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RETRACTED ARTICLE: Codelivery of HIF-1α siRNA and Dinaciclib by Carboxylated Graphene Oxide-Trimethyl Chitosan-Hyaluronate Nanoparticles Significantly Suppresses Cancer Cell Progression

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Pharmaceutical research 2020年第10期37卷 1-20页

作者： Izadi, Sepideh Moslehi, Asma Kheiry, Hadiseh Karoon Kiani, Fariba Ahmadi, Armin Masjedi, Ali Ghani, Sepideh Rafiee, Behnam Karpisheh, Vahid Hajizadeh, Farnaz Atyabi, Fatemeh Assali, Akram Mirzazadeh tekie, Farnaz Sadat Namdar, Afshin Ghalamfarsa, Ghasem Sojoodi, Mozhdeh Jadidi-Niaragh, Farhad Immunology Research Center Tabriz University of Medical Sciences Tabriz Iran Student Research Committee Tabriz University of Medical Sciences Tabriz Iran Division of Genetics Department of Biology Faculty of Science University of Isfahan Isfahan Iran Department of Chemical and Materials Engineering The University of Alabama in Huntsville Huntsville USA Drug Applied Research Center Tabriz University of Medical Sciences Tabriz Iran Student Research Committee Department of Biotechnology School of Advanced Technologies in Medicine Shahid Beheshti University of Medical Sciences Tehran Iran Department of Biology Faculty of Basic Science Payame Noor University Tehran Iran Nanotechnology Research Centre Faculty of Pharmacy Tehran University of Medical Sciences Tehran Iran Department of radiopharmacy Faculty of Pharmacy Tehran University of Medical Sciences Tehran Iran Department of Oncology Cross Cancer Institute The University of Alberta Edmonton Canada Cellular and Molecular Research Center Yasuj University of Medical Sciences Yasuj Iran Division of Surgical Oncology Massachusetts General Hospital Cancer Center and Harvard Medical School Boston USA Department of Immunology Faculty of Medicine Tabriz University of Medical Sciences Tabriz Iran

Hypoxia-inducible factor (HIF) is one of the critical components of the tumor microenvironment that is involved in tumor development. HIF-1α functionally and physically interacts with CDK1, 2, and 5 and stimulates the cell cycle progression and Cyclin-Dependent Kinase (CDK) expression. Therefore, hypoxic tumor microenvironment and CDK overexpression lead to increased cell cycle progression and tumor expansion. Therefore, we decided to suppress cancer cell expansion by blocking HIF-1α and CDK molecules. In the present study, we used the carboxylated graphene oxide (CGO) conjugated with trimethyl chitosan (TMC) and hyaluronate (HA) nanoparticles (NPs) loaded with HIF-1α-siRNA and Dinaciclib, the CDK inhibitor, for silencing HIF-1α and blockade of CDKs in CD44-expressing cancer cells and evaluated the impact of combination therapy on proliferation, metastasis, apoptosis, and tumor growth. The results indicated that the manufactured NPs had conceivable physicochemical properties, high cellular uptake, and low toxicity. Moreover, combination therapy of cancer cells using CGO-TMC-HA NPs loaded with HIF-1α siRNA and Dinaciclib (SCH 727965) significantly suppressed the CDKs/HIF-1α and consequently, decreased the proliferation, migration, angiogenesis, and colony formation in tumor cells. These results indicate the ability of CGO-TMC-HA NPs for dual drug/gene delivery in cancer treatment. Furthermore, the simultaneous inhibition of CDKs/HIF-1α can be considered as a novel anti-cancer treatment strategy; however, further research is needed to confirm this treatment in vivo.

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MemNetAR: Memory Network with Adversative Relation for Target-Level Sentiment Classification

MemNetAR: Memory Network with Adversative Relation for Targe...

