1,950 research outputs found
INCENTIVE INCOMPATIBILITY IN CO-OPERATIVE AGRIBUSINESS FIRMS IN CANADA: DOES SUPPLY MANAGEMENT MATTER?
Agribusiness,
Image Anaysis for Predicting Body Weight in Humans
Systems and methods for determining body weight predictions and human conditions are disclosed. A body weight may be predicted by capturing at least one image of a human, and determining, from the image, a body weight prediction of the human by processing the at least one image with a data processor. The body weight prediction may further be based on an age-based weight factor. A model such as a neural network model may be used to predict body weight
Reprogrammable field programmable gate array with integrated system for mitigating effects of single event upsets
An integrated system mitigates the effects of a single event upset (SEU) on a reprogrammable field programmable gate array (RFPGA). The system includes (i) a RFPGA having an internal configuration memory, and (ii) a memory for storing a configuration associated with the RFPGA. Logic circuitry programmed into the RFPGA and coupled to the memory reloads a portion of the configuration from the memory into the RFPGA's internal configuration memory at predetermined times. Additional SEU mitigation can be provided by logic circuitry on the RFPGA that monitors and maintains synchronized operation of the RFPGA's digital clock managers
Systems and methods for detecting a failure event in a field programmable gate array
An embodiment generally relates to a method of self-detecting an error in a field programmable gate array (FPGA). The method includes writing a signature value into a signature memory in the FPGA and determining a conclusion of a configuration refresh operation in the FPGA. The method also includes reading an outcome value from the signature memory
An efficient shooting algorithm for Evans function calculations in large systems
In Evans function computations of the spectra of asymptotically
constant-coefficient linear operators, a basic issue is the efficient and
numerically stable computation of subspaces evolving according to the
associated eigenvalue ODE. For small systems, a fast, shooting algorithm may be
obtained by representing subspaces as single exterior products
\cite{AS,Br.1,Br.2,BrZ,BDG}. For large systems, however, the dimension of the
exterior-product space quickly becomes prohibitive, growing as ,
where is the dimension of the system written as a first-order ODE and
(typically ) is the dimension of the subspace. We resolve this
difficulty by the introduction of a simple polar coordinate algorithm
representing ``pure'' (monomial) products as scalar multiples of orthonormal
bases, for which the angular equation is a numerically optimized version of the
continuous orthogonalization method of Drury--Davey \cite{Da,Dr} and the radial
equation is evaluable by quadrature. Notably, the polar-coordinate method
preserves the important property of analyticity with respect to parameters.Comment: 21 pp., two figure
The Effect of Timely Loan Loss Recognition in the Banking System on Firmsâ Debt Structure
In this paper, we examine how the system under which banks record loan losses,
specifically, the timeliness of loan loss recognition, affects borrowersâ debt
structure. Using data from 55 countries, we find that more timely loan loss
recognition reduces firmsâ reliance on bank debt relative to public debt. This
result reflects an equilibrium in which firms in an economy rely less on bank
debt when there are greater lending constraints and more borrower monitoring
in a more timely loan loss accounting regime. Consistent with such a regime
resulting in tighter loan conditions, we find an even lower use of bank debt in
countries with stringent bank supervision and among financially constrained
and opaque firms. Overall, our study offers new insight into the real effects of
banksâ accounting on firmsâ debt structure when firms can choose alternative
debt providers
Product Market Effects of Customer Referencing
Customer referencing refers to the phenomenon that a firm intentionally reveals its connections to customers to raise its own reputation. In this paper, we rely on textual data about customer referencing in financial reports to examine the association between customer referencing and firmsâ future product market performance. We first document that a substantial number of firms voluntarily reference customers in financial reports. We find that these firms have a better future performance, consistent with the notion that the customers being referenced certify product quality and enhance a firmâs reputation. We also find that the positive association is stronger for firms with a low reputation and those that are risky or facing high product market competition. These results further affirm the product quality certification and reputation enhancement roles of customer referencing. Our study provides new insight into how certification via inter-organizational relationships can be an intangible marketing asset
Lending Corruption and Bank Loan Contracting: Cross-Country Evidence
Lending corruption is an important agency problem for banks. Using data from the World Bank Business Environmental Survey, we find that in countries with more corruption, banks give more favorable loan terms to borrowers. This relation is stronger when firms are under more financing constraints, consistent with corruption being important to obtaining favorable loan terms when the supply of debt capital is tighter. In line with the expectation that monitoring constrains agency problems, this relation is weaker in countries with higher foreign ownership of banks or where Protestantism is the primary religion. In the syndicated loan market, participant banks are inclined to lend less in countries where lending corruption is more prevalent. Firms in countries with greater corruption prefer private bank debt over public bonds and are more leveraged. Banks in countries with more lending corruption have poor loan quality, worse earnings performance, and are more susceptible to trouble during a financial crisis. Overall, our findings suggest that corruption greases the wheels for borrowers but is detrimental to bank shareholders
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