Yuqin Xie¹, Shuang Deng¹, Qian Deng², Jiudong Xu^*

Oncologie, Vol.22, No.3, pp. 179-188, 2020, DOI:10.32604/Oncologie.2020.012544

Abstract This study aimed to explore LncRNA TUG1 targeted miR-222-3p in the proliferation and invasion of breast cancer (BC) cells. Seventy-six BC patients admitted to our hospital and 62 health check-ups at the same time were selected as the research objects. Among them, the former was seen as the observation group (OG), and the latter was considered as the control group (CG). The clinical significance of LncRNA TUG1 and miR-222-3p in BC was detected. Human BC cell MCF7 and normal human breast epithelial cell MCF-10A were purchased. After cells were transfected with LncRNA TUG1 and miR-222-3p, their proliferation, invasion, and apoptosis… More >

Guiming Deng^1,2,3, Ou Sheng^1,2,3, Fangcheng Bi^1,2,3, Chunyu Li^1,2,3, Tongxin Dou^1,2,3, Tao Dong^1,2,3, Qiaosong Yang^1,2,3, Huijun Gao^1,2,3, Jing Liu⁴, Xiaohong Zhong⁴, Miao Peng⁴, Ganjun Yi^1,2,3, Weidi He^1,2,3, Chunhua Hu^1,2,3,*

Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 1101-1130, 2020, DOI:10.32604/phyton.2020.010970

Abstract Banana (Musa spp.) is an ancient and popular fruit plant with highly nutritious fruit. The pseudo-stem of banana represents on average 75% of the total dry mass but its valorization as a nutritional and industrial by-product is limited. Recent advances in metabolomics have paved the way to understand and evaluate the presence of diverse sets of metabolites in different plant parts. This study aimed at exploring the diversity of primary and secondary metabolites in the banana pseudo-stem. Hereby, we identified and quantified 373 metabolites from a diverse range of classes including, alkaloids, flavonoids, lipids, phenolic acids, amino acids and its… More >

Priyanka Jha¹, Swati Chahal^2,3, Devendra Kumar Pandey^2,3, Joginder Singh⁴, Ram Prasad^5,*, Vijay Kumar^2,3,*

Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 779-794, 2020, DOI:10.32604/phyton.2020.09421

Abstract The use of medicinal plants for different therapeutic values is well documented in African continent. African diverse biodiversity hotspots provide a wide range of endemic species, which ensures a potential medicinal value. The feasible conservation approach and sustainable harvesting for the medicinal species remains a huge challenge. However, conservation approach through different biotechnological tools such as micropropagation, somatic embryogenesis, synthetic seed production, hairy root culture, molecular markers based study and cryopreservation of endemic African medicinal species is much crucial. In this review, an attempt has been made to provide different in vitro biotechnological approaches for the conservation of African medicinal… More >

Sadaf Qazi¹, Muhammad Usman¹, Azhar Mahmood¹, Aaqif Afzaal Abbasi², Muhammad Attique³, Yunyoung Nam^4,*

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 589-602, 2021, DOI:10.32604/cmc.2020.012507

Abstract Immunization is a noteworthy and proven tool for eliminating lifethreating infectious diseases, child mortality and morbidity. Expanded Program on Immunization (EPI) is a nation-wide program in Pakistan to implement immunization activities, however the coverage is quite low despite the accessibility of free vaccination. This study proposes a defaulter prediction model for accurate identification of defaulters. Our proposed framework classifies defaulters at five different stages: defaulter, partially high, partially medium, partially low, and unvaccinated to reinforce targeted interventions by accurately predicting children at high risk of defaulting from the immunization schedule. Different machine learning algorithms are applied on Pakistan Demographic and… More >

Wenyuan Liu^1,2, Zijuan Liu^1,*, Lin Wang¹, Binbin Li¹, Nan Jing¹

Computer Systems Science and Engineering, Vol.33, No.2, pp. 137-147, 2018, DOI:10.32604/csse.2018.33.137

