Traditionally, the classification of tumors has been based on morphology, or the tumor�s structure, but morphological classification cannot accurately predict biological behavior, prognosis, or response to treatment. In 1998, the NCI director issued an appeal, or Director�s Challenge, called �Toward a ...
Cancer.gov
Accurate exposure classification tools are required to link exposure with health effects in epidemiological studies. Although long-term integrated exposure measurements are a critical component of exposure assessment, the ability to include these measurements into epidemiologic...
EPA Science Inventory
BackgroundOne intractable problem with using microarray data analysis for cancer classification is how to reduce the extremely high-dimensionality gene feature data to remove the effects of noise. Feature selection is often used to address this problem by selecting informative genes from among thousands or tens of thousands of genes. However, most of the existing methods of ...
PubMed Central
Abnormal chromosome segregation at mitosis is one way by which neoplastic cells accumulate the many genetic abnormalities required for tumour development. In this paper, a straightforward morphology-based classification of chromosome segregation errors in cancer is suggested. This classification distinguishes between abnormalities in spindle symmetry ...
PubMed
The development of DNA microarray technologies over the past decade has revolutionised translational cancer research. These technologies were originally hailed as more objective, comprehensive replacements for traditional histopathological cancer classification systems, based on microscopic morphology. Although DNA microarray-based gene expression profiling (GEP) remains ...
BackgroundFor over 150 years, pathologists have relied on histomorphology to classify and diagnose neoplasms. Their success has been stunning, permitting the accurate diagnosis of thousands of different types of neoplasms using only a microscope and a trained eye. In the past two decades, cancer genomics has challenged the supremacy of histomorphology by identifying genetic ...
... CLASSIFICATION, USER NEEDS, MOLECULAR STRUCTURE, ATOMIC PROPERTIES, MOLECULAR PROPERTIES, AIR FORCE OPERATIONS. ...
DTIC Science & Technology
The multiple signal classification method (MUSIC) for frequency estimation is used to compute the frequency dispersion curves of a diatomic chain from the time-dependent structure factor. In this paper, the authors demonstrate that MUSIC can accurately determine the frequencies from very short time trajectories. MUSIC is also used to show how the ...
Energy Citations Database
Subtypes of renal tumors have different genetic backgrounds, prognoses, and responses to surgical and medical treatment, and their differential diagnosis is a frequent challenge for pathologists. New biomarkers can help improve the diagnosis and hence the management of renal cancer patients. We extracted RNA from 71 formalin-fixed paraffin-embedded (FFPE) renal tumor samples and measured ...
Neural network techniques for multispectral image classification and spatial pattern detection are compared to the standard techniques of maximum-likelihood classification and spatial correlation. The neural network produced a more accurate classification...
National Technical Information Service (NTIS)
In the past 50 years, we have witnessed explosive growth in the understanding of normal and neoplastic lymphoid cells. B-cell, T-cell, and natural killer (NK)�cell neoplasms in many respects recapitulate normal stages of lymphoid cell differentiation and function, so that they can be to some extent classified according to the corresponding normal stage. Likewise, the ...
Section on vertebrate animal classification from the larger biology textbook. Includes information on morphological classification, evolution, some molecular classification, life cycles, drawings and diagrams.
NSDL National Science Digital Library
Section on invertebrate animal classification from the larger biology textbook. Includes information on morphological classification, evolution, some molecular classification, life cycles, drawing and diagrams.
The advent of microarray-based gene-expression profiling a decade ago raised high expectations for rapid advances in breast cancer classification, prognostication and prediction. Despite the development of molecular classifications, and prognostic and predictive gene-expression signatures, microarray-based studies have not yielded ...
The ectodermal dysplasias include a complex and highly diverse group of heritable disorders that share in common developmental abnormalities of ectodermal derivatives. The broader definition of ectodermal dysplasias (as heritable disorders involving at least two of the ectodermal derivatives nails, teeth, hair, and eccrine sweat glands) encompasses 170-200 conditions. Some conditions included by ...
