Clinical and genetic characteristics of adult cerebral adrenoleukodystrophy by LIU Taotao, LIU Xiaoli, WU Jingying, NI Ruilong, ZHANG Mengyuan, JI Duxin, ZHANG Mei, CAO Li

“…Three patients showed memory loss and cognitive dysfunction, two showed irritability and personality change, one showed mental and behavioral abnormalities, one showed dysarthria and ataxia, and one showed persistent dizziness, occipital numbness and insomnia. …”
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Application and evaluation of inquiry teaching mode for graduated students in large-scale biomedical equipment courses by SUN Hai-dan, GUO Zheng-guang, ZHOU Jun, PIAN Hong-ru, YANG Ming-zhu, WANG Xin, ZHENG Zhi

“…Twenty-three questions in 27 ones show the significant differences. Conclusions The results of questionnaire show satisfied reliability, correlation coefficient, discrimination and coverage. …”
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Effects of Anoectochilus roxburghii-Fagopyrum tataricum Mixed Extracts on Improving Oxidative Damage Induced by D-Galactose in Aging Mice by Pushuang GONG, Yu HU, Changsong DUAN, Yisha XU, Yu XIAO

“…Conclusion: AFME (1:1) showed the optimum synergistic antioxidant effects in vitro. …”
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STRUCTURAL GLOBAL SENSITIVITY METHOD BASED ON PARTIAL DERIVATIVE WHOLE DOMAIN INTEGRAL by TU LongWei, LIU Jie, LIU GuangZhao, ZHANG Zheng

“…In addition,the paper redefined a more conveniently calculated sensitivity indice that can achieve effective decomposition for the high-order sensitivity indices,and the sensitivity results directly corresponded to model variables without the high-order indices,which had more practical engineering significance. Numerical example 1 shows the deficiency of Sobol’total sensitivity indices in application. …”
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Roughness coefficient of rock discontinuities based on random forest regression analyses by Wenbin LI, Wenkai FENG, Yunpeng HU, Yongjian ZHOU, Kai CHEN, Yun LIU

“…The model prediction results fitting excellence is up to 98.1%, showing the excellent prediction results. Compared with the traditional linear regression results, such as the results of the slope-based mean square root, structural function and roughness profile index, the random forest regression model has higher accuracy, smaller error and better fit. …”
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Antibiotic resistance and molecular characteristics of Vibrio cholerae from aquatic products and diarrhea patients in Shaoxing from 2020 to 2021 by CHEN Jiming, ZHANG Qinchao, CHEN Jinkun, TANG Shijie, HE Qinfen

“…PFGE molecular typing of strains digested by Not I showed diversity， and there was a great difference between the aquatic product isolates and the case isolates.ConclusionThe main serogroup of Vibrio cholerae was non-O1/O139 in Shaoxing from 2020 to 2021. …”
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Temporal and spatial characteristics of landslide susceptibility in the West open-pit mining area, Fushun, China by WU Jihuan, ZHANG Chunshan, MENG Huajun, GUO Han, WU Kungang, LI Hongjia

“…In recent years landslides occurred in the Fushun West open-pit mining area compared with previous ones show obvious temporal and spatial variations in the scale, activity frequency and spatial position, followed up by changes in landslide susceptibility, which presents new challenges for future treatment. …”
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DEPDC1 is up-regulated in uterine corpus endometrial cancer by YANG Tingting, HUANG Jie, GUO Jianxin, HAN Jian

“…Compared with the DEPDC1 mRNA low expression patients, the patients with high expression of DEPDC1 showed lower disease-specific survival(DSS) and progress-free interval (PFI) (P＜0.01). …”
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Unsupervised Multi-view Feature Selection Based on Similarity Matrix Learning and Matrix Alignment by LI Bin, WAN Yuan

“…Multi-view feature selection improves the efficiency of classification,clustering and other learning tasks by fusing information from multiple views to obtain representative feature subsets.However,the features of different views that describe objects are complex and interrelated.Simply searching subset of features from original space partly solves the problem of dimension,but it barely obtains the latent structural information and association information among features.Besides,using fixed similarity matrix and projection matrix is prone to lose the correlation between different views.To solve these problems,an unsupervised multi-view feature selection algorithm based on similarity matrix learning and matrix alignment(SMLMA)is proposed.Firstly,the similarity matrix based on all views is constructed,and the consistent similarity matrix and projection matrix are obtained by mani-fold learning,to explore and reserve the structural information of data to the greatest extent.Then,the matrix alignment method is used to maximize the correlation between the similarity matrix and the kernel matrix,for the purpose of using the correlation between different views and reducing the information redundancy of feature subset.Finally,the Armijo searching method is introduced to obtain the convergence result quickly.Experimental results on four datasets(Caltech-7,NUS-WIDE-OBJ,Toy Animal and MSRC-v1)show that,compared with single view feature selection and some multi-view feature selection methods,the accuracy of SMLMA is averagely improved by about 7.54%.The proposed algorithm well retains the structural information of data and the correlation between multi-view features,and captures more high-quality features.…”
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Geological significance of karst section of Lower Triassic Feixianguan Formation in Puguang area, Northeast Sichuan by Xinyang Liang, Dekui Fu, Ning Zhang, Qiuling Gao, Xionghua Zhang, Jian Chen

