The documentation of clinical psychotropic drug trials; [a workbook and user's guide to understanding and interpreting the data processing and output of the Biometric Laboratory Information Processing System (BLIPS), George Washington University, and the Early Clinical Drug Evaluation Unit (ECDEU), NIMH.

On cover of v. 2: Early clinical drug evaluation units, analyses.

Application of the Heterogeneous System Prediction Method to Pattern Recognition Problem

* This work was financially supported by RFBR-04-01-00858.

About New Pattern Recognition Method for the Universal Program System “Recognition”

In this work the new pattern recognition method based on the unification of algebraic and statistical approaches is described. The main point of the method is the voting procedure upon the statistically weighted regularities, which are linear separators in two-dimensional projections of feature space. The report contains brief description of the theoretical foundations of the method, description of its software realization and the results of series of experiments proving its usefulness in practical tasks.

Neural-Like Growing Networks in Intelligent System of Recognition of Images

The neural-like growing networks used in the intelligent system of recognition of images are under consideration in this paper. All operations made over the image on a pre-design stage and also classification and storage of the information about the images and their further identification are made extremely by mechanisms of neural-like networks without usage of complex algorithms requiring considerable volumes of calculus. At the conforming hardware support the neural network methods allow considerably to increase the effectiveness of the solution of the given class of problems, saving a high accuracy of result and high level of response, both in a mode of training, and in a mode of identification.

An incremental multilinear system for human face learning and recognition

This dissertation establishes a novel system for human face learning and recognition based on incremental multilinear Principal Component Analysis (PCA). Most of the existing face recognition systems need training data during the learning process. The system as proposed in this dissertation utilizes an unsupervised or weakly supervised learning approach, in which the learning phase requires a minimal amount of training data. It also overcomes the inability of traditional systems to adapt to the testing phase as the decision process for the newly acquired images continues to rely on that same old training data set. Consequently when a new training set is to be used, the traditional approach will require that the entire eigensystem will have to be generated again. However, as a means to speed up this computational process, the proposed method uses the eigensystem generated from the old training set together with the new images to generate more effectively the new eigensystem in a so-called incremental learning process. In the empirical evaluation phase, there are two key factors that are essential in evaluating the performance of the proposed method: (1) recognition accuracy and (2) computational complexity. In order to establish the most suitable algorithm for this research, a comparative analysis of the best performing methods has been carried out first. The results of the comparative analysis advocated for the initial utilization of the multilinear PCA in our research. As for the consideration of the issue of computational complexity for the subspace update procedure, a novel incremental algorithm, which combines the traditional sequential Karhunen-Loeve (SKL) algorithm with the newly developed incremental modified fast PCA algorithm, was established. In order to utilize the multilinear PCA in the incremental process, a new unfolding method was developed to affix the newly added data at the end of the previous data. The results of the incremental process based on these two methods were obtained to bear out these new theoretical improvements. Some object tracking results using video images are also provided as another challenging task to prove the soundness of this incremental multilinear learning method.

Enzymatic profiling of cellulosomal enzymes from the human gut bacterium, Ruminococcus champanellensis, reveals a fine-tuned system for cohesin-dockerin recognition

Funded by United States-Israel Binational Science Foundation (BSF), Jerusalem, Israel Israel Science Foundation (ISF). Grant Number: 1349 Israel Science Foundation Israel Strategic Alternative Energy Foundation (I-SAEF) BBSRC. Grant Number: BB/L009951/1 Scottish Government Food, Land and People program Society for Applied Microbiology

Enzymatic profiling of cellulosomal enzymes from the human gut bacterium, Ruminococcus champanellensis, reveals a fine-tuned system for cohesin-dockerin recognition

Funded by United States-Israel Binational Science Foundation (BSF), Jerusalem, Israel Israel Science Foundation (ISF). Grant Number: 1349 Israel Science Foundation Israel Strategic Alternative Energy Foundation (I-SAEF) BBSRC. Grant Number: BB/L009951/1 Scottish Government Food, Land and People program Society for Applied Microbiology

DESEO: an active vision system for detection, tracking and recognition

[EN]In this paper, a basic conceptual architecture aimed at the design of Computer Vision System is qualitatively described. The proposed architecture addresses the design of vision systems in a modular fashion using modules with three distinct units or components: a processing network or diagnostics unit, a control unit and a communications unit. The control of the system at the modules level is designed based on a Discrete Events Model. This basic methodology has been used to design a realtime active vision system for detection, tracking and recognition of people. It is made up of three functional modules aimed at the detection, tracking, recognition of moving individuals plus a supervision module.