... Classification of this page unclassified Classification of Abstract unclassified ... Armament Drive System � Elevation and Azimuth drives ... System Test ...
... positioning data on the order of one meter. Substrate Classification- To produce accurate maps of these areas we applied the RoxAnn substrate classification method...
NBII National Biological Information Infrastructure
Recent studies suggest accurate prediction of tissue of origin for human cancers can be achieved by applying sophisticated statistical learning procedures to gene expression data obtained from DNA microarrays. We have pursued the hypothesis that a more straightforward and equally accurate strategy for classifying human tumors is to use a simple algorithm ...
To establish precise diagnostic algorithms and standardised treatment of sarcomas in specialized centers, the interdisciplinary research group KoSar (sarcoma competence network) has been funded by German Cancer Aid. A sarcoma tissue repository and a diagnostic reference center have been set up, presently containing about 1000 accurately diagnosed sarcomas of different ...
BackgroundMalassezia yeasts are normal flora of the skin found in 75~98% of healthy subjects. The accurate identification of the Malassezia species is important for determining the pathogenesis of the Malassezia yeasts with regard to various skin diseases such as Malassezia folliculitis, seborrheic dermatitis, and atopic dermatitis.ObjectiveThis research was conducted to ...
Human subjects term indicating a classification of research subjects into women and men. In some cases, gender cannot be accurately determined, e.g., for pooled blood samples. The classification of research subjects into women and men. In some cases, gender cannot be accurately determined (e.g., pooled blood ...
... 11. TITLE (Include Security Classification) Molecular Biology of the Photoregulation of Photosynthetic Light - Harvesting Complexes in Marine ...
... 11 TITLE (Include Security Classification) Cellular and Molecular Mechanisms of High Pressure Inotropy in Cardiac Muscle 12. ...
The ongoing characterization of the genetic and epigenetic alterations in the gliomas has already improved the classification of these heterogeneous tumors and enabled the development of rodent models for analysis of the molecular pathways underlying their proliferative and invasive behavior. Effective application of the targeted therapies that are now in ...
The touchstone to evaluate accurately the aggressiveness and invasiveness of prostate cancer is something of a holy grail in the facet of urologic oncology. Gene expression and sequencing studies have improved our interpretations of the genetic determinants of the disease but are unsuccessful in the establishment of any unified classification to improve ...
... individual classifiers forming the ensembles. Furthermore, some studies have shown that an ensemble could be as accurate ...
... at the same position but at different elevations. ... used for accurate Digital Elevation Model (DEM ... 24]) for unsupervised classification, distributed target ...
The practice of classifying organisms into hierarchical groups originated with Aristotle and was codified into nearly immutable biological law by Linnaeus. The heart of taxonomy is the biological species, which forms the foundation for higher levels of classification. Whereas species have long been established among sexual eukaryotes, achieving a meaningful species concept for ...
Characterizing and classifying molecular variation within biological samples is critical for determining fundamental mechanisms of biological processes that will lead to new insights including improved disease understanding. Towards these ends, time-of-flight secondary ion mass spectrometry (ToF-SIMS) was used to examine increasingly complex samples of biological relevance, ...
DOE Information Bridge
This Commentary discusses a multi-gene expression assay for predicting metastasis in uveal melanoma.
Page 1. UNCLASSIFIED , MASTER COPY - FOR REPRODUCTION PURPOSES SECURITY CLASSIFICATION OF THIS PAGE ...
... X)() complexes are assigned using a molecular orbital level classification. Descriptors : *ORGANOMETALLIC COMPOUNDS, *GOLD COMPOUNDS ...
Transcription profiling studies reveal important insights in regards to molecular events that manifest in phenotypic outcomes such as response to drug therapy. Construction of computational models that accurately predict therapy response is only possible when precise data measurements, robust feature/gene selection, and advanced computational modeling ...
... Title : Microsatellite Alterations as Molecular Markers in Breast ... lack of early and accurate markers of disease. ... utility of a novel marker, the enzyme ...
