작물 표현형 향상을 위한 지상 로봇과 드론의 협업 시스템 연구

이가학 ( Jiaxue Li ),한웅철 ( Xiongzhe Han ) 한국농업기계학회 2022 한국농업기계학회 학술발표논문집 Vol.27 No.2

To solve the limitations of unmanned ground vehicles (UGV) and Unmanned aerial vehicles (UAV) which cannot accurately obtain phenotypic information and are affected by the terrain in plant phenotyping, this paper proposed a method for plant phenotyping analysis based on a collaborative system between UGV and UAV. Firstly, it introduces the development history of plant phenotyping. Then, it analyzes the application and practical problems of various phenotype research technology carrier platforms in indoor and outdoor plant research. To better understand the current application of cooperative systems in precision agriculture, this paper focuses on analyzing the key technologies and application of the UGV and UAV cooperative systems in precision agriculture, including trajectory planning, communication, algorithms, pesticide spraying, soil detection, farmland monitoring, etc. Finally, the UGV and UAV cooperative systems for plant phenotyping is proposed. UGV as the landing platform of the UAV, it solves the problem of the short flight time of the UAV to a certain extent, and the UAV plans the optimal working path for the UGV. The system server drives the UAV to complete the acquisition of aerial data, extracts the information, identifies the abnormal area, and then operates the UGV to detect and collect data. Examples include extracting information about the plant structure, plant height, the quantity of flowers and fruits, etc. Then commands are sent to drive the plant protection machinery to complete the protection work. This research provides some guidance and suggestions for developing the precision agricultural robot collaborative system.

Impossible Differential Cryptanalysis on ESF Algorithm with Simplified MILP Model

( Xiaonian Wu ),( Jiaxu Yan ),( Lingchen Li ),( Runlian Zhang ),( Pinghai Yuan ),( Yujue Wang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.10

MILP-based automatic search is the most common method in analyzing the security of cryptographic algorithms. However, this method brings many issues such as low efficiency due to the large size of the model, and the difficulty in finding the contradiction of the impossible differential distinguisher. To analyze the security of ESF algorithm, this paper introduces a simplified MILP-based search model of the differential distinguisher by reducing constrains of XOR and S-box operations, and variables by combining cyclic shift with its adjacent operations. Also, a new method to find contradictions of the impossible differential distinguisher is proposed by introducing temporary variables, which can avoid wrong and miss selection of contradictions. Based on a 9-round impossible differential distinguisher, 15-round attack of ESF can be achieved by extending forward and backward 3-round in single-key setting. Compared with existing results, the exact lower bound of differential active S-boxes in single-key setting for 10-round ESF are improved. Also, 2108 9-round impossible differential distinguishers in single-key setting and 14 12-round impossible differential distinguishers in related-key setting are obtained. Especially, the round of the discovered impossible differential distinguisher in related-key setting is the highest, and compared with the previous results, this attack achieves the highest round number in single-key setting.

TFPI inhibits breast cancer progression by suppressing ERK/p38 MAPK signaling pathway

Xing Mengying,Yang Ying,Huang Jiaxue,Fang Yaqun,Jin Yucui,Li Lingyun,Chen Xiang,Zhu Xiaoxia,Ma Changyan 한국유전학회 2022 Genes & Genomics Vol.44 No.7

