Personality traits are known to moderate treatment response and are often an essential add-on to a symptom picture when performing a patient’s systematic evaluation. However, personality measures are often long to administer due to their large number of items. Rammstedt and John (2007) abbreviated the Big Five Inventory (BFI-44) to a 10-item version (BFI-10) and found that the shortened scales retained reasonable levels of reliability and validity. The Italian adaptation of BFI-44 was administered to 645 subjects, together with a socio-demographic questionnaire. Psychometric properties (i.e., internal consistency and construct validity) of the BFI-44 and of BFI-10 were assessed through Confirmatory Factor Analyses. Psychometric properties of the BFI-44 and BFI-10 overlapped those of the English, Spanish and German version. Confirmatory analyses revealed that the factor structure based on responses to the items of BFI-10 was invariant with the factor structure based on responses to the items of BFI-44. We also modeled the effects of social desirability, age, gender and their interactions. The effects of such covariates were substantially invariant across factor structures of BFI-10 and BFI-44. Social desirability increased the goodness of fit of the measurement model while the linear component of age was positively correlated with Conscientiousness and negatively with Nevroticism, on which females scored higher than males. Though the BFI-10 scales showed acceptable levels of reliability and validity, they do not reach the depth of construct operazionalization provided by the scales of BFI-44, which thus should be employed in systematic evaluation in clinical settings.
This is a three parts lecture series. The parts will cover the basics and fundamentals of reliability engineering. Part 1 begins with introduction of reliability definition and other reliability characteristics and measurements. It will be followed by reliability calculation, estimation of failure rates and understanding of the implications of failure rates on system maintenance and replacements in Part 2. Then Part 3 will cover the most important and practical failure time distributions and how to obtain the parameters of the distributions and interpretations of these parameters. Hands-on computations of the failure rates and the estimation of the failure time distribution parameters will be conducted using standard Microsoft Excel.
Part 2. Reliability Calculations
1.Use of failure data
2.Density functions
3.Reliability function
4.Hazard and failure rates
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TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
This is a three parts lecture series. The parts will cover the basics and fundamentals of reliability engineering. Part 1 begins with introduction of reliability definition and other reliability characteristics and measurements. It will be followed by reliability calculation, estimation of failure rates and understanding of the implications of failure rates on system maintenance and replacements in Part 2. Then Part 3 will cover the most important and practical failure time distributions and how to obtain the parameters of the distributions and interpretations of these parameters. Hands-on computations of the failure rates and the estimation of the failure time distribution parameters will be conducted using standard Microsoft Excel.
Part 2. Reliability Calculations
1.Use of failure data
2.Density functions
3.Reliability function
4.Hazard and failure rates
SPICE MODEL of 1N5818 (Standard Model) in SPICE PARKTsuyoshi Horigome
SPICE MODEL of 1N5818 (Standard Model) in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
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Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
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Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
Basavarajeeyam is an important text for ayurvedic physician belonging to andhra pradehs. It is a popular compendium in various parts of our country as well as in andhra pradesh. The content of the text was presented in sanskrit and telugu language (Bilingual). One of the most famous book in ayurvedic pharmaceutics and therapeutics. This book contains 25 chapters called as prakaranas. Many rasaoushadis were explained, pioneer of dhatu druti, nadi pareeksha, mutra pareeksha etc. Belongs to the period of 15-16 century. New diseases like upadamsha, phiranga rogas are explained.
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Bfi_barcelona08
1. Chiorri, C., Ubbiali, A., & Donati, D. (2008). Can personality traits be reliably assessed with short measures? An Italian study on the shortened
version of the Big Five Inventory-44. Talk given at the 39th International Meeting of the Society for Research in Psychotherapy, Barcelona, Spain,
18-21 June.
Can personality traits be reliably assessed
with short measures?