Abstract In recent years, movement detection and gait recognition methods using different techniques emerge in an endless stream. On the one hand, wearable sensors need be worn by the detecting target and the method based on camera requires line of sight. On the other hand, radio frequency signals are easy to be impaired. In this paper, we propose a novel multi-layer filter of channel state information (CSI) to capture moving individuals in dynamic environments and analyze his/her gait periodicity. We design and evaluate an efficient CSI subcarrier feature difference to the multi-layer filtering method leveraging principal component analysis (PCA) and discrete… More >

Yuli D. Chashechkin, Andrey Y. Ilinykh^*

FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.4, pp. 801-811, 2020, DOI:10.32604/fdmp.2020.09168

Abstract The interaction of a falling drop (diluted aqueous solution of ink in various concentrations) with a target fluid (partially degassed tap water) has been tracked by means of high-resolution video recording and photography. The experimental setup has carefully been prepared in order to preserve the axial symmetry of initial conditions. Three regimes of interaction have been identified accordingly (depending on the drop velocity as controlled by the distance of fall): rapid droplet coalescence, rebound with the conservation of the drop volume and shape, and partial coalescence. Previous findings are recovered and confirmed, and enriched with heretofore unseen observations of complex… More >

Yuli D. Chashechkin^*

FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.4, pp. 773-800, 2020, DOI:10.32604/fdmp.2020.09001

Abstract The structure of the flow and the acoustic signals generated by the impact of a freely falling drop of water with an underlying quiescent fluid have been investigated for droplets having diameter 0.5 cm and a contact velocity in the range 1.5 < U < 5 m/s. The experimental study has been supported by high-resolution videos of the flow (as seen from above and from the side). The evolution of ejecta, spikes, droplets spray, cavity, splash, secondary cavity, streamer, secondary droplets and sequence of capillary waves is reported accordingly. In particular, perturbations of the smoothed free surface with transverse dimensions… More >

Yani Hou, Wenzhong Zhu, Erli Wang

Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 805-814, 2019, DOI:10.31209/2019.100000084

Abstract Hyperspectral remote sensing, with its narrow band imaging, provides the potential for fine identification of ground objects, and has unique advantages in mineral detection. However, the image is nonlinear and the pure pixel is scarce, so using standard spectrum detection will lead to an increase of the number of false alarm and missed detection. The density peak algorithm performs well in high-dimensional space and data clustering with irregular category shape. This paper used the density peak clustering to determine the cluster centers of various categories of images, and took it as the target spectrum, and took the clustering results as… More >

Shi Li¹, Xinyan Cao^{1, *}, Yiting Nan²

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 777-788, 2020, DOI:10.32604/cmc.2020.010870

Abstract Stance detection is the task of attitude identification toward a standpoint. Previous work of stance detection has focused on feature extraction but ignored the fact that irrelevant features exist as noise during higher-level abstracting. Moreover, because the target is not always mentioned in the text, most methods have ignored target information. In order to solve these problems, we propose a neural network ensemble method that combines the timing dependence bases on long short-term memory (LSTM) and the excellent extracting performance of convolutional neural networks (CNNs). The method can obtain multi-level features that consider both local and global features. We also… More >

Guanghui Yu¹, Honghui Fan¹, Hongyan Zhou¹, Tao Wu¹, Hongjin Zhu^{1, *}

Journal on Artificial Intelligence, Vol.2, No.3, pp. 125-135, 2020, DOI:10.32604/jai.2020.010501

Abstract When we use traditional computer vision Inspection technology to locate the vehicles, we find that the results were unsatisfactory, because of the existence of diversified scenes and uncertainty. So, we present a new method based on improved SSD model. We adopt ResNet101 to enhance the feature extraction ability of algorithm model instead of the VGG16 used by the classic model. Meanwhile, the new method optimizes the loss function, such as the loss function of predicted offset, and makes the loss function drop more smoothly near zero points. In addition, the new method improves cross entropy loss function of category prediction,… More >