Doctors, Drugs Used for Pleasure and Performance, and the Medical Model

1984 ◽  
pp. 175-185 ◽  
Author(s):  
Robert Michels
Keyword(s):  
Medical Model ◽  
And Performance

scholarly journals A Data-Centric Approach to Improve Machine Learning Model’s Performance in Production

2021 ◽  
Vol 11 (1) ◽  
pp. 240-243
Author(s):  
Pritom Bhowmik ◽  
◽  
Arabinda Saha Partha ◽  
Keyword(s):  
Machine Learning ◽  
Medical Model ◽  
Code Model ◽  
Machine Learning Model ◽  
Unlabelled Data ◽  
Overall Performance ◽  
Performance Auditing ◽  
And Performance ◽  
Consistency Error

Machine learning teaches computers to think in a similar way to how humans do. An ML models work by exploring data and identifying patterns with minimal human intervention. A supervised ML model learns by mapping an input to an output based on labeled examples of input-output (X, y) pairs. Moreover, an unsupervised ML model works by discovering patterns and information that was previously undetected from unlabelled data. As an ML project is an extensively iterative process, there is always a need to change the ML code/model and datasets. However, when an ML model achieves 70-75% of accuracy, then the code or algorithm most probably works fine. Nevertheless, in many cases, e.g., medical or spam detection models, 75% accuracy is too low to deploy in production. A medical model used in susceptible tasks such as detecting certain diseases must have an accuracy label of 98-99%. Furthermore, that is a big challenge to achieve. In that scenario, we may have a good working model, so a model-centric approach may not help much achieve the desired accuracy threshold. However, improving the dataset will improve the overall performance of the model. Improving the dataset does not always require bringing more and more data into the dataset. Improving the quality of the data by establishing a reasonable baseline level of performance, labeler consistency, error analysis, and performance auditing will thoroughly improve the model's accuracy. This review paper focuses on the data-centric approach to improve the performance of a production machine learning model.

The Aesthetic Model of Disability

2021 ◽  
pp. 193-215
Author(s):  
Nanna Kathrine Edvardsen ◽  
Rikke Gürgens Gjærum
Keyword(s):  
Medical Model ◽  
Field Studies ◽  
Social Model ◽  
Social Model Of Disability ◽  
Applied Art ◽  
The Social ◽  
Cultural Democracy ◽  
Art Based Research ◽  
And Performance ◽  
The Aesthetic

This chapter explores the questions of how and why certain behaviours are perceived as an expression of a disability – and not, for example, as an mic expression – and what role art can play when it comes to constructing and (re)framing disability as a phenomenon. The chapter is based on three field studies conducted at the NewYoungArt [NyUngKunst] festival in Northern Norway during the period 2017–2019, and uses dissemination methodology derived from art-based research and performance ethnography (Denzin, 2003; Haseman & Mafe, 2009; McNiff, 2007). The authors’ purpose is to present the “aesthetic model of disability”. This is a new model that clearly deviates from the medical model, but which complements the social model of disability and the Nordic GAP model (Owens, 2015; Shakespeare, 2004). The theoretical framework consists of Rancière (2012), Seel (2003) and Dewey (1934), among others. With this chapter, the authors wish to contribute to cultural democracy by identifying an opportunity, through applied art, for people with disabilities.

scholarly journals Student-faculty interactions within a physiotherapy curriculum in South Africa

2021 ◽  
Author(s):  
Serela S. Ramklass ◽  
Renuka Vithal
Keyword(s):  
Medical Model ◽  
Health Science ◽  
Student Experiences ◽  
Faculty Relationships ◽  
Hierarchical Relations ◽  
Faculty Interactions ◽  
Feminist Perspectives ◽  
And Performance ◽  
Teaching Learning ◽  
Relations Of Power

AbstractInteractions between faculty and students in higher education has the potential to influence and shape many aspects of teaching, learning, curricula, student experiences and performance, yet has received little attention as an area of study. This study investigates student-faculty interactions within a physiotherapy curriculum from the perspectives of students, faculty and physiotherapy managers at a South African university. The data, produced through multiple methods, derive from students, faculty and physiotherapy managers underpinned by critical-feminist perspectives. Thematic analysis of the data produced four themes. Two dominant threads emerging from the analysis as characterising student-faculty relationships are the deeply hierarchical relations of power characterised by a lack of caring and concern for students, and the exclusion of wider constructs for interaction; deriving from a particular entrenched medical model. Ironically, while caring relationships with patients are overtly advocated and developed, they appear to be largely absent in the same physiotherapy curriculum spaces in the relationships between faculty and students. These findings raise questions about how the most foundational attribute of a health science professional, that of caring, is being produced through the curriculum in the relationship between faculty and students in the health sciences.

