scholarly journals Automated Assignment of Proteoform Classification Levels

2021 ◽  
Author(s):  
Zach Rolfs ◽  
Lloyd M. Smith
Keyword(s):  
Classification System ◽  
Biological Diversity ◽  
Automated Assignment ◽  
Sufficient Information ◽  
Top Down ◽  
Small Test ◽  
Software Platforms ◽  
Search Program ◽  
Test File

Proteoform identification is required to fully understand the biological diversity present in a sample. However, these identifications are often ambiguous because of the challenges in analyzing full length proteins by mass spectrometry. A five-level proteoform classification system was recently developed to delineate the ambiguity of proteoform identifications and to allow for comparisons across software platforms and acquisition methods. Widespread adoption of this system requires software tools to provide classification of the proteoform identifications. We describe here implementation of the five-level classification system in the software program MetaMorpheus, which provides both bottom-up and top-down identifications. Additionally, we developed a stand-alone program called ProteoformClassifier that allows users to classify proteoform results from any search program, provided that the program writes output that includes the information necessary to evaluate proteoform ambiguity. This stand-alone program includes a small test file and database to evaluate if a given program provides sufficient information to evaluate ambiguity. If the program does not, then ProteoformClassifier provides meaningful feedback to assist developers with implementing the classification system. We tested currently available top-down software programs and found that none of them other than MetaMorpheus provided sufficient information regarding identification ambiguity to permit classification.

System for Cross-Classification of Small Group Studies

1968 ◽  
Vol 23 (3_suppl) ◽  
pp. 1295-1304
Author(s):  
Richard Heslin ◽  
Dexter Dunphy
Keyword(s):  
Small Group ◽  
Classification System ◽  
Sufficient Information ◽  
Coding System ◽  
Similar System ◽  
Cross Classification

The article describes a method for placing information into a classification system that maximizes the flexibility in retrieval at a later time. It uses (1) a stack of edge-punched cards containing information of interest that has been punched according to (2) a coding system developed by the users. The authors have developed a classification system for the small-group field which is depicted and described in detail. It allows for coding a study on about 50 dimensions to (1) locate an article, (2) give an over-all description of the article, and (3) indicate the variables measured or discussed. Examples of uses and discussion of special features are provided to give the reader sufficient information to establish and use the system or a similar system for his own purposes.

scholarly journals UV Spectral Classification of B Stars

1985 ◽  
Vol 111 ◽  
pp. 411-413
Author(s):  
Janet Rountree ◽  
George Sonneborn ◽  
Robert J. Panek
Keyword(s):  
Classification System ◽  
Classification Criteria ◽  
High Dispersion ◽  
Spectral Classification ◽  
Early Type ◽  
B Stars ◽  
Dimensional Classification ◽  
Early Type Stars ◽  
Comprehensive Classification

Previous studies of ultraviolet spectral classification have been insufficient to establish a comprehensive classification system for ultraviolet spectra of early-type stars because of inadequate spectral resolution. We have initiated a new study of ultraviolet spectral classification of B stars using high-dispersion IUE archival data. High-dispersion SWP spectra of MK standards and other B stars are retrieved from the IUE archives and numerically degraded to a uniform resolution of 0.25 or 0.50 Å. The spectra (in the form of plots or photowrites) are then visually examined with the aim of setting up a two-dimensional classification matrix. We follow the method used to create the MK classification system for visual spectra. The purpose of this work is to examine the applicability of the MK system (and in particular, the set of standard stars) in the ultraviolet, and to establish classification criteria in this spectral region.

