scholarly journals Differentiating Cardiac and Pulmonary Causes of Dyspnea Using Ultrasonography and Dyspnea Discrimination Index

2021 ◽  
Vol 26 (1) ◽  
pp. 33-38
Author(s):  
Kishore Pichamuthu ◽  
Darpanarayan Hazra ◽  
Kundavaram PP Abhilash ◽  
Gina M Chandy ◽  
Sowmya Sathyendra
Keyword(s):  
Author(s):  
Anupama Jena ◽  
Mahesh Chander ◽  
Sushil K. Sinha

In the present study, a test was developed to measure the knowledge level of dairy farmers about scientific dairy farming. A preliminary set of 87 knowledge items was initially administered to 60 randomly selected dairy farmers for item analysis. The difficulty index and discrimination index was found out, and the items with difficulty index ranging from 30 to 80 and the discrimination index ranging from 0.30 to 0.55 were included in the final format of the knowledge test. A total of 48 items which fulfilled both the criteria were selected for the final format of knowledge test. Reliability of the test through split half method was found out to be 0.386 and the coefficient of correlation value by the test-retest method was 0.452, which was found to be significant at 1% level of significance. Hence, the knowledge test constructed was highly stable, reliable and validated for measuring what it intends to.


Assessment ◽  
2020 ◽  
pp. 107319112097338
Author(s):  
Naheed Ahmed

Background: Hate crimes against Muslim Americans have increased exponentially in the past 20 years, but there is currently no scale for measuring perceived anti-Muslim discrimination in the United States. To fill this gap, this study used a mixed-method approach to develop scales for measuring perceived anti-Muslim discrimination. Method: Qualitative data informed the development and validation of the 19-item Societal Anti-Muslim Discrimination Index and the 9-item Interpersonal Anti-Muslim Discrimination Index. Quantitative data ( N = 347) were collected from Muslim Americans using an online survey and used to assess the anti-Muslim indexes. Results: Qualitative data contributed to the refinement scale items. Quantitative results indicated one-component models and modest to high reliability of the Interpersonal Anti-Muslim Discrimination Index (.77) and Societal Anti-Muslim Discrimination Index (.88) scales. Discussion: Study results established the validity of these novel scales for measuring the distinct facets of anti-Muslim discrimination not captured by the Everyday Discrimination Index. These scales will facilitate research on anti-Muslim discrimination and the health implications of this form of religious-based discrimination.


1977 ◽  
Vol 86 (4) ◽  
pp. 768-783 ◽  
Author(s):  
I. Transbø ◽  
F. Schønau Jørgensen ◽  
I. Hornum ◽  
N. Keiding

ABSTRACT The limited usefulness of radioimmunoassays of parathyroid hormone in the differential diagnosis of hypercalcaemia invites the use of methods measuring effects of parathyroid hormone (PTH). Data from 4–5-day metabolic studies in 107 hypercalcaemic patients (78 retrospective and 29 prospective cases) were combined in a hypercalcaemia discrimination index (HDI). HDI = (urine calcium (mg/24 h) x 100 x serum phosphate (mg/100 ml))/(serum total calcium (mg/100 ml) x 24-h clearance of creatinine (ml/min)) expresses in one figure the combined actions of PTH on the renal handling of calcium and on serum phosphate. A multivariate analysis confirmed that HDI offered optimal discrimination. An identical discrimination was observed in the prospective series. In the complete series HDI = 137 was the optimal discrimination point. Classification of the patients as having hyperparathyroidism (HPT) or pseudohyperparathyroidism (P-HPT) (< 137) or non-parathyroid hypercalcaemia (NON-PTH) (≧ 137) corresponded in 100 out of 107 patients (93.5%) with the final clinical diagnosis. The effects on HDI of sex, age, season, urine losses, high calcium intake and use of thiazides were also evaluated. HDI appears to be a valuable tool in the endocrine evaluation of hypercalcaemic patients. Used in combination with radioimmunoassays measuring genuine but not ectopic PTH HDI may serve to classify hypercalcaemic patients within the following 3 subgroups: HPT, P-HPT and NON-PTH.


