Lan Sun¹, Chen Ge¹, Xin Huang¹, Yingjie Wu^1,*, Yan Gao²

CMC-Computers, Materials & Continua, Vol.58, No.1, pp. 61-78, 2019, DOI:10.32604/cmc.2019.03744

Abstract Continuous response of range query on steaming data provides useful information for many practical applications as well as the risk of privacy disclosure. The existing research on differential privacy streaming data publication mostly pay close attention to boosting query accuracy, but pay less attention to query efficiency, and ignore the effect of timeliness on data weight. In this paper, we propose an effective algorithm of differential privacy streaming data publication under exponential decay mode. Firstly, by introducing the Fenwick tree to divide and reorganize data items in the stream, we achieve a constant time complexity… More >

Zhihua Xia^1,*, Lihua Lu¹, Tong Qiu¹, H. J. Shim¹, Xianyi Chen¹, Byeungwoo Jeon²

CMC-Computers, Materials & Continua, Vol.58, No.1, pp. 27-43, 2019, DOI:10.32604/cmc.2019.02688

Abstract Content based image retrieval (CBIR) techniques have been widely deployed in many applications for seeking the abundant information existed in images. Due to large amounts of storage and computational requirements of CBIR, outsourcing image search work to the cloud provider becomes a very attractive option for many owners with small devices. However, owing to the private content contained in images, directly outsourcing retrieval work to the cloud provider apparently bring about privacy problem, so the images should be protected carefully before outsourcing. This paper presents a secure retrieval scheme for the encrypted images in the… More >

Menghua Luo^1,2, Ke Wang¹, Zhiping Cai^1,*, Anfeng Liu³, Yangyang Li⁴, Chak Fong Cheang⁵

CMC-Computers, Materials & Continua, Vol.58, No.1, pp. 15-26, 2019, DOI:10.32604/cmc.2019.03708

Abstract The extreme imbalanced data problem is the core issue in anomaly detection. The amount of abnormal data is so small that we cannot get adequate information to analyze it. The mainstream methods focus on taking fully advantages of the normal data, of which the discrimination method is that the data not belonging to normal data distribution is the anomaly. From the view of data science, we concentrate on the abnormal data and generate artificial abnormal samples by machine learning method. In this kind of technologies, Synthetic Minority Over-sampling Technique and its improved algorithms are representative More >

Lihua Zhu¹, Yu Wang¹, Lei Wang², Zhiqiang Wu^1,*

CMC-Computers, Materials & Continua, Vol.59, No.3, pp. 1015-1026, 2019, DOI:10.32604/cmc.2019.05656

Abstract The performance of the transfer alignment has great impact on inertial navigation systems. As the transfer alignment is generally implemented using a filter to compensate the errors, its accuracy, rapidity and anti-disturbance capability are key properties to evaluate the filtering process. In terms of the superiority in dealing with the noise, H∞ filtering has been used to improve the anti-disturbance capability of the transfer alignment. However, there is still a need to incorporate system uncertainty due to various dynamic conditions. Based on the structural value theory, a robustness stability analysis method has been proposed for More >

Wesley Baas, Blake O’Connor, Ahmed El-Zawahry

Canadian Journal of Urology, Vol.25, No.1, pp. 9217-9219, 2018

Abstract A 57-year-old African American male presented with vague abdominal pain and bilateral flank pain. The patient was found to have bilateral hydronephrosis and significant renal function impairment secondary to pelvic lipomatosis. Pelvic lipomatosis represents a clinically-diagnosed unique cause of ureteral obstruction and subsequent renal impairment. We present a case report of newly diagnosed pelvic lipomatosis, the clinical and imaging characteristics for diagnosis, and its conservative management with serial ureteral stent exchanges. More >