Etiologic Classification of TIA and Minor Stroke by A-S-C-O and Causative Classification System as Compared to TOAST Reduces the Proportion of Patients Categorized as Cause Undetermined

2014 ◽  
Vol 38 (2) ◽  
pp. 121-126 ◽  
Author(s):  
Jamsheed A. Desai ◽  
Ahmad R. Abuzinadah ◽  
Oje Imoukhuede ◽  
Manya L. Bernbaum ◽  
Jayesh Modi ◽  
...  
Keyword(s):  
Classification System ◽  
Minor Stroke

Introduction of a new AAC symbol classification system: the multidimensional quaternary symbol continuum (MQSC)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eliada Pampoulou ◽  
Donald R. Fuller
Keyword(s):  
Peer Review ◽  
Classification System ◽  
Augmentative And Alternative Communication ◽  
Social Issues ◽  
Content Type ◽  
Design Attributes ◽  
Wide Range ◽  
Current Classification ◽  
Symbol Classification

PurposeWhen the augmentative and alternative communication (ACC) model (Lloyd et al., 1990) was proposed, these components of symbols were not considered, nor were they contemplated when superordinate (Lloyd and Fuller, 1986) and subordinate levels (Fuller et al., 1992) of AAC symbol taxonomy were developed. The purpose of this paper is to revisit the ACC model and propose a new symbol classification system called multidimensional quaternary symbol continuum (MQSC)Design/methodology/approachThe field of AAC is evolving at a rapid rate in terms of its clinical, social, research and theoretical underpinnings. Advances in assessment and intervention methods, technology and social issues are all responsible to some degree for the significant changes that have occurred in the field of AAC over the last 30 years. For example, the number of aided symbol collections has increased almost exponentially over the past couple of decades. The proliferation of such a large variety of symbol collections represents a wide range of design attributes, physical attributes and linguistic characteristics for aided symbols and design attributes and linguistic characteristics for unaided symbols.FindingsTherefore, it may be time to revisit the AAC model and more specifically, one of its transmission processes referred to as the means to represent.Originality/valueThe focus of this theoretical paper then, is on the current classification of symbols, issues with respect to the current classification of symbols in terms of ambiguity of terminology and the evolution of symbols, and a proposal for a new means of classifying the means to represent.Peer reviewThe peer review history for this article is available at: https://publons.com/publon10.1108/JET-04-2021-0024

P–331 The #Enzian classification: A comprehensive non-invasive and surgical description system for endometriosis

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
J Keckstein ◽  
H Gernot
Keyword(s):  
Classification System ◽  
Working Group ◽  
Complex Disease ◽  
Diagnostic Methods ◽  
Anatomical Location ◽  
Ovarian Endometriosis ◽  
Deep Endometriosis ◽  
Non Invasive ◽  
Complete Mapping

Abstract Study question Is there a classification for a complete mapping of endometriosis, including anatomical location, size of the lesions, and degree of involvement that can be used with both, diagnostics and surgery? Summary answer #Enzian classification improves in both, non-invasive diagnostic methods and surgical therapy for endometriosis as a universally usable classification system for all aspects of the disease. What is known already The most commonly used r-ASRM classification has certain limitations due to its incomplete description of DE, the complexity of the classification, and lack of reproducibility. In contrast, the Enzian classification, which has been implemented in the last decade, has proved to be the most suitable for the description of DE. However, since it does not include peritoneal and ovarian lesions and lacks a description of tubo-ovarian adhesions, it has not gained full acceptance. A combination of classification with different systems such as r-ASRM, EFI score and Enzian, may complicate classification of the disease due to overlaps and time-consuming documentation. Study design, size, duration The result is a consensus of a panel of renowned clinicians (working group), gynaecological surgeons and sonographers with extensive expertise in diagnosis and therapy of endometriosis. A first draft was written in 2019 by a joint effort of the first and last author and sent to all working group members. Taking all comments into account, a revised draft was then sent to all coauthors and repeated until a consensus was reached (9 revisions). Participants/materials, setting, methods Criteria used to invite the experts to participate in this consensus process included their having significant peer-reviewed publications in the field of diagnosis and management of endometriosis. Main results and the role of chance Our current proposal is the first of its kind to universally describe superficial and deep endometriosis, ovarian endometriosis, adenomyosis and adhesions by using a classification system that can be applied by gynaecologists, surgeons, sonographers and radiologists following the same principles. The correlation between preoperative and surgical staging, on the basis of the Enzian scheme, allows for consistent and clear classification of endometriosis, especially DE. Endometriosis can be mapped completely with one single classification system enabling the use of one common language. Limitations, reasons for caution This classification system is anatomically logical and should be easy to use. Further studies are ongoing and are needed to provide proof for the applicability, reproducibility and accuracy of the #Enzian classification for the description of endometriosis. Wider implications of the findings: #Enzian classification now enabled better coverage of various endometriosis localizations. The possibility of using this system preoperatively as well as postoperatively within the framework of diagnostics offers clinicians a significant improvement in the care of patients with such a complex disease. Trial registration number Not applicable

