scholarly journals THE DISEASE CONCEPT THROUGH THE LANGUAGE MIRROR

2021 ◽  
Vol 1 (193) ◽  
pp. 312-321
Author(s):  
Oleksandr Kolesnyk ◽  
Keyword(s):  
Quantitative Analysis ◽  
Energy Loss ◽  
Systems Development ◽  
Human Existence ◽  
Structural Deformation ◽  
Disease Concept ◽  
Logical Model ◽  
Semantic Roles ◽  
External Assessment ◽  
Germanic Languages

The article analyzes language means verbalizing the concept of DESEASE. The paper suggests multi-vecrored interpretations of the concept names' etymology and highlights a number of typological parallels thus targeting certain universalia that pertain to biological systems' disorders and dusfunctions. The implemented methodology exercises the eco-centric focus of interpretations, considers irrational premises of cognition and rationalization of reality, fuzzy nature of objects and phenomena involved in multidimensional interactions, non-linear causative correlations of diverse phenomena and respective generic systems, quantum peculiarities of verbally conveyed informational clusters, enigmatic nature of systems' development at bifurcation points as well as systems' inverse fluctuations. The synthetic-analytical interpretations of the concept names' etymology allowed reconstructing the inchoative "nano-myth" that impacts the trajectories of further conceptualization and designation of disease-related phenomena. This "nano-myth' contains the idea of structural deformation (distortion or uncontrolled expansion) which triggers the systems' entropy rise, energy loss, dysfunctionality, discomfort and painful symptoms, as well as negative assessment (as either auto-diagnostics or external assessment). Semantics of respective stems suggests an explanation of traditional asspciating disease and mythic creatures. The paper introduces a folmal logical model of DISEASE as scenario / "eventive" concept. The article discusses functional-semantic roles of language signs verbalizing DISEASE in different texts in Germanic languages of diverse historic periods. The paper provides quantitative analysis of respective designation units within a customary corpus encompassing English lyrics authored by the present-day rock musicians. The units from the corpus are subjected to semantic and linguo-cognitive analysis which traces the way the DISEASE is projected onto a variety of social and cultural spheres of human existence.

The Influence of Specimen Thickness in Quantitative Electron Energy Loss Spectroscopy

1980 ◽  
Vol 38 ◽  
pp. 112-113
Author(s):  
Nestor J. Zaluzec
Keyword(s):  
Quantitative Analysis ◽  
Adverse Effects ◽  
Energy Loss ◽  
Electron Energy ◽  
Electron Energy Loss Spectroscopy ◽  
Materials Science ◽  
Light Element ◽  
Specimen Thickness ◽  
Element Analysis ◽  
Electron Energy Loss

The application of electron energy loss spectroscopy (EELS) to light element analysis is rapidly becoming an important aspect of the microcharacterization of solids in materials science, however relatively stringent requirements exist on the specimen thickness under which one can obtain EELS data due to the adverse effects of multiple inelastic scattering.1,2 This study was initiated to determine the limitations on quantitative analysis of EELS data due to specimen thickness.

A Poor Man’s Approach to Semi-Quantitative Analysis with Electron Energy Loss Spectroscopy

1980 ◽  
Vol 38 ◽  
pp. 110-111
Author(s):  
M. Isaacson
Keyword(s):  
Quantitative Analysis ◽  
Energy Loss ◽  
Electron Energy ◽  
Cross Section ◽  
Electron Energy Loss Spectroscopy ◽  
Excitation Cross Section ◽  
Incident Electron ◽  
Integral Cross Section ◽  
Image Position ◽  
Electron Energy Loss

In an earlier paper1 it was found that to a good approximation, the efficiency of collection of electrons that had lost energy due to an inner shell excitation could be written as where σE was the total excitation cross-section and σE(θ, Δ) was the integral cross-section for scattering within an angle θ and with an energy loss up to an energy Δ from the excitation edge, EE. We then obtained: where , with P being the momentum of the incident electron of velocity v. The parameter r was due to the assumption that d2σ/dEdΩ∞E−r for energy loss E. In reference 1 it was assumed that r was a constant.

Dechanneling Effects in EELS and EDXS Analysis of Ybacu-Oxides

2001 ◽  
Vol 7 (S2) ◽  
pp. 340-341
Author(s):  
Peter Miller
Keyword(s):  
Quantitative Analysis ◽  
Energy Loss ◽  
Momentum Transfer ◽  
Crystal Orientation ◽  
Ionization Rate ◽  
X Rays ◽  
Electron Wave ◽  
X Ray ◽  
Factor Method ◽  
Specimen Orientation

Quantitative analysis in the TEM by EELS or EDXS depends on the K-factor method in which uniform ionization, independent of specimen orientation and thickness, is assumed. This assumption is of limited validity for crystals, where channeling of the electron wave ψ affects the ionization rate as observed in both energy loss and X-ray signals. Both EELS and EDXS are sensitive to changes in ψψ*near the atomic sites, and this variation as a function of crystal orientation forms the basis for ALCHEMI. Simultaneously recorded EELS and EDXS spectra were used to monitor changes in Cu/Ba ratio from YBaCu-oxides using L2,3/M4,5 ionization edges or K/L X-rays respectively. Although the acceptance aperture for EELS (11 mrad at 300 keV) may not be sufficiently large to mask double-channeling effects, it is small enough that momentum transfer is sufficiently limited to enhance derealization. Thus it is expected that the EELS signal should be less sensitive to crystal orientation than EDXS (an estimate of impact parameters yields 0.73 and 0.61 Å for the Ba and Cu energy loss signals, reducing to 0.06 and 0.04 Å respectively for X-ray emissions).

Quantitative analysis of electron energy-loss spectra from ultrathin-sectioned biological material

1991 ◽  
Vol 162 (1) ◽  
pp. 23-42 ◽  
Author(s):  
C. W. J. Sorber ◽  
G. A. M. Ketelaars ◽  
E. S. Gelsema ◽  
J. F. Jongkind ◽  
W. C. Bruijn
Keyword(s):  
Quantitative Analysis ◽  
Energy Loss ◽  
Electron Energy ◽  
Biological Material ◽  
Electron Energy Loss ◽  
Electron Energy Loss Spectra
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