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Li Guang‐wei,Wang Hui‐min,Yang Wen‐tao,Chen Xiu‐lin,Li Bo‐liao,Chen Yu‐xin 한국곤충학회 2021 Entomological Research Vol.51 No.10
The summer fruit tortrix moth Adoxophyes orana is a seriously damaged leaf roller pest for fruit trees. In this study, we evaluated the effect of five host plants (apple, Malus domestica B.; peach, Prunus persica var. nectarina; apricot, Armeniaca vulgaris Lam.; mulberry, Morus alba L.; and jujube, Ziziphus jujuba M.) on the development, survival, and fecundity of A. orana under laboratory conditions. Results showed that the development times of A. orana on jujube were significantly longer than those on the other four plants. The preimaginal survival rate was influenced by the host plants, which were fed during the larval stage, and with the highest on peach, followed by apple, apricot, and mulberry, and with the lowest on jujube. Adult females from larvae reared on apricot laid the greatest numbers of eggs (318.11 eggs per female), while that on apple, jujube, and mulberry was smaller, and no significant difference was observed among them. The highest intrinsic rate of increase (rm) was observed on peach and apricot; these two fruit trees were considered to be the most suitable host plant for A. orana because of the shorter developmental duration, higher survival rate, and the highest fecundity.
( Tao Tao ),( Jianfeng Yang ),( Wei Wei ),( Marcin Woźniak ),( Rafał Scherer ),( Robertas Damaševičius ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.10
With the rapid development of the Chinese water project, the safety monitoring of dams is urgently needed. Many drawbacks exist in dams, such as high monitoring costs, a limited equipment service life, long-term monitoring difficulties. MEMS sensors have the advantages of low cost, high precision, easy installation, and simplicity, so they have broad application prospects in engineering measurements. This paper designs intelligent monitoring based on the collaborative measurement of dual MEMS sensors. The system first determines the endpoint coordinates of the sensor array by the coordinate transformation relationship in the monitoring system and then obtains the dam settlement according to the endpoint coordinates. Next, this paper proposes a dual-MEMS sensor collaborative measurement algorithm that builds a mathematical model of the dual-sensor measurement. The monitoring system realizes mutual compensation between sensor measurement data by calculating the motion constraint matrix between the two sensors. Compared with the single-sensor measurement, the dual-sensor measurement algorithm is more accurate and can improve the reliability of long-term monitoring data. Finally, the experimental results show that the dam subsidence monitoring system proposed in this paper fully meets the engineering monitoring accuracy needs, and the dual-sensor collaborative measurement system is more stable than the single-sensor monitoring system.
Wei, Wei-Hong,Cai, Xiu-Yu,Xu, Tao,Zhang, Guo-Yi,Wu, Yong-Feng,Feng, Wei-Neng,Lin, Li,Deng, Yan-Ming,Lu, Qiu-Xia,Huang, Zhe-Li Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.3
Background and Purpose: Cisplatin is the most common chemotherapeutic agent for loco-regionally advanced nasopharyngeal carcinoma (NPC); however, toxicity is a limiting factor for some patients. We retrospectively compared the efficacy and toxicity of weekly docetaxel-based and cisplatin-based concurrent chemoradiotherapy in loco-regionally advanced NPC. Methods and Materials: Eighty-four patients with Stage III and IVA-B NPCs, treated between 2007 and 2008, were retrospectively analyzed. Thirty received weekly docetaxel-based concurrent chemotherapy, and 43 were given weekly cisplatin-based concurrent chemotherapy. Radiotherapy was administered using a conventional technique (seven weeks, 2.0 Gy per fraction, total dose 70-74 Gy) with 6-8 Gy boosts for some patients with locally advanced disease. Results: Median follow-up time was 42.3 months (range, 8.6-50.8 months). There were no significant differences in the 3-year loco-regional failure-free survival (85.6% vs. 92.3%; p=0.264), distant failure-free survival (87.0% vs. 92.5%; p=0.171), progression-free survival (85.7% vs. 88.4%; p=0.411) or overall survival (86.5% vs. 92.5%, p=0.298) of patients treated concurrently with docetaxel or cisplatin. Severe toxicity was not common in either group. Conclusions: Weekly docetaxel-based concurrent chemoradiotherapy is potentially effective and has a tolerable toxicity; however, further investigations are required to determine if docetaxel is superior to cisplatin for advanced stage NPC.
High performance KNN-based single crystal thick film for ultrasound application
Tao Zhang,Jun Ou-Yang,Xiaofei Yang,Wei Wei,Benpeng Zhu 대한금속·재료학회 2019 ELECTRONIC MATERIALS LETTERS Vol.15 No.1
Using a novel lapping technology, the achievement of approximately 28 μm (K 0.45 Na 0.55 ) 0.96 Li 0.04 NbO 3 (abbreviated asKNLN) single crystal thick fi lm with <001> orientation has been realized. This kind of thick fi lm exhibited excellent electricalperformance: a superior piezoelectric constant (~ 490 pm/V) and an outstanding electromechanical coupling coeffi cient(k t ~ 0.55). Based on the obtained KNLN single crystal thick fi lm, a tiny side-looking 82 MHz ultrasound transducer witha bandwidth of 57.3% at − 6 dB has been successfully fabricated. Most importantly, 80 MHz intravascular ultrasound andphotoacoustic images of the healthy rabbit aorta have been presented. All these promising results indicate that KNN-basedsingle crystal thick fi lm is a good environmental protection candidate for high frequency (~ 80 MHz) ultrasound applications.