Integrating an Emotion Recognition Model for the Flobi System

This thesis investigates if emotional states of users interacting with a virtual robot can be recognized reliably and if specific interaction strategy can change the users’ emotional state and affect users’ risk decision. For this investigation, the OpenFace [1] emotion recognition model was intended to be integrated into the Flobi [2] system, to allow the agent to be aware of the current emotional state of the user and to react appropriately. There was an open source ROS [3] bridge available online to integrate OpenFace to the Flobi simulation but it was not consistent with some other projects in Flobi distribution. Then due to technical reasons DeepFace was selected. In a human-agent interaction, the system is compared to a system without using emotion recognition. Evaluation could happen at different levels: evaluation of emotion recognition model, evaluation of the interaction strategy, and evaluation of effect of interaction on user decision. The results showed that the happy emotion induction was 58% and fear emotion induction 77% successful. Risk decision results show that: in happy induction after interaction 16.6% of participants switched to a lower risk decision and 75% of them did not change their decision and the remaining switched to a higher risk decision. In fear inducted participants 33.3% decreased risk 66.6 % did not change their decision The emotion recognition accuracy was and had bias to. The sensitivity and specificity is calculated for each emotion class. The emotion recognition model classifies happy emotions as neutral in most of the time.

Sensorless synchronization method for thin-film direct optical broadband monitoring system

Optical monitoring systems are necessary to manufacture multilayer thin-film optical filters with low tolerance on spectrum specification. Furthermore, to have better accuracy on the measurement of film thickness, direct monitoring is a must. Direct monitoring implies acquiring spectrum data from the optical component undergoing the film deposition itself, in real time. In making film depositions on surfaces of optical components, the high vacuum evaporator chamber is the most popular equipment. Inside the evaporator, at the top of the chamber, there is a metallic support with several holes where the optical components are assembled. This metallic support has rotary motion to promote film homogenization. To acquire a measurement of the spectrum of the film in deposition, it is necessary to pass a light beam through a glass witness undergoing the film deposition process, and collect a sample of the light beam using a spectrometer. As both the light beam and the light collector are stationary, a synchronization system is required to identify the moment at which the optical component passes through the light beam.

SKAN: Skin Scanner - System for Skin Cancer Detection Using Adaptive Techniques

SKAN: Skin Scanner - System for Skin Cancer Detection Using Adaptive Techniques - combines computer engineering concepts with areas like dermatology and oncology. Its objective is to discern images of skin cancer, specifically melanoma, from others that show only common spots or other types of skin diseases, using image recognition. This work makes use of the ABCDE visual rule, which is often used by dermatologists for melanoma identification, to define which characteristics are analyzed by the software. It then applies various algorithms and techniques, including an ellipse-fitting algorithm, to extract and measure these characteristics and decide whether the spot is a melanoma or not. The achieved results are presented with special focus on the adaptive decision-making and its effect on the diagnosis. Finally, other applications of the software and its algorithms are presented.

