133,150 research outputs found
DHAR activity in leaves and floral organs of D<sub>Ta</sub>, D<sub>Nt</sub>, and WT plants.
<p>DHAR activity was measured in leaves or the indicated floral organs in DHAR-overexpressing (D<sub>Ta</sub>), DHAR-overexpressing (D<sub>Nt</sub>), and wild-type (WT) plants.</p
Market Share and Price Setting Behavior For Private Labels and National Brands
In this paper, we develop a framework for estimating market share and price reaction equations in an attempt to understand the nature of competitive interaction in the market for private label and branded grocery products. Specifically, we employ a Linear Approximate Almost Ideal Demand System (LA/AIDS, Deaton and Muellbauer 1980a), and specify the price reaction equations derived under the LA/AIDS demand specification. This enables us to consistently estimate shareprice relationships, accounting for demand-side and competitive reactions simultaneously. The incorporation of LA/AIDS demands into a structural equation framework represents an important departure from previous demand specifications in competitive analysis. In addition to its rigorous foundation in utility theory, LA/AIDS demands are especially flexible for demand-side estimation, provide consistent reaction functions on the supply side, and have particularly nice aggregation properties. In order to test the relative contribution of employing a flexible LA/AIDS functional form on the demand-side, and in a preliminary attempt to assess manufacturer-retailer interaction on the supply side, we compare our general framework (LA/AIDS demands with retailers following a proportional markup rule) to two alternative models of manufacturer-retailer interaction: Chois (1991) Manufacturer-Stackelberg (M-S) model under linear demands, as well as Shubik demands under Stackelberg conduct (Raju, Sethuraman and Dhar 1995a, 1995b). We first apply the proposed LA/AIDS framework to a sample pooled across 125 categories and 54 geographic markets in an attempt to produce result that generalize across the entire sample. We then estimate all three models using data on seven individual categories: bread, milk, pasta, yogurt, instant coffee, butter and margarine. We conclude that the LA/AIDS demand specification is preferred to the alternative linear demand specifications. Further, the empirical findings support our premise that consumer response to price and promotion decisions (demand) and the factors influencing firm pricing behavior (supply) jointly determine observed market prices and market shares. Most importantly, our specification with LA/AIDS demands produced excellent overall fits, as well as reasonable demand and price response elasticities.competition, competitive strategy, private labels, pricing, Demand and Price Analysis, Industrial Organization,
Analytical study on optimal control problems in hyperthermia
Thesis: Ph. D., Vidyasagar University,Department of Applied Mathematics with Oceanology and Computer Programming, Midnapore, West Bengal, India, 2012Analytical study on optimal control problems in hyperthermiaDepartment of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore, West Bengal, Indi
Ti3CrCu4: A possible 2-D ferromagnetic spin fluctuating system
Ti3CrCu4 is a new ternary compound which crystallizes in the tetragonal Ti3Pd5 structure type. The Cr atoms form square nets in the a-b plane (a = 3.124 Å) which are separated by an unusually large distance c = 11.228 Å along the tetragonal axis, thus forming a -2-D Cr-sublattice. The paramagnetic susceptibility is characterized by a low effective moment, μeff = 1.1 μB, a low paramagnetic Curie temperature θP (below 7 K) and a temperature independent χ0 = 6.7 x 10−4 emu/mol. The magnetization at 1.8 K increases rapidly with field nearly saturating to 0.2 μB/f.u. The zero field heat capacity C/T shows an upturn below 7 K (∼190 mJ/mol K2 at ∼0.1K) which is suppressed in applied magnetic fields and interpreted as suggesting the presence of spin fluctuations. The resistivity at low temperatures shows non-Fermi liquid behavior. Overall, the experimental data thus reveal an unusual magnetic state in Ti3CrCu4, which likely has its origin in the layered nature of the Cr sub-lattice and ferromagnetic spin fluctuations. Density functional theoretical calculations reveal a sharp Cr density of states peak just above the Fermi level, indicating the propensity of Ti3CrCu4 to become magnetic
Do rules control power? GATT articles and arrangements in the Uruguay Round
Many complain and offer evidence that in recent years the GATT system has become more power-oriented, less stable, and less equitable. A concern to reverse this drift was one of the motives that brought the international community to agree to undertake the Uruguay Round. Rules control power, assumed the signers of the Punte del Este declaration, therefore elaborating and extending GATT rules would move the international community toward a fairer, more stable international trading system. Finger and Dhar contend that the opposite is true. Particularly in the 1980s, the elaboration and application of GATT rules has been an exercise in the application of economic and political power, not in its control. GATT rules, in theory, are there to limit national trade restrictions. Finger and Dhar contend that in fact things work the other way around: national practice comes first, and determines what the GATT rules mean. GATT's rules do not put limits on national practices, but provide international santion for these practices. Such rules are not part of the thereforelution but are part of the problem. Theirs is a situation-specific argument, say Finger and Dhar, not a generic one. Their target is not"rules", nor is it"GATT". Rather, it is the GATT rules.Rules of Origin,TF054105-DONOR FUNDED OPERATION ADMINISTRATION FEE INCOME AND EXPENSE ACCOUNT,Common Carriers Industry,Transport and Trade Logistics,Trade Policy
Accumulation of processing intermediates of the RAS2 protein in strain 112 of Saccharomyces cerevisiae.
Introduction: Migrant Labor in the Platform Economy. The Intersection of Labor Digitization, Platform Capitalism, Migration, and Resistance
In the last forty years, since the end of organisation of production by the so-called Taylorist-Fordist criteria and the beginning of the neo-liberal revolution, work in the advanced economies has undergone profound transformations. These have been driven by key changes in production and its organisation, such as the increasing externalization of production phases, along with the consequent – enormous – growth of the service economy, and the rapid development of digital technologies.
More recently, a key role has been played by the development of platform capitalism and the gig economy as a way of organizing work and providing services. Some of the most important global companies, such as Uber, Amazon, Deliveroo, Helpling, etc. operate in this booming sector, which received a further boost during the Covid-19 pandemic. These companies supply a variety of key services such as ride-hailing, domestic and care work, food delivery, and many others, which are provided by a diverse workforce in terms of gender, nationality, and age, and in very different working conditions. One of the main effects of the expansion of the gig economy has been a further reduction of workplace rights and the growth of precarious labour. While reduced security for workers was already happening because of the financialization of the economy, which counterposed shareholders’ and workers’ interests, the intrinsic complexity of the service economy and the impact of information technology, the gig economy has accelerated this process.
There are no comprehensive data on the precise number of people employed across this sector and even less on migrant and foreign workers. However, even in countries with high unemployment or with a huge supply of unskilled labour, it is widely documented that migrant workers provide a large share of the labour power behind a range of gig economy services. They constitute a vital infrastructure for these platforms, which can rely on a perpetual influx of migrant workers in sectors such as logistics, deliveries, care, and cleaning, etc. On the one hand, occupations in the gig economy are often degraded, as they imply longer working hours at lower salaries, and therefore find in migrants workers who can fill them. On the other hand, they also offer migrants much-needed income opportunities, particularly for those who lack skills and are not easily employable or those whose legal status is less secure.
While there is growing academic interest in the platform economy, its technological aspects, its business model and working conditions, very little research has focused on the role of migrant labour and its governance at the intersection of labour market regulation, social welfare, international migration and migration policies. Some research has recently focused on struggles in the logistics sector in Italy – mostly engaged in by migrant workers. However, there are still huge gaps in research on how platform-mediated gig work impacts the structural vulnerability of migrant workers and how this can be addressed by welfare policies
MeSH term explosion and author rank improve expert recommendations
Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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