Class Incremental ELM and Application for Image Recognition
Wei Tao,Ji Xin-Sheng 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.9
In image recognition field, the fact is that the trained image classifier can not recognize the images, whose class type is not the same as the training data. To resolve this problem, a new image classifier is proposed, which is based on the class incremental extreme learning machine. The new classifier can recognize the normal images well, label them with new labels, and update itself with the new labeled data. Tested on the real-world daily activity data set, the results show that our algorithm performs well.
Wei Wei,Tao Xu,Xiaoxue Wang,Chengshan Wang,Lingxu Guo,Jun Lin,Tianchu Li 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.2
The increasing penetration of distributed energy resources on the distribution networks have brought a number of technical impacts where voltage and thermal variations have been identified as the dominant effects. Active network management in distribution networks aims to integrate distributed energy resources with flexible network management so that distributed energy resources are organized to make better use of existing capacity and infrastructure. This paper propose active solutions which aims to solve the voltage and thermal issues in a distributed manner utilizing a collaborative approach. The proposed algorithms have been fully tested on a distribution network with distributed generation units.
Tao Xu,Lingxu Guo,Wei Wei,Xiaoxue Wang,Chengshan Wang,Jun Lin,Tianchu Li 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.2
The increasing penetration of distributed energy resources on the distribution networks have brought a number of technical impacts where voltage and thermal variations have been identified as the dominant effects. Active network management in distribution networks aims to integrate distributed energy resources with flexible network management so that distributed energy resources are organized to make better use of existing capacity and infrastructure. This paper propose active solutions which aims to solve the voltage and thermal issues in a distributed manner utilizing a collaborative approach. The proposed algorithms have been fully tested on a distribution network with distributed generation units.
Tao Wei,Guangli Guo,Huaizhan Li,Lei Wang,Xiangsheng Yang,Yuezong Wang 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.5
Accurately detecting the location of the goafs is an effective method for coordinating underground mining and surface engineering construction and realizing illegal mining supervision. Aiming at the problems of the existing solution methods of goaf spatial characteristic parameters, a spatial location identification method of coal underground goaf with fusing minimal unit probability integration method and optimized quantum annealing is proposed. Meanwhile, to study the characteristics and stability of the proposed model, the advantages and disadvantages of space movement vector data, the robust ability of the method, and the application of multi-source data are discussed in the Discussions. Finally, the achievements of this paper apply to 1414 (1) working face of Gubei Coal Mine in Huainan. The results show the model can accurately identify the location and boundary of the goaf. The research achievements have important theoretical and practical significance for solving problems of land resource reuse in mining areas lacking geological mining data, coal mine safety production, and the supervision of illegal mining.
The dynamic transcriptome of waxy maize (Zea mays L. sinensis Kulesh) during seed development
Wei Gu,Diansi Yu,Yuan Guan,Hui Wang,Tao Qin,Pingdong Sun,Yingxiong Hu,Jihui Wei,Hongjian Zheng 한국유전학회 2020 Genes & Genomics Vol.42 No.9
Background Waxy maize (Zea mays L. sinensis Kulesh) is a mutant of maize (Zea mays L.) with a mutation at Waxy1 (Wx1) gene locus. The seed of waxy maize has higher viscosity compared to regular maize. By now, we know little about the expression patterns of genes that involved in the seed development of waxy maize. Objective By analyzing the transcriptome data during waxy maize seed development, we attempt to dig out the genes that may infuence the seed development of waxy maize. Methods The seeds of waxy maize inbred line SWL01 from six phases after pollination were used to do RNA-seq. Bioinformatics methods were used to analyze the expression patterns of the expressed genes, to identify the genes involved in waxy maize seed development. Results A total of 24,546 genes including 1611 transcription factors (TFs) were detected during waxy maize seed development. Coexpression analysis of expressed genes revealed the dynamic processes of waxy maize seed development. Particularly, 2457 genes including 177 TFs were specially expressed in waxy maize seed, some of which mainly involved in the process of seed dormancy and maturation. In addition, 2681, 5686, 4491, 4386, 3669 and 4624 genes were identifed to be diferential expressed genes (DEGs) at six phases compared to regular maize B73, and 113 DEGs among them may be key genes that lead the diference of seed development between waxy and regular maizes in milk stage. Conclusion In summary, we elucidated the expression patterns of expressed genes during waxy maize seed development globally. A series of genes that associated with seed development were identifed in our research, which may provide an important resource for functional study of waxy maize seed development to help molecular assisted breeding.