Transmission Scanning Electron Microscopy and Energy Analysis with the Siemens ELMISKOP 101

1972 ◽  
Vol 30 ◽  
pp. 450-451
Author(s):  
H. M. Thieringer
Keyword(s):  
Objective Lens ◽  
Transmission Microscopy ◽  
Image Recording ◽  
Mode Of Operation ◽  
Scanning Transmission ◽  
Electron Microscopes ◽  
And Performance ◽  
Convergent Beam ◽  
Ray Path ◽  
Beam Diffraction

It has repeatedly been show that with conventional electron microscopes very fine electron probes can be produced, therefore allowing various micro-techniques such as micro recording, X-ray microanalysis and convergent beam diffraction. In this paper the function and performance of an SIEMENS ELMISKOP 101 used as a scanning transmission microscope (STEM) is described. This mode of operation has some advantages over the conventional transmission microscopy (CTEM) especially for the observation of thick specimen, in spite of somewhat longer image recording times.Fig.1 shows schematically the ray path and the additional electronics of an ELMISKOP 101 working as a STEM. With a point-cathode, and using condensor I and the objective lens as a demagnifying system, an electron probe with a half-width ob about 25 Å and a typical current of 5.10-11 amp at 100 kV can be obtained in the back focal plane of the objective lens.

Angular Resolved Electron Spectroscopy with Parallel Recording

1990 ◽  
Vol 48 (2) ◽  
pp. 370-371
Author(s):  
Huang Min ◽  
P.S. Flora ◽  
C.J. Harland ◽  
J.A. Venables
Keyword(s):  
Electron Spectroscopy ◽  
Low Voltage ◽  
Solid Angle ◽  
Detection System ◽  
Voltage Electron ◽  
Cylindrical Mirror ◽  
Inner Radius ◽  
Channel Plate ◽  
And Performance ◽  
Type Detector

A cylindrical mirror analyser (CMA) has been built with a parallel recording detection system. It is being used for angular resolved electron spectroscopy (ARES) within a SEM. The CMA has been optimised for imaging applications; the inner cylinder contains a magnetically focused and scanned, 30kV, SEM electron-optical column. The CMA has a large inner radius (50.8mm) and a large collection solid angle (Ω > 1sterad). An energy resolution (ΔE/E) of 1-2% has been achieved. The design and performance of the combination SEM/CMA instrument has been described previously and the CMA and detector system has been used for low voltage electron spectroscopy. Here we discuss the use of the CMA for ARES and present some preliminary results.The CMA has been designed for an axis-to-ring focus and uses an annular type detector. This detector consists of a channel-plate/YAG/mirror assembly which is optically coupled to either a photomultiplier for spectroscopy or a TV camera for parallel detection.

Novel epoxy/anhydride alternatives for biological electron microscopy: Physical and performance characteristis of embed 812 and LX 112 in combination with NSA/NMA/DMAE

1989 ◽  
Vol 47 ◽  
pp. 1000-1001
Author(s):  
Joe A. Mascorro ◽  
Gerald S. Kirby
Keyword(s):  
Electron Microscopy ◽  
Flow Rate ◽  
Succinic Anhydride ◽  
Volume Flow Rate ◽  
Mass Density ◽  
Uranyl Acetate ◽  
Volume Flow ◽  
Base Resin ◽  
And Performance ◽  
Acid Anhydrides