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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Yiwei Gao Jianwei Niu Xuefeng Liu Kaili Mao Shui Yu State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing China Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC) Beihang University Hangzhou Innovation Research Institute Beihang University School of Computer Science and Cyber Engineering Guangzhou University Guangdong China

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Target-level sentiment classification aims to identify the sentiment of multiple targets in a sentence. Although existing approaches based on neural network have achieved good performance in this task, we find that many approaches tend to give the same predictions for instances that have multiple targets, and this tendency can make a low accuracy for those instances that have different classes for different targets. Based on this observation, we propose MemNetAR, a memory network which can explicitly leverage the adversative relation among multiple targets in a sentence. Specifically, we add an adversative loss to the cross-entropy loss when there are adversative words between targets. The experimental results on public laptop and restaurant datasets prove that our model can improve 0.84% and 0.8% on total test dataset, and improve 2.97% and 2.68% on the dataset consisting of those instances with multiple targets but different classes by leveraging this new adversative information.

关键词： Task analysis Feature extraction Sentiment analysis Portable computers Machine learning Training Predictive models

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A new nonlinear oscillator with infinite number of coexisting hidden and self-excited attractors

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Chinese Physics B 2018年第4期27卷 208-213页

作者： Yan-Xia Tang Abdul Jalil M Khalaf Karthikeyan Rajagopal Viet-Thanh Pham Sajad Jafari Ye Tian College of Science Hebei North University Zhangjiakou 075000 China Engineering Technology Research Center of Population Health lnformatization in Hebei Province Zhangjiakou 075000 China Department of Mathematics Faculty of Computer Science and Mathematics University of Kufa Najaf Iraq Department of Electrical and Communication Engineering the PNG University of Technology Lae Centre for Nonlinear Dynamics Defense University Ethiopia Modeling Evolutionary Algorithms Simulation and Artificial Intelligence Faculty of Electrical & Electronics Engineering Ton Duc Thang University Ho Chi Mirth City Vietnam Biomedical Engineering Department Amirkabir University of Technology Tehran 15875-4413 Iran

In this paper,we introduce a new two-dimensional nonlinear oscillator with an infinite number of coexisting limit *** limit cycles form a layer-by-layer structure which is very *** percent of these limit cycles are self-excited attractors while sixty percent of them are hidden *** this new system to its forced version,we introduce a new chaotic system with an infinite number of coexisting strange *** implement this system through field programmable gate arrays.

关键词： chaotic oscillators multistability hidden attractors

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Communication cost of quantum channels

arXiv

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arXiv 2020年

作者： Yang, Yuxiang Chiribella, Giulio Hayashi, Masahito Institute for Theoretical Physics ETH Zurich Department of Computer Science University of Hong Kong Pokfulam Road Hong Kong Department of Computer Science University of Oxford Parks Road Oxford United Kingdom HKU Shenzhen Institute of Research and Innovation Kejizhong 2nd Road Shenzhen China Perimeter Institute For Theoretical Physics 31 Caroline Street North WaterlooONN2L 2Y5 Canada Graduate School of Mathematics Nagoya University Nagoya464-8602 Japan Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen518055 China Center for Quantum Computing Peng Cheng Laboratory Shenzhen518000 China Centre for Quantum Technologies National University of Singapore 3 Science Drive 2 117542 Singapore

In distributed computing, it is common for a server to execute a program of a remote client, consuming the minimum amount of communication. We extend such a setting to the quantum regime and consider the task of communicating quantum channels for the purpose of executing them a given number of times. We derive a general lower bound for the amount of required communication. The bound shows that the amount of required communication is positively correlated to the performance of the channels in quantum metrology. We also propose a protocol achieving the bound for a type of channels. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum entanglement

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BCMA: an integrative and versatile database for multi-scale and multi-omics molecular atlas of breast cancer

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Computational and Structural Biotechnology Journal 2025年

