Gaowu Hu^*, Ye Xu^*, Wenquan Chen^*, Jiandong Wang^†, Chunying Zhao^†1, Ming Wang^*1

Oncology Research, Vol.24, No.6, pp. 455-461, 2016, DOI:10.3727/096504016X14685034103635

Abstract Breast cancer is a highly prevalent disease affecting women. The association of IQ motif containing GTPaseactivating protein 3 (IQGAP3) and breast cancer is poorly defined. Here we reported that IQGAP3 is a key regulator of cell proliferation and metastasis during breast cancer progression. The expression of IQGAP3 was significantly increased in breast tissues compared to nontumor tissues at both protein and mRNA levels. Furthermore, IQGAP3 had a high expression level in ZR-75-30 and BT474 compared to other breast cancer cell lines. Depletion of IQGAP3 through RNA interference in ZR-75-30 and BT474 significantly inhibited cell proliferation. More >

Kazuyoshi Kawakami^*, Takashi Yokokawa^*, Kazuo Kobayashi^*, Takahito Sugisaki^*, Kenichi Suzuki^*, Mitsukuni Suenaga^†, Kensei Yamaguchi^†, Ayaka Inoue^‡, Yoshiaki Machida^‡, Toshiharu Yamaguchi^†, Toshihiro Hama^*

Oncology Research, Vol.25, No.9, pp. 1625-1631, 2017, DOI:10.3727/096504017X15012905098071

Abstract Adherence has become an important issue in modern oncology treatment. Most studies have included heterogeneous target tumor types, regimens, and therapy settings. Our study focused on capecitabine during capecitabine plus oxaliplatin (XELOX) treatment as an adjuvant therapy for colorectal cancer. The main aims of this study were to evaluate real-life adherence to capecitabine and to investigate candidate factors that might decrease adherence. We studied 338 consecutive patients who received XELOX treatment between December 1, 2011, and April 30, 2015, at the Cancer Institute Hospital of the Japanese Foundation for Cancer Research. Our study assessed adherence… More >

Shuye Lin^*†, Bonan Lin^*, Xiaoyue Wang^*, Yuanming Pan^‡, Qing Xu^*, Jin-Shen He^*, Wanghua Gong^§, Rui Xing^‡, Yuqi He^¶, Lihua Guo^*, Youyong Lu^‡, Ji Ming Wang^†, Jiaqiang Huang^*†

Oncology Research, Vol.25, No.3, pp. 317-329, 2017, DOI:10.3727/096504016X14734735156265

Abstract The ATPase H⁺/K⁺ Transporting Beta Subunit (ATP4B) encodes the b subunit of the gastric H⁺, K⁺ -ATPase, which controls gastric acid secretion and is therefore a target for acid reduction. Downregulation of ATP4B was recently observed in human gastric cancer (GC) without known mechanisms. In the present study, we demonstrated that ATP4B expression was decreased in human GC tissues and cell lines associated with DNA hypermethylation and histone hypoacetylation of histone H3 lysine 9 at its intragenic region close to the transcriptional start site. The expression of ATP4B was restored in GC cell lines by treatment with… More >

Gustavo Foronda^1,2, Vanessa Ferreira Amorim de Melo^2,3,*, Claudia Regina Pinheiro de Castro Grau⁴, Ingrid Magatti Piva¹, Glaucia Maria Penha Tavares⁴, Ana Cristina Sayuri Tanaka¹, Nana Miura¹

Congenital Heart Disease, Vol.18, No.6, pp. 649-656, 2023, DOI:10.32604/chd.2023.027987

Abstract Background: Children with congenital heart disease (CHD), even after surgical approaches, and especially those who undergo staged procedures in the first months of life, remain vulnerable to readmissions and complications, requiring very close monitoring and differentiated intervention strategies. Methods: Descriptive and exploratory study, of the experience report type, which presents the process of building the high-risk outpatient clinic for complex congenital heart diseases (AAR) at the Instituto do Coração (InCor). Results: Report of the path taken to structure the AAR, demonstrating the organization, interface with the multidisciplinary team, admission and discharge criteria, training, and patient profile.… More >

Yiteng Zang¹, Biyun Xu², Sizhen Chen¹, Grace Mutale¹, Qiuyun Cao^3,*, Bingwei Chen^1,*