Recent years have seen an unprecedented increase in the knowledge and understanding of biochemical disturbances involved on constitutional bone disorders. Recognition of the genetic background as the common cause of these diseases prompted the substitution of the term �constitutional� by �genetic�, in referring to them. Understanding physiopathological bases by finding out the altered ...
The increasing number of laboratories offering molecular genetic analysis of the CFTR gene and the growing use of commercial kits strengthen the need for an update of previous best practice guidelines (published in 2000). The importance of organizing regional or national laboratory networks, to provide both primary and comprehensive CFTR mutation screening, is stressed. ...
This work has evaluated the potential superiority of a morphomolecular classification based on the combination of clinicopathologic and molecular features of colorectal cancers. A cohort of 126 colorectal carcinomas was investigated by unsupervised hierarchical clustering analysis to combine 13 routinely assessed clinicopathologic features and all five ...
Ketosis-prone diabetes (KPD) is a widespread, emerging, heterogeneous syndrome characterized by patients who present with diabetic ketoacidosis or unprovoked ketosis but do not necessarily have the typical phenotype of autoimmune type 1 diabetes. Multiple, severe forms of ?-cell dysfunction appear to underlie the pathophysiology of KPD. Until recently, the syndrome has lacked an ...
Two approaches for directly computing a molecular heat of formation based on sophisticated ab initio
NASA Technical Reports Server (NTRS)
... Descriptors : *ENERGETIC PROPERTIES, QUANTUM ... MOLECULAR DYNAMICS, CHEMICAL REACTIONS ... THRUST, QUANTUM CHEMISTRY ...
Accurate determination of cancer origin is necessary to guide optimal treatment but remains a diagnostic challenge. Gene expression profiling technologies have aided the classification of tumors and, therefore, could be applied in conjunction with clinicopathologic correlates to improve accuracy. We report an expanded version of the previously described ...
It is attempted to show that the Stieltjes-moment-theory provides a practical and a reasonably accurate method for calculating the widths of molecular resonances. The method seems to possess a number of advantages for molecular applications, since it avoi...
Classically, the accessory nerve is described as having a cranial and a spinal root. Textbooks are inconsistent with regard to the modality of the spinal root of the accessory nerve. Some authors report the spinal root as general somatic efferent (GSE), while others list a special visceral efferent (SVE) modality. We investigated the comparative, anatomical, embryological, and ...
A new characterization of known drug, lead, and representative nondrug databases was performed taking into account several properties at the atomic and molecular levels. This characterization included atom type preferences, intrinsic structural diversity (Atom Type Diversity, ATD), and other well-known physicochemical properties, as an approach for rapid assessment of ...
A novel QSAR workflow is constructed that combines MLR with LS-SVM classification techniques for the identification of quinazolinone analogs as "active" or "non-active" CXCR3 antagonists. The accuracy of the LS-SVM classification technique for the training set and test was 100% and 90%, respectively. For the "active" analogs a validated MLR QSAR model ...
Monoclonal antibodies are an important resource for defining molecular expression and probing molecular function. The characterization of monoclonal antibody reactivity patterns, however, can be costly and inefficient in nonhuman experimental systems. To develop a computational approach to the pattern analysis of monoclonal antibody reactivity, we analyzed ...
Three exciting new methods that address the accurate prediction of processes and properties of large molecular systems are discussed. The systematic fragmentation method (SFM) and the fragment molecular orbital (FMO) method both decompose a large molecula...
Soft tissue sarcomas are rare malignant tumors arising from soft tissues of mesenchymal origin. These tumors can develop from any site in the body, including the extremities, trunk, retroperitoneum, and the head and neck. Factors such as histologic subtype and grade, as well as patient age, tumor size, location and clinical stage, determine the specific approach to management and patient outcome. ...
A comprehensive phylogenetic classification of the Fungi is proposed, with reference to recent molecular phylogenetic analyses, and with input from members of the fungal taxonomic community. The classification includes 196 taxa, down to the level of order, of which 23 are described or are validated ...
