The Personas' New Clothes: Methodological and Practical Arguments against a Popular Method

2006 ◽  
Vol 50 (5) ◽  
pp. 634-636 ◽  
Author(s):  
Christopher N. Chapman ◽  
Russell P. Milham
Keyword(s):  
Popular Method ◽  
Practical Arguments

Preservation of Plant Cell Surfaces For Scanning Electron Microscopy

1973 ◽  
Vol 31 ◽  
pp. 472-473
Author(s):  
Linda M. Sicko ◽  
Thomas E. Jensen
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Critical Point ◽  
Filter Paper ◽  
Freeze Drying ◽  
Cell Surfaces ◽  
Air Drying ◽  
Popular Method ◽  
Critical Point Drying ◽  
Scanning Electron

The use of critical point drying is rapidly becoming a popular method of preparing biological samples for scanning electron microscopy. The procedure is rapid, and produces consistent results with a variety of samples. The preservation of surface details is much greater than that of air drying, and the procedure is less complicated than that of freeze drying. This paper will present results comparing conventional air-drying of plant specimens to critical point drying, both of fixed and unfixed material. The preservation of delicate structures which are easily damaged in processing and the use of filter paper as a vehicle for drying will be discussed.

Dealing with imperfect elicitation results

2019 ◽  
Author(s):  
Rens van de Schoot ◽  
Elian Griffioen ◽  
Sonja Désirée Winter
Keyword(s):  
Statistical Parameter ◽  
Research Practices ◽  
Popular Method ◽  
Questionable Research Practices ◽  
Present Information

The trial-and-roulette method is a popular method to extract experts’ beliefs about a statistical parameter. However, most studies examining the validity of this method only use ‘perfect’ elicitation results. In practice, it is sometimes hard to obtain such neat elicitation results. In our project about predicting fraud and questionable research practices among PhD candidates, we ran into issues with imperfect elicitation results. The goal of the current chapter is to provide an over-view of the solutions we used for dealing with these imperfect results, so that others can benefit from our experience. We present information about the nature of our project, the reasons for the imperfect results, and how we resolved these sup-ported by annotated R-syntax.

Fuzzy Mathematical Safety Evaluation of Coal Mine Gas Accident

2012 ◽  
Vol 433-440 ◽  
pp. 2712-2715
Author(s):  
Xiao Li Liu ◽  
Zhi Ye Zhang
Keyword(s):  
Coal Mine ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Risk Index ◽  
Safety Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Accident Risk ◽  
Popular Method ◽  
Coal Mine Gas ◽  
Mine Gas

Now the coal mine gas risk index and evaluation system has a lot of deficiency. The paper establishes a coal mine gas risk index system and explains the meaning of each index on the basis of analysis of gas accident for recent years. Fuzzy comprehensive evaluation has become an effective and popular method, so the paper evaluates the coal mine gas accident risk using fuzzy mathematical safety evaluation, and takes this method in six mines of one group, at last the paper provides some suggestions for this method

Algorithm of Noise Reduction for Adaptive Dictionary Learning Research Based on Brain MRI Images

2014 ◽  
Vol 687-691 ◽  
pp. 4123-4127 ◽  
Author(s):  
Jia Qing Miao
Keyword(s):  
Sparse Representation ◽  
Image Denoising ◽  
Brain Mri ◽  
Image Representation ◽  
Training Algorithm ◽  
Redundant Dictionary ◽  
Popular Method ◽  
Sparse Decomposition ◽  
Learning Research ◽  
Dictionary Training

Recent years, the image sparse representation has been the popular method in the study of image representation, which has put forward a new idea in the image denoising. Its basic principle is that the original image has the sparse representation under the proper over-complete dictionary. Filter out the noise, we should find out the sparse representation of the image through the design of the dictionary. Its mechanism is that one hand the useful information of the image would be effectively expressed because of the sparse decomposition algorithm based on the redundant dictionary. The other the noise would not be expressed through the dictionary atoms. We do the image denoising according to the image sparse representation. Because of the superiority of the adaptive dictionary algorithm in the image, in this paper, we discuss the over-complete dictionary training algorithm. And we prove the effectiveness through the MATLAB.

Does Funeral Preference Influence Clinical Necropsy Request Outcome?

1997 ◽  
Vol 37 (4) ◽  
pp. 337-340 ◽  
Author(s):  
R D Start ◽  
A K Dube ◽  
S S Cross ◽  
J C E Underwood
Keyword(s):  
Retrospective Study ◽  
Significant Relationship ◽  
Popular Method ◽  
The Dead

Attitudes towards necropsy have been shown to be more favourable amongst those relatives preferring cremation as a method of disposal compared to those with a preference for burial. In a two-year retrospective study, no significant relationship was found between funeral preferences (burial or cremation) and clinical necropsy request outcome when age, sex and religion were taken into account. Potential religious objections to necropsy were infrequent and cremation was found to have become the most popular method of disposing of the dead during a period when local clinical necropsy rates have continued to decline. Funeral preference is unlikely to have been a significant factor in the decline in clinical necropsy rates.

