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Monofunctional Platinum(II) Anticancer Agents
2021
Pharmaceuticals
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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
doi:10.3390/ph14020133
pmid:33562293
pmcid:PMC7915149
fatcat:ynzizvalovcu3nxpkstebfjcse
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... 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.
Identifying Mild Cognitive Impairment in Parkinson's Disease With Electroencephalogram Functional Connectivity
2021
Frontiers in Aging Neuroscience
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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
doi:10.3389/fnagi.2021.701499
pmid:34276350
pmcid:PMC8281812
doaj:6ed57d9a9eda4da4ba4fe3cddd6ba5c1
fatcat:ebhefurj4vbuzifc7hbapzigiq
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... 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 [...]
A Programming of Genetic Algorithm in Matlab7.0
2011
Modern Applied Science
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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
2017
Oncology Letters
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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
doi:10.3892/ol.2017.5964
pmid:28588702
pmcid:PMC5452900
fatcat:ocxbusb5u5bcdecc6nipa3pdby
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... 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.
Commonsense knowledge adversarial dataset that challenges ELECTRA
[article]
2020
arXiv
pre-print
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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
2018
China economic review
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Artificial electromagnetic field with cold atoms in two-dimensional optical lattice
[article]
2019
arXiv
pre-print
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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
arXiv:1912.10369v1
fatcat:f2x3laoyzzgbbpifgl4trdj4ya
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... 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.
Investigating of Simulation Methods for Synthetic Jet
2012
Procedia Engineering
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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
doi:10.1016/j.proeng.2012.01.1045
fatcat:uejtvijkqbgwxpanp5jmz2x73a
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... 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.
On Full Diversity Space-Time Block Codes with Partial Interference Cancellation Group Decoding
[article]
2008
arXiv
pre-print
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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
arXiv:0805.2629v1
fatcat:zndxjprl75hfnil3qx7mdmzgdu
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... 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.
Scaling Word2Vec on Big Corpus
2019
Data Science and Engineering
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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
doi:10.1007/s41019-019-0096-6
fatcat:lpdp6byjmnfaxc2ag7p3tcrssm
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... 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.
An Elementary Condition for Non-Norm Elements
2009
IEEE Transactions on Information Theory
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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
2021
IEEE Access
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Hierarchical Structure-Feature Aware Graph neural network for Node Classification
2022
IEEE Access
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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
2018
RSC Advances
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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
2020
IEEE Access
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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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