Technology Transfer Automated Retrieval System (TEKTRAN)
Skip to Content Funded Research Main CDP Grants Director�s Challenge: Toward a molecular classification of cancer Last Updated: 03/05/10 Greg J. Riggins, Duke University Medical Center �A Molecular Classification of Brain Tumors� Abstract: There is
Skip to Content Funded Research Main CDP Grants Director�s Challenge: Toward a molecular classification of cancer Last Updated: 03/05/10 Steven W. Johnson, University of Pennsylvania �Molecular Classification of Ovarian Tumors� Abstract: Ovarian cancer
Skip to Content Funded Research Main CDP Grants Director�s Challenge: Toward a molecular classification of cancer Last Updated: 03/05/10 Samir M. Hanash, The University of Michigan Medical Center �Toward a Molecular Classification of Tumors� Abstract:
Skip to Content Funded Research Main CDP Grants Director�s Challenge: Toward a molecular classification of cancer Last Updated: 03/05/10 Leonard H. Augenlicht, Montefiore Medical Center �Molecular Classification of Colon Tumors� Abstract: The Albert
Skip to Content Funded Research Main CDP Grants Director�s Challenge: Toward a molecular classification of cancer Last Updated: 03/05/10 Ching C. Lau, Baylor College of Medicine �Molecular Classification of Osteosarcoma� Abstract: Osteosarcoma is the
One key difficulty with text classification learning algorithms is that they require many hand-labeled examples to learn accurately. This dissertation demonstrates that supervised learning algorithms that use a small number of labeled examples and many in...
robust signature set possible. Combine your training sites to create the weighted training site for each the unsupervised classification method, the software was instructed to create x number of clusters in x iterations that a accurate and complete set of class definitions are created. These classes are typically created
E-print Network
... risk assessment. Land cover classification of ASTER and Hyperion images is performed in a detailed nomenclature including ... accuracy of 85% for ASTER and 93% for Hyperion classification. Although Hyperi...
Accurate exposure classification tools are required to link exposure with health effects in epidemiological studies. Long-term, time-integrated exposure measures would be desirable to address the problem of developing appropriate residential childhood exposure classifications. ...
Accurate classification of diseases is imperative to the needs of physicians, researchers, vital statistics offices, hospitals, etc. It was felt that a review of coding rules that were not clearly defined in the ICD-9 was required in order to evaluate the...
Recent advances in sparse modeling and dictionary learning for discriminative applications show high potential for numerous classification tasks. In this paper, we show that highly accurate material classification from hyperspectral imagery (HSI) can be o...
A need exists in both the civilian and military communities for an automated seafloor classification system that can remotely and accurately estimate and map sediment properties for a number of seafloor engineering applications and for input to acoustic p...
A data fusion system with artificial neural networks (ANN) is used for fast and accurate classification of five earth surface conditions and surface changes, based on seven SSMI multichannel microwave satellite measurements. The measurements include brigh...
Early detection of breast cancer depends on the accurate classification of microcalcifications. We have developed a computer vision system that can classify microcalcifications objectively and consistently to aid radiologists in the diagnosis of breast ca...
... flexible classification functions also were the most accurate: neural networks (overall classification accuracy = 0.94) and mixture discriminant ... 2010Keywords: acoustic identification, Anabat, discrimi...
rr : contribution due to molecular (Rayleigh) scattering, which can be accurately modeled. MODIS requires accurate measurement of change in its mirror ...
NASA Website
of linear molecules, at least approximately. Accurate a priori calculation of relaxation times requires an accurate knowledge of the molecular phrenology, ...
This database is intended to provide information on the classification of all living reptiles by listing all species and their pertinent higher taxa. ... ...
Determination of atmospheric and surface elemental and molecular composition of various solar system
... N63375 11 -"TLE (include Security Classification) Multi-user Facilities for Molecular Marine Biology and Biotechnology 12 ...