Background: Tissue factor pathway inhibitor-1 (TFPI) is a serine protease inhibitor, which is responsible for inactivating TF-induced coagulation. Recently, increasing studies revealed that TFPI was lowly expressed in tumor cells and exhibited the antitumor activity. Objective: The aim of this study was to explore the role and underlying molecular mechanisms of TFPI in breast cancer. Methods: The expression and prognostic value of TFPI were analyzed using UALCAN and Kaplan-Meier plotter website. The expression level of TFPI in breast cancer tissues and cells was examined by immunohistochemistry (IHC) and western blot analysis, respectively. Cellular proliferation was evaluated by CCK-8 and colony formation assays. Cell migration and invasion were determined by transwell assay. The methylation level of TFPI promoter was determined by methylation-specific PCR. Results: TFPI expression was significantly lower in breast cancer tissues and cells compared to normal breast tissues and normal breast cells. Patients with low TFPI levels showed worse overall survival (OS). Furthermore, overexpression of TFPI significantly inhibited the proliferation, migration and invasion of breast cancer cells. Conversely, knockdown of TFPI promoted the proliferation, migration and invasion of breast cancer cells. Mechanistically, TFPI inhibited the ERK/p38 MAPK signaling pathway in breast cancer. Moreover, DNA hypermethylation of TFPI promoter was responsible for the downregulation of TFPI in breast cancer cells. Conclusion: TFPI inhibited breast cancer cell proliferation, migration and invasion through inhibition of the ERK/p38 MAPK signaling pathway, suggesting that TFPI may serve as a novel prognostic biomarker and therapeutic target for breast cancer.

It’s Not Who You Know-It’s Who Knows You: Employee Social Capital and Firm Performance

( Duckki Cho ),( Lyungmae Choi ),( Michael Hertzel ),( Jessie Jiaxu Wang ) 한국금융연구원 2021 금융연구 working paper Vol.2021 No.12

We show that the social capital embedded in employees’ networks contributes to superior firm performance and provide evidence on the mechanism. Using data from a professional networking app, we measure a firm’s social capital derived from employees’ connections with external stakeholders. The directed nature of connections allows for identifying whether one party in a connection values the other more. Results show that firms with more employee social capital perform better. The positive effect arises primarily from employees being valued by others. We provide causal evidence by exploiting the enactment of an anti-graft act, which imparts a negative shock to networks.

Identification and Functional Analysis of Phosphoproteins Regulated by Auxin in Arabidopsis Roots

Tingfang Yi,Gaofeng Dong,Zenglan Wang,Jiaxu Li 한국식물학회 2009 Journal of Plant Biology Vol.52 No.1

The phytohormone auxin modulates diverse aspects of plant growth and development. Protein phosphorylation is believed to play a key role in regulating auxinmediated responses. To determine the phosphoproteins affected by auxin in Arabidopsis, we used phospho-specific antibodies to analyze their profiles on two-dimensional gels, then identified them by mass spectrometry. We found two phosphoproteins, enolase and the beta subunit of succinyl-CoA synthetase (SCS-beta), and noted that their phosphorylation was increased by auxin. To investigate their importance in auxin-mediated processes, we characterized Arabidopsis knockout mutants of the two genes. A homozygous null mutation in the gene for SCS-beta conferred embryo lethality. The enolase knockout mutants showed defects in root development similar to those of auxin-related mutants such as alf3 and xbat32. Therefore, we suggest that enolase is involved in auxin-regulated processes.

Effects of Envy on Depression: The Mediating Roles of Psychological Resilience and Social Support

Xiang Yanhui,Dong Xia,Zhao Jiaxu 대한신경정신의학회 2020 PSYCHIATRY INVESTIGATION Vol.17 No.6

Objective Envy, as a stable personality trait, can affect individuals’ mental health. Specifically, previous studies have found that envy can lead to depression; however, the mechanism by which envy affects depression is still unclear. Therefore, based on the resilience framework, we used structural equation modeling to explore the mediating roles that social support and psychological resilience play between envy and depression.Methods Chinese college students (n=680) were recruited to complete four scales: the Dispositional Envy Scale (DES), the Symptom Checklist 90-Depression Subscale (SCL-90-DS), the Connor-Davidson Resilience Scale (CD-RISC), and the Perceived Social Support Scale (PSSS).Results The results confirmed that both social support and psychological resilience are significant mediators between envy and depression. Furthermore, social support plays a significant mediating role between envy and psychological resilience, and psychological resilience plays a significant mediating role between social support and depression. Specifically, the results indicated that envy not only directly increases the likelihood of developing depression, but also indirectly increases the likelihood of developing depression by affecting psychological resilience through negatively influencing social support.Conclusion This study provides a theoretical basis for enhancing psychological resilience and social support in order to ameliorate adverse effects of envy on depression.