Brian J. McArdle, Patricia Vidal, Sarah P. Psutka, Courtney M.P. Hollowell

Canadian Journal of Urology, Vol.25, No.1, pp. 9214-9216, 2018

Abstract It is rare to see an adult presenting with exstrophy of the bladder. Malignant conversion in exstrophy occurs in 4%, with adenocarcinoma as the most common histopathology. We report the first case of metastatic high grade urothelial carcinoma with squamous and sarcomatoid differentiation arising from undiagnosed, closed bladder exstrophy in a female at advanced age with associated bilateral deep vein thrombosis and clot retention. The patient developed clinical progression of disease despite neoadjuvant gemcitabine-cisplatin and salvage (or palliative) radiotherapy. To the best of our knowledge, this is the first reported case of a primary urothelial More >

Nicholas H. Chakiryan¹, Phil W. Raess², Kevin Turner², Jason C. Hedges¹, Jen-Jane Liu¹

Canadian Journal of Urology, Vol.25, No.1, pp. 9210-9213, 2018

Abstract Malignant Leydig cell tumor is a rare entity that has been previously described as rapidly progressive and uniformly fatal. We present the case of a malignant Leydig cell tumor that presented 14 years after orchiectomy with an isolated retroperitoneal metastasis. Our patient underwent a retroperitoneal lymph node dissection and has been free of recurrence or progression at 12 months of follow up. Additionally, we describe the symptomatic hormone dysfunction experienced by our patient as a result of his tumor. More >

Ahmed Mohey, Mohamed Alhefnawy, Mostafa Mahmoud, Rabea Gomaa, Tarek Soliman, Shabieb Ahmed, Yasser A. Noureldin

Canadian Journal of Urology, Vol.25, No.1, pp. 9205-9209, 2018

Abstract Introduction: This study aims to assess the conversion rate during fluoroless ureteroscopy (URS) and evaluate its feasibility, safety, and efficacy as a definitive management approach for distal ureteral calculi.
Materials and methods: Between May 2013 and August 2015, patients with radio-opaque distal ureteral stones ≤ 1 cm in size were randomized to undergo either fluoroless-URS or standard URS. Exclusion criteria included prior ureteral surgery, ureteral kinking or stricture, single kidney, additional proximal ureteral or renal stones, uncontrolled coagulopathy, and/or congenital urinary tract anomalies. Patient demographics, stone characteristics, operative data, stone-free status, and complications were compared between the… More >

Bryan D. Hinck¹, Ricardo Miyaoka¹, James E. Lingeman², Dean G. Assimos³, Brian R. Matlaga⁴, Rocky Pramanik⁵, John Asplin⁵, Benjamin Cohen¹, Manoj Monga¹

Canadian Journal of Urology, Vol.25, No.1, pp. 9199-9204, 2018

Abstract Introduction: This study aims to determine whether markers of kidney injury correlate with urinary oxalate excretion. If such a relationship exists, these biomarkers could serve as early predictors of oxalate nephropathy. Gastric bypass surgery for obesity is known to be associated with postoperative hyperoxaluria, which can lead to urolithiasis and renal damage.
Materials and methods: Patients were recruited from four large academic medical centers at least six months after undergoing gastric bypass surgery. Participants provided a spot urine sample for analysis of three established biomarkers of kidney injury: 8-iso-Prostaglandin F_2α, N-acetyl-β-D-glucosaminidase, and neutrophil gelatinase-associated lipocalin. In addition, 24-hour… More >

Jay G. Fuletra¹, Anastasiya Kamenko², Frederick Ramsey³, Daniel D. Eun², Adam C. Reese²

Canadian Journal of Urology, Vol.25, No.1, pp. 9193-9198, 2018

Abstract Introduction: Prior studies suggest that among men with low-grade prostate cancer, African American (AA) men produce less prostate-specific antigen (PSA) than Caucasians. We investigated racial differences in PSA, PSA density (PSAD), and tumor volume among men with prostate cancer, regardless of tumor grade. If present, these differences would suggest that AA men may benefit from different screening, surveillance, and treatment regimens compared to Caucasians.
Materials and methods: We identified men from our institutional prostate cancer database who underwent radical prostatectomy between 2012 and 2015. Clinicopathologic parameters were compared by race. Multivariable linear regression was then performed to… More >