Thermodynamic Investigation of Methanol and Dimethyl Ether Synthesis from CO2 Hydrogenation

Shen, Wen Jie,Jun, Ki Won,Choi, Ho Suk,Lee, Kyu Wan 한국화학공학회 2000 Korean Journal of Chemical Engineering Vol.17 No.2

The thermodynamics involved in the catalytic hydrogenation of CO₂ have been examined extensively. By assuming that methanol and dimethyl ether (DME) are the main products, two reaction systems each consisting of two pararell reactions were analyzed and compared in terms of the equilibrium yield and selectivity of the useful products, methanol and DME. The calculation results demonstrated that the production of DME allows much higher oxygenate yield and selectivity than that of methanol.

Neuronal Signatures of Negative and Positive Schemas towards the Self and Others in Patients with Early Stage Schizophrenia

Jie Shen,Guangfan Shen,Woo-Sung Kim,Uyanga Tsogt,Congcong Liu,Jing Sui,Young-Chul Chung 대한신경정신의학회 2021 PSYCHIATRY INVESTIGATION Vol.18 No.4

Objective The present study investigated the functional neuroanatomy underlying negative and positive schemas towards the self and others in patients with early stage schizophrenia spectrum disorders (SSDs) using a task-based fMRI procedure. Methods This study included 50 patients with SSDs and 52 controls. The schema-evoking task consisted of four active conditions and neutral condition. Differences in brain activation were compared between the two groups. Correlation analysis was performed between task-related activation and psychopathology. Results The SSD patients exhibited higher activity of the left middle and inferior frontal gyri under the negative-others minus neutral contrast as well as greater activation of the left superior and middle frontal gyri and right medial superior frontal gyrus under the posi-tive-self minus neutral and positive-others minus neutral contrasts. Under the positive-others minus neutral contrast, negative correlation was observed between activity of the right inferior parietal gyrus and right angular and total score of the Positive and Negative Syndrome Scale (PANSS), whereas positive correlation between activity of the left middle cingulate gyrus and left/right precuneus and positive-oth-ers score of the Brief Core Schema Scales (BCSS). Conclusion The present findings suggest that the frontal brain regions of SSD patients are more sensitive to negative and positive sche-mas towards the self and/or others compared to those of controls. Psychiatry Investig 2021;18(4):284-294

A QUASI-NEWTON BUNDLE METHOD BASED ON APPROXIMATE SUBGRADIENTS

Jie, Shen,Pang, Li-Ping 한국전산응용수학회 2007 Journal of applied mathematics & informatics Vol.23 No.1

In this paper we propose an implementable method for solving a nonsmooth convex optimization problem by combining Moreau-Yosida regularization, bundle and quasi-Newton ideas. The method we propose makes use of approximate subgradients of the objective function, which makes the method easier to implement. We also prove the convergence of the proposed method under some additional assumptions.

A general construction method of the forcing term for discrete unified gas kinetic scheme in the thermal and compressible cases

Jie Shen,Zhiming Lu,Lian-Ping Wang 한국전산유체공학회 2022 한국전산유체공학회 학술대회논문집 Vol.2022 No.10

A band selection method for hyperspectral image classification based on improved Particle Swarm Optimization

Jie Shen,Chao Wang,Ruili Wang,Fengchen Huang,Chao Fan,Lizhong Xu 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.4

With the development of spectral imaging technology, it makes hyperspectral imagery widely used. According to the features of multiple bands and the strong mutual correlation among these bands, this paper presents a band selection method for hyperspectral imagery classification based on improved PSO (Particle Swarm Optimization). First of all, we use information divergence to describe the correlation of the bands, then build the information divergence matrix to make the classification of subspaces. Secondly, we construct the fitness function of the algorithm with the band information and categories of the Bhattacharyya distance (B distance) to improve the inertia weight updating method in PSO. Finally, based on the AVIRIS hyperspectral imagery and compared with existing method to conduct experiments, the average classification accuracy of the proposed method is 81.36%, which is distinctly improved 0.91% compared with the existed method. Meanwhile, the proposed method has a significantly faster convergence speed during the process of the band selection. Therefore, the experimental results verify the effectiveness of the proposed method in this paper.

Vanillin oxime inhibits lung cancer cell proliferation and activates apoptosis through JNK/ERK-CHOP pathway

Jie Shen,Zhixiang Su 대한생리학회-대한약리학회 2021 The Korean Journal of Physiology & Pharmacology Vol.25 No.4

Lung cancer despite advancement in the medical field continues to be a major threat to human lives and accounts for a high proportion of fatalities caused by cancers globally. The current study investigated vanillin oxime, a derivative of vanillin, against lung cancer cells for development of treatment and explored the mechanism. Cell viability changes by vanillin oxime were measured using MTT as-say. Vanillin oxime-mediated apoptosis was detected in A549 and NCI-H2170 cells at 48 h of exposure by flow cytometry. The CEBP homologous protein (CHOP) and death receptor 5 (DR5) levels were analysed by RT-PCR and protein levels by West-ern blotting. Vanillin oxime in concentration-dependent way suppressed A549 and NCI-H2170 cell viabilities. On exposure to 12.5 and 15 μM concentrations of vanillin oxime elevated Bax, caspase-3, and -9 levels in A549 and NCI-H2170 cells were ob-served. Vanillin oxime exposure suppressed levels of Bcl-2, survivin, Bcl-xL, cFLIP, and IAPs proteins in A549 and NCI-H2170 cells. It stimulated significant elevation in DR4 and DR5 levels in A549 and NCI-H2170 cells. In A549 and NCI-H2170 cells vanillin ox-ime exposure caused significant (p < 0.05) enhancement in CHOP and DR5 mRNA ex-pression. Vanillin oxime exposure of A549 and NCI-H2170 cells led to significant (p < 0.05) enhancement in levels of phosphorylated extracellular-signal-regulated kinase and c-Jun N-terminal kinase. Thus, vanillin oxime inhibits pulmonary cell proliferation via induction of apoptosis through tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) mediated pathway. Therefore, vanillin oxime may be studied further to develop a treatment for lung cancer.