... S1I TITLE (!nclude Securty Classification) Molecular Modelitig Studies of Cholic Acid Host: Shape and Dimensions 12. ... Shape And Dimensions by ...
... 11. TITLE (Include Security Classification) Molecular Biology of Archaebacteria i2 PERSONAL AUTHOR(S) Patrick P. Dennis 13a. ...
... Classification) U Central Equipment Facility for Molecular Marine Biology 12 PERSONAL AUTHOR(S) Haygood, Margo G. 13a. ...
The main goals of this research program were to develop a theoretical framework and experimental protocols for the accurate analysis of macromolecular structures in bituminous coals and for the determination of important thermodynamic and macromolecular parameters which could assist in the classification of coal samples according to their swelling and ...
The central idea of supervised classification in chemoinformatics is to design a classifying algorithm that accurately assigns a new molecule to one of a set of predefined classes. Tipping has devised a classifying scheme, the Relevance Vector Machine (RVM), which is in terms of sparsity equivalent to the Support Vector Machine (SVM). However, unlike SVM ...
BackgroundIndependently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles from publicly available microarray datasets of cancer (breast, lymphoma and renal) samples linked to clinical information with an iterative machine learning algorithm. ROC curves were used to assess the prediction error of ...
... composition, a 350-tree plot is needed. Short-column chromatographic analysis is acceptably accurate for rapid classification of ... ...
Key to Venice Inlet. One purpose of the USGS National Assessment of Coastal Change Project is to provide accurate representations of pre-storm ground ...
of mesothelioma and his predictions of the increasing incidence of this condition. This research has contributed has produced what turned out to be accurate forecasts of the incidence of mesothelioma in Britain
by means of time or frequency domain PSOLA (see e.g. [3]). A prerequisite is again an accurate estimate
... stated in the abstract, Light Detection and Ranging (LIDAR) data were used in this study "to compare ... heights, they could be accurately detected by using LIDAR classification in the wetlands where the ...
...classification of the employee; (ii) The date of the audiogram; (iii) The examiner's name; (iv) The date of the last acoustic or exhaustive calibration of the audiometer; (v) Accurate records of the measurements of the background sound...
Code of Federal Regulations, 2010
PurposeOcular infections caused by fungal organisms can cause significant ocular morbidity, particularly when diagnosis and treatment are delayed. Rapid and accurate identification of Fusarium species at the subgenus level using current diagnostic standards is timely and insensitive. The purpose of this study is to examine the usefulness of polymerase chain reaction (PCR) ...
Molecular stratification of disease based on expression levels of sets of genes can help guide therapeutic decisions if such classifications can be shown to be stable against variations in sample source and data perturbation. Classifications inferred from one set of samples in one lab should be able to consistently stratify a different ...
The diagnostic classification of small round blue cell tumors of the sinonasal area to include diverse malignancies of epithelial, hematolymphoid, neuroectodermal, and mesenchymal origin is challenging to the surgical pathologist using conventional histopathologic approaches because the cytomorphologic features are often overlapping or indistinctive. Rare or occasional ...
Dendritic cells (DCs) constitute a heterogeneous group of antigen-presenting leukocytes important in activation of both innate and adaptive immunity. We studied the gene expression patterns of DCs incubated with reagents inducing their activation or inhibition. Total RNA was isolated from DCs and gene expression profiling was performed with oligonucleotide microarrays. Using a supervised learning ...
To date classification and differentiation of Alaria spp. are based largely on external characteristics and comparative morphology of adult flukes. The accurate differentiation between various Alaria spp. mesocercariae is indeed difficult because there are only few data on morphological and morphometrical features of the parasite's developmental stages. We ...
Increasing knowledge of the molecular basis of embryonic development has improved our understanding of congenital limb malformations. The most popular current surgical classification of congenital limb anomalies is the Swanson/IFSSH classification. This is based on morphology (appearance). Such a classification is ...