ANALYSES ON BIFURCATION AND CHAOS BEHAVIORS OF RIGIDITY ROTOR SYSTEM WITH RUBBING FAULT

Yinong Li,Ling Zheng,Wang Jiaxu 한국소음진동공학회 2008 한국소음진동공학회 국제학술대회논문집 Vol.2008 No.7

Sustainable Development of Indonesia`s Agricultural Sector

( Eng Seng Chia ),( Dongyu Li ),( Xutong Ma ),( Jixi Wang ),( Yiting Wang ),( Jiaxu Zhu ) 한국시스템다이내믹스학회 2016 한국시스템다이내믹스 연구 Vol.17 No.4

The Indonesian agricultural output has been struggling to provide for the demand of the rising population in recent years owing to the sluggish growth rate in this sector as compared to the overall performance of the economy. While the current slash-and-burn technique widely employed by Indonesian peasants is able to boost the output in the short term, its negative implications on the environment and the constraints in available forest area casts doubts to its sustainability in the long run. As the results from our iThink model simulation has illustrated, the output will cease increasing and decline in about 90 years” time due to the drastic drop in forest coverage. Based on the sensitivity analysis of the affecting factors, three policy amendments are proposed to avert the gloomy perspective, namely increasing funding for Research and Development, curbing burning activities, and actively returning abandoned land to forests. With the effective implementation of the suggested policies, the growth in the agricultural sector will be steered back to a sustainable track, which is further confirmed by the model projection.

TCP10L negatively regulates alpha-fetoprotein expression in hepatocellular carcinoma

Suqin Shen,Huan Feng,Longjiang Liu,Wei Su,Jiaxue Wu,Long Yu 생화학분자생물학회 2020 BMB Reports Vol.53 No.8

Alpha-fetoprotein (AFP) is one of the most commonly used and reliable biomarkers for Hepatocellular carcinoma (HCC). However, the underlying mechanism of AFP expression in HCC is poorly understood. In this study, we found that TCP10L, a gene specifically expressed in the liver, is down-regulated in HCC and that its expression inversely correlates with AFP expression. Moreover, overexpression of TCP10L suppresses AFP expression whereas knockdown of TCP10L increases AFP expression, suggesting that TCP10L might be a negative regulator of AFP. We found that TCP10L is associated with the AFP promoter and inhibits AFP promoter-driven transcriptional activity. Taken together, these results indicate that TCP10L negatively regulates AFP expression in HCC and that it could be a potential prognostic marker and therapeutic target for HCC.

TCP10L synergizes with MAD1 in transcriptional suppression and cell cycle arrest through mutual interaction

( Suqin Shen ),( Jie Zuo ),( Huan Feng ),( Meirong Bai ),( Chenji Wang ),( Youheng Wei ),( Yanhong Li ),( Yichen Le ),( Jiaxue Wu ),( Yanhua Wu ),( Long Yu ) 생화학분자생물학회(구 한국생화학분자생물학회) 2016 BMB Reports Vol.49 No.6

T-complex protein 10A homolog 2 (TCP10L) was previously demonstrated to be a potential tumor suppressor in human hepatocellular carcinoma (HCC). However, little is known about the molecular mechanism. MAX dimerization protein 1 (MAD1) is a key transcription suppressor that is involved in regulating cell cycle progression and Myc-mediated cell transformation. In this study, we identified MAD1 as a novel TCP10L-interacting protein. The interaction depends on the leucine zipper domain of both TCP10L and MAD1. TCP10L, but not the interaction-deficient TCP10L mutant, synergizes with MAD1 in transcriptional repression, cell cycle G1 arrest and cell growth suppression. Mechanistic exploration further revealed that TCP10L is able to stabilize intracellular MAD1 protein level. Consistently, the MAD1-interaction-deficient TCP10L mutant exerts no effect on stabilizing the MAD1 protein. Taken together, our results strongly indicate that TCP10L stabilizes MAD1 protein level through direct interaction, and they cooperatively regulate cell cycle progression. [BMB Reports 2016; 49(6): 325-330]