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Monofunctional Platinum(II) Anticancer Agents

Suxing Jin, Yan Guo, Zijian Guo, Xiaoyong Wang
2021 Pharmaceuticals  
Platinum-based anticancer drugs represented by cisplatin play important roles in the treatment of various solid tumors. However, their applications are largely compromised by drug resistance and side effects. Much effort has been made to circumvent the drug resistance and general toxicity of these drugs. Among multifarious designs, monofunctional platinum(II) complexes with a general formula of [Pt(3A)Cl]+ (A: Ammonia or amine) stand out as a class of "non-traditional" anticancer agents hopeful
more » ... to overcome the defects of current platinum drugs. This review aims to summarize the development of monofunctional platinum(II) complexes in recent years. They are classified into four categories: fluorescent complexes, photoactive complexes, targeted complexes, and miscellaneous complexes. The intention behind the designs is either to visualize the cellular distribution, or to reduce the side effects, or to improve the tumor selectivity, or inhibit the cancer cells through non-DNA targets. The information provided by this review may inspire researchers to conceive more innovative complexes with potent efficacy to shake off the drawbacks of platinum anticancer drugs.
doi:10.3390/ph14020133 pmid:33562293 pmcid:PMC7915149 fatcat:ynzizvalovcu3nxpkstebfjcse

Identifying Mild Cognitive Impairment in Parkinson's Disease With Electroencephalogram Functional Connectivity

Min Cai, Min Cai, Ge Dang, Ge Dang, Xiaolin Su, Xiaolin Su, Lin Zhu, Lin Zhu, Xue Shi, Xue Shi, Sixuan Che, Sixuan Che (+7 others)
2021 Frontiers in Aging Neuroscience  
ObjectiveCognitive impairment occurs frequently in Parkinson's disease (PD) and negatively impacts the patient's quality of life. However, its pathophysiological mechanism remains unclear, hindering the development of new therapies. Changes in brain connectivity are related to cognitive impairment in patients with PD, with the dorsolateral prefrontal cortex (DLPFC) being considered the essential region related to PD cognitive impairment. Nevertheless, few studies have focused on the global
more » ... ctivity responsible for communication with the DLPFC node, the posterior division of the middle frontal gyrus (PMFG) in patients with PD; this was the focus of this study.MethodsWe applied resting-state electroencephalography (EEG) and calculated a reliable functional connectivity measurement, the debiased weighted phase lag index (dWPLI), to examine inter-regional functional connectivity in 68 patients with PD who were classified into two groups according to their cognitive condition.ResultsWe observed that altered left and right PMFG-based functional connectivity associated with cognitive impairment in patients with PD in the theta frequency bands under the eyes closed condition (r = −0.426, p < 0.001 and r = −0.437, p < 0.001, respectively). Exploratory results based on the MoCA subdomains indicated that poorer visuospatial function was associated with higher right PMFG-based functional connectivity (r = −0.335, p = 0.005), and poorer attention function was associated with higher left and right PMFG-based functional connectivity (r = −0.380, p = 0.001 and r = −0.256, p = 0.035, respectively). Further analysis using logistic regression and receiver operating characteristic (ROC) curves found that this abnormal functional connectivity was an independent risk factor for cognitive impairment [odds ratio (OR): 2.949, 95% confidence interval (CI): 1.294–6.725, p = 0.01 for left PMFG; OR: 11.278, 95% CI: 2.578–49.335, p = 0.001 for right PMFG, per 0.1 U], and provided moderate classification power to discriminate between cogni [...]
doi:10.3389/fnagi.2021.701499 pmid:34276350 pmcid:PMC8281812 doaj:6ed57d9a9eda4da4ba4fe3cddd6ba5c1 fatcat:ebhefurj4vbuzifc7hbapzigiq

A Programming of Genetic Algorithm in Matlab7.0

Cheng Guo, Xiaoyong Yang
2011 Modern Applied Science  
The genetic algorithm is briefly introduced and its complete programming is provided in detail by MATLAB7.0. In addition, the application in optimization of functions and solution of equation is shown through three examples and the method of avoiding local optimization by increasing the value of pm is also discussed.
doi:10.5539/mas.v5n1p230 fatcat:4goyjnbwtnd6hfgfeeswig7oem

miR-564 is downregulated in gastric carcinoma and targets E2F3

Yong Guo, Yong Qi, Aitao Guo, Chengxiong Du, Rong Zhang, Xiaoyong Chu
2017 Oncology Letters  
Numerous aberrantly expressed microRNAs (miRNAs/miRs) have been identified in gastric cancer (GC); however, only a fraction of these have been functionally investigated and novel deregulated miRNAs in GC remain to be explored. Through examining two public miRNA expression profile datasets, the present study identified aberrantly expressed miRNAs in GC. One of these miRNA, miR-564, was identified to be downregulated in GC, which was validated in tissue samples from patients with GC by reverse
more » ... nscription-quantitative polymerase chain reaction analysis. Targets of miR-564 were then predicted bioinformatically, including transcription factor E2F3 (E2F3), which was identified to be functionally enriched in several cancer signaling pathways. Furthermore, overexpression of miR-564 decreased the activity of a luciferase reporter carrying the 3'-untranslated region of E2F3, in addition to the mRNA and protein level of E2F3, indicating that miR-564 directly targets E2F3. These data suggest that by targeting E2F3, miR-564 may act as a tumor suppressor gene in gastric carcinogenesis.
doi:10.3892/ol.2017.5964 pmid:28588702 pmcid:PMC5452900 fatcat:ocxbusb5u5bcdecc6nipa3pdby