International Journal of Mental Health Promotion, Vol.25, No.12, pp. 1287-1302, 2023, DOI:10.32604/ijmhp.2023.042584

Abstract Psychosis has increasingly become a social problem, emphasizing the need to understand the relationship between mental disorders and personality. This study aimed to investigate the relationship between mental disorders and personality among psychiatric outpatients based on real-world data. Symptom Checklist 90 (SCL-90) and Eysenck Personality Questionnaire (EPQ) were used to evaluate the personality and psychopathological symptoms of patients (n = 8409) in the Psychiatric Outpatient Department at Nanjing Drum Tower Hospital. t-test was used to compare scores between patients and national norms. Pearson’s correlation coefficient and path analysis were used to explore the relationship between mental… More >

Fady Samann^1,*, Shavan Askar²

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2715-2734, 2023, DOI:10.32604/cmc.2023.043580

Abstract Clustering schemes in vehicular networks organize vehicles into logical groups. They are vital for improving network performance, accessing the medium, and enabling efficient data dissemination. Most schemes rely on periodically broadcast hello messages to provide up-to-date information about the vehicles. However, the periodic exchange of messages overwhelms the system and reduces efficiency. This paper proposes the Flag-based Vehicular Clustering (FVC) scheme. The scheme leverages a combination of Fitness Score (FS), Link Expiration Time (LET), and clustering status flags to enable efficient cluster formation in a hybrid manner. The FVC relies on the periodic broadcast of… More >

Fady Samann^1,2,*, Shavan Askar³

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 2421-2444, 2024, DOI:10.32604/cmes.2023.031265

Abstract Implementing machine learning algorithms in the non-conducive environment of the vehicular network requires some adaptations due to the high computational complexity of these algorithms. K-clustering algorithms are simplistic, with fast performance and relative accuracy. However, their implementation depends on the initial selection of clusters number (K), the initial clusters’ centers, and the clustering metric. This paper investigated using Scott’s histogram formula to estimate the K number and the Link Expiration Time (LET) as a clustering metric. Realistic traffic flows were considered for three maps, namely Highway, Traffic Light junction, and Roundabout junction, to study the… More >

Jiahao Wen, Zhijian Wang^*

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 749-765, 2023, DOI:10.32604/cmes.2023.023865

Abstract Since the existing prediction methods have encountered difficulties in processing the multiple influencing factors in short-term power load forecasting, we propose a bidirectional long short-term memory (BiLSTM) neural network model based on the temporal pattern attention (TPA) mechanism. Firstly, based on the grey relational analysis, datasets similar to forecast day are obtained. Secondly, the bidirectional LSTM layer models the data of the historical load, temperature, humidity, and date-type and extracts complex relationships between data from the hidden row vectors obtained by the BiLSTM network, so that the influencing factors (with different characteristics) can select relevant… More >

Xiaoping Xie^*, Shijie Cheng, Xuyang Li

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2425-2448, 2023, DOI:10.32604/cmes.2023.023116

Abstract This paper proposed method that combined transmission path analysis (TPA) and empirical mode decomposition (EMD) envelope analysis to solve the vibration problem of an industrial robot. Firstly, the deconvolution filter time-domain TPA method is proposed to trace the source along with the time variation. Secondly, the TPA method positioned the main source of robotic vibration under typically different working conditions. Thirdly, independent vibration testing of the Rotate Vector (RV) reducer is conducted under different loads and speeds, which are key components of an industrial robot. The method of EMD and Hilbert envelope was used to More >

S. Stewart Kirubakaran^1,*, V. P. Arunachalam¹, S. Karthik¹, S. Kannan²

Computer Systems Science and Engineering, Vol.44, No.3, pp. 1881-1895, 2023, DOI:10.32604/csse.2023.026690

Abstract In the present scenario of rapid growth in cloud computing models, several companies and users started to share their data on cloud servers. However, when the model is not completely trusted, the data owners face several security-related problems, such as user privacy breaches, data disclosure, data corruption, and so on, during the process of data outsourcing. For addressing and handling the security-related issues on Cloud, several models were proposed. With that concern, this paper develops a Privacy-Preserved Data Security Approach (PP-DSA) to provide the data security and data integrity for the outsourcing data in Cloud… More >