Estimation of streams order according to strahler classification system using GIS. Case study: streams of the Republic of Moldova

2019 ◽  
Author(s):  
Ana Jeleapov ◽  
Keyword(s):  
Water Resources ◽  
Classification System ◽  
River Basins ◽  
Drainage Density ◽  
Drainage Network ◽  
Republic Of Moldova ◽  
Rivers And Streams ◽  
The Republic

The paper contains the results of classification of rivers and streams of the Republic of Moldova according to classic Strahler method. Mentioned method was applied to estimate the hierarchical rank of the stream segments situated in 50 pilot basins using modern GIS techniques and drainage network of the GIS for Water Resources of Moldova. It was estimated that the maximal order of segments is 7 specific for the Raut and Ialpug rivers. Overall, length of 1st order streams forms 50%, while that of 7th order streams - < 1%. Additionally, stream number and frequency as well as drainage density were calculated for pilot river basins.

Etiological Classification of Stroke in Patients with Chagas Disease Using TOAST, Causative Classification System TOAST, and ASCOD Phenotyping

2017 ◽  
Vol 26 (12) ◽  
pp. 2864-2869 ◽  
Author(s):  
Rodrigo de Paiva Bezerra ◽  
Maramélia Araújo de Miranda Alves ◽  
Adriana Bastos Conforto ◽  
Daniela Laranja Gomes Rodrigues ◽  
Gisele Sampaio Silva
Keyword(s):  
Chagas Disease ◽  
Classification System

scholarly journals Performance of Cans Classification System for Different Conveyor Belt Speed using Naïve Bayes

2020 ◽  
Vol 5 (4) ◽  
pp. 111
Author(s):  
Yulia Resti ◽  
Firmansyah Burlian ◽  
Irsyadi Yani
Keyword(s):  
Classification System ◽  
Naive Bayes ◽  
Conveyor Belt ◽  
Original Model ◽  
Model Based ◽  
Accuracy Level ◽  
Conveyor Belts ◽  
Sorting Process ◽  
Input Variables

The classification system in the sorting process in the can recycling industry can be made based on digital images by exploring the basic color pixel values ​​of images such as R, G, and B as variable inputs. In real time, the classification of cans in the sorting process occurs when cans placed on a conveyor belt move at a certain speed. This paper discusses the performance of can classification systems using the Naïve Bayes method. This method can handle all types of variables, including when all variables are continuous. Two types of conveyor belts are designed to get different speeds, and all images of the cans are captured on both conveyor belts. Two models of Bayes naive are built on the basis of the different distribution assumptions; the original model (all Gaussian distributed) and the model based on the best distribution. Performance of the classification system is built by dividing data into the learning data and the testing data with a composition of 50:50 in which each data is designed into 50 groups with different percentages on each type of cans using sampling technique without replacement. The results obtained are, first, the speed of the conveyor belt when capturing an image affects the pixel values of red, green, and blue and ultimately affects the results of the classification of cans. Second, not all input variables are Gaussian distributed. The classification system was built using assumption the best distribution model for each input variable has the better average accuracy level than the model that assumes all input variables are Gaussian distributed, and the accuracy level of classification on the first speeds of conveyor belt with a gear ratio of 12:30 and a diameter of 35 mm has an accuracy that is better than the other speed, both on the original model and the model based on the best distribution. However, it is necessary to test more statistical distribution models to obtain significant results.

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