Xiaoping Zhao¹, Jiaxin Wu^1,*, Yonghong Zhang², Yunqing Shi³, Lihua Wang²

CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 223-242, 2018, DOI:10.32604/cmc.2018.02490

Abstract With the rapid development of mechanical equipment, mechanical health monitoring field has entered the era of big data. Deep learning has made a great achievement in the processing of large data of image and speech due to the powerful modeling capabilities, this also brings influence to the mechanical fault diagnosis field. Therefore, according to the characteristics of motor vibration signals (nonstationary and difficult to deal with) and mechanical ‘big data’, combined with deep learning, a motor fault diagnosis method based on stacked de-noising auto-encoder is proposed. The frequency domain signals obtained by the Fourier transform More >

Shengqun Fang¹, Zhiping Cai^1,*, Wencheng Sun¹, Anfeng Liu², Fang Liu³, Zhiyao Liang⁴, Guoyan Wang⁵

CMC-Computers, Materials & Continua, Vol.55, No.3, pp. 419-433, 2018, DOI:10.3970/cmc.2018.02289

Abstract By using efficient and timely medical diagnostic decision making, clinicians can positively impact the quality and cost of medical care. However, the high similarity of clinical manifestations between diseases and the limitation of clinicians’ knowledge both bring much difficulty to decision making in diagnosis. Therefore, building a decision support system that can assist medical staff in diagnosing and treating diseases has lately received growing attentions in the medical domain. In this paper, we employ a multi-label classification framework to classify the Chinese electronic medical records to establish corresponding relation between the medical records and disease… More >

Leonard G. Gomella, Mark J. Mann, Ryan C. Cleary, Scott G. Hubosky, Demetrius H. Bagley, Adeep B. Thumar, Peter A. McCue, Costas D. Lallas, Edouard J. Trabulsi

Canadian Journal of Urology, Vol.24, No.1, pp. 8620-8626, 2017

Abstract Introduction: We evaluated the UroVysion (Abbott Molecular, IL, USA) fluorescence in situ hybridization (FISH) assay for the diagnosis of urothelial cancer in patients diagnosed with or suspected to have bladder, upper tract urothelial carcinoma (UTUC), and combined upper and lower tract urothelial carcinoma (BC).
Materials and methods: A single institution retrospective analysis comparing sensitivity, specificity, positive predictive value, and negative predictive values for FISH and urinary cytology. FISH within 6 months of endoscopic evaluation were obtained from outpatient voided urine samples. Our institutional pathology department confirmed pathologic disease from specimens obtained during endoscopic evaluations for lower tract… More >

Kyle J. Ericson¹, Hannah C. Wenger², Alexandre M. Rosen³, Kyle J. Kiriluk⁴, Glenn S. Gerber⁵, Gladell P. Paner⁶, Scott E. Eggener⁵

Canadian Journal of Urology, Vol.24, No.2, pp. 8714-8720, 2017

Abstract Introduction: To report the incidence and characteristics of cancer following a diagnosis of atypical small acinar proliferation (ASAP) and comment on current clinical practice recommendations.
Materials and methods: We reviewed patients that underwent prostate biopsy between 2008 and 2013 at a single institution. Men with ASAP without previous cancer were included. Clinicopathologic features including prostate-specific antigen (PSA), presence of ASAP or cancer, tumor volume, number of involved cores, and Gleason score were analyzed in men that received a repeat prostate biopsy.
Results: Of 1450 men, ASAP was found in 75 (5%) patients. Repeat biopsy was performed in 49… More >

Hitesh Agrawal^1,2, Oriana K. Wright³, Kathleen E. Carberry^1,4, S. Kristen Sexson Tejtel^1,2, Carlos M. Mery^1,5, Silvana Molossi^1,2

Congenital Heart Disease, Vol.12, No.6, pp. 721-725, 2017, DOI:10.1111/chd.12473

Abstract Background: Long-term outcome data on patients with anomalous aortic origin of coronary arteries (AAOCA) is sparse and they are often managed in a nonuniform manner. There is subjective perception of anxiety and unmet needs in these patients and families.
Methods: An online survey of 13 questions was sent to 74 families of patients with AAOCA between May and October 2015. Descriptive statistics were performed.
Results: A total of 31 (47%) families responded. Of these, 27 expressed the need to interact with other patients/families with AAOCA. The majority were interested in either face-to-face meetings (77%) or online support groups… More >