In this study we used a Random Forest-based approach for an assignment of small guanosine triphosphate proteins (GTPases) to specific subgroups. Small GTPases represent an important functional group of proteins that serve as molecular switches in a wide range of fundamental cellular processes, including intracellular transport, movement and signaling events. These proteins ...
Accurate classification systems based on evolution are imperative for biological investigations. The recent explosion of molecular phylogenetics has resulted in a much improved classification of angiosperms. More than five phylogenetic lineages have been recognized from Scrophulariaceae sensu lato since the family ...
The enormous amount of biomolecule measurement data generated from high-throughput technologies has brought an increased need for computational tools in biological analyses. Such tools can enhance our understanding of human health and genetic diseases, such as cancer, by accurately classifying phenotypes, detecting the presence of disease, discriminating among cancer ...
Orolingual tremors include tremors of the jaw, tongue, pharynx, and face. There is currently no accepted classification scheme for such tremors. A proper classification scheme for orolingual tremors should aid in providing more accurate diagnoses and permit future research studies assessing important aspects such as pathogenesis or ...
In this paper, an algorithm is developed for segmenting document images into four classes: background, photograph, text, and graph. Features used for classification are based on the distribution patterns of wavelet coefficients in high frequency bands. Two important attributes of the algorithm are its multiscale nature-it classifies an image at different resolutions ...
In this study, the potential of high performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (HPLC-QTOFMS) for metabolomic profiling of red wine samples was examined. Fifty one wines representing three varieties (Cabernet Sauvignon, Merlot, and Pinot Noir) of various geographical origins were sourced from the European and US retail market. To find compounds ...
We present a camera-based method for automatically quantifying the individual and social behaviors of fruit flies, Drosophila melanogaster, interacting in a planar arena. Our system includes machine-vision algorithms that accurately track many individuals without swapping identities and classification algorithms that detect behaviors. The data may be ...
We present a camera-based method for automatically quantifying the individual and social behaviors of fruit flies, Drosophila melanogaster, interacting within a planar arena. Our system includes machine vision algorithms that accurately track many individuals without swapping identities and classification algorithms that detect behaviors. The data may be ...
The underlying objective of this work is to develop molecular models that accurately describe the polymer-carbon black composite films used in the ENose ...
AimSpectral Cytopathology (SCP) is a novel spectroscopic method for objective and unsupervised classification of individual exfoliated cells. The limitations of conventional cytopathology are well-recognized within the pathology community. In SCP, cellular differentiation is made by observing molecular changes in the nucleus and the cytoplasm, which may or ...
A comprehensive literature search was conducted to obtain the most accurate values for the molecular and the spectral parameters, including Franck-Cordon ...
... outcome. Proper interpretation of genetic testing results requires correlation with accurate clinical information. Inappropriate interpretation can result ...
MedlinePLUS
... relaxation times in molecular crystals. ... are certainly the most accurate crystal absorption spectra ... of the electronic structure of very large molecules.
... systems of three and four ion pairs, to illustrate the effectiveness of the FMO method in accurately describing complex molecular clusters, with the ...
... along with systems of three ion pairs, to illustrate the effectiveness of the FMO method in accurately describing complex molecular clusters, with the ...
The method is based upon molecular line parameters and makes use of a far wing scaling approximation
Hybrid (quantum mechanics/molecular mechanics) theoretical techniques will be discussed that may allow to obtain accurate vibrational spectra of ...
times requires an accurate knowledge of the molecular phrenology, characterized by Pd; such information is not generally available. ...
The heterogeneous and chaotic nature of osteosarcoma has confounded accurate molecular classification, prognosis, and prediction for this tumor. The occurrence of spontaneous osteosarcoma is largely confined to humans and dogs. While the clinical features are remarkably similar in both species, the organization of dogs into defined ...
transducer pulse coded sonar system that performs target localisation in two dimensions and classificationOn-the-fly Classifying Sonar with Accurate Range and Bearing Estimation Lindsay Kleeman Intelligent second. 1 Introduction Sonar classification provides a fast means for determining geometric properties
Motivation: Advances in high-throughput genotyping and next generation sequencing have generated a vast amount of human genetic variation data. Single nucleotide substitutions within protein coding regions are of particular importance owing to their potential to give rise to amino acid substitutions that affect protein structure and function which may ultimately lead to a disease state. Over the ...
