scholarly journals The Classification of T Dwarfs

2003 ◽  
Vol 211 ◽  
pp. 377-384 ◽  
Author(s):  
Adam J. Burgasser ◽  
Thomas R. Geballe ◽  
David A. Golimowski ◽  
Sandy K. Leggett ◽  
J. Davy Kirkpatrick ◽  
...  
Keyword(s):  
Classification Scheme ◽  
Brown Dwarfs ◽  
Classification Schemes ◽  
Spectral Class ◽  
Definition Of ◽  
Joint Classification ◽  
Future Work

The discovery of many cool brown dwarfs similar to Gliese 229B has led to the definition of a new spectral class, the T dwarfs, whose 1–2.5 μm spectra exhibit signatures of CH4 absorption. Two classification schemes have been proposed for these objects by Burgasser et al. and Geballe et al. We discuss and compare these schemes, and describe a joint classification scheme currently in development that closely follows the guidelines of the MK process. We also address future work toward establishing gravity classes, classifying at other wavelengths, and identifying those features that may signify the end of the T spectral class.

scholarly journals The Banff Working Group Classification of Definitive Polyomavirus Nephropathy: Morphologic Definitions and Clinical Correlations

2017 ◽  
Vol 29 (2) ◽  
pp. 680-693 ◽  
Author(s):  
Volker Nickeleit ◽  
Harsharan K. Singh ◽  
Parmjeet Randhawa ◽  
Cinthia B. Drachenberg ◽  
Ramneesh Bhatnagar ◽  
...  
Keyword(s):  
Repeated Measures ◽  
Working Group ◽  
Classification Scheme ◽  
Clinical Presentation ◽  
Interstitial Fibrosis ◽  
The United States ◽  
Systematic Analysis ◽  
Definition Of ◽  
Morphologic Classification

Polyomavirus nephropathy (PVN) is a common viral infection of renal allografts, with biopsy-proven incidence of approximately 5%. A generally accepted morphologic classification of definitive PVN that groups histologic changes, reflects clinical presentation, and facilitates comparative outcome analyses is lacking. Here, we report a morphologic classification scheme for definitive PVN from the Banff Working Group on Polyomavirus Nephropathy, comprising nine transplant centers in the United States and Europe. This study represents the largest systematic analysis of definitive PVN undertaken thus far. In a retrospective fashion, clinical data were collected from 192 patients and correlated with morphologic findings from index biopsies at the time of initial PVN diagnosis. Histologic features were centrally scored according to Banff guidelines, including additional semiquantitative histologic assessment of intrarenal polyomavirus replication/load levels. In-depth statistical analyses, including mixed effects repeated measures models and logistic regression, revealed two independent histologic variables to be most significantly associated with clinical presentation: intrarenal polyomavirus load levels and Banff interstitial fibrosis ci scores. These two statistically determined histologic variables formed the basis for the definition of three PVN classes that correlated strongest with three clinical parameters: presentation at time of index biopsy, serum creatinine levels/renal function over 24 months of follow-up, and graft failure. The PVN classes 1–3 as described here can easily be recognized in routine renal biopsy specimens. We recommend using this morphologic PVN classification scheme for diagnostic communication, especially at the time of index diagnosis, and in scientific studies to improve comparative data analysis.

scholarly journals Quantitative spectral classification of late WC stars

1997 ◽  
Vol 180 ◽  
pp. 19-19
Author(s):  
Orsola de Marco ◽  
P. A. Crowther ◽  
M. J. Barlow
Keyword(s):  
Classification Scheme ◽  
Natural Extension ◽  
Optical Observations ◽  
Spectral Classification ◽  
High Quality ◽  
Definition Of

We present a revised classification scheme for late WC-type stars based on new high quality optical observations of seven stars. For consistency with the usual WC scheme (Smith, ApJ 358 229 1990), our principal diagnostic is Cvi λ5801/Ciii λ5696, while Ciii λ5696/Cii λ4267, and He II λ4686/He I λ5876 serve as secondary criteria. Our quantitative scheme forms an natural extension to the existing WC scheme and provides an unambiguous definition of subtypes, with natural breaks found between subclasses.