Super-Resolution Reconstruction based on Tukey Norm and Adaptive Bilateral Total Variation

Jie Shen,Feng Xu,Mengxi Xu,Yun Yang,Ruili Wang,Lili Zhang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.5

In Bilateral Total Variation (BTV) regularized super-resolution reconstruction (SRR), the fidelity item is only applicable to a specific noise model, and the fixed weight of BTV regularization term cannot adapt to the changes in an image. Thus, this paper proposes a SRR algorithm based on the Tukey fidelity term and adaptive BTV regularization term. The Tukey fidelity term has a more effective outliers suppression feature to deal with complex noises, and the weight of adaptive BTV regularization term can resize itself according to the changes of image textures, which can achieve the purposes of suppressing noises and preserving edges. Experimental results show that, compared with other algorithms, the proposed algorithm has better vision effects and higher Peak Signal-to-noise Ratio (PSNR) values.

Efficient and Precise Construction of Markerless Manipulations in the Bacillus subtilis Genome

Hao Jie Yu,Xin Yan,Wei Ling Shen,Yu Jia Shen,Ji Zhang,Shun Peng Li 한국미생물 · 생명공학회 2010 Journal of microbiology and biotechnology Vol.20 No.1

中国家族企业风险管理模式研究 : 以浙江地区为例

Jie Piao(朴杰),Zhe Shen(沈哲) 글로벌경영학회 2011 글로벌경영학회지 Vol.8 No.4

In China, More than 90% companies belong to family enterprises in 3 million private companies. With the development of companies, external competition is increasingly fierce. This paper believe that it is necessary to strengthen the relationships among the market oriented strategy, innovation ability and new product competitive advantages. This paper argues that market orientation is the processes of creation, diffusion and reaction; determinants of new product competitive advantage include quality reputation, new product features, novelty of the appearance of new products and accessibility of new products. According to the above assumptions, we designed questionnaire and the investigation objects are 150 senior management who come form 50 family enterprise in Zhejiang area and performed analysis of reliability and validity with nine variables. Results show that the risk management mode of family enterprise adopts market oriented innovation strategy. According to the results, this paper puts forward several suggestions to improve competitiveness of family enterprises. 目前中国300多万家民营企业中, 90%以上是家族企业。随着经济的发展, 企业规模的扩大, 外部竞争日益激烈。本文认为, 中国家族企业在全球竞争背景下, 为规避风险提高其竞争实力, 应强化并营运好市场导向和创造知识能力以及新产品竞争优势这三者间的理论关系。本文认为市场导向就是企业对信息的创造、扩散、反应等过程;知识创造能力包括企业获得顾客知识、竞争知识、技术知识等能力;决定新产品竞争优势的因素有新产品的质量信誉、新产品的独特功能、新产品的外观新颖性、新产品的易接近性等。根据以上设定, 按照变量的定义设计了问卷调查内容, 调查对象选择了浙江地区50个家族企业, 并面向这些家族企业的中高层管理人员共计150人发放了问卷, 并九个变量进行效度和信度分析。分析结果显示, 中国浙江地区家族企业风险管理模式是通过以市场导向的知识创造能力开发出具有竞争优势的新产品来实现。根据这一结果, 本文提出了七项家族企业的建议。

Integration of Network Topological and Connectivity Properties for Neuroimaging Classification

Jie, Biao,Zhang, Daoqiang,Gao, Wei,Wang, Qian,Wee, Chong-Yaw,Shen, Dinggang IEEE 2014 IEEE Transactions on Biomedical Engineering Vol.61 No.2

<P>Rapid advances in neuroimaging techniques have provided an efficient and noninvasive way for exploring the structural and functional connectivity of the human brain. Quantitative measurement of abnormality of brain connectivity in patients with neurodegenerative diseases, such as mild cognitive impairment (MCI) and Alzheimer's disease (AD), have also been widely reported, especially at a group level. Recently, machine learning techniques have been applied to the study of AD and MCI, i.e., to identify the individuals with AD/MCI from the healthy controls (HCs). However, most existing methods focus on using only a single property of a connectivity network, although multiple network properties, such as local connectivity and global topological properties, can potentially be used. In this paper, by employing multikernel based approach, we propose a novel connectivity based framework to integrate multiple properties of connectivity network for improving the classification performance. Specifically, two different types of kernels (i.e., vector-based kernel and graph kernel) are used to quantify two different yet complementary properties of the network, i.e., local connectivity and global topological properties. Then, multikernel learning (MKL) technique is adopted to fuse these heterogeneous kernels for neuroimaging classification. We test the performance of our proposed method on two different data sets. First, we test it on the functional connectivity networks of 12 MCI and 25 HC subjects. The results show that our method achieves significant performance improvement over those using only one type of network property. Specifically, our method achieves a classification accuracy of 91.9%, which is 10.8% better than those by single network-property-based methods. Then, we test our method for gender classification on a large set of functional connectivity networks with 133 infants scanned at birth, 1 year, and 2 years, also demonstrating very promising results.</P>