Recent progress in molecular computation suggests the possibility of pattern classification in vitro. Weighted sum is a primitive operation required by many pattern classification problems. Here we present a DNA-based molecular computation method for implementing the weighted-sum operation and its use for ...
Classification by Support Vector Machines Florian Markowetz Max-Planck-Institute for Molecular, Classification by SVM, Practical DNA Microarray Analysis 2004 2 #12;Supervised Learning Calvin, I'm still confused about cats and dogs! OK, then I will explain it once more ... Florian Markowetz, Classification by SVM
Classification by Support Vector Machines Florian Markowetz Max-Planck-Institute for Molecular Large Margin Classifiers II The Kernel Trick III R package: e1071 Florian Markowetz, Classification} Diagnosis = fX (new patient) Florian Markowetz, Classification by SVM, Practical DNA Microarray Analysis
It is hard to accurately identify specific species of the Lactobacillus casei group using phenotypic techniques alone. Some strains of this species group are considered to be probiotic and are widely applied in the food industry. In this study, we compared the use of two phylogenetic markers, the 16S rRNA and dnaK genes, for species discrimination of the members of the L. ...
Morbillivirus infection of marine mammals has been documented across all of the world's oceans. Whilst infection is generally demonstrated using a variety of histopathological and serological techniques, where possible, the use of molecular techniques is being used to enable accurate genetic typing of virus strains through sequence analysis. Here, we ...
Piroplasmosis was first described in raccoons (Procyon lotor) in 1926, and the official description of a small piroplasm as Babesia lotori was done in 1981. Babesia microti-like gene sequences have been characterized in raccoons in both North American and Japan. It is well documented that the microscopic appearance of piroplasms does not always accurately predict the genotype ...
The distribution and ecosystem risk of 16 polycyclic aromatic hydrocarbons (PAHs) in the Luan River, China, has been investigated. summation operatorPAHs levels ranged from 37.3 to 234 ng L(-1) in water, from 20.9 to 287 ng g(-1) in sediment and from 36.9 to 378 ng g(-1) in bank soil, respectively. A method based on toxic equivalency factors (TEFs) and risk quotient (RQ) which can be used to ...
Classification skills, so foundational to science, must be taught. While children have a passion and drive to organize and categorize their experiences, sometimes the way they organize them doesn't lead to a worthwhile or accurate scientific understanding. Just as putting a pencil in the hands of a child doesn't automatically teach them to write, having a ...
a large number of rules efficiently for classifica- tion. Many studies [1, 5] have indicated the inherent that CMAR in general has higher prediction accuracy than CBA [9] and C4.5 [10]. Second, to improve both. In this section, we develop methods to generate rules for classification. The second phase, classification
Incorporation of evidence from clinical research requires critical appraisal of its quality. Information retrieval systems can facilitate clinicians' judgments by automatically labeling retrieved citations with their strength of evidence categories. Preliminary results of such a text classification experiment involving MEDLINE citations show that a "bag of words" approach is ...
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify text need sufficient documents to learn accurately. This paper presents a new algorithm for text classification that requires fewer documents for training. ...
Structural indices such as n (carbon number), z (hydrogen deficiency C{sub n}H{sub 2n+z}) and i (isomeric deviation from the normal compound) are defined to characterize the molecular structure in an unambiguous manner. The parameters are defined in a manner that results in complete orthogonality, one with any of the others. Classification of hydrocarbon ...
Identification and tracking of dendritic spine morphology from two-dimensional time-lapsed images plays an important role in neurobiological research. Such analysis can enable us to derive a correlation between morphological characteristics and molecular mechanism of dendritic spine development and remodelling. Moreover, Neuronal morphology of hippocampal Cornu Ammonis 1 ...
