scholarly journals Agnosticism as settled indecision

2021 ◽  
Author(s):  
Verena Wagner
Keyword(s):  
Mental State ◽  
Component Analysis ◽  
Descriptive Account ◽  
Two Component ◽  
Intuitive View

AbstractIn this paper, I spell out a descriptive account of agnosticism that captures the intuitive view that a subject enters the mental state of agnosticism via an act or event called suspension. I will argue that agnosticism is a complex mental state, and that the formation of an attitude is the relevant act or event by which a subject commits to indecision regarding some matter. I will suggest a ‘two-component analysis’ that addresses two aspects that jointly account for the settled state of agnosticism: (1) the subject’s de facto indecision and (2) the subject’s commitment to her indecision. Unlike meta-cognitivist or sui generis accounts, I do not take the agnostic’s commitment to indecision as constitutive for her indecision but rather as an evaluation or qualification of the indecision that she already exhibits. Agnosticism, thus, is a settled form of indecision that marks the end of inquiry.

scholarly journals Post-hoc principal component analysis on a largely illiterate elderly population from North-west India to identify important elements of mini-mental state examination

2016 ◽  
Vol 7 (01) ◽  
pp. 44-47
Author(s):  
Sunil Kumar Raina ◽  
Vishav Chander ◽  
Sujeet Raina ◽  
Ashoo Grover
Keyword(s):  
Principal Component Analysis ◽  
Mental State ◽  
Elderly Population ◽  
Mini Mental State Examination ◽  
Principal Component ◽  
Component Analysis ◽  
Temporal Orientation ◽  
North West ◽  
Post Hoc ◽  
State Examination

ABSTRACT Background: Mini-mental state examination (MMSE) scale measures cognition using specific elements that can be isolated, defined, and subsequently measured. This study was conducted with the aim to analyze the factorial structure of MMSE in a largely, illiterate, elderly population in India and to reduce the number of variables to a few meaningful and interpretable combinations. Methodology: Principal component analysis (PCA) was performed post-hoc on the data generated by a research project conducted to estimate the prevalence of dementia in four geographically defined habitations in Himachal Pradesh state of India. Results: Questions on orientation and registration account for high percentage of cumulative variance in comparison to other questions. Discussion: The PCA conducted on the data derived from a largely, illiterate population reveals that the most important components to consider for the estimation of cognitive impairment in illiterate Indian population are temporal orientation, spatial orientation, and immediate memory.

scholarly journals Non-uniform Magnetic System Driven by Non-magnetic Ion Substitution in CaRu1−xScxO3: Two-Component Analysis

2015 ◽  
Vol 84 (1) ◽  
pp. 014708 ◽  
Author(s):  
Takafumi D. Yamamoto ◽  
Ryuji Okazaki ◽  
Hiroki Taniguchi ◽  
Ichiro Terasaki
Keyword(s):  
Magnetic System ◽  
Component Analysis ◽  
Two Component ◽  
Ion Substitution ◽  
Magnetic Ion

scholarly journals Incorporating calibrated functional assay data into the BRCA1 Ex-UV database

2016 ◽  
Author(s):  
Bryony A. Thompson ◽  
Russell Bell ◽  
Bryan E. Welm ◽  
John Burn ◽  
Sean V. Tavtigian
Keyword(s):  
Sequence Analysis ◽  
Error Rate ◽  
Quantitative Methods ◽  
Massively Parallel Sequencing ◽  
Component Analysis ◽  
Functional Assay ◽  
Variant Classification ◽  
Data Types ◽  
Two Component ◽  
Uncertain Significance

AbstractDriven by massively parallel sequencing and allied technologies, the scale of genetic predisposition testing is on a dramatic uptrend. While many patients are found to carry clinically actionable pathogenic sequence variants, testing also reveals enormous numbers of Unclassified Variants (UV), or Variants of Uncertain Significance (VUS), most of which are rare missense substitutions. Following IARC variant classification guidelines, quantitative methods have been developed to integrate multiple data types for clinical UV evaluation in BRCA1/2; results from these analyses are recorded in the BRCA gene Ex-UV database (hci-exlovd.hci.utah.edu). In variant classification, the rate-limiting step is often accumulation of patient observational data. Recently, functional assays evaluating BRCA1 RING domain and C-terminal substitutions have been calibrated, enabling variant classification through a two-component combination of sequence analysis-based predictions with functional assay results. This two-component classification was embedded in a decision tree with safeguards to avoid misclassification. For the two-component analysis, sensitivity is 87.5%, specificity is 100%, and the error rate 0.0%. Classification of a UV as likely pathogenic or likely neutral does not require certainty; the probabilistic definitions of the categories imply an error rate. Combining sequence analysis with functional assay data in two-component analysis added 146 BRCA1 variants to the Ex-UV database.

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