Peng Bao

ORCID: 0000-0003-1646-1859
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Research Areas
  • Smart Grid Energy Management
  • Power Line Communications and Noise
  • Advanced MIMO Systems Optimization
  • Optimal Power Flow Distribution
  • Cancer Risks and Factors
  • Global Cancer Incidence and Screening
  • Microgrid Control and Optimization
  • Gastric Cancer Management and Outcomes
  • Lung Cancer Research Studies
  • MicroRNA in disease regulation
  • Smart Grid Security and Resilience
  • Cutaneous Melanoma Detection and Management
  • Effects of Radiation Exposure
  • Colorectal Cancer Screening and Detection
  • Electric Power System Optimization
  • Advanced Battery Materials and Technologies
  • Nonmelanoma Skin Cancer Studies
  • ZnO doping and properties
  • Telecommunications and Broadcasting Technologies
  • Advancements in Battery Materials
  • Medical Research and Treatments
  • Wireless Communication Networks Research
  • Multiple and Secondary Primary Cancers
  • Nail Diseases and Treatments
  • Cholangiocarcinoma and Gallbladder Cancer Studies

Zhengzhou University
2025

Southeast University
2023-2024

Medical College of Wisconsin
2024

Chinese PLA General Hospital
2023

Shanghai Municipal Center For Disease Control Prevention
2009-2020

Objective: To study the risk of malnutrition and related factors cancer patients in community Shanghai. Methods: From October 2018 to January 2019, four communities, Pengpu New Village Street, Town, Jiangning Road Caojiadu from 14 communities Jing 'an District, Shanghai City, were selected by using a random cluster sampling method based on Cancer Registration reporting system. All cases malignant tumors benign central nervous system included. A total 4 396 questionnaires distributed. After...

10.3760/cma.j.cn112150-20200831-01170 article EN 2020-12-06

The dormancy technology of 5G base stations (gNBs) can achieve rapid power reduction in millisecond timescale, making it ideal potential demand response resource for primary frequency control (PFC). However, due to the short is challenging estimate gNBs dispatchable capacity during PFC process. In this regard, paper proposes a novel estimation method gNB population based on their statistical characteristics. proposed does not rely low-latency communication infrastructure but accurately...

10.1109/icasi60819.2024.10547941 article EN 2024-04-17

e12014 Background: Gastric cancer (GC) is one of the leading cancers both in terms incidence and mortality China. No large population-based epidemiological study clinical characteristics survival GC has been reported Methods: The data for this were derived from Shanghai Cancer Registry, compiled by Center Disease Control Prevention (Shanghai CDC). Consecutive, non-selected patients diagnosed with between January 1, 2002 December 31, 2003 included analyses. All newly any hospital encouraged...

10.1200/jco.2011.29.15_suppl.e12014 article EN Journal of Clinical Oncology 2011-05-20

e12015 Background: There is limited published information describing the disease burden of breast cancer in urban Shanghai. Such important for planning control and prevention activities. The objective this analysis was to examine long-term mortality trends women from 1973 2007 Methods: Female deaths number at risk were collected respectively by Vital Statistics Registry Shanghai Center Disease Control Prevention Municipal Bureau Public Security Time age-standardized rate analyzed using...

10.1200/jco.2011.29.15_suppl.e12015 article EN Journal of Clinical Oncology 2011-05-20

Abstract #6082 INTRODUCTION: Breast Cancer (BrCa) Mortality trends between 1950 – 2005 were reviewed the Western (WEST) and Eastern Asian (EAST) countries, with objective to gain understanding therapeutic diagnostic interventions underlying epidemiology factors determining BrCa outcomes.
 METHODOLOGY: We compared mortality in WEST (Canada, UK, USA) EAST (Japan China-Shanghai). Data obtained from WHO - IARC, Lyon USA, Japan); Shanghai Registry (China-Shanghai). analyzed...

10.1158/0008-5472.sabcs-6082 article EN Cancer Research 2009-01-01

Comprehensive application of bioinformatics analysis and experimental exploration identifying miR-34a/CDK6 axis as the key regulators for radiation-induced lung injury progression

10.61186/ijrr.21.4.699 article EN cc-by-nc International Journal of Radiation Research 2023-10-01
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