Subjective Evaluation and Objective Analysis of Timbre Fusion of Chinese and Western Musical Instruments

Background Metal implants may introduce severe artifacts in computed tomography (CT) images. Over the last few years dedicated algorithms have been developed in order to reduce metal artifacts in CT images. Purpose To investigate and compare metal artifact reduction algorithms (MARs) from four different CT vendors when imaging three different orthopedic metal implants. Material and Methods Three clinical metal implants were attached to the leg of an anthropomorphic phantom: cobalt-chrome; stainless steel; and titanium. Four commercial MARs were investigated: SmartMAR (GE); O-MAR (Philips); iMAR (Siemens); and SEMAR (Toshiba). The images were evaluated subjectively by three observers and analyzed objectively by calculating the fraction of pixels with CT number above 500 HU in a region of interest around the metal. The average CT number and image noise were also measured. Results Both subjective evaluation and objective analysis showed that MARs reduced metal artifacts and improved the image quality for CT images containing metal implants of steel and cobalt-chrome. When using MARs on titanium, all MARs introduced new visible artifacts. Conclusion The effect of MARs varied between CT vendors and different metal implants used in orthopedic surgery. Both in subjective evaluation and objective analysis the effect of applying MARs was most obvious on steel and cobalt-chrome implants when using SEMAR from Toshiba followed by SmartMAR from GE. However, MARs may also introduce new image artifacts especially when used on titanium implants. Therefore, it is important to reconstruct all CT images containing metal with and without MARs.

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Bone reconstruction: subjective evaluation and objective analysis based on conventional digital x-rays - a retrospective evaluation

Orthopaedics & Traumatology Surgery & Research ◽

10.1016/j.otsr.2021.103081 ◽

2021 ◽

pp. 103081

Author(s):

Lukas Zak ◽

Thomas M Tiefenboeck ◽

Gerald E Wozasek

Keyword(s):

Subjective Evaluation ◽

Objective Analysis ◽

X Rays ◽

Bone Reconstruction ◽

Retrospective Evaluation

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Musical instruments

AccessScience ◽

10.1036/1097-8542.440600 ◽

2015 ◽

Keyword(s):

Musical Instruments

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Musical Instruments: Their Construction and Capabilities.—II

Scientific American ◽

10.1038/scientificamerican04291905-24516bsupp ◽

1905 ◽

Vol 59 (1530supp) ◽

pp. 24516-24520

Author(s):

A. J. Hipkins

Keyword(s):

Musical Instruments

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On Chorea – quantitative and objective analysis – cross-sectional results of the TRACK-HD Study

Aktuelle Neurologie ◽

10.1055/s-0029-1238519 ◽

2009 ◽

Vol 36 (S 02) ◽

Author(s):

S van den Bogaard ◽

N Bechtel ◽

A Sturrock ◽

C Jauffret ◽

M Say ◽

...

Keyword(s):

Objective Analysis ◽

Cross Sectional

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A Multicenter Pharmacosurveillance Study for the Evaluation of the Efficacy and Safety of Recombinant Factor VIII in the Treatment of Patients with Hemophilia A

Thrombosis and Haemostasis ◽

10.1055/s-0038-1665410 ◽

1997 ◽

Vol 78 (05) ◽

pp. 1352-1356 ◽

Cited By ~ 45

Author(s):

Emel Aygören-Pürsün ◽

Inge Scharrer ◽

Keyword(s):

Factor Viii ◽

Hemophilia A ◽

Parvovirus B19 ◽

Subjective Evaluation ◽

Recombinant Factor Viii ◽

Fviii Inhibitor ◽

Previously Treated Patients ◽

Previously Treated ◽

Bleeding Episodes ◽

Recombinant Fviii

SummaryIn this open multicenter study the safety and efficacy of recombinant factor VIII (rFVIII) was assessed in 39 previously treated patients with hemophilia A (factor VIII basal activity ≤15%).Recombinant FVIII was administered for prophylaxis and treatment of bleeding episodes and for surgical procedures. A total of 3679 infusions of rFVIII were given. Efficacy of rFVIII as assessed by subjective evaluation of response to infusion and mean annual consumption of rFVIII was comparable to that of plasma derived FVIII concentrates. The incremental recovery of FVIII (2.4 ± 0,83%/IU/kg, 2.12 ± 0.61%/IU/kg, resp.) was within the expected range. No clinical significant FVIII inhibitor was detected in this trial. Five of 16 susceptible patients showed a seroconversion for parvovirus B19. However, the results are ambiguous in two cases and might be explained otherwise in one further case. Thus, in two patients a reliable seroconversion for parvovirus B19 was observed.

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Recognition of classroom student state features based on deep learning algorithms and machine learning

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189232 ◽

2020 ◽

pp. 1-12

Author(s):

Hu Jingchao ◽

Haiying Zhang

Keyword(s):

Deep Learning ◽

Feature Recognition ◽

Subjective Evaluation ◽

Recognition Algorithm ◽

Video Data ◽

State Recognition ◽

Detection Model ◽

State Classification ◽

Intelligent Models ◽

Model Recognition

The difficulty in class student state recognition is how to make feature judgments based on student facial expressions and movement state. At present, some intelligent models are not accurate in class student state recognition. In order to improve the model recognition effect, this study builds a two-level state detection framework based on deep learning and HMM feature recognition algorithm, and expands it as a multi-level detection model through a reasonable state classification method. In addition, this study selects continuous HMM or deep learning to reflect the dynamic generation characteristics of fatigue, and designs random human fatigue recognition experiments to complete the collection and preprocessing of EEG data, facial video data, and subjective evaluation data of classroom students. In addition to this, this study discretizes the feature indicators and builds a student state recognition model. Finally, the performance of the algorithm proposed in this paper is analyzed through experiments. The research results show that the algorithm proposed in this paper has certain advantages over the traditional algorithm in the recognition of classroom student state features.

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