作者： Wenbo Guo Zikang Yin Qinglin Mei Lianshuo Li Yonghui Gong Xinqi Li Wei Zhang Wenjie Lei Bingqiang Liu Lin Hou Mei Yang Jin Gu MOE Key Lab of Bioinformatics BNRIST Bioinformatics Division Department of Automation Tsinghua University Beijing China State Key Laboratory of Experimental Hematology National Clinical Research Center for Blood Diseases Haihe Laboratory of Cell Ecosystem Institute of Hematology & Blood Diseases Hospital Chinese Academy of Medical Sciences & Peking Union Medical College Tianjin China Hainan Zhongke Data Source Technology Co. Ltd. Hainan China Department of Biomedical Engineering School of Control Science and Engineering Shandong University Jinan Shandong China School of Mathematics Shandong University Jinan China Department of Statistics and Data Science Tsinghua University Beijing China MOE Key Laboratory of Bioinformatics School of Life Sciences Tsinghua University Beijing China Department of Breast Surgery Zhujiang Hospital of Southern Medical University (the Second Clinical Medical College) Guangzhou China

Breast cancer (BC) is one of the most common cancer types among women worldwide. Understanding the complex molecular and cellular characteristics of BC is crucial for advancing precision treatment. To enable more reliable and reproducible biological discoveries, it is critical to collect molecular data from diverse BC cohorts and establish an integrative, versatile analysis platform. Here, we present BCMA (Breast Cancer Molecular Atlas, http://***/database/bcma/ ), a multi-scale, multi-omics BC database that encompasses 6 bulk multi-omics datasets and 9 single-cell transcriptomics datasets, collectively covering 5,424 cases and 236,363 cells. The BCMA systemically characterizes the molecular features of BC, including gene mutations, copy number alterations, RNA expression, miRNA expression, DNA methylation, as well as clinical phenotypes and cell heterogeneity. Meanwhile, a user-friendly interface for gene-centered search is provided, achieving the clinical information statistics, genomic events analysis, differential multi-omics feature identification, functional enrichment analysis, survival analysis, co-expression analysis, as well as single-cell gene expression profiling and cell type annotation. This platform holds great potential to enhance the understanding of molecular characteristics underlying BC and to facilitate the identification of disease-associated biomarkers.

关键词： breast cancer database molecular atlas multi-omics Single-cell

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Author Correction: High-performance compliant thermoelectric generators with magnetically self-assembled soft heat conductors for self-powered wearable electronics

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Nature communications 2021年第1期12卷 1289页

作者： Byeongmoon Lee Hyeon Cho Kyung Tae Park Jin-Sang Kim Min Park Heesuk Kim Yongtaek Hong Seungjun Chung Department of Electrical and Computer Engineering Inter-University Semiconductor Research Center (ISRC) Seoul National University Seoul 08826 Korea. Soft Hybrid Materials Research Center Korea Institute of Science and Technology Seoul 02792 Korea. Institute of Advanced Composite Materials Korea Institute of Science and Technology Wanju Jeonbuk 55324 Korea. KHU-KIST Department of Converging Science and Technology Kyung Hee University Seoul 02447 Korea. Soft Hybrid Materials Research Center Korea Institute of Science and Technology Seoul 02792 Korea. heesukkim@kist.re.kr. Department of Electrical and Computer Engineering Inter-University Semiconductor Research Center (ISRC) Seoul National University Seoul 08826 Korea. yongtaek@snu.ac.kr. Soft Hybrid Materials Research Center Korea Institute of Science and Technology Seoul 02792 Korea. seungjun@kist.re.kr.

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Tailoring magnetism in self-intercalated Cr1+δTe2 epitaxial films

arXiv

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arXiv 2020年

作者： Fujisawa, Y. Pardo-Almanza, M. Garland, J. Yamagami, K. Zhu, X. Chen, X. Araki, K. Takeda, T. Kobayashi, M. Takeda, Y. Hsu, C.H. Chuang, F.C. Laskowski, R. Khoo, K.H. Soumyanarayanan, A. Okada, Yoshinori Okinawa904-0495 Japan Applied Physics & Mathematics Department Northeastern University BostonMA02115 United States Institute of Materials Research and Engineering Agency for Science Technology and Research Singapore138634 Singapore Department of Electrical Engineering and Information Systems University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Center for Spintronics Research Network University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Condensed Matter Science Division Quantum Beam Science Directorate Japan Atomic Energy Agency 1-1-1 Kouto Sayo-cho Sayo-gunHyogo679-5148 Japan Department of Physics National Sun Yat-sen University Kaohsiung80424 Taiwan Institute of High Performance Computing Agency for Science Technology and Research 138632 Singapore Department of Physics National University of Singapore 117551 Singapore

