Harvard 1996

Paul Farmer, co-founder of Partners in Health and currently the Presley Professor of Medical Anthrop...

Jon Hanson presented at the third annual conference on Law and Mind Sciences,The Free Market Mindset...

Jon Hanson presented at the third annual conference on Law and Mind Sciences,The Free Market Mindset...

Jon Hanson presented at the third annual conference on Law and Mind Sciences,The Free Market Mindset...

Jon Hanson presented at the third annual conference on Law and Mind Sciences,The Free Market Mindset...

As plans for an H1N1 vaccine are announced, Barry Bloom, Professor of Public Health at Harvard, expl...

For the complete presentation please visit isites.harvard.edu On September 11, 2008 economist Jeffre...

For the complete presentation please visit isites.harvard.edu On September 11, 2008 economist Jeffre...

For the complete presentation please visit isites.harvard.edu On September 11, 2008 economist Jeffre...

For the complete presentation please visit isites.harvard.edu On September 11, 2008 economist Jeffre...

The Harvard Five was a group of architects that settled in N...

Harvard Man is a 2001 feature film written and directed by J...

The Harvard-Kyoto Convention is a system for transliterating...

The Harvard Mark IV was an electronic stored-program compute...

The Harvard Mark II was an electromechanical computer built ...

The Harvard Advocate, the literary magazine of Harvard Colle...

Abstract For the classical k-means clustering algorithm, the problem of selecting an appropriate k is a hard problem and affects the performance of k-means strongly. When used for clustering analysis, the conventional competitive learning (CL) algorithms also have a similar crucial problem-the selection of an appropriate number of neural units. The performance of frequency sensitive competitive learning (FSCL)-one version of the improved CL algorithms, also significantly deteriorates when the number of units is inappropriately selected. The pa...

Abstract Material indentation is a popular method for determining the mechanical properties of biomaterials. The basic premise of an indentation experiment is to physically displace the sample using an indenter that measures resistive force, in order to formulate a force-displacement curve. However, doing so requires estimating the initial contact event between the indenter and the sample¿a statistical changepoint detection problem that has not been rigorously addressed in the biomaterials literature to date. Here we adopt a hierarchical Bayes...

Abstract After building up some connections between the radial basis function (RBF) network and kernel regression estimator (KRE), the authors introduce several recent theoretical results on KRE. They show that KRE can not only be used as a neural network model, but can also provide new results on the theoretical analysis of an RBF net in terms of the ability of approximation, the rate of convergence, and the size of the receptive field of the radial basis function. These results are quite useful for further theoretical studies on the RBF as w...

Abstract A statistical physics approach is adapted to the problem of robust principal component analysis (PCA). Some commonly used PCA learning rules are connected to some energy function, which is further generalized by adding a binary decision field with a given prior distribution so that outliers are considered. The generalized energy is used to define a Gibbs distribution and to derive an effective energy function, which is further used to derive a learning rule for robust, PCA. Experimental results have shown that the robust rules conside...

Abstract A method for detecting and describing the features of faces using deformable templates is described. The feature of interest, an eye for example, is described by a parameterized template. An energy function is defined which links edges, peaks, and valleys in the image intensity to corresponding properties of the template. The template then interacts dynamically with the image, by altering its parameter values to minimize the energy function, thereby deforming itself to find the best fit. The final parameter values can be used as descr...

We consider Magnetoencephalographic (MEG) data in a signal detection framework. Our data set consists of responses evoked by the voiced syllables /b? / and /d? / and the corresponding voiceless syllables /p?/ and /t?/. The data yield well to principal component analysis (PCA), with a reasonable subspace in the order of three components out of 37 channels. To discriminate between responses to the voiced and voiceless versions of a consonant we form a feature vector by either matched ?ltering or wavelet packet decomposition and use a mixture-of-e...

Abstract In this article, we discussed the emerging informatics issues of high-throughput screening (HTS) using automated fluorescence microscopy technology, otherwise known as high-content screening (HCS) in the pharmaceutical industry. Optimal methods of scoring biomarkers and identifying candidate hits have been actively studied in academia and industry, with the exception of data modeling topics. To find candidate hits, we need to score the images associated with different compound interventions. In the application example of RNAi genome-w...

Abstract Antibiotic resistance is a rapidly evolving problem that is not being adequately met by new antimicrobial drugs. Thus, there is a pressing need for effective antibacterial therapies that can be adapted against antibiotic-resistant bacteria. Here, we engineered synthetic bacteriophage to combat antibiotic-resistant bacteria by overexpressing proteins and attacking gene networks which are not directly targeted by antibiotics. By suppressing the SOS network, our engineered phage enhance bacterial killing by quinolone antibiotics by sever...

Abstract Antibiotic resistance is a rapidly evolving problem that is not being adequately met by new antimicrobial drugs. Thus, there is a pressing need for effective antibacterial therapies that can be adapted against antibiotic-resistant bacteria. Here, we engineered synthetic bacteriophage to combat antibiotic-resistant bacteria by overexpressing proteins and attacking gene networks which are not directly targeted by antibiotics. By suppressing the SOS network, our engineered phage enhance bacterial killing by quinolone antibiotics by sever...

Abstract Antibiotic resistance is a rapidly evolving problem that is not being adequately met by new antimicrobial drugs. Thus, there is a pressing need for effective antibacterial therapies that can be adapted against antibiotic-resistant bacteria. Here, we engineered synthetic bacteriophage to combat antibiotic-resistant bacteria by overexpressing proteins and attacking gene networks which are not directly targeted by antibiotics. By suppressing the SOS network, our engineered phage enhance bacterial killing by quinolone antibiotics by sever...

Abstract Evaluation of arterial baroreflex in cardiovascular control is an important topic in cardiology and clinical medicine. In this paper, we present a point process approach to estimate the dynamic baroreflex gain in a closed-loop model of the cardiovascular system. Specifically, the inverse Gaussian probability distribution is used to model the heartbeat interval, whereas the instantaneous mean is modulated by a bivariate autoregressive model that contains the previous R-R intervals and systolic blood pressure (SBP) measures. The instant...

Abstract Evaluation of arterial baroreflex in cardiovascular control is an important topic in cardiology and clinical medicine. In this paper, we present a point process approach to estimate the dynamic baroreflex gain in a closed-loop model of the cardiovascular system. Specifically, the inverse Gaussian probability distribution is used to model the heartbeat interval, whereas the instantaneous mean is modulated by a bivariate autoregressive model that contains the previous R-R intervals and systolic blood pressure (SBP) measures. The instant...

Abstract It is shown that frequency sensitive competitive learning (FSCL), one version of the recently improved competitive learning (CL) algorithms, significantly deteriorates in performance when the number of units is inappropriately selected. An algorithm called rival penalized competitive learning (RPCL) is proposed. In this algorithm, not only is the winner unit modified to adapt to the input for each input, but its rival (the 2nd winner) is delearned by a smaller learning rate. RPCL can be regarded as an unsupervised extension of Kohonen...

Abstract A cylindrical dipole antenna having finite dimensions, and surrounded by a homogeneous warm plasma, has been treated as a boundary-value problem. The current on the antenna has been determined and has been found to possess an oscillatory component, the fluctuations of which have approximately the wavelength of the surface wave on a corresponding infinite cylinder immersed in a warm plasma.