Commonsense knowledge adversarial dataset that challenges ELECTRA [article]

Gongqi Lin, Yuan Miao, Xiaoyong Yang, Wenwu Ou, Lizhen Cui, Wei Guo, Chunyan Miao
2020 arXiv   pre-print
Commonsense knowledge adversarial dataset that challenges ELECTRA* Gongqi Lin, Yuan Miao, Xiaoyong Yang, Wenwu Ou, Lizhen Cui, Wei Guo, Chunyan Miao , many cases are showing that NLP models are still very  ...  Xiaoyong Yang is with the Alibaba, Beijing China (e-mail: xiaoyong.yxy@alibaba-inc.com) Wenwu Ou is with the Alibaba, Beijing China (e-mail: santong.oww@taobao.com) Lizhen Cui is with Shandong University  ... 
arXiv:2010.13049v1 fatcat:ehcsia5lnjhotc5nh6drmqssga

The formation of Taobao villages in China

Jiaqi Qi, Xiaoyong Zheng, Hongdong Guo
2018 China economic review  
doi:10.1016/j.chieco.2018.08.010 fatcat:i4nekmx3ingtjackoaokptyjcy

Artificial electromagnetic field with cold atoms in two-dimensional optical lattice [article]

Xiaoyong Guo, Yu Chen, Jian Liu
2019 arXiv   pre-print
We propose that an artificial electromagnetic field can be engineered in the context of cold fermionic atoms that are coupled to a cavity mode via two-photon processes in a two-dimensional optical lattice. There is a standing-wave pump laser inducing the electric effect in one spatial direction, and a second running-wave laser beam generates the magnetic flux perpendicular to the lattice plane. In the static scenario, the bulk spectrum resembles the fractal structure of the Hofstadter butterfly
more » ... and the edge mode spectrum indicates the occurrence of the quantum Hall phase. The Keldysh formulism is utilized to capture the time evolution. The back action between atoms and cavity field gives a picture of the time-dependent non-equilibrium dynamics. We find that the spontaneous emergence of the artificial electromagnetic field stimulates the Hall current, and the superradiant cavity field emerges without pump threshold. Moreover, the magnetic flux not only modify the bulk topology, but also drives a series of dynamical phase transitions.
arXiv:1912.10369v1 fatcat:f2x3laoyzzgbbpifgl4trdj4ya

Investigating of Simulation Methods for Synthetic Jet

Xiaoyong Ma, Hongtao Guo, Zhaolin Fan, Lin Zhang
2012 Procedia Engineering  
Periodic velocity inlet and dynamic mesh boundary conditions are always used to simulate oscillatory piston of synthetic jet. Periodic velocity inlet condition is an easy way to simulate oscillation of membrane of synthetic jet, and dynamic mesh boundary condition is a realistic method using moving grid to simulate the motion of piston, but it needs more computing time because of updating the new grid topology at every time step. In this paper, the two influence for synthetic jet simulation is
more » ... nvestigated, and two cases with different boundary conditions are conducted respectively in low Reynolds number laminar flow. The results show that the velocity profiles near the orifice are different distinctly on 0 and 180 phase, the max speed difference at center of orifice is about 0.017 m/s at the end of third period, which increased by 150% of the simulating results with dynamic mesh boundary method. On the other hand, the vortex dye-structure is a little different near the oscillating membrane located at the cavity bottom though it is same commonly outside of synthetic jet when using the two simulation methods. The simulation method with dynamic mesh is more reasonable because it is realistic motion of piston in fact, and the time cost is not more heavily than velocity inlet boundary condition.
doi:10.1016/j.proeng.2012.01.1045 fatcat:uejtvijkqbgwxpanp5jmz2x73a

On Full Diversity Space-Time Block Codes with Partial Interference Cancellation Group Decoding [article]