Ian S. Rogers^1,2, Jennifer A. Tremmel¹, Ingela Schnittger¹

Congenital Heart Disease, Vol.12, No.5, pp. 619-623, 2017, DOI:10.1111/chd.12499

Abstract A myocardial bridge is a segment of a coronary artery that travels into the myocardium instead of the normal epicardial course. Although it is general perception that myocardial bridges are normal variants, patients with myocardial bridges can present with symptoms, such as exertional chest pain, that cannot be explained by a secondary etiology. Such patients may benefit from individualized medical/ surgical therapy. This article describes the prevalence, clinical presentation, classification, evaluation, and management of children and adults with symptomatic myocardial bridges. More >

William N. Evans^1,2, Ruben J. Acherman^1,2, Michael L. Ciccolo^1,3, Sergio A. Carrillo^1,3, Gary A. Mayman^1,2, Carlos F. Luna^1,2, Robert C. Rollins^1,2, William J. Castillo^1,2, Alvaro Galindo^1,2, Abraham Rothman^1,2, John A. Alexander^1,2, Tina W. Kwan^1,2, Humberto Restrepo^1,2

Congenital Heart Disease, Vol.12, No.5, pp. 583-587, 2017, DOI:10.1111/chd.12487

Abstract Objective: We hypothesized that a right aortic arch in situs solitus, with or without an associated cardiovascular malformation, is often associated with a vascular ring.
Methods: From those born in Southern Nevada between March 2012 and March 2017, we identified 50 (3.6 per 10,000 live births) with a right aortic arch and situs solitus. From the 50 patients, 6 did not meet inclusion criteria for further analysis.
Results: Of the 44 remaining, 33 (75%) had a vascular ring. Of the 33 with a vascular ring, 26 (79%) occurred with an isolated right aortic arch, and 7 (21%) had More >

Rahul Kumar Sharma^*1, V. Sugumaran¹, Hemantha Kumar², Amarnath M³

Structural Durability & Health Monitoring, Vol.11, No.1, pp. 1-16, 2017, DOI:10.3970/sdhm.2017.012.001

Abstract Most of the machineries in small or large scale industry have rotating element supported by bearings for rigid support and accurate movement. For proper functioning of machinery, condition monitoring of the bearing is very important. In present study sound signal is used to continuously monitor bearing health as sound signals of rotating machineries carry dynamic information of components. There are numerous studies in literature that are reporting superiority of vibration signal of bearing fault diagnosis. However, there are very few studies done using sound signal. The cost associated with condition monitoring using sound signal (Microphone)… More >

A. Joshuva¹, V. Sugumaran²

Structural Durability & Health Monitoring, Vol.11, No.1, pp. 69-90, 2017, DOI:10.3970/sdhm.2017.012.069

Abstract Renewable energy sources are considered much in energy fields because of the contemporary energy calamities. Among the important alternatives being considered, wind energy is a durable competitor because of its dependability due to the development of the innovations, comparative cost effectiveness and great framework. To yield wind energy more proficiently, the structure of wind turbines has turned out to be substantially bigger, creating conservation and renovation works troublesome. Due to various ecological conditions, wind turbine blades are subjected to vibration and it leads to failure. If the failure is not diagnosed early, it will lead… More >

Alamelu Manghai T.M.¹, Jegadeeshwaran R², Sugumaran V.³

Structural Durability & Health Monitoring, Vol.11, No.1, pp. 43-67, 2017, DOI:10.3970/sdhm.2017.012.043

Abstract Diagnosis is the recognition of the nature and cause of a certain phenomenon. It is generally used to determine cause and effect of a problem. Machine fault diagnosis is a field of finding faults arising in machines. To identify the most probable faults leading to failure, many methods are used for data collection, including vibration monitoring, thermal imaging, oil particle analysis, etc. Then these data are processed using methods like spectral analysis, wavelet analysis, wavelet transform, short-term Fourier transform, high-resolution spectral analysis, waveform analysis, etc., The results of this analysis are used in a root More >