Ophthalmologist Attitudes regarding Fixed Combination Treatment for Glaucoma in the European Union

2009 ◽  
Vol 19 (4) ◽  
pp. 588-593 ◽  
Author(s):  
William C. Stewart ◽  
Bonnie Kruft ◽  
Lindsay A. Nelson ◽  
Jeanette A. Stewart
Keyword(s):  
Quality Of Life ◽  
European Union ◽  
Intraocular Pressure ◽  
Electronic Mail ◽  
Fixed Combination ◽  
The European Union ◽  
Perceived Safety ◽  
Popular Method ◽  
First Choice

Purpose To survey ophthalmologists in the European Union to determine their fixed combination (FC) preferences. Methods A multiple-choice survey was sent to randomly chosen ophthalmologists throughout the European Union and bordering countries by electronic mail delivery. Ophthalmologists were resent the survey on two more occasions if no response was obtained. Results In total, 50 surveys were received from 530 distributed (9.4% response) from 16 countries. More ophthalmologists prescribed an FC as second (80%) or third choice (64%) therapy than first choice (30%, p=0.0036). As first (p<0.0001) and third choice (p=0.011), the dorzolamide/timolol FC was most commonly prescribed, while as second choice the latanoprost/timolol FC (p<0.0001) was most popular. Overall, 98% (49/50) of doctors believed FC therapy improved patient care most often by better compliance (n=49) and quality of life (n=48, p<0.0001). Most ophthalmologists believed that there was a difference in efficacy between the FC products (32/50, 64%) with the most effective being the bimatoprost/timolol FC (n=12, 24%, p=0.029). However, fewer ophthalmologists perceived safety differences between the products (34/50, 68%). For prostaglandins, dosing time was suggested in the morning by 18 (36%) ophthalmologists and in the evening by 24 (48%) (p=0.35). Conclusions FCs in the European Union are a potentially popular method to reduce intraocular pressure, being prescribed most commonly as second or third choice therapy. The perceived advantages to FC therapy are greater compliance to the medicine and improved patient quality of life.

Microcannula Utilization for Injectable Facial Fillers: Standard of Care?

2018 ◽  
Vol 35 (4) ◽  
pp. 189-197 ◽  
Author(s):  
Kian Karimi ◽  
Chester F. Griffiths ◽  
Alex Reivitis ◽  
Austin Davis-Hunter ◽  
Elizabeth Zhang ◽  
...  
Keyword(s):  
Adverse Events ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Standard Of Care ◽  
Dermal Filler ◽  
Popular Method ◽  
Patient Reported ◽  
Clinical Series ◽  
Filler Injections

The microcannula technique has become an increasingly popular method for injecting cosmetic fillers. Previous studies have illustrated that the microcannula technique allows filler to be injected with less pain, swelling, and essentially no bruising. This study is a retrospective clinical series examining 247 patients who have undergone dermal filler injections using the microcannula technique from 2011 to 2016 with a single injector, Kian Karimi. The purpose of this study is to assess the frequency of adverse events associated with injections such as bruising and swelling. All 666 recorded patient visits from 2011 to 2016 were analyzed using electronic medical records based on the criteria that the patients had cosmetic filler using the microcannula technique by the surgeon investigator. Of the 666 filler treatments using the microcannula technique, 3 treatments (0.5%) produced adverse events on the day of service, and 32 treatments (4.8%) produced adverse events at 2-week follow-up. In total, 5.4% of treatments produced adverse events. At the 2-week follow-up, 5.7% of treatments using the 25-gauge microcannula produced adverse events ( P = .830); 3.9% of treatments using the 27-gauge microcannula produced adverse events ( P = .612]). Only 3 patients were treated with the 30-gauge microcannula, and 1 patient reported adverse events on the day of service. None of the treatments using the 30-gauge microcannula produced adverse events at the 2-week follow-up ( P = .160). The data support that the microcannula technique is a safe and effective alternative to hypodermic needles for the injection of dermal filler to minimize common adverse events.

scholarly journals SISTEM APLIKASI BERBASIS OPTIMASI METODE ELBOW UNTUK PENENTUAN CLUSTERING PELANGGAN

JOUTICA ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 117 ◽  
Author(s):  
Elly Muningsih ◽  
Sri Kiswati
Keyword(s):  
Data Center ◽  
Clustering Algorithm ◽  
Visual Basic ◽  
Customer Management ◽  
Number Of Clusters ◽  
Transaction Data ◽  
Development Method ◽  
Popular Method ◽  
Or Groups ◽  
Cluster 2

Customer is a very important asset for the company. Having customers who are loyal to the company is an absolute and important for the progress of the company. This study aims to help companies, especially in the online shop to create a better customer management by identifying and grouping customers into several clusters or groups to know the characteristics of their loyalty to the company. The method used in this research is K-Means method which is one of the best and most popular method in clustering algorithm. To overcome the weakness of the K-Means method in determining the number of clusters, we use the Elbow method where this method gets the comparison of the number of clusters added by calculating the SSE (Sum of Square Error) of each cluster value. This research starts from collecting the necessary data and will be processed. From total transaction data 478 then done cleaning of data and result 73 data. Then the data processed with RapidMiner software from Cluster 2 up to 10 to search the data center of each cluster. From the calculated SSE value found that the best number of clusters is 3. The end result of the research is a Visual Basic based application program that is expected to provide ease in grouping or clustering customers. Software development method using Waterfall method.

scholarly journals Machine learning: Enhancing the Perception of the Computer

2020 ◽  
Vol 9 (4) ◽  
pp. 758-761
Keyword(s):  
Machine Learning ◽  
Computer Training ◽  
Internet Traffic ◽  
The Internet ◽  
Popular Method ◽  
Exponential Increase ◽  
Computer Teaching ◽  
Traffic Detection ◽  
The Web

The advancement of technology and networking allows the use of the Web incredibly important. There is thus an exponential increase in data and information via the Internet. This flow thus is a beneficial field of study which can be defined accurately. Internet traffic detection is a very popular method of identifying information. Although so many methods have been successfully developed for classifying internet traffic, computer training technology among them is most popular. A short study of the classification of Internet traffic on various managed and non-regulated computer teaching systems was undertaken by many researchers. This paper will give various ideas to the other researcher’s and help them to learn a lot about machine learning

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