Yu Xiao^1,2,#, Jianping Jiang^3,#, Yan Chen^1,4, Yi Huang¹, Changyuan Wei^1,*

Oncologie, Vol.24, No.4, pp. 729-742, 2022, DOI:10.32604/oncologie.2022.026118 - 31 December 2022

Abstract Background: Immunotherapy is becoming a powerful approach in the treatment of breast cancer. However, high response rates in the majority of breast cancer patients have yet to be achieved. Materials and Methods: Based on public data sources, we identified 22 genes that are correlated with PD-1 expression as well as differentially expressed between tumor tissues and normal tissues, and high expression of all the key genes was correlated with a superior survival outcome. Using the least absolute shrinkage and selection operator Cox regression model, a risk score was constructed. Results: A multivariate Cox analysis showed that the… More >

Grégory Ninot^1,2,*, Estelle Guerdoux^1,2, François Carbonnel¹, Kerstin Faravel², Ludovic Ismael¹, Fanny Leenhardt², Béatrice Lognos¹, Caroline Perrier², Laurent Philibert², Boris Tronc¹, Marie Viala²

Oncologie, Vol.24, No.4, pp. 605-612, 2022, DOI:10.32604/oncologie.2022.024558 - 31 December 2022

Abstract Une étude rétrospective observationnelle réalisée aux États-Unis montre une réduction de la survie de patients traités pour un cancer du sein, de la prostate, du poumon et colorectal en cas de déclaration d’usage de thérapies complémentaires (TC). Nous avons voulu vérifier ce résultat auprès d’une population française de 636 patients diagnostiqués des mêmes types de cancers et traités consécutivement par chimiothérapie orale dans un établissement hospitalier durant trois ans. Un entretien par un pharmacien en amont de l’administration d’une chimiothérapie orale a permis d’identifier les TC utilisées par les patients. Nous avons comparé la survie More >

Yuqi He^1,2,3, Shirui Shao¹, Gusztáv Fekete³, Xiaoyi Yang¹, Xuanzhen Cen^1,4, Yang Song^1,4, Dong Sun^1,*, Yaodong Gu^1,*

Molecular & Cellular Biomechanics, Vol.19, No.4, pp. 221-235, 2022, DOI:10.32604/mcb.2022.027285 - 27 December 2022

Abstract Introduction: Footwork is one of the training contents that table tennis players and coaches focus on. This study aimed to gain a thorough understanding of the muscle activity of the table tennis footwork and creating a musculoskeletal model to investigate the muscle forces, joint kinematic, and joint kinetic characteristics of the footwork during topspin forehand stroke. Methods: Six male table tennis athletes (height: 171.98 ± 4.97 cm; weight: 68.77 ± 7.86 kg; experience: 10.67 ± 1.86 years; age: 22.50 ± 1.64 years) performed chasse step and one-step footwork to return the ball from the coach by… More >

Xue Song^1,2, Cun Liu², Jingying Wang^1,*, Xinglian Yang¹, Mingrui Li¹

Molecular & Cellular Biomechanics, Vol.19, No.4, pp. 209-219, 2022, DOI:10.32604/mcb.2022.026082 - 27 December 2022

Abstract The umbilical cord is a vital structure between the fetus and placenta for the growth and well-being of the fetus. Although the umbilical cord may be the only organ that dies at the beginning of life, it is one of the most important parts of the feta-placental unit and plays a role in determining how life begins. In general, the prenatal examination of the umbilical cord is limited to the observation of the number of vessels and the evaluation of umbilical artery blood flow parameters. Pathologists have done more research on the morphological characteristics of More >

Sunil Kumar Suryawanshi¹, Usha Chouhan², Jyoti Kant Choudhari^2,*

Molecular & Cellular Biomechanics, Vol.19, No.4, pp. 191-208, 2022, DOI:10.32604/mcb.2022.023911 - 27 December 2022

