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7 results on '"Rongxi Chen"'

1. Predicting survival in patients with buccal cancer: A study based on SEER database and external validation in China

Author

Yongmei Tan, Guoxing Huang, Jintao Hu, Shaoping Zhao, Yanyan Li, Zhihui Wen, Liansheng Wang, Suling Chen, Rongxi Chen, Haotian Cao, and Jinsong Li

Subjects
buccal mucosa cancer, cancer‐specific survival, nomogram, overall survival, prognosis, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Objective Buccal mucosa cancer (BMC) is one of the most common oral cancers and has poor prognosis. The study aimed to develop and validate nomograms for predicting the 1‐, 3‐, and 5‐year overall survival (OS) and cancer‐specific survival (CSS) of BMC patients. Methods We collected and reviewed information on BMC patients diagnosed between 2004 and 2019 from the Surveillance Epidemiology and End Results database. Two nomograms were developed and validated to predict the OS and CSS based on predictors identified by univariate and multivariate Cox regression. An extra external validation was further performed using data from Sun Yat‐sen Memorial Hospital (SYSMH). Results A total of 3154 BMC patients included in this study were randomly assigned to training and validation groups in a 2:1 ratio. Independent prognostic predictors were identified, confirmed, and fitted into nomograms for OS and CSS, respectively. The C‐indices are 0.767 (Training group OS), 0.801 (Training group CSS), 0.763 (Validation group OS), and 0.781 (Validation group OS), respectively. Moreover, the nomograms exhibited remarkable precision in forecasting and significant clinical significance, as evidenced by receiver operating characteristic (ROC) curves, calibration curves, and decision curve analyses (DCA). The final validation using our data from SYSMH also showed high accuracy and substantial clinical benefits within the nomograms. The C‐indices are 0.849 (SYSMH group OS) and 0.916 (SYSMH group CSS). These indexes are better than tumor, node, and metastasis stage based on prediction results. Conclusions The nomograms developed with great performance predicted 1‐, 3‐, and 5‐year OS and CSS of BMC patients. Use of the nomograms in clinical practices shall bring significant benefits to BMC patients.

Published
2024
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3. Research and Realization of a SVS Algorithm Based on STFT and NDFT

Author

Yubin Zhong, Rongxi Chen, Zhixing Luo, Xueliang Luo, Guoli Zheng, and Yiming Gao

Subjects
Harmonic analysis, symbols.namesake, Fourier transform, Computer science, Speech recognition, Harmonics, symbols, Short-time Fourier transform, Pitch detection algorithm, Speech processing, Algorithm, Discrete Fourier transform, Time–frequency analysis
Abstract

In this paper, a singing voice splitting (SVS) system is researched and implemented by short-time Fourier transform (STFT) and Nonuniform Discrete Fourier Transform (NDFT). Specifically, there are four processes: T-F decomposition, main pitch detection, T-F information extraction and singing synthesis. Firstly, choose STFT as T-F analysis tool. Then, use NDFT realizing main pitch detection. Next, extract various order harmonics of each frame of music signals, getting the short-time spectrum. Finally, gain singing signals from the short-time spectrum by overlap-add (OLA) algorithm. The experiment result shows that the SVS system based on STFT and NDFT can effectively split singing signals.

Published
2011

4. Stochastic Single Machine Scheduling to Minimize the Weighted Number of Tardy Jobs

Author

Rongxi Chen and Yang Li

Subjects
Mathematical optimization, Single-machine scheduling, Due date, Computer science, Scheduling (computing)
Abstract

A single machine stochastic scheduling problems with the jobs’ processing times are considered the random of uniform distribution and the objective is to find an optimal schedule to minimize the expectation of the weighted numbers of tardy jobs from a common due date. By theoretical analysis, the problem formulation of the expectation of the weighted numbers of tardy jobs can be given. For the two cases (1) the weights of jobs are equal and (2) the weights of jobs are proportional to their processing times, the SEPT (shortest expected processing time first) is optimal. Joint use solution the SEPT and the LEPT (longest expected processing time first) is optimal in the case of the expected processing time is non-proportional to weighty of the jobs. The optimality of the algorithms is proved.

Published
2010

5. Realization and Optimization of the Flow in ERP System for RCI

Author

Rongxi Chen, Ruoning Xu, Yubin Zhong, and Zhuowu Lin

Subjects
Process management, Computer science, business.industry, Enterprise life cycle, Interdepartmental Relations, Enterprise integration, Perfect competition, Enterprise information system, business, Realization (systems), Enterprise resource planning, Enterprise planning system
Abstract

Enterprise Resource Planning (ERP) system provides a comprehensive integrated solution for enterprise informationization construction ; the actual worker custom think this kind of comprehensive integrated solution already is the optimizes method of the enterprise flow and a few scholars study the issue from the view of optimization so far. This article proposes the stock control models from the perspective of optimized the flow of the ERP system base on Retail Circulation Industry (RCI) and a large-scale chain enterprise. Through this model, enterprises can streamline the logistics interdepartmental relations, and enhance management capabilities for enterprises in the competitive market.

Published
2009

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