Come Tholomier^1,2, Felix Couture^1,3, Khaled Ajib¹, Felix Preisser^4,5, Helen Davis Bondarenko¹, Cristina Negrean¹, Pierre Karakiewicz^1,4, Assaad El-Hakim⁶, Kevin C. Zorn¹

Canadian Journal of Urology, Vol.26, No.4, pp. 9843-9851, 2019

Abstract Introduction: Robotic-assisted radical prostatectomy (RARP) has grown to be the predominant global surgical approach to treat localized prostate cancer. However, there is still limited access to robotic technology and little data from Canadian cohorts. Herein, we report on our oncological and functional outcomes after 10 years of surgical experience.
Materials and methods: Prospective data from 1,034 RARP cases performed by two high-volume experienced surgeons at two academic centers were collected from October 2006 to June 2017. Preoperative characteristics, surgical, oncological, and functional outcomes were assessed up to 72 months postoperative.
Results: D’Amico risk distribution was 26.1%, 59.8%, and… More >

Stephanie Rodriguez, Andrew D. Sparks, Hanbing Zhou, Richard L. Amdur, Jianqing Lin

Canadian Journal of Urology, Vol.26, No.5, pp. 9946-9951, 2019

Abstract Introduction: To evaluate the impact of prostate cancer screening guidelines on different racial and ethnic populations.
Materials and methods: Data was collected from the 2005-2015 Surveillance, Epidemiology, and End Results (SEER) program. Incidence of prostate cancer diagnosis was categorized and analyzed by stage, race/ethnicity, and age group. Appropriate univariate and multivariable statistical analyses were performed.
Results: The odds of being diagnosed with regional-stage prostate cancer in 2013-2015 were 1.3 times higher for black men, 1.3 times higher for Asian American/Pacific Islander (AAPI) men, and 1.2 times higher for white men when compared to 2005-2008. The odds of being… More >

Randeep Singh^* , Masataka Mochizuki, Koichi Mashiko, Thang Nguyen^*

Frontiers in Heat and Mass Transfer, Vol.13, pp. 1-6, 2019, DOI:10.5098/hmt.13.24

Abstract In the present paper, data center energy conservation systems based on the heat pipe heat exchanger (HPHE) pre-cooler to downsize the chiller capacity and working time has analysed, designed and discussed. The proposed system utilizes thermal diode character of heat pipe to transfer waste heat from source (pre-cooler coolant) to ambient and have been analyzed as per metrological conditions in New York. HPHE Pre cooler with 118 heat pipes and designed for 30 °C ambient temperature has been designed to effectively dissipate 30 kW or more datacenter heat throughout the year. The payback period of More >

Chamseddine Zaki¹ , Mohamed Ayet^1,2, Allah Bilel Soussi²

Revue Internationale de Géomatique, Vol.29, No.3, pp. 255-262, 2019, DOI:10.3166/rig.2019.00086

Abstract A conceptual spatiotemporal data model must be able to offer users a semantic richness of expression to meet their diverse needs concerning the modeling of spatio-temporal data. The conceptual spatiotemporal data model must be able to represent the objects, relationships and events that can occur in a field of study, track data history, support the multirepresentation of these data, and represent temporal and spatial data with two and three dimensions features. The model must also allow the assignment of different types of constraints to relations and provide a complete orthogonality between dimensions and concepts. The More >

Shu Gao^a,b,*, Zhen Wang^a, Liangchen Chen^a

Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 683-689, 2019, DOI:10.31209/2018.100000061

Abstract The explosive growth of data produced by internet of things has contributed to the abundance of data. Since then, efficient indexing and querying techniques for data retrieval has become a major challenge. Bitmap index and its extension techniques, which involve a bit sequence that represents a specified property and indicates the data items that satisfies this property, are well-known methods to improve processing time for complex and interactive queries on the read-mostly or append-only data. This paper proposes an improved bitmap index technique, named Sliced-Interval Bitmap Index (SI Bitmap Index), which is efficient in both More >

Erna Qi^1,∗, Min Deng²

Computer Systems Science and Engineering, Vol.34, No.4, pp. 237-248, 2019, DOI:10.32604/csse.2019.34.237

Abstract The application of computer technology, especially the emergence of some statistical software and graphic presentation technology, has enabled many areas of research that require a large amount of data analysis. This paper discusses the relationship between R&D investment and corporate financial performance, and further studies the effect of environmental regulations on this relationship through these technologies. The unbalanced panel data of listed companies from 2007 to 2016 were used as a sample, and then corresponding regression modelswere established through logical reasoning. Empirical analysis has found that there is an inverted U-shaped relationship between R&D investment… More >

Alberto Fernández Oliva¹, Francisco Maciá Pérez², José Vicente Berná-Martinez^2,*, Miguel Abreu Ortega³

Computer Systems Science and Engineering, Vol.34, No.3, pp. 131-144, 2019, DOI:10.32604/csse.2019.34.131

Abstract This study presents a method for the detection of outliers based on the Variable Precision Rough Set Model (VPRSM). The basis of this model is the generalisation of the standard concept of a set inclusion relation on which the Rough Set Basic Model (RSBM) is based. The primary contribution of this study is the improvement in detection quality, which is achieved due to the generalisation allowed by the classification system that allows a certain degree of uncertainty. From this method, a computationally efficient algorithm is proposed. The experiments performed with a real scenario and a More >

Vengadeswaran^∗, Balasundaram

Computer Systems Science and Engineering, Vol.34, No.1, pp. 47-60, 2019, DOI:10.32604/csse.2019.34.047

Abstract The tremendous growth of data being generated today is making storage and computing a mammoth task. With its distributed processing capability Hadoop gives an efficient solution for such large data. Hadoop’s default data placement strategy places the data blocks randomly across the nodes without considering the execution parameters resulting in several lacunas such as increased execution time, query latency etc., Also, most of the data required for a task execution may not be locally available which creates data-locality problem. Hence we propose an innovative data placement strategy based on dependency of data blocks across the More >

DU Zhen-Yuan

Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 847-853, 2019, DOI:10.31209/2019.100000088

Abstract Big data’s fast growth and development has triggered the attention of academic circles. Most of the studies are focusing on the concept of personal data, the definition of data rights, etc. In China, the current status of laws protecting personal data is still scarce and incomplete, relying on specific regulations that are lacking an overall architecture, which has not been efficient in the age of rapid development and application of big data. In the western countries with relatively mature personal data supervision system, the supervision principle is centered on the data subject, and it is More >

Gao Xiaolong¹, Li Chunguang², Qiao Yunhong³

Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 775-783, 2019, DOI:10.31209/2019.100000081

Abstract Plagued by consistent temperature cracks caused by hydration heat of mass concrete construction, a lot of research on concrete DAMS and other large hydraulic concrete, the theory also more deeply, and for large span bridge foundation pile caps, corresponding much smaller size of mass concrete, the related research is less. This article obtains from the cooling water pipes "embedded" scheme optimization, based on the new Tianjin Haihe river bridge project as the engineering background, construction of the concrete hydration heat temperature rise theory model was set up, with the help of theory formula, the numerical More >