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Additional file 1: Table S1. CAPQCH items. Table S2. The inter-rater reliability of criteria between rater A and raters 1–14 for three sets of prescriptions using Cohen’s Kappa statistics.

Background: Scant evidence exists among the different psychological issues between patients with breast cancer and their spouses. The objective of our study was to develop the measuring instrument testing psychological reaction and compare the difference in psychological reaction between patients with breast cancer and their spouses during the period of diagnosis and treatment.Method: The semi-structured interview guideline was guided by the psychological stress model. In-depth interviews were conducted among patients with breast cancer and their spouses. Qualitative data was used to establish the item pool for the psychological reaction. Delphi method was used for item modifications. The items were conducted to find common factors through exploration factor analysis. Comparing the differences of common factors through t-test between patients with breast cancer and their spouses.Results: Five couples were interviewed directed by the semi-structured interview guideline. About 38 items were reserved to formulate the questionnaire through the Delphi method. A total of 391 respondents (216 patients and 175 spouses) were recruited to complete the questionnaire. Two common structures were found through exploration factor analysis, which was named as reaction to role and body image change and negative coping reaction. The t-test found that the dimension of reaction to role and body image change (95% CI = 2.34–5.01, p < 0.001) reflects the difference between patients with breast cancer and their spouses.Conclusion: The reactions to role and body image change between patients with breast cancer and their spouses are different during the period of diagnosis and treatment. Clinical workers should pay attention to the different reactions and help couples deal with breast cancer smoothly.

Because of the problem of uneven energy consumption in a computer network, the theory of artificial intelligence technology is introduced. Based on the analysis of energy balance computer networks, artificial intelligence technology is applied to the research of energy balance in the computer network. Experiments show that this method enables better cooperation between the nodes of the computer network and maximizes the life cycle of the computer network.

Weijian Li,1,* Yang Zhang,1,2,* Youjian Li,1,3,* Yuepeng Cao,4 Jun Zhou,1 Zhongxu Sun,1 Wanke Wu,5 Xiaofang Tan,5 Yang Shao,5 Kaipeng Xie,5,6 Xiang Yan1,2 1Department of Nephrology and Urology, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, People’s Republic of China; 2Department of Urology, Drum Tower Hospital, Medical School of Nanjing University, Institute of Urology, Nanjing University, Nanjing, People’s Republic of China; 3Department of Urology Surgery, The People’s Hospital of Xuancheng City, Xuancheng, People’s Republic of China; 4Department of Critical Care Medicine, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, Nanjing, People’s Republic of China; 5Nanjing Maternity and Child Health Care Institute, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, The Affiliated Obstetrics and Gynaecology Hospital of Nanjing Medical University, Nanjing, People’s Republic of China; 6Department of Women’s Health Care, The Affiliated Obstetrics and Gynaecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiang YanDepartment of Nephrology and Urology, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, People’s Republic of ChinaEmail yanxiang@zju.edu.cnKaipeng XieNanjing Maternity and Child Health Care Institute, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing 210004, People’s Republic of ChinaTel/Fax +86-25-5222-6264Email kaipengxienjmu@163.comBackground: Peptide drugs provide promising regimes in bladder cancer. In order to identify potentialbioactive peptides involved in bladder cancer, we performed the present study.Methods: Liquid chromatography/mass spectrometry assay was used to compare the endogenous peptides between bladder cancer and normal control. The potential biological functions of these dysregulated peptides are assessed by GO analysis and KEGG pathway analysis of their precursors. The SMART and UniProt databases are used to identify the sequences of the dysregulated peptides located in the functional domains. The Open Targets Platform database was used to investigate the precursors related to metabolic diseases.Results: A total of 9 up-regulated peptides and 110 down-regulated peptides in bladder cancer compared with normal control were identified (fold change > 1.2, P < 0.05). The MW of these dysregulated peptides ranged from 500 Da to 2500 Da and the MW of all identified peptides was below 3500 Da. The GO and KEGG pathway analysis indicated that these dysregulated peptides could play an important role in bladder cancer. Our further analysis revealed that 45HFNPRFNAHGDAN 57 derived from LGALS1 and those peptides derived from P4HB and SERPINA1 might be the promising diagnostic biomarkers and therapeutic targets of bladder cancer.Conclusion: In the present study, we have identified the profile of the peptides significantly dysregulated in bladder cancer. Moreover, using bioinformatic analysis, we found the peptides derived from LGALS1, P4HB and SERPINA1 could be the promising diagnostic biomarkers and therapeutic targets of bladder cancer.Keywords: peptide, therapeutic target, progression, bladder cancer