Xuehua Luo^1,#, Huijun Xie^2,#, Li Han¹, Qiaoming Zhong³, Meng Xu^4,*, Ling Jin^1,*

Oncologie, Vol.23, No.3, pp. 425-438, 2021, DOI:10.32604/Oncologie.2021.017267 - 26 September 2021

Abstract Tetrandrine has a variety of anti-tumor effects including against or reversal of tumor chemoresistance, but its mechanism of against tumor chemoresistance is still unclear. Therefore, the analytical method of network pharmacology and molecular docking was used to investigate the mechanism by which tetrandrine acts in tumor chemoresistance. We used public databases (PubChem, SwissADEM, SwissTargetPrediction) to obtain the physicochemical information and targets of tetrandrine, and used gene databases (GeneCards and OMIM) to collected disease targets, respectively. The intersection targets of disease and drug were analyzed by RStudio. We built protein-protein interaction network through the STRING database,… More >

Xiyuan Li¹, Peng Chu^2,3,*, Zhuang Lu^2,3, Yuanyuan Liu^2,3, Zibin Zhu^2,3, Jin Gao^2,3, Xiaoxue Liao^2,3, Tao Yang^2,3

Energy Engineering, Vol.118, No.6, pp. 1811-1825, 2021, DOI:10.32604/EE.2021.015751 - 10 September 2021

Abstract The permeability is a key factor to determine the efficiency of coalbed methane (CBM) production. The borehole enlargement technology using hydraulic and mechanical measures to cut coal is an effective method to increase the coal seam permeability and improve the efficiency of gas drainage. Reasonable design of the layout of boreholes is the prerequisite for efficient and economical gas drainage. In this paper, based on the strain-softening model, the stress and permeability model of the coal seam around the enlarged borehole was built, and based on the dual-medium model, the gas migration model in the… More >

REKHA GAHTORI^1,#, MOSLEH MOHAMMAD ABOMUGHAID^2,#, NIDHI NEGI³, SARAVANAN KRISHNAN⁴, SUGAPRIYA DHANASEKARAN⁵, SOUMYA PANDIT⁶, KANU PRIYA⁶, DILLIP KUMAR BISHI^7,*, RAM PRASAD⁸, PIYUSH KUMAR GUPTA^6,*

BIOCELL, Vol.45, No.6, pp. 1465-1477, 2021, DOI:10.32604/biocell.2021.016484 - 01 September 2021

Abstract Antibacterial resistance developed by bacteria due to the unlimited use of antibiotics has posed a challenge for human civilization. This kind of problem is not limited to India only, but it is a global concern. Nowadays, many treatments and medicines for bacterial diseases have been developed. However, they possess some drawbacks. Therefore, the alternative medicine has been used to target the drug resistant mechanisms and such medicines have less side effects which is becoming necessary. Natural products have traditionally or historically been of importance for the development of antibacterial agents and are also known to More >

JAVARIA AFZAL^1,2,#, XIUKANG WANG^3,*, MUHAMMAD HAMZAH SALEEM^4,#, XUECHENG SUN¹, SHAHID HUSSAIN⁵, IMRAN KHAN⁶, MUHAMMAD SHOAIB RANA¹, SHAKEEL AHMED⁷, SAMRAH AFZAL AWAN⁶, SAJID FIAZ⁸, OMAR AZIZ⁹, KASHIF ALI KUBAR¹⁰, SHAFAQAT ALI^11,12, CHENGXIAO HU^1,*

BIOCELL, Vol.45, No.6, pp. 1631-1649, 2021, DOI:10.32604/biocell.2021.014934 - 01 September 2021

Abstract Soil contamination with toxic heavy metals [such as cadmium (Cd)] is becoming a serious global problem due to rapid development of social economy. Iron (Fe), being an important element, has been found effective in enhancing plant tolerance against biotic and abiotic stresses. The present study investigated the extent to which different levels of Ferrous sulphate (FeSO₄) modulated the Cd tolerance of rice (Oryza sativa L.), when maintained in artificially Cd spiked regimes. A pot experiment was conducted under controlled conditions for 146 days, by using natural soil, mixed with different levels of CdCl₂ [0 (no Cd), 0.5… More >

Lejun Gong^1,2,*, Xingxing Zhang¹, Li Zhang³, Zhihong Gao⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 31-45, 2021, DOI:10.32604/cmes.2021.016622 - 24 August 2021