Kambin’s triangle: definition and new classification schema

2020 ◽  
Vol 32 (3) ◽  
pp. 390-398 ◽  
Author(s):  
Andrew A. Fanous ◽  
Luis M. Tumialán ◽  
Michael Y. Wang
Keyword(s):  
Classification Scheme ◽  
New Classification ◽  
Disc Space ◽  
Anatomical Structures ◽  
Articular Process ◽  
3D Space ◽  
Uniform Definition ◽  
Original Report ◽  
Definition Of

Kambin’s triangle is an anatomical corridor used to access critical structures in a variety of spinal procedures. It is considered a safe space because it is devoid of vascular and neural structures of importance. Nonetheless, there is currently significant variation in the literature regarding the exact dimensions and anatomical borders of Kambin’s triangle. This confusion was originally caused by leaving the superior articular process (SAP) unassigned in the description of the working triangle, despite Kambin identifying that structure in his original report. The SAP is the most relevant structure to consider when accessing the transforaminal corridor. Leaving the SAP unassigned has led to an open-handed application of the term “Kambin’s triangle.” That single eponym currently has two potential meanings, one meaning for endoscopic surgeons working through a corridor in the intact spine and a second meaning for surgeons accessing the disc space after a complete or partial facetectomy. Nevertheless, an anatomical corridor should have one consistent definition to clearly communicate techniques and use of instrumentation performed through that space. As such, the authors propose a new surgically relevant classification of this corridor. Assigning the SAP a border requires adding another dimension to the triangle, thereby transforming it into a prism. The term “Kambin’s prism” indicates the assignment of a border to all relevant anatomical structures, allowing for a uniform definition of the 3D space. From there, the classification scheme considers the expansion of the corridor and the extent of bone removal, with a particular focus on the SAP.

Modeling a Classification Scheme of Epileptic Seizures Using Ontology Web Language

2012 ◽  
pp. 44-59
Author(s):  
Bhaswati Ghosh ◽  
Partha S. Ghosh ◽  
Iftikhar U. Sikder
Keyword(s):  
Classification Scheme ◽  
Epileptic Seizures ◽  
Disease Classification ◽  
Rule Engine ◽  
Classification Schemes ◽  
Neurological Condition ◽  
New Knowledge ◽  
Java Platform ◽  
Complex Knowledge

Ontology-based disease classification offers a way to rigorously assign disease types and to reuse diagnostic knowledge. However, ontology itself is not sufficient for fully representing the complex knowledge needed in classification schemes which are continuously evolving. This article describes the application of SWRL/OWL-DL to the representation of knowledge intended for proper classification of a complex neurological condition, namely epilepsy. The authors present a rigorous and expandable approach to the ontological classification of epileptic seizures based on the 1981ILAE classification. It provides a classification knowledge base that can be extended with rules that describe constraints in SWRL. Moreover, by transforming an OWL classification scheme into JESS (rule engine in Java platform) facts and by transforming SWRL constraints into JESS, logical inferences and reasoning provide a mechanism to discover new knowledge and facts. The logic representation of epileptic classification amounts to greater community understanding among practitioners, knowledge reuse and interoperability.

Electronic games classification in the library of congress and Dewey classification schemes: a comparative study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nahed Salem ◽  
Ahmed Maher Khafaga Shehata
Keyword(s):  
Design Methodology ◽  
Classification Scheme ◽  
Library Of Congress ◽  
Content Type ◽  
Classification Schemes ◽  
The Subject ◽  
The Difference ◽  
Electronic Games ◽  
Decimal Classification

Purpose The study aims to explore the classification of electronic games in Dewey decimal classification (DDC) and The Library of Congress classification (LCC) schemes. Design/methodology/approach The study adopted a comparative analytical method to explore the topic in both the DDC and the LCC schemes by comparing its processing method in both schemes. The study measures the extent to which both schemes succeed in allocating notations covering the topic’s literature. Findings The study reached several results, the most important of which are: the difference between the two main cognitive sections, to which they belong to the topic, namely, arts and recreation (700) in the DDC scheme and the geography section (G) in the LCC scheme, while they were found to share the same sub-section scheme. The two schemes do not allocate notations to address the subject of electronic games as literature and other notations that have not been embodied for electronic games themselves or in the form of a compact disc or other media. Originality/value As far as we know, this is the first paper that compares the treatment of video games in DDC and Library of Congress classification schemes. The study allows for understanding the difference in the treatment of topics in both schemes, which would help in the decision of the adoption of a particular classification scheme.

