NobleBlocks

Chongqing University of Science and Technology

UniversityChongqing, China

Research output, citation impact, and the most-cited recent papers from Chongqing University of Science and Technology (China). Aggregated across the NobleBlocks index of 300M+ scholarly works.

Total works
14.0K
Citations
348.1K
h-index
145
i10-index
9.0K
Also known as
Chongqing University of Science and Technology重庆科技学院

Top-cited papers from Chongqing University of Science and Technology

The <i>Amborella</i> Genome and the Evolution of Flowering Plants
Amborella Genome Project, Victor A. Albert, W. Brad Barbazuk, Claude W. dePamphilis +4 more
2013· Science910doi:10.1126/science.1241089

Amborella trichopoda is strongly supported as the single living species of the sister lineage to all other extant flowering plants, providing a unique reference for inferring the genome content and structure of the most recent common ancestor (MRCA) of living angiosperms. Sequencing the Amborella genome, we identified an ancient genome duplication predating angiosperm diversification, without evidence of subsequent, lineage-specific genome duplications. Comparisons between Amborella and other angiosperms facilitated reconstruction of the ancestral angiosperm gene content and gene order in the MRCA of core eudicots. We identify new gene families, gene duplications, and floral protein-protein interactions that first appeared in the ancestral angiosperm. Transposable elements in Amborella are ancient and highly divergent, with no recent transposon radiations. Population genomic analysis across Amborella's native range in New Caledonia reveals a recent genetic bottleneck and geographic structure with conservation implications.

A review of treating oily wastewater
Yu Li, Mei Han, Fang He
2013· Arabian Journal of Chemistry786doi:10.1016/j.arabjc.2013.07.020

Petroleum refining unavoidably generates large volumes of oily wastewater. The environmentally acceptable disposal of oily wastewater is a current challenge to the petroleum industry. Nowadays, more attention has been focused on the treatment techniques of oily wastewater. Therefore, oily wastewater treatment has become an urgent problem, and it must be explored and resolved by every oilfield and petroleum company. The development status of treatment methods was summarized from six aspects, which contains flotation, coagulation, biological treatment, membrane separation technology, combined technology and advanced oxidation process. Finally, the development and prospect of treating oily wastewater was predicted.

The coffee genome provides insight into the convergent evolution of caffeine biosynthesis
France Denœud, Lorenzo Carretero‐Paulet, Alexis Dereeper, Gaëtan Droc +4 more
2014· Science660doi:10.1126/science.1255274

Coffee is a valuable beverage crop due to its characteristic flavor, aroma, and the stimulating effects of caffeine. We generated a high-quality draft genome of the species Coffea canephora, which displays a conserved chromosomal gene order among asterid angiosperms. Although it shows no sign of the whole-genome triplication identified in Solanaceae species such as tomato, the genome includes several species-specific gene family expansions, among them N-methyltransferases (NMTs) involved in caffeine production, defense-related genes, and alkaloid and flavonoid enzymes involved in secondary compound synthesis. Comparative analyses of caffeine NMTs demonstrate that these genes expanded through sequential tandem duplications independently of genes from cacao and tea, suggesting that caffeine in eudicots is of polyphyletic origin.

Macrophage membrane functionalized biomimetic nanoparticles for targeted anti-atherosclerosis applications
Yi Wang, Kang Zhang, Tianhan Li, Ali Maruf +4 more
2020· Theranostics399doi:10.7150/thno.47841

Atherosclerosis (AS), the underlying cause of most cardiovascular events, is one of the most common causes of human morbidity and mortality worldwide due to the lack of an efficient strategy for targeted therapy. In this work, we aimed to develop an ideal biomimetic nanoparticle for targeted AS therapy. Methods: Based on macrophage "homing" into atherosclerotic lesions and cell membrane coating nanotechnology, biomimetic nanoparticles (MM/RAPNPs) were fabricated with a macrophage membrane (MM) coating on the surface of rapamycin-loaded poly (lactic-co-glycolic acid) copolymer (PLGA) nanoparticles (RAPNPs). Subsequently, the physical properties of the MM/RAPNPs were characterized. The biocompatibility and biological functions of MM/RAPNPs were determined in vitro. Finally, in AS mouse models, the targeting characteristics, therapeutic efficacy and safety of the MM/RAPNPs were examined.

Facet-Dependent Photocatalytic N<sub>2</sub> Fixation of Bismuth-Rich Bi<sub>5</sub>O<sub>7</sub>I Nanosheets
Yang Bai, Liqun Ye, Ting Chen, Li Wang +3 more
2016· ACS Applied Materials & Interfaces371doi:10.1021/acsami.6b08129

Bismuth-rich bismuth oxyhalides (Bi–O–X; X = Cl, Br, I) display high photocatalytic reduction activity due to the promoting conduction band potential. In this work, two Bi5O7I nanosheets with different dominant facets were synthesized using either molecular precursor hydrolysis or calcination. Crystal structure characterizations, included X-ray diffraction patterns (XRD), field emission electron microscopy and fast Fourier transformation (FFT) images, showed that hydrolysis and calcination resulted in the dominant exposure of {100} and {001} facets, respectively. Photocatalytic data revealed that Bi5O7I–001 had a higher activity than Bi5O7I–100 for N2 fixation and dye degradation. Photoelectrochemical data revealed that Bi5O7I–001 had higher photoinduced carrier separation efficiency than Bi5O7I–100. The band structure analysis also used to explain the underlying photocatalytic mechanism based on the different conduction band position. This work presents the first report about the facet-dependent photocatalytic performance of bismuth-rich Bi–O–X photocatalysts.