NEURAL CORRELATES OF SCENT MARKING BEHAVIOR IN C57BL/6J MICE: DETECTION AND RECOGNITION OF A SOCIAL STIMULUS

Mice show urinary scent marking behavior as a form of social communication. Marking to a conspecific stimulus mouse or odor varies with stimulus familiarity, indicating discrimination of novel and familiar animals. This study investigated Fos immunoreactivity in inbred C57BL/6J (C57) males following scent marking behavior in response to detection of a social stimulus, or discrimination between a familiar and an unfamiliar conspecific. In Experiment 1 C57 mice were exposed for four daily trials to an empty chamber; on a test day they were exposed to the same chamber or to a male CD-1 mouse in that chamber. Increased scent marking to the CD-1 mouse was associated with increased Fos-immunoreactive cells in the basolateral amygdala, medial amygdala, and dorsal and ventral premammillary nuclei. In Experiment 2 C57 mice were habituated to a CD-1 male for 4 consecutive days and, on the 5th day, exposed to the same CD-1 male, or to a novel CD-1 male. Mice exposed to a novel CD-1 displayed a significant increase in scent marking compared to their last exposure to the familiar stimulus, indicating discrimination of the novelty of this social stimulus. Marking to the novel stimulus was associated with enhanced activation of several telencephalic, as well as hypothalamic and midbrain, structures in which activation had not been seen in the detection paradigm (Experiment 1). These included medial prefrontal and piriform cortices, and lateral septum; the paraventricular nuclei, ventromedial nuclei, and lateral area of the hypothalamus, and the ventrolateral column of the periaqueductal gray. These data suggest that a circumscribed group of structures largely concerned with olfaction is involved in detection of a conspecific olfactory stimulus, whereas discrimination of a novel vs. a familiar conspecific stimulus engages a wider range of forebrain structures encompassing higher-order processes and potentially providing an interface between cognitions and emotions. (C) 2009 IBRO. Published by Elsevier Ltd. All rights reserved.

Classification System of Raman Spectra using Cluster Analysis to Diagnose Coronary Artery Lesions

The traditional methods employed to detect atherosclerotic lesions allow for the identification of lesions; however, they do not provide specific characterization of the lesion`s biochemistry. Currently, Raman spectroscopy techniques are widely used as a characterization method for unknown substances, which makes this technique very important for detecting atherosclerotic lesions. The spectral interpretation is based on the analysis of frequency peaks present in the signal; however, spectra obtained from the same substance can show peaks slightly different and these differences make difficult the creation of an automatic method for spectral signal analysis. This paper presents a signal analysis method based on a clustering technique that allows for the classification of spectra as well as the inference of a diagnosis about the arterial wall condition. The objective is to develop a computational tool that is able to create clusters of spectra according to the arterial wall state and, after data collection, to allow for the classification of a specific spectrum into its correct cluster.

The pattern recognition receptors Nod1 and Nod2 account for neutrophil recruitment to the lungs of mice infected with Legionella pneumophila

The intracellular bacterium Legionella pneumophila induces a severe form of pneumonia called Legionnaires diseases, which is characterized by a strong neutrophil (NE) infiltrate to the lungs of infected individuals. Although the participation of pattern recognition receptors, such as Toll-like receptors, was recently demonstrated, there is no information on the role of nod-like receptors (NLRs) for bacterial recognition in vivo and for NE recruitment to the lungs. Here, we employed a murine model of Legionnaires disease to evaluate host and bacterial factors involved in NE recruitment to the mice lungs. We found that L. pneumophila type four secretion system, known as Dot/Icm, was required for NE recruitment as dot/icm mutants fail to trigger NE recruitment in a process independent of bacterial multiplication. By using mice deficient for Nod1, Nod2, and Rip2, we found that these receptors accounted for NE recruitment to the lungs of infected mice. In addition, Rip2-dependent responses were important for cytokine production and bacterial clearance. Collectively, these studies show that Nod1, Nod2, and Rip2 account for generation of innate immune responses in vivo, which are important for NE recruitment and bacterial clearance in a murine model of Legionnaires diseases. (C) 2010 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.