Stalking: Classification and Typology

Stalking ◽  
2007 ◽  
Author(s):  
Debra A. Pinals
Keyword(s):  
Law Enforcement ◽  
Mental Health Professionals ◽  
Criminal Behavior ◽  
Psychiatric Symptoms ◽  
Legal Regulation ◽  
Classification Schemes ◽  
Treatment Considerations ◽  
Definition Of ◽  
The Given

Stalking, as currently conceptualized, is a complex phenomenon, and individual stalking cases can be quite distinct. Several authors have proposed classification schemes in an effort to discern and understand common themes among cases of stalking. These stalking “typologies” reflect both theoretical considerations and empirical examinations of persons whose behaviors have shaped the definition of stalking. Typologies have been constructed from clinical and law enforcement perspectives. Classification schemes to date have been broadly based on factors such as the motivation of the stalker, psychiatric symptoms among stalkers, the nature of the relationship between the pursuer and the victim, victim characteristics, and harm to the victim. These classifications have been conceptualized to assist with risk assessment, risk management, and treatment considerations in stalking cases. This chapter describes some historical underpinnings of classification categories, compares existing typologies of stalkers, and explicates the typological scheme adopted throughout this book. Over the last 15 years, stalking has become increasingly recognized as a distinctive form of potentially criminal behavior that may come to the attention of mental health professionals. At the same time that the criminal justice system has grappled with defining stalking for legal purposes, clinicians who encounter stalking behavior have attempted to create useful classifications of stalking behaviors. Attempts have also been made to develop taxonomies of stalking types that might guide law enforcement professionals. Taxonomic classifications are common in science and, when they are successful, they help us organize and identify unique aspects of information and refine our understanding of the given phenomenon under study. Setting up a system of classification of stalking, a behavior that is difficult to define and codify, has several advantages. Once established, a useful taxonomy of stalkers could improve communication among professionals and could help them better appreciate aspects of stalking, including the natural course of the behavior and prognosis of particular stalkers. In addition, taxonomic categorization can facilitate case comparisons and improve clinicians’ abilities to assess risks, manage risks, and provide treatment. Stalking typologies may also enlighten decisions about social policy and legal regulation related to the phenomenon.

scholarly journals Classification of Tropical Precipitating Systems Using Wind Profiler Spectral Moments. Part I: Algorithm Description and Validation

2008 ◽  
Vol 25 (6) ◽  
pp. 884-897 ◽  
Author(s):  
T. Narayana Rao ◽  
N. V. P. Kirankumar ◽  
B. Radhakrishna ◽  
D. Narayana Rao ◽  
K. Nakamura
Keyword(s):  
Classification Scheme ◽  
Doppler Velocity ◽  
Wind Profiler ◽  
Sufficient Condition ◽  
New Classification ◽  
Spectral Moments ◽  
Classification Schemes ◽  
Surface Rainfall ◽  
Stratiform Precipitation

Abstract The lower atmospheric wind profiler (LAWP) measurements made at Gadanki, India, have been used to develop an objective algorithm to classify the tropical precipitating systems. A detailed investigation on the existing classification scheme reveals major shortcomings in the scheme. In the present study, it is shown with examples that the Doppler velocity gradient (DVG) criterion is a necessary but certainly not a sufficient condition to identify the radar bright band. Such gradients in Doppler velocity can exist in other types of rain systems, for example, in convection, due to the modulation of Doppler velocity of hydrometeors by vertical air motion. The approach of the new classification scheme deviates considerably from that of existing algorithms. For instance, the new algorithm, in contrast to identifying the stratiform rain and assuming the remaining rain as convection, identifies first convection and later stratiform precipitation based on their specific characteristics. The other interesting feature in this algorithm is that it was built on the strengths of other potential classification schemes and theoretically accepted thresholds for classification of the precipitation. The performance of the new algorithm has been verified with the help of time–height maps of profiler moments and corresponding surface rainfall patterns.