Magnetic transition metal dichalcogenide (TMD) films have recently emerged as promising candidates to host novel magnetic phases relevant to next-generation spintronic devices. However, systematic control of the magnetization orientation, or anisotropy, and its thermal stability, characterized by Curie temperature (Tc) – remains to be achieved in such films. Here we present self-intercalated epitaxial Cr1+δTe2 films as a platform for achieving systematic/smooth magnetic tailoring in TMD films. Using a molecular beam epitaxy (MBE) based technique, we have realized epitaxial Cr1+δTe2 films with smoothly tunable δ over a wide range (0.33-0.82), while maintaining NiAs-type crystal structure. With increasing δ, we found monotonic enhancement of Tc from 160 to 350 K, and the rotation of magnetic anisotropy from out-of-plane to in-plane easy axis configuration for fixed film thickness. Contributions from conventional dipolar and orbital moment terms are insufficient to explain the observed evolution of magnetic behavior with δ. Instead, ab initio calculations suggest that the emergence of antiferromagnetic interactions with δ, and its interplay with conventional ferromagnetism, may play a key role in the observed trends. To our knowledge, this constitutes the first demonstration of tunable Tc and magnetic anisotropy across room temperature in TMD films, and paves the way for engineering novel magnetic phases for spintronic applications. Copyright © 2020, The Authors. All rights reserved.

关键词： Transition metals

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Novel superstructure-phase two-dimensional material 1t-vse2 at high pressure

arXiv

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arXiv 2020年

作者： Sereika, Raimundas Park, Changyong Kenney-Benson, Curtis Bandaru, Sateesh English, Niall J. Yin, Qiangwei Lei, Hechang Chen, Ning Sun, Cheng-Jun Heald, Steve M. Ren, Jichang Chang, Jun Ding, Yang Mao, Ho-Kwang Center for High Pressure Science and Technology Advanced Research Beijing100094 China Vytautas Magnus University K. Donelaičio Str. 58 Kaunas44248 Lithuania High Pressure Collaborative Access Team X-ray Science Division Argonne National Laboratory LemontIL60439 United States College of Materials and Environmental Engineering Institute for Advanced Magnetic Materials Hangzhou Dianzi University Hangzhou310018 China School of Chemical and Bioprocess Engineering University College Dublin Belfield Dublin 4 Ireland Department of Physics Beijing Key Laboratory of Opto-electronic Functional Materials & Micro-nano Devices Renmin University of China Beijing100872 China Canadian Light Source 44 Innovation Boulevard SaskatoonSKS7N 2V3 Canada X-ray Science Division Advanced Photon Source Argonne National Laboratory LemontIL60439 United States Nano and Heterogeneous Materials Center School of Materials Science and Engineering Nanjing University of Science and Technology Nanjing210094 China College of Physics and Information Technology Shaanxi Normal University Xi'an710119 China Geophysical Laboratory Carnegie Institution of Washington WashingtonDC20015 United States

A superstructure can elicit versatile new properties of materials by breaking their original geometrical symmetries. It is an important topic in the layered graphene-like two-dimensional transition-metal dichalcogenides (TMDs), but its origin remains unclear. Using diamond-anvil cell techniques, synchrotron x-ray diffraction, x-ray absorption, and the first-principles calculations, we show that the evolution from the weak Van der Waals bonding to the Heisenberg covalent bonding between layers induces an isostructural transition in quasi-twodimensional 1T-type VSe2 at high pressure. Furthermore, our results show that high-pressure induce a novel superstructure at 15.5 GPa, rather than suppress as it would normally, which is unexpected. It is driven by the Fermi surface nesting, enhanced by the pressure-induced distortion. The results suggest that the superstructure not only appears in the two-dimensional structure but also can emerge in the pressure-tuned three-dimensional structure with new symmetry and develop superconductivity. Copyright © 2020, The Authors. All rights reserved.