Architecture and evolution of a minute plant genome
Enrique Ibarra‐Laclette, Eric Lyons, Gustavo Hernández-Guzmán, Claudia Pérez-Torres +4 more
2013· Nature367doi:10.1038/nature12132

The genome of the carnivorous bladderwort plant Utricularia gibba is described here; despite having undergone at least three rounds of whole-genome duplication, its genome is unusually small and virtually devoid of intergenic DNA. Bladderworts are carnivorous plants found in fresh water and damp soil, where they feed on minute prey such as protozoa and rotifers. They lack clearly distinguishable roots, leaves or stems but produce tiny orchid-like flowers. The genome of one of these plants, Utricularia gibba, has now been sequence and analysed. The genome is unusually small (at 82 megabases), in part due to the near absence of intergenic DNA, but it encodes a typical number of genes for a plant and is sufficient to regulate the development and reproduction of a complex organism. Though Although remaining small, the genome has undergone at least three rounds of whole-genome duplication since common ancestry with tomato (Solanum) and grape (Vitis). It has been argued that the evolution of plant genome size is principally unidirectional and increasing owing to the varied action of whole-genome duplications (WGDs) and mobile element proliferation1. However, extreme genome size reductions have been reported in the angiosperm family tree. Here we report the sequence of the 82-megabase genome of the carnivorous bladderwort plant Utricularia gibba. Despite its tiny size, the U. gibba genome accommodates a typical number of genes for a plant, with the main difference from other plant genomes arising from a drastic reduction in non-genic DNA. Unexpectedly, we identified at least three rounds of WGD in U. gibba since common ancestry with tomato (Solanum) and grape (Vitis). The compressed architecture of the U. gibba genome indicates that a small fraction of intergenic DNA, with few or no active retrotransposons, is sufficient to regulate and integrate all the processes required for the development and reproduction of a complex organism.

Self-Assembly of Mesoporous Nanotubes Assembled from Interwoven Ultrathin Birnessite-type MnO2 Nanosheets for Asymmetric Supercapacitors
Ming Huang, Yuxin Zhang, Fei Li, Lili Zhang +3 more
2014· Scientific Reports340doi:10.1038/srep03878

Porous nanotubes comprised of MnO2 nanosheets were fabricated with a one-pot hydrothermal method using polycarbonate membrane as the template. The diameter and thickness of nanotubes can be controlled by choice of the membrane pore size and the chemistry. The porous MnO2 nanotubes were used as a supercapacitor electrode. The specific capacitance in a three-electrode system was 365 F g(-1) at a current density of 0.25 A g(-1) with capacitance retention of 90.4% after 3000 cycles. An asymmetric supercapacitor with porous MnO2 nanotubes as the positive electrode and activated graphene as the negative electrode yielded an energy density of 22.5 Wh kg(-1) and a maximum power density of 146.2 kW kg(-1); these values exceeded those reported for other MnO2 nanostructures. The supercapacitor performance was correlated with the hierarchical structure of the porous MnO2 nanotubes.

Ultraviolet irradiation-responsive dynamic ultralong organic phosphorescence in polymeric systems
Yongfeng Zhang, Liang Gao, Xian Zheng, Zhonghao Wang +4 more
2021· Nature Communications335doi:10.1038/s41467-021-22609-y

Room temperature phosphorescence (RTP) has drawn extensive attention in recent years. Efficient stimulus-responsive phosphorescent organic materials are attractive, but are extremely rare because of unclear design principles and intrinsically spin-forbidden intersystem crossing. Herein, we present a feasible and facile strategy to achieve ultraviolet irradiation-responsive ultralong RTP (IRRTP) of some simple organic phosphors by doping into amorphous poly(vinyl alcohol) matrix. In addition to the observed green and yellow afterglow emission with distinct irradiation-enhanced phosphorescence, the phosphorescence lifetime can be tuned by varying the irradiation period of 254 nm light. Significantly, the dynamic phosphorescence lifetime could be increased 14.3 folds from 58.03 ms to 828.81 ms in one of the obtained hybrid films after irradiation for 45 min under ambient conditions. As such, the application in polychromatic screen printing and multilevel information encryption is demonstrated. The extraordinary IRRTP in the amorphous state endows these systems with a highly promising potential for smart flexible luminescent materials and sensors with dynamically controlled phosphorescence.