Abstract Novel coronavirus disease 2019 (COVID-19) is an ongoing health emergency. Several studies are related to COVID-19. However, its molecular mechanism remains unclear. The rapid publication of COVID-19 provides a new way to elucidate its mechanism through computational methods. This paper proposes a prediction method for mining genotype information related to COVID-19 from the perspective of molecular mechanisms based on machine learning. The method obtains seed genes based on prior knowledge. Candidate genes are mined from biomedical literature. The candidate genes are scored by machine learning based on the similarities measured between the seed and candidate More >

Jiang Xu¹, Ling Wang^1,2, Xinyu Liu^1,2, Xiujuan Feng³, Yongjun Ren^1,2,*, Jinyue Xia⁴

Computer Systems Science and Engineering, Vol.39, No.3, pp. 337-349, 2021, DOI:10.32604/csse.2021.015004 - 12 August 2021

Abstract In the digital era, how to ensure the authenticity and integrity of electronic records has become an open challenging issue. Front-end control is an important concept as well as a basic principle in electronic record management. Under the instruction of front-end control, many original management links in the record-management stage are required to move forward, and the managers enter the formation stage of the electronic records to ensure the originality. However, the front-end control technique primarily focuses on transaction management, and it lacks the strategy of providing the control of electronic records. In this paper,… More >

Yong Li, Xipeng Wang^*

Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 563-573, 2021, DOI:10.32604/iasc.2021.017926 - 11 August 2021

Abstract Person re-identification (ReID) is the use of computer vision and machine learning techniques to determine whether the pedestrians in the two images under different cameras are the same person. It can also be regarded as a matching retrieval task for person targets in different scenes. The research focuses on how to obtain effective person features from images with occlusion, angle change, and target attitude change. Based on the present difficulties and challenges in ReID, the paper proposes a ReID method based on joint loss and multi-attention network. It improves the person re-identification algorithm based on More >

Wei Fang^1,2,*, Lin Pang¹, Weinan Yi¹, Victor S. Sheng³

Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 453-466, 2021, DOI:10.32604/iasc.2021.016589 - 11 August 2021

Abstract Precipitation nowcasting has become an essential technology underlying various public services ranging from weather advisories to citywide rainfall alerts. The main challenge facing many algorithms is the high non-linearity and temporal-spatial complexity of the radar image. Convolutional Long Short-Term Memory (ConvLSTM) is appropriate for modeling spatiotemporal variations as it integrates the convolution operator into recurrent state transition functions. However, the technical characteristic of encoding the input sequence into a fixed-size vector cannot guarantee that ConvLSTM maintains adequate sequence representations in the information flow, which affects the performance of the task. In this paper, we propose… More >

Junjie Qu, Jin Liu^*, Chao Yu

Journal of Information Hiding and Privacy Protection, Vol.3, No.2, pp. 83-89, 2021, DOI:10.32604/jihpp.2021.017181 - 30 July 2021

Abstract Scene text detection is an important step in the scene text reading system. There are still two problems during the existing text detection methods: (1) The small receptive of the convolutional layer in text detection is not sufficiently sensitive to the target area in the image; (2) The deep receptive of the convolutional layer in text detection lose a lot of spatial feature information. Therefore, detecting scene text remains a challenging issue. In this work, we design an effective text detector named Adaptive Multi-Scale HyperNet (AMSHN) to improve texts detection performance. Specifically, AMSHN enhances the More >

Mahmoud Alawi¹, Raed Alsaqour², Abdi Abdalla³, Maha Abdelhaq^4,*, Mueen Uddin⁵

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2313-2337, 2021, DOI:10.32604/cmc.2021.018282 - 21 July 2021

Abstract The growing demands of vehicular network applications, which have diverse networking and multimedia capabilities that passengers use while traveling, cause an overload of cellular networks. This scenario affects the quality of service (QoS) of vehicle and non-vehicle users. Nowadays, wireless fidelity access points Wi-Fi access point (AP) and fourth generation long-term evolution advanced (4G LTE-A) networks are broadly accessible. Wi-Fi APs can be utilized by vehicle users to stabilize 4G LTE-A networks. However, utilizing the opportunistic Wi-Fi APs to offload the 4G LTE-A networks in a vehicular ad hoc network environment is a relatively difficult… More >