An Italian study on the shortened version of the
Big Five Inventory-44
Carlo Chiorri, PhD 1, Alessandro Ubbiali, PhD 2,
Deborah Donati. MD, PhD 2
1 Department of Anthropological Sciences – Psychology Unit, Genoa University, Italy
2 Department of Clinical Neurosciences - San Raffaele Turro, Milan, Italy
Vita-Salute San Raffaele University, School of Psychology, Milan, Italy
2. Importance of personality
assessment
Personality often moderates treatment response
Personality traits are an important add-on in clinical
assessment
The use of personality measures in clinical practice is
often limited by the long administration time (e.g.,
NEO-PI-R)
3. The Big Five Model
Generally found across cultures (Hofstee et al., 1997)
Has strong predictive validity (Ozer & Benet-Martinez,
2006; Paunonen, 2003)
Good interrater agreement (McCrae & Costa, 1987)
Hereditability (Bouchard et al., 1996)
Children as early as in middle childhood can be
characterized by them (Asendorpf & van Aken, 2003)
4. Big Five Measures
1-item dimensions (Gosling et al. 2003)
2-item dimensions (TIPI, Gosling et al. 2003; BFI-10,
Rammstedt & John, 2007)
7/9-item dimensions (BFI-44, John et al., 1991;
BFMM, Saucier, 1994)
20-item dimensions (FFPI, Hendriks et al., 1999)
2-facet/12-item dimensions (BFQ, Caprara et al.,
1993)
6-facet/8-item dimensions (NEO-PI-R, Costa &
McCrae, 1992)
6. Big Five Inventory (BFI-44)
John et al., 1991
Freely available and widely used in Internet assessment
(e.g., Srivastava et al., 2003)
Aims at measuring the Big Five dimensions using as
few items as possible while achieving adequate levels of
reliability
Good internal consistency (M α = .83)
Good convergent validity with corresponding scales of
Goldberg’s (1992) adjectives and Costa and McCrae’s
(1992) NEO Five-Factor Inventory (NEO–FFI)
Already adapted into Spanish (Benet-Martinez & John,
1998), German (Lang et al., 2001) and Dutch (Denissen
et al., 2008)
7. Method
Translation and back-translation procedure
821 participants
%F = 57.6
age M = 34.48±15.05 yrs (range 18 – 90)
education M = 14.59±3.38 yrs (range 3 – 27)
8. Overview of analyses
Descriptives
Item analysis
Exploratory and Confirmatory Factor Analysis
Effects of gender, age and educational level modeled
by SEM
Correspondence between factor structure of the
Italian translation with the other versions
Construct validity
BFI-10 reliability and validity
A glance at the future
9. Descriptives
All item means fell in the 2 to 4 range, except:
Item 3: Does a thorough job (C)
Item 7: Is helpful and unselfish with others (A)
Item 10: Is curious about many different things (O)*
Item 12: Starts quarrels with others (A)
Item 13: Is a reliable worker (C)*
Few other items a little bit kurtotic (max -1.24)
SD range was 0.84 – 1.37 → restriction of range was
not a problem
* Same as in Dutch validation (Denissen et al., 2008)
12. KMO = .85 (Univariate MSA: M = .84, range .69 -.91)
Initial h2: M = .39, range .11 - .57
% of variance accounted for by the 5-factor solution: 43.19
All FLs on the expected factor ≥ .30
Extraction h2: M = .36, range .06 - .64
Correlations
Raw Estimated from PAF/Promax
E A C N O E A C N O
E 1.00 1.00
A .10 1.00 .08 1.00
C .21 .15 1.00 .27 .17 1.00
N -.16 -.11 -.23 1.00 -.10 .04 -.25 1.00
O .28 .07 .14 -.03 1.00 .39 .09 .28 .00 1.00
13. % of variance accounted for by the 6-factor solution: 46.70
All FLs on at least factor ≥ .30
Extraction h2: M = .38, range .06 - .63
Item no. Item
1 Is talkative
6 Is reserved
11 Is full of energy
E1 E2
16 Generates a lot of enthusiasm
21 Tends to be quiet
26 Has an assertive personality
31 Is sometimes shy, inhibited
36 Is outgoing, sociable
E1 E2 A C N O
E1 1.00
E2 .22 1.00
A .08 .10 1.00
C .07 .33 .19 1.00
N -.08 -.06 .04 -.25 1.00
O .20 .39 .12 .14 .02 1.00
14. Confirmatory Factor Analyses
Five Uncorrelated Factors
SB χ2/df = 5.23, TLI*= .79, CFI* = .80, RMSEA = .074, SRMR = .105
E A C N O