scholarly journals A New View of Multisensor Data Fusion: Research on Generalized Fusion

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Guo Chen ◽  
Zhigui Liu ◽  
Guang Yu ◽  
Jianhong Liang
Keyword(s):  
Data Fusion ◽  
Heterogeneous Data ◽  
Fusion Model ◽  
Fusion Algorithm ◽  
Symbolic Computing ◽  
Multisensor Data Fusion ◽  
Definition Of ◽  
Future Work ◽  
Multisensor Data

Multisensor data generalized fusion algorithm is a kind of symbolic computing model with multiple application objects based on sensor generalized integration. It is the theoretical basis of numerical fusion. This paper aims to comprehensively review the generalized fusion algorithms of multisensor data. Firstly, the development and definition of multisensor data fusion are analyzed and the definition of multisensor data generalized fusion is given. Secondly, the classification of multisensor data fusion is discussed, and the generalized integration structure of multisensor and its data acquisition and representation are given, abandoning the research characteristics of object oriented. Then, the principle and architecture of multisensor data fusion are analyzed, and a generalized multisensor data fusion model is presented based on the JDL model. Finally, according to the multisensor data generalized fusion architecture, some related theories and methods are reviewed, and the tensor-based multisensor heterogeneous data generalized fusion algorithm is proposed, and the future work is prospected.

Entrepreneurial Start-up and Growth: A Classification of Problems

1993 ◽  
Vol 17 (3) ◽  
pp. 5-20 ◽  
Author(s):  
David E. Terpstra ◽  
Philip D. Olson
Keyword(s):  
Organizational Development ◽  
Growth Stage ◽  
Classification Scheme ◽  
Initial Response ◽  
First Year ◽  
Classification Schemes ◽  
Response Data ◽  
Mixed Support ◽  
Start Up

The purpose of this study was to develop a classification scheme for the types of problems encountered by emerging organizations using an open-ended approach to generating the Initial response data. The CEOs of 121 Inc. 500 firms were asked to state the most significant problem during their firms’ first year and during a later growth stage. The open-ended responses were systematically sorted Into classes of problems, and the resulting classification schemes appeared to be more comprehensive and exhaustive than some previously developed schemes that relied on closed-ended response categories to develop their problem classes. Once developed, the classification schemes were used to examine the relative frequencies of types of problems at both the start-up and later growth stage. The findings indicated mixed support for previous research linking types of dominant problems to different stages of organizational development.

SAR Target Recognition via Joint Classification of Monogenic Components with Discrimination Analysis

2019 ◽  
Vol 23 (3) ◽  
pp. 414-420
Author(s):  
Zhenyu Zhang ◽  
Keyword(s):  
Classification Scheme ◽  
Target Recognition ◽  
Operating Conditions ◽  
Sar Images ◽  
Stationary Target ◽  
Discrimination Analysis ◽  
Phase Amplitude ◽  
Joint Classification ◽  
Sar Target Recognition

This paper proposes a method using joint classification of monogenic components with discrimination analysis for target recognition in synthetic aperture radar (SAR) images. Three monogenic components, namely, phase, amplitude, and orientation, are extracted from the original image and classified by joint sparse representation for target recognition. Considering that the three components may have different discrimination capabilities for different operating conditions, the discrimination analysis is incorporated into the classification scheme. The components with low discriminability are not used in the joint classification. Afterwards, those discriminative components for a certain condition are classified to determine the target type. Experiments are conducted on the moving and stationary target acquisition and recognition (MSTAR) to evaluate the performance of the proposed method.

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