A revision of Benedenia Diesing, 1858 including a redescription of B-sciaenae (van Beneden, 1856) Odhner, 1905 and recognition of Menziesia Gibson, 1976 (Monogenea : Capsalidae)

Benedenia Diesing, 1858, a genus of capsalid (benedeniine) monogeneans, is redefined. The generic diagnosis is amended to include: the path of tendons in the haptor from extrinsic muscles in the body; presence and form of the marginal valve; a penis occupying a penis canal with weakly muscular wall; a weakly muscular accessory gland reservoir proximal to the penis and enclosed by a proximal extension of the wall of the penis canal; male and female genital apertures usually common, rarely separate; vagina with pore usually close to the common genital pore but may open in mid body between the germarium and the common genital pore, or anterior to the common genital pore. A conservative approach is adopted and the generic diagnosis is clarified and broadened to accommodate species that display some variation in reproductive anatomy, especially of the female system. We argue against potential alternative actions such as defining Benedenia strictly to contain species with separate male and female genital apertures and against recognition of a separate genus, Tareenia Hussey, 1986, for species with a vaginal pore anterior to the common genital pore. Under our conception, Benedenia comprises 21 species: B. sciaenae (van Beneden, 1856) Odhner, 1905 (type species); B. acanthopagri (Hussey, 1986) comb. nov.; B. anticavaginata Byrnes, 1986; B. bodiani Yamaguti, 1968; B. elongata (Yamaguti, 1968) Egorova, 1997; B. epinepheli (Yamaguti, 1937) Meserve, 1938; B. hawaiiensis Yamaguti, 1968; B. hendorffi(von Linstow, 1889) Odhner, 1905; B. hoshinai Ogawa, 1984; B. innobilitata Burhnheim Gomes and Varela, 1973: B. jaliscana Bravo-Hollis, 1952; B. lolo Yamaguti, 1968; B. lutjani Whittington and Kearn, 1993: B. monticellii (Parona and Perugia, 1895) Johnston, 1929; B. ovata (Goto, 1894) Johnston. 1929: B. pompatica Burhnheim, Gomes and Varela, 1973; B. rohdei Whittington, Kearn and Beverley-Burton, 1994; B. scari Yamaguti, 1968; B. sekii (Yamaguti, 1937) Meserve, 1938; B, seriolae (Yamaguti, 1934) Meserve, 1938; and B. synagris Yamaguti, 1953. The type species, B. sciaenae, is redescribed based on new material from Australia. No types for this taxon were designated and we have assigned a series of voucher specimens. Tareenia acanthopagri Hussey, 1986 becomes B. acanthopagri (Hussey, 1986) comb. nov. and T. anticavaginata (Byrnes, 1986) Egorova, 1997 and T. lutjani (Whittington and Kearn, 1993) Egorova, 1997 are returned to Benedenia as B. anticavaginata and B. lutjani Benedenia akaisaki Iwata, 1990 is considered a synonym of B. ovata and B. kintoki Iwata, 1990 is considered a synonym of B. elongata. Two species, B, madai Ishii and Sawada, 1938 and B. pagrosomi Ishii and Sawada, 1938, are considered species inquirendae. Based on the redefinition of Benedenia, the diagnosis for the Benedeniinae is amended. Tareenia is synonymized with Benedenia but Menziesia Gibson, 1976 is recognized and its generic diagnosis amended to include: anterior attachment organs tending to form a 'hooded' appearance; prominent anterior gland cells between the pharynx and the anterior margin of the body: long penis, tapering proximally, occupying a penis canal with weakly muscular wall: penis canal and penis describe a sigmoid; accessory gland reservoir dorsal and alongside, or posterior and lateral to, proximal end of the penis and enclosed by a proximal extension of the wall of the penis canal. Under this conception. Menziesia comprises: M. noblei (Menzies. 1946) Gibson, 1976 (type species); M. malaboni (Velasquez. 1982) comb. nov.: M. merinthe (Yamaguti, 1968) Gibson. 1976: M. ovalis (Yamaguti, 1968) Gibson, 1976: and M. sebastodis (Yamaguti, 1934) comb, nov. A key to valid species of Benedenia and Menziesia is provided and a list is presented of published records of undescribed or unattributed species of Benedenia. Some protocols are suggested for preparation of benedeniine material to enhance future taxonomic studies and comparisons. The host-specificity and geographic distribution of species in these revised genera are discussed. The composition of the Capsalidae is discussed and some difficulties in defining and distinguishing between its different subfamilies are considered.