Yanli Wang^*, Jia Li^†, Chunling Xu^†, Xiaomeng Zhang^†

Oncology Research, Vol.28, No.7-8, pp. 823-825, 2020, DOI:10.3727/096504021X16240202940021

Abstract Increasing evidence indicates that the dysregulation of microRNAs is associated with the development and progression of various cancers. MicroRNA-139-5p (miR-139-5p) has been reported to have a tumor suppressive role in many types of cancers. The role of miR-139-5p in ovarian cancer (OC) is poorly understood. The purpose of the present study was to explore the expression of miR-139-5p and its function in OC. The results showed that miR-139-5p expression was markedly downregulated in OC tissues and cell lines. In addition, underexpression of miR-139-5p was significantly associated with FIGO stage, lymph mode metastasis, and poor overall survival of OC patients. Functional… More >

Adilijiang Maimaitiming^*, Ailijiang Wusiman^†, Abulajiang Aimudula^†, Xuekelaiti Kuerban^*, Pengcheng Su^*

Oncology Research, Vol.28, No.1, pp. 13-19, 2020, DOI:10.3727/096504019X15519249902838

Abstract The aim of the present study was to investigate the roles of microRNA-152 (miR-152) in the initiation and progression of breast cancer. The expression level of miR-152 was detected in human breast cancer tissue and a panel of human breast cancer cell lines using qRT-PCR. Results found that miR-152 expression was significantly downregulated in breast cancer tissue samples compared to adjacent noncancerous tissues as well as in breast cancer cell lines. Overexpression of miR-152 significantly suppressed breast cancer cell proliferation, migration, and invasion. Luciferase reporter assay results found that ROCK1 is a direct and functional target gene of miR-152 in… More >

Mei Tao¹, Qingwen Ren^1,*, Hanbing Bian², Maosen Cao¹, Yun Jia³

CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 681-705, 2022, DOI:10.32604/cmes.2022.019522

Abstract Soil-rock mixture (SRM) filling in fault zone is an inhomogeneous geomaterial, which is composed of soil and rock block. It controls the deformation and stability of the abutment and dam foundation, and threatens the long-term safety of high arch dams. To study the macroscopic and mesoscopic mechanical properties of SRM, the development of a viable mesoscopic numerical simulation method with a mesoscopic model generation technology, and a reasonable parametric model is crucially desired to overcome the limitations of experimental conditions, specimen dimensions, and experiment fund. To this end, this study presents a mesoscopic numerical method for simulating the mechanical behavior… More >

Ayman Altameem¹, Ramesh Chandra Poonia², Ankit Kumar³, Linesh Raja⁴, Abdul Khader Jilani Saudagar^5,*

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 553-566, 2023, DOI:10.32604/iasc.2023.027579

Abstract Data clustering is crucial when it comes to data processing and analytics. The new clustering method overcomes the challenge of evaluating and extracting data from big data. Numerical or categorical data can be grouped. Existing clustering methods favor numerical data clustering and ignore categorical data clustering. Until recently, the only way to cluster categorical data was to convert it to a numeric representation and then cluster it using current numeric clustering methods. However, these algorithms could not use the concept of categorical data for clustering. Following that, suggestions for expanding traditional categorical data processing methods were made. In addition to… More >

A. Arunkumar^1,*, S. Ramabalan¹, D. Elayaraja²

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 1229-1244, 2023, DOI:10.32604/iasc.2023.027388

Abstract Environmental issues like pollution are major threats to human health. Many systems are developed to reduce pollution. In this paper, an optimal mobile robot design to reduce pollution in Green supply chain management system. Green supply chain management involves as similating environmentally and economically feasible solutions into the supply chain life-cycle. Smartness, advanced technologies, and advanced networks are becoming pillars of a sustainable supply chain management system. At the same time, there is much change happening in the logistics industry. They are moving towards a new logistics model. In the new model, robotic logistics has a vital role. The reasons… More >

Yong Wang, Hongjian Ni^*, Ruihe Wang, Shubin Liu

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.5, pp. 1263-1273, 2022, DOI:10.32604/fdmp.2022.020405

Abstract A specific model is elaborated for stick-slip and bit-bounce vibrations, which are dangerous dynamic phenomena typically encountered in the context of rotary drilling applications. Such a model takes into account two coupled degrees of freedom of drill-string vibrations. Moreover, it assumes a state-dependent time delay and a viscous damping for both the axial and torsional vibrations and relies on a sawtooth function to account for the cutting force fluctuation. In the frame of this theoretical approach, the influence of rock brittleness on the stability of the drill string is calculated via direct integration of the model equations. The results show… More >

Xianhe Yue^*, Shunshe Luo

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.4, pp. 1195-1203, 2022, DOI:10.32604/fdmp.2022.020649

Abstract Because carbonate rocks have a wide range of reservoir forms, a low matrix permeability, and a complicated seam hole formation, using traditional capacity prediction methods to estimate carbonate reservoirs can lead to significant errors. We propose a machine learning-based capacity prediction method for carbonate rocks by analyzing the degree of correlation between various factors and three machine learning models: support vector machine, BP neural network, and elastic network. The error rate for these three models are 10%, 16%, and 33%, respectively (according to the analysis of 40 training wells and 10 test wells). More >

Kun Du, Zhen Wei^*

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 751-760, 2022, DOI:10.32604/fdmp.2022.019577

Abstract Improving drilling efficiency is the best way to reduce drilling costs and the choice of the drilling mode is instrumental in doing so. At present, however, a standard approach for the optimization of these processes does not exists yet. Through a comparative statistical analysis of the rock-breaking mechanisms and the characteristics of different drilling methods, this research proposes a set of cues to achieve this objective. Available statistical data are classified by means of a fuzzy cluster analysis according to the anti-drilling characteristic parameters of formation. The results show that different drilling methods rely on their own rock breaking mechanisms… More >

Yu Tang¹, Jingcun Yu¹, Benyu Su^1,3,*, Zhixiong Li²

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 679-688, 2022, DOI:10.32604/fdmp.2022.019609

Abstract The complex resistivity of coal and related rocks contains abundant physical property information, which can be indirectly used to study the lithology and microstructure of these materials. These aspects are closely related to the fluids inside the considered coal rocks, such as gas, water and coalbed methane. In the present analysis, considering different lithological structures, and using the Cole-Cole model, a forward simulation method is used to study different physical parameters such as the zero-frequency resistivity, the polarizability, the relaxation time, and the frequency correlation coefficient. Moreover, using a least square technique, a complex resistivity “inversion” algorithm is written. The… More >

Gysbert Basson^1,*, Andrew P. Bassom², Brian Salmon³

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 379-409, 2022, DOI:10.32604/cmes.2022.019112

Abstract Advances in numerical simulation techniques play an important role in helping mining engineers understand those parts of the rock mass that cannot be readily observed. The Material Point Method (MPM) is an example of such a tool that is gaining popularity for studying geotechnical problems. In recent years, the original formulation of MPM has been extended to not only account for simulating the mechanical behaviour of rock under different loading conditions, but also to describe the coupled interaction of pore water and solid phases in materials. These methods assume that the permeability of mediums is homogeneous, and we show that… More >