关键词： Van der Waals forces

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Electronic and spin structure of O- and H-adsorbed Fe3O4(111) surfaces

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Physical Review B 2019年第8期99卷 085442-085442页

作者： Kanta Asakawa Yoshio Miura Naoki Nagatsuka Kotaro Takeyasu Masuaki Matsumoto Katsuyuki Fukutani Institute of Industrial Science The University of Tokyo 4-6-1 Komaba Meguro-Ku Tokyo 153-8505 Japan Electrical Engineering and Electronics Kyoto Institute of Technology Matsugasaki Sakyo-ku Kyoto 606-8585 Japan Research Center for Magnetic and Spintronic Materials National Institute for Materials Science 1-2-1 Sengen Tsukuba Ibaraki 305-0047 Japan Natural Science Division Tokyo Gakugei University Koganei Tokyo 184-8501 Japan Advanced Science Research Center Japan Atomic Energy Agency (JAEA) Tokai Ibaraki 319-1195 Japan

The adsorption of O and H atoms on the Fe3O4(111) surface was investigated using ultraviolet photoemission spectroscopy (UPS) and first-principles calculations. On the FeA1-terminated surface, H adsorption decreases the work function without changing the density of states near the Fermi level. The density of states near the Fermi level decreases by O adsorption. On the O/FeA1-terminated surface, H adsorption dramatically increases the density of states near the Fermi level, indicating that the Fe 3d state is modified. The first-principles calculations showed that the electronic structure of the surface FeA on the FeA1-terminated surface is half metallic with its spin up forming an isolated spin-polarized conductive layer. By O adsorption, the up-spin band at the Fermi level of the surface FeA site is removed, and the Fermi level of the surface FeA moves to the down-spin t2g band. By subsequent H adsorption, electrons are doped to the FeA1 site, and the surface FeA1 layer becomes semiconducting. These results indicate that the charge and spin structure is modulated by O and H adsorption.

关键词： Adsorption Spin polarization Surface states Ferrites Half-metals First-principles calculations Ultraviolet photoelectron spectroscopy

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Intelligent identification of two-dimensional nanostructures by machine-learning optical microscopy

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Nano research 2018年第12期11卷 6316-6324页

作者： Xiaoyang Lin Zhizhong Si Wenzhi Fu Jianlei Yang Side Guo Yuan Cao Jin Zhang Xinhe Wang Peng Liu Kaili Jiang Weisheng Zhao Fert Beijing Research Institute School ofMicroelectronics & Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC)Beihang UniversityBeijing 100191China Beihang-GoertekJoint Microelectronics Institute Qingdao Research InstituteBeihang UniversityQingdao 266000China Fert Beijing Research Institute School of Computer Science and Engineering & Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC)Beihang UniversityBeijing 100191China State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics & Tsinghua-Foxconn Nanotechnology Research CenterCollaborative Innovation Center of Quantum MatterTsinghua UniversityBeijing 100084China

Two-dimensional (2D) materials and their heterostructures, with wafer-scale synthesis methods and fascinating properties, have attracted significant interest and triggered revolutions in corresponding device applications. However, facile methods to realize accurate, intelligent, and large-area characterizations of these 2D nanostructures are still highly desired. Herein, we report the successful application of machine-learning strategy in the optical identification of 2D nanostructures. The machine-learning optical identification (MOI) method endows optical microscopy with intelligent insight into the characteristic color information of 2D nanostructures in the optical photograph. The experimental results indicate that the MOI method enables accurate, intelligent, and large-area characterizations of graphene, molybdenum disulfide, and their heterostructures, including identifications of the thickness, existence of impurities, and even stacking order. With the convergence of artificial intelligence and nanoscience, this intelligent identification method can certainly promote fundamental research and wafer-scale device applications of 2D nanostructures.

关键词： machine-learning optical identification two-dimensional (2D) material heterostructure artificial intelligence

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