Five Correlated Factors
SB χ2/df = 4.97, TLI*= .81, CFI* = .82, RMSEA = .072, SRMR = .083
E A C N O
15. Top 10 Modification Indices
Path Coefficients Error Covariances
Original Suggested Decrease Decrease
Item Items
Factor Factor in X2 in X2
BFI11 E C 85.2 BFI26 BFI11 E 253.9
BFI26 E C 84.2 BFI43 BFI08 C 210.7
BFI06 E C 60.4 BFI44 BFI30 O 148.1
BFI42 A E 52.6 BFI39 BFI19 N 126.4
BFI31 E N 49.8 BFI44 BFI41 O 110.0
BFI26 E O 40.2 BFI25 BFI40 O 109.0
BFI11 E N 37.1 BFI32 BFI07 A 84.8
BFI16 E O 36.4 BFI21 BFI01 E 76.4
BFI04 N E 33.5 BFI41 BFI30 O 76.0
BFI39 N A 33.3 BFI38 BFI28 C 72.4
16. Five Correlated Factors + Social Desirability
SB χ2/df = 3.73, TLI*= .87, CFI* = .88, RMSEA = .059, SRMR = .061
E A C N O
Social Desirability
17. Effects of Gender, Age and Education
SB χ2/df = 4.98, TLI*= .79, CFI* = .80, RMSEA = .072, SRMR = .100
E
Scale Gender Age Education
Age E -.04 .02 -.01
A
A -.17 .17 -.02
C -.13 .29 .14
Education N -.29 -.19 -.09
C
O .04 -.08 .11
Gender Standardized coefficients; F=0, M=1
N
O
18. Correspondence between factor structure of the
Italian translation with the other versions
E A C N O
E .94 .01 .11 -.13 .30
A .07 .94 .15 -.11 .00
Spanish C .16 .15 .93 -.23 .11
N -.18 -.17 -.23 .94 -.16
O .22 .04 .13 -.16 .81
E .92 .10 .14 -.18 .20
A .05 .90 .14 -.13 -.06
US C .19 .13 .95 -.19 .00
N -.27 -.26 -.20 .95 -.16
O .16 -.05 .07 -.11 .80
E .92 .15 .20 -.24 .24
A .04 .93 .14 -.06 .08
Dutch C .22 .18 .95 -.24 .17
N -.24 -.14 -.23 .94 -.01
O .26 .07 .16 -.08 .95
Congruence coefficients of Varimax Rotated Principal Components Loadings
20. BFI-10 Item Analysis
Scale Part-whole correlations
E .79
A .65
C .80
N .85
O .78
Rammstedt & John, 2007 n FS × rFS n SF × rSF
Corrected rSF − FS = ×
1 + (n FS − 1) rFS 1 + (n SF − 1)rSF
M SD SK KU α (exp) r rSF-FS
BFI06 2.37 1.20 0.60 -0.58
E .50 (.50) .33 .40
BFI36 3.78 1.11 -0.67 -0.34
BFI02 3.20 1.18 -0.03 -1.05
A .43 (.30) .27 .29
BFI22 3.91 0.91 -0.67 0.28
BFI03 4.06 0.97 -0.98 0.50
C .47 (.54) .33 .42
BFI23 3.04 1.37 -0.02 -1.24
BFI09 3.09 1.23 -0.01 -1.03
N .53 (.50) .37 .43
BFI39 3.26 1.22 -0.25 -0.93
BFI20 3.98 1.03 -0.92 0.34
O .37 (.43) .24 .31
BFI41 3.54 1.30 -0.43 -0.96
21. FIML Estimation
Invariance of the factor structure based on responses to all 44 items in the BFI in
one random subsample (S1) with that based on the 10 items in the BFI-10 for the
other random subsample (S2)
Responses to the remaining 34 unselected items were considered as missing in S2
Invariance constraints were tested for the10 FLs and 10 uniquenesses for items
common to both the BFI-44 and the BFI-10 and for the entire factor variance–
covariance matrix
The 34 factor loadings and 34 uniquenesses for unselected items that only appear
in BFI-44 were freely estimated
Model FIML χ2 df RMSEA
Unconstrained 2620.02 1784 .035
FLs invariant 2623.22 1823 .034
FLs+FVs invariant 2632.53 1828 .034
FLs+FVs+FCors invariant 2666.48 1838 .034
FLs+FVs+FCors + Uniquessess
2681.52 1882 .033
invariant (total invariance)
23. Conclusions
Italian BFI-44 showed adequate levels of internal consistency,
factorial and external validity, consistent with the psychometric
properties of the English original
High levels of cross-cultural applicability
When the 10 items of the BFI-10 are considered, psychometric
properties appear to be acceptable, even if there were
substantial losses in comparison to the full-scale BFI-44
Future studies
test–retest reliability
agreement between self-reports and peer reports
BFI-10 independent administration
24. A glance at the future – 1
Barbaranelli, 2001
1 1
0,8 0,8
0,6 0,6
0,4 0,4
N N
z scores
z scores
0,2 0,2
E E
0 O 0 O
-0,2 A A
-0,2
C C
-0,4 -0,4
-0,6 -0,6
-0,8 -0,8
-1 -1
Resilient Overcontrolled Undercontrolled Resilient Overcontrolled Non-desirable Undercontrolled
25. A glance at the future – 2
4
3,5
Mean Score *
3
General Population (n = 821)
2,5
PD (n = 32)
2
E A C N O
Scale
* Adjusted for Gender, Age and Education