2013 ◽  
Vol 470 ◽  
pp. 683-688
Author(s):  
Hai Yang Jiang ◽  
Hua Qing Wang ◽  
Peng Chen

This paper proposes a novel fault diagnosis method for rotating machinery based on symptom parameters and Bayesian Network. Non-dimensional symptom parameters in frequency domain calculated from vibration signals are defined for reflecting the features of vibration signals. In addition, sensitive evaluation method for selecting good non-dimensional symptom parameters using the method of discrimination index is also proposed for detecting and distinguishing faults in rotating machinery. Finally, the application example of diagnosis for a roller bearing by Bayesian Network is given. Diagnosis results show the methods proposed in this paper are effective.


2018 ◽  
Vol 28 (1) ◽  
pp. 35-43 ◽  
Author(s):  
Travis Robert Alexander ◽  
Carolyn F. Ross ◽  
Emily A. Walsh ◽  
Carol A. Miles

Machine harvest of ‘Brown Snout’ specialty cider apple (Malus ×domestica) has been shown to provide yield and juice quality characteristics similar to that of hand harvest. In this 2-year study, the sensory perception (color, aroma, flavor, mouthfeel, taste, and aftertaste) of ciders produced from machine-harvested and hand-harvested fruit that were ambient stored (56 °F) 0–4 weeks postharvest were compared using a trained panel and electronic tongue (e-tongue). For nearly all sensory attributes evaluated, the trained panelists scored the 2014 machine-harvested samples higher than the 2014 hand-harvested samples. Some of the key sensory differences included a darker color, a more astringent and heated mouthfeel, and a more sour taste of the machine-harvested samples than the hand-harvested samples. Trained panelists perceived no differences due to the harvest method among the 2015 samples for any of the sensory attributes evaluated. The e-tongue demonstrated good discrimination (index value = 95) of 2014 samples, but poor discrimination (index value = −0.5) of 2015 samples, mirroring the year-to-year variation experienced by the trained panelists. Overall, the e-tongue demonstrated a response to metallic and sour that was more associated with the machine-harvested samples and a response to sweet and umami that was more associated with the hand-harvested samples. These results demonstrate that cider made from machine-harvested fruit can have a different sensory profile than cider made from hand-harvested fruit. A consumer tasting panel should be conducted next to provide an indication of market response to the differing sensory profiles, qualifying the impact of harvest method. Results also indicate that ambient storage (56 °F) of fruit up to 4 weeks may not impact cider sensory attributes; however, cider apple growers should avoid ambient storage of machine-harvested fruit given the significant yield losses demonstrated in previous studies. Variation in cider quality due to year of harvest was most likely a result of differences in the hand-harvest technique between the 2 years, specifically more fruit bruising in 2014 than in 2015, demonstrating the importance of harvesting fully mature fruit with a standard protocol so as to supply a consistent raw material to cider producers. The e-tongue produced variable results compared with trained panelists and more development is needed before it can be incorporated into cider sensory evaluation protocol.


1968 ◽  
Vol 23 (1) ◽  
pp. 301-302
Author(s):  
Lewis R. Aiken

It is demonstrated that the item discrimination index (d) and an index of the uniformity of the distribution of choices of distracters (U) provide useful information about the effectiveness of distracters on multiple-choice items.


2017 ◽  
Vol 50 (5) ◽  
pp. 681-700 ◽  
Author(s):  
L Xu ◽  
MR Luo ◽  
M Pointer

One aspect of colour rendering is to discern the difference between colours and colour discrimination. This is important for applications such as surgical procedures and industrial inspection. Two psychophysical experiments were conducted using computer generated images and real materials, including stone, wood and organs. The results were used to develop a colour discrimination index which includes three components: the CAM02-UCS uniform colour space, the correlated colour temperature and a set of test samples.


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