“…From the top of T1f1 to T1f2, oolites and mould casting holes begin to develop.The carbon and oxygen isotope study in Well PG104-1 shows that the fluid environment is atmospheric freshwater fluid, which proves the development of quasi-syngenetic karst, while the oxygen isotope value is more than -5‰, indicating that the relevant fluid is atmospheric freshwater fluid, which proves that the bottom of the karst breccia section experiences a certain period of exposure and that a sedimentary discontinuity appears.Considering the differences in carbon and oxygen isotopes between the upper and lower interface, the emergence and disappearance of die casting holes and the changes in logging curves, it is considered that the boundary between T1f1 and T1f2 can be distinguished and characterized by karst breccia sections. …”
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Prognostic Value and Immune Infiltration of Anoikis-related LncRNAs in Lung Adenocarcinoma by LI Xin, HE Juan, JIN Shan, WANG Ruolan, LUO Qibiao, XIA Wei

“…According to the expression of model genes, subtypes C1 and C2 were identified through consensus clustering, and C1 showed a good prognosis. Conclusion The prognostic risk model based on the seven arlncRNAs can effectively predict the prognosis of lung adenocarcinoma patients. …”
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Enhancement of Innate Immune Function in Mice by Bifidobacterium bifidum FL-228.1 by Yu ZHOU, Xiaoying TIAN, Qingyu CUI, Zhe ZHANG, Pimin GONG, Kai LIN, Huaxi YI, Tongjie LIU, Lanwei ZHANG

“…In general, Bifidobacterium bifidum FL-228.1 showed the best in vitro performance for further in vivo studies. …”
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Efficient identification of point-mutant monoclonal cells through array tagged high-throughput sequencing by HAN Ling, YANG Ke, XUE Zheng, LYU Xiang

“…In the 30 monoclones obtained, one showed the expected hybrid T/G genotype at the rs826415 site, instead of the G/G genotype in the unmodified K562 cells, indicated successful mono-allele targeting. …”
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Formation conditions of shale oil and favorable targets in the second member of Paleogene Funing Formation in Qintong Sag, Subei Basin by Lin ZAN, Weifeng LUO, Yanling YIN, Xiaoming JING

“…The free hydrocarbon content (S1) showed a range of 0.1-2.7 mg/g, with an average value of 0.54 mg/g, referring the most favorable layers for shale oil exploration of the sections mentioned above. …”
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Spatial and temporal distribution characteristics of hourly extreme rainfall in warm season in Henan by Junyong YANG, Aifang SU

“…The diurnal variation of the frequency of hourly extreme rainfall above 80 mm·h-1 shows a multi-peak structure, in which the main peak value is at night. (3) There are differences in the hourly extreme precipitation index for the four underlying surfaces including mountains, hill area, urban area and plain. …”
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Preparation of Ni-Fe alloy catalyst and catalytic hydrodeoxygenation of stearic acid by Xiaobo GUO, Wei WANG, Jiaping ZHAO, Junming XU, Ping ZHAO, Peng LIU

“…The results showed that the catalysts prepared at 500 ℃ reduction, 10% Ni metal loading and Ni:Fe = 3:1 showed a better hydrodeoxygenation performance, the Fe addition formed FeNi3 alloy with Ni, and the internal interaction between Ni and Fe metal also promoted the high dispersion of Ni-Fe clusters and the formation of smaller particle size. …”
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Impact of Chlorine Dioxide Slow-releasing Preservative on Quality and Key Anthocyanins of Litchi during Low Temperature Storage by Li GUO, Guang WU, Qingchun YIN, Lin LUO, Hao DENG

“…The results showed that the litchi of the T1 showed the optimal qualities. On the 7 th day, the total soluble solids and a* values of litchi in the T1 were significantly (P<0.05) increased by 2.93% and 10.13%, respectively, while the respiration rate was significantly (P<0.05) decreased by 34.54% compared to the CK group in the same period. …”
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Effect of High Pressure Homogenization on the Stability and Quality of Not-From-Concentrate Cloudy Honey Peach (Prunus persica L.) Juice by Yan CUI, Jiayan GUO, Xiaoting XUAN, Xudong LIN, Haitao SHANG, Wenyi DENG, Tie ZHANG, Jiangang LING

“…Juice homogenized at 30 MPa/1 showed the best quality. The contents of total phenol and VC were significantly enhanced (P<0.05), whereas no change was found for pH, TSS, TA and TSS/TA levels (P>0.05). …”
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Role of SPHK1 Regulates Multi-drug Resistance of Small Cell Lung Cancer
and Its Clinical Significance by Lan YANG, Honglin HU, Ying DENG, Yifeng BAI

“…The aim of this study is to investigate the role of sphingosine kinase 1 (SPHK1) showed in small cell lung multi-drug resistance. …”
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Inhibitory Effect of Litsea cubeba Essential Oil on Aspergillus flavus Growth and Aflatoxin Production by Xiaoxia HUANG, Weibin PENG, Zhenyu LI, Dongrun YANG, Shikun YANG

“…The germination rate, the length of the dental tube, the growth of Aspergillus flavus, and the concentration of AFB1 showed a significant decreasing trend with increasing concentrations of essential oil in the culture medium. …”
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