Xiaoyong Guo, Xiang-Gen Xia
2008 arXiv   pre-print
In this paper, we propose a partial interference cancellation (PIC) group decoding for linear dispersive space-time block codes (STBC) and a design criterion for the codes to achieve full diversity when the PIC group decoding is used at the receiver. A PIC group decoding decodes the symbols embedded in an STBC by dividing them into several groups and decoding each group separately after a linear PIC operation is implemented. It can be viewed as an intermediate decoding between the maximum
more » ... hood (ML) receiver that decodes all the embedded symbols together, i.e., all the embedded symbols are in a single group, and the zero-forcing (ZF) receiver that decodes all the embedded symbols separately and independently, i.e., each group has and only has one embedded symbol, after the ZF operation is implemented. Our proposed design criterion for the PIC group decoding to achieve full diversity is an intermediate condition between the loosest ML full rank criterion of codewords and the strongest ZF linear independence condition of the column vectors in the equivalent channel matrix. We also propose asymptotically optimal (AO) group decoding algorithm, which is an intermediate decoding between the MMSE decoding algorithm and the ML decoding algorithm. The design criterion for the PIC group decoding applies to the AO group decoding algorithm. It is well-known that the symbol rate for a full rank linear STBC can be full, i.e., n_t for n_t transmit antennas. It has been recently shown that its rate is upper bounded by 1 if a code achieves full diversity with a linear receiver. The intermediate criterion proposed in this paper provides the possibility for codes of rates between n_t and 1 that achieve full diversity with a PIC group decoding. This therefore provides a complexity-performance-rate tradeoff.
arXiv:0805.2629v1 fatcat:zndxjprl75hfnil3qx7mdmzgdu

Scaling Word2Vec on Big Corpus

Bofang Li, Aleksandr Drozd, Yuhe Guo, Tao Liu, Satoshi Matsuoka, Xiaoyong Du
2019 Data Science and Engineering  
Word embedding has been well accepted as an important feature in the area of natural language processing (NLP). Specifically, the Word2Vec model learns high-quality word embeddings and is widely used in various NLP tasks. The training of Word2Vec is sequential on a CPU due to strong dependencies between word-context pairs. In this paper, we target to scale Word2Vec on a GPU cluster. To do this, one main challenge is reducing dependencies inside a large training batch. We heuristically design a
more » ... ariation of Word2Vec, which ensures that each word-context pair contains a non-dependent word and a uniformly sampled contextual word. During batch training, we "freeze" the context part and update only on the nondependent part to reduce conflicts. This variation also directly controls the training iterations by fixing the number of samples and treats high-frequency and low-frequency words equally. We conduct extensive experiments over a range of NLP tasks. The results show that our proposed model achieves a 7.5 times acceleration on 16 GPUs without accuracy drop. Moreover, by using high-level Chainer deep learning framework, we can easily implement Word2Vec variations such as CNN-based subword-level models and achieves similar scaling results.
doi:10.1007/s41019-019-0096-6 fatcat:lpdp6byjmnfaxc2ag7p3tcrssm

An Elementary Condition for Non-Norm Elements

Xiaoyong Guo, Xiang-Gen Xia
2009 IEEE Transactions on Information Theory  
The authors are with the Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716 USA (e-mail: guo@ee.udel.edu; xxia@ee.udel.edu). Communicated by S. W.  ... 
doi:10.1109/tit.2008.2011444 fatcat:zqfg7iocqzch7db4ru57ssi43e

Single Shot Multibox Detector with Deconvolutional Region Magnification Procedure

Yizhong Wang, Penghui Niu, Xiaoyong Guo, Guowei Yang, Jun Chen
2021 IEEE Access  
doi:10.1109/access.2021.3068486 fatcat:2l6twp2d55gqzhhnedxfwxengi

Hierarchical Structure-Feature Aware Graph neural network for Node Classification

Wenbin Yao, Ke Guo, Yingying Hou, Xiaoyong Li
2022 IEEE Access  
XIAOYONG LI (Member, IEEE) is currently a Professor with the Beijing University of Posts and Telecommunications.  ...  KE GUO received the B.E. degree from the School of Computer and Information Engineering, Henan University, Henan, China, in 2019.  ... 
doi:10.1109/access.2022.3164691 fatcat:fb4wa5bffbhujnxe7kuaya6gpe

Synthesis and photoluminescence properties of Eu3+-activated LiCa3ZnV3O12 white-emitting phosphors

Xiaoyong Huang, Heng Guo
2018 RSC Advances  
A novel high-efficiency white-emitting LiCa3ZnV3O12:Eu3+ phosphor was developed.
doi:10.1039/c8ra03075h pmid:35539259 pmcid:PMC9080435 fatcat:b64ppuyoancelhizsdjphn77ti

Performance Analysis of Routing Protocols for UAV Communication Networks

Xiaopeng Tan, Zhen Zuo, Shaojing Su, Xiaojun Guo, Xiaoyong Sun, Deng Jiang
2020 IEEE Access  
XIAOJUN GUO received the B.S., M.S., and Ph.D. degrees in instrument science and technology from the National University of Defense Technology, Changsha, China, in 2005, 2007, and 2013, respectively.  ...  XIAOYONG SUN received the B.S. degree from the Hebei University of Technology, Tianjin, China, in 2013, and the M.S. degrees from the National University of Defense Technology, Changsha, China, in 2016  ... 
doi:10.1109/access.2020.2995040 fatcat:ttitictqbffohfbvlaauxbz5yu
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