Abstract Cancer is the second biggest cause of death globally, and the use of therapeutic peptides to specifically target and destroy cancer cells has gotten much interest. Cancer peptides or vaccinations are utilized to treat cancer nowadays, apart from chemotherapy, which has significant discomfort, side effects and costly. It is time demanding to identify and predict potential anticancer peptides using computational biology approaches. Thus, 3-D molecular modeling is being used to find possible ACP candidates. In this research, Curcuma longa has predicted peptide sequences were docked on breast cancer receptors and used a molecular docking technique to… More >

Yong Wang¹, Dong Sun^1,*, Anand Thirupathi¹, Julien S. Baker², Yaodong Gu^1,*

Molecular & Cellular Biomechanics, Vol.19, No.4, pp. 177-189, 2022, DOI:10.32604/mcb.2022.021764 - 27 December 2022

Abstract Purpose: In order to satisfy the requirements of Chinese Para seated cross-country skiers special training for Double poling scientifically, and the individualized strength training of Paralympic athletes, this study aims to explore the effect of the full-dimensional servo-driven intelligent training system on para cross-country skiers’ strength training. Methods: 12 Para seated cross-country skiing athletes were included (6 males and 6 females: LW10.5-LW12), 4 weeks of training of the Double poling based on the centripetal isotonic mode of the full-dimensional servo-driven intelligent training system, the special strength quality indicators include the speed and power of the Double… More >

Suraj Shembekar^*, Dhananjay Zodpe, Pramod Padole

Molecular & Cellular Biomechanics, Vol.19, No.4, pp. 165-175, 2022, DOI:10.32604/mcb.2022.021513 - 27 December 2022

Abstract Arteriovenous fistula (AVF) is the endorsed method of vascular access for hemodialysis in end-stage renal disease (ESRD). However, more than 60% of AVF fail to mature for hemodialysis. Intimal hyperplasia leads to stenosis is the primary cause of fistula failure. Wall shear stress (WSS) is one of the important parameters that enact a crucial role in building of intimal hyperplasia. The prime purpose of this research work is to investigate the effect of anastomosis angle on WSS, pressure drop, venous outflow rate and identify the optimal angle of anastomosis of AVF, so that it helps… More >

Han Chu, Haoliang Lan^*, Jie Xu, Xiao Feng Sun

Journal of New Media, Vol.4, No.4, pp. 219-229, 2022, DOI:10.32604/jnm.2022.034830 - 12 December 2022

Abstract Campus network provides a critical stage to student service and campus administration, which assumes a paramount part in the strategy of ‘Rejuvenating the Country through Science and Education’ and ‘Revitalizing China through Talented Persons’. However, with the rapid development and continuous expansion of campus network, network security needs to be an essential issue that could not be overlooked in campus network construction. In order to ensure the normal operation of various functions of the campus network, the security risk level of the campus network is supposed to be controlled within a reasonable range at any More >

Yongzhong Li^1,2,*, Cong Li¹, Yuheng Li³, Shipeng Zhang²

Journal of New Media, Vol.4, No.4, pp. 205-217, 2022, DOI:10.32604/jnm.2022.034778 - 12 December 2022

Abstract In this paper, we propose a intrusion detection algorithm based on auto-encoder and three-way decisions (AE-3WD) for industrial control networks, aiming at the security problem of industrial control network. The ideology of deep learning is similar to the idea of intrusion detection. Deep learning is a kind of intelligent algorithm and has the ability of automatically learning. It uses self-learning to enhance the experience and dynamic classification capabilities. We use deep learning to improve the intrusion detection rate and reduce the false alarm rate through learning, a denoising AutoEncoder and three-way decisions intrusion detection method More >

Weimin He, Lei Zhao^*

Journal of New Media, Vol.4, No.4, pp. 191-203, 2022, DOI:10.32604/jnm.2022.032994 - 12 December 2022

Abstract Accurate electricity forecasting is the key basis for guiding the power sector to arrange operation plans and guaranteeing the profitability of electric power companies. However, with the increasing demand of enterprises and departments for data security, the phenomenon of “Isolated Data Island” becomes more and more serious, resulting in the accuracy loss of the traditional electricity prediction model. Federated learning, as an emerging artificial intelligence technology, is designed to ensure data privacy while carrying out efficient machine learning, which provides a new way to solve the problem of “Isolated Data Island” in terms of electricity… More >