Embedding media based upon an epoxy resin of choice and the acid anhydrides dodecenyl succinic anhydride (DDSA), nadic methyl anhydride (NMA), and catalyzed by the tertiary amine 2,4,6-Tri(dimethylaminomethyl) phenol (DMP-30) are widely used in biological electron microscopy. These media possess a viscosity character that can impair tissue infiltration, particularly if original Epon 812 is utilized as the base resin. Other resins that are considerably less viscous than Epon 812 now are available as replacements. Likewise, nonenyl succinic anhydride (NSA) and dimethylaminoethanol (DMAE) are more fluid than their counterparts DDSA and DMP- 30 commonly used in earlier formulations. This work utilizes novel epoxy and anhydride combinations in order to produce embedding media with desirable flow rate and viscosity parameters that, in turn, would allow the medium to optimally infiltrate tissues. Specifically, embeding media based on EmBed 812 or LX 112 with NSA (in place of DDSA) and DMAE (replacing DMP-30), with NMA remaining constant, are formulated and offered as alternatives for routine biological work.Individual epoxy resins (Table I) or complete embedding media (Tables II-III) were tested for flow rate and viscosity. The novel media were further examined for their ability to infilftrate tissues, polymerize, sectioning and staining character, as well as strength and stability to the electron beam and column vacuum. For physical comparisons, a volume (9 ml) of either resin or media was aspirated into a capillary viscocimeter oriented vertically. The material was then allowed to flow out freely under the influence of gravity and the flow time necessary for the volume to exit was recored (Col B,C; Tables). In addition, the volume flow rate (ml flowing/second; Col D, Tables) was measured. Viscosity (n) could then be determined by using the Hagen-Poiseville relation for laminar flow, n = c.p/Q, where c = a geometric constant from an instrument calibration with water, p = mass density, and Q = volume flow rate. Mass weight and density of the materials were determined as well (Col F,G; Tables). Infiltration schedules utilized were short (1/2 hr 1:1, 3 hrs full resin), intermediate (1/2 hr 1:1, 6 hrs full resin) , or long (1/2 hr 1:1, 6 hrs full resin) in total time. Polymerization schedules ranging from 15 hrs (overnight) through 24, 36, or 48 hrs were tested. Sections demonstrating gold interference colors were collected on unsupported 200- 300 mesh grids and stained sequentially with uranyl acetate and lead citrate.

Trace nanoanalysis

1994 ◽  
Vol 52 ◽  
pp. 940-941
Author(s):  
D. E. Newbury ◽  
R. D. Leapman
Keyword(s):  
High Performance ◽  
Secondary Ion Mass Spectrometry ◽  
Detection Efficiency ◽  
Volume Element ◽  
And Performance ◽  
Trace Constituents ◽  
Secondary Ion ◽  
Concentration Levels ◽  
Structure Properties

Trace constituents, which can be very loosely defined as those present at concentration levels below 1 percent, often exert influence on structure, properties, and performance far greater than what might be estimated from their proportion alone. Defining the role of trace constituents in the microstructure, or indeed even determining their location, makes great demands on the available array of microanalytical tools. These demands become increasingly more challenging as the dimensions of the volume element to be probed become smaller. For example, a cubic volume element of silicon with an edge dimension of 1 micrometer contains approximately 5×1010 atoms. High performance secondary ion mass spectrometry (SIMS) can be used to measure trace constituents to levels of hundreds of parts per billion from such a volume element (e. g., detection of at least 100 atoms to give 10% reproducibility with an overall detection efficiency of 1%, considering ionization, transmission, and counting).

Relationship of stress and performance among first-year dental students

1986 ◽  
Vol 50 (5) ◽  
pp. 264-267 ◽  
Author(s):  
GH Westerman ◽  
TG Grandy ◽  
JV Lupo ◽  
RE Mitchell
Keyword(s):  
Dental Students ◽  
First Year ◽  
And Performance ◽  
Relationship Of

Counseling Parents at the Time of Diagnosis: Moving Toward Client-Centered Practice

2020 ◽  
pp. 1-5
Author(s):  
David Luterman
Keyword(s):  
Case History ◽  
Medical Model ◽  
Diagnostic Process ◽  
Separate Entity ◽  
Initial Examination ◽  
Personal Adjustment ◽  
Flow Of Information ◽  
Ultimate Purpose

Purpose The purpose of this article is to present a client-centered model of counseling that integrates information and personal adjustment counseling. Research has indicated that audiologists are more comfortable with counseling that is information based than with personal adjustment counseling. The prevailing model of diagnosis appears to be the medical model in which, first, a case history is taken, then testing and, finally, counseling. This model lends itself to audiologist as expert and the counseling as a separate entity based on information and advice. Further research has indicated parents retain little of the information provided in the initial examination because of their heightened emotions. This article presents a client-centered model of diagnosis in which information is provided within an emotionally safe context, enabling the parents to express their feelings and have the ability to control the flow of information. The ultimate purpose of a client-centered model is to empower parents by making them active participants in the diagnostic process rather than passive recipients. Conclusion The client-centered model has wide implications for the diagnostic process as well as for the training of students.

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