Recent Advances in Electrocatalysts for Efficient Nitrate Reduction to Ammonia
Di Liu, Lulu Qiao, Shuyang Peng, Haoyun Bai +4 more
2023· Advanced Functional Materials305doi:10.1002/adfm.202303480

Abstract Ammonia as an irreplaceable chemical has been widely demanded to keep the sustainable development of the modern society. However, its industrial production consumes huge energy and releases extraordinary green‐house gases, leading to various environmental issues. To achieve the green production of ammonia is a great challenge that has been extensively pursued recently. In the review, a most promising strategy, electrochemical nitrate reduction reaction (e‐NO 3 RR) for the purpose is comprehensively investigated to give a full understanding of its development and mechanism and provide guidance for future directions. Particularly, the development of electrocatalysts is focused to realize the high ammonia yield rate and Faraday efficiency for industrial applications. The recent‐developed catalysts, including noble metallic materials, alloys, metal compounds, single‐metal‐atom catalysts, and metal‐free materials, are systematically discussed to review the effects of various factors on the catalytic performance in e‐NO 3 RR. Accordingly, the strategies, including defects engineering, coordination environment modulating, surface controlling, and hybridization, are carefully discussed to improve the catalytic performance, such as the intrinsic activity and selectivity. Finally, perspectives and challenges are given out. This review shall provide insightful guidance on the development of advanced catalytic systems for the production of green ammonia efficiently in the industry.

Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – a state-of-the-art review
Yongliang Yan, Yongliang Yan, Tohid N. Borhani, Sai Gokul Subraveti +4 more
2021· Energy & Environmental Science291doi:10.1039/d1ee02395k

A review of the state-of-the-art applications of machine learning for CO 2 capture, transport, storage, and utilisation.

Merging of Kirkendall Growth and Ostwald Ripening: CuO@MnO2 Core-shell Architectures for Asymmetric Supercapacitors
Ming Huang, Yuxin Zhang, Fei Li, Zhongchang Wang +4 more
2014· Scientific Reports280doi:10.1038/srep04518

Fabricating hierarchical core-shell nanostructures is currently the subject of intensive research in the electrochemical field owing to the hopes it raises for making efficient electrodes for high-performance supercapacitors. Here, we develop a simple and cost-effective approach to prepare CuO@MnO2 core-shell nanostructures without any surfactants and report their applications as electrodes for supercapacitors. An asymmetric supercapacitor with CuO@MnO2 core-shell nanostructure as the positive electrode and activated microwave exfoliated graphite oxide (MEGO) as the negative electrode yields an energy density of 22.1 Wh kg(-1) and a maximum power density of 85.6 kW kg(-1); the device shows a long-term cycling stability which retains 101.5% of its initial capacitance even after 10000 cycles. Such a facile strategy to fabricate the hierarchical CuO@MnO2 core-shell nanostructure with significantly improved functionalities opens up a novel avenue to design electrode materials on demand for high-performance supercapacitor applications.

Toward understanding the adsorption mechanism of large size organic corrosion inhibitors on an Fe(110) surface using the DFTB method
Lei Guo, QI Cheng-wei, Xingwen Zheng, Renhui Zhang +2 more
2017· RSC Advances269doi:10.1039/c7ra04120a

Compared with the conventional DFT approach, SCC-DFTB method is more effective to deal with the adsorption issues of large size organic corrosion inhibitors on metal surface.

AlexNet Convolutional Neural Network for Disease Detection and Classification of Tomato Leaf
Hsing‐Chung Chen, Agung Mulyo Widodo, Andika Wisnujati, Mosiur Rahaman +3 more
2022· Electronics241doi:10.3390/electronics11060951

With limited retrieval of reserves and restricted capability in plant pathology, automation of processes becomes essential. All over the world, farmers are struggling to prevent various harm from bacteria or pathogens such as viruses, fungi, worms, protozoa, and insects. Deep learning is currently widely used across a wide range of applications, including desktop, web, and mobile. In this study, the authors attempt to implement the function of AlexNet modification architecture-based CNN on the Android platform to predict tomato diseases based on leaf image. A dataset with of 18,345 training data and 4,585 testing data was used to create the predictive model. The information is separated into ten labels for tomato leaf diseases, each with 64 × 64 RGB pixels. The best model using the Adam optimizer with a realizing rate of 0.0005, the number of epochs 75, batch size 128, and an uncompromising cross-entropy loss function, has a high model accuracy with an average of 98%, a strictness rate of 0.98, a recall value of 0.99, and an F1-count of 0.98 with a loss of 0.1331, so that the classification results are good and very precise.

The locally twisted cubes
Xiaofan Yang, D. J. Evans, Graham M. Megson
2005· International Journal of Computer Mathematics230doi:10.1080/0020716042000301752

This paper introduces a new variant of the popular n-dimensional hypercube network Q n , known as the n-dimensional locally twisted cube LTQ n , which has the same number of nodes and the same number of connections per node as Q n . Furthermore, LTQ n is similar to Q n in the sense that the nodes can be one-to-one labeled with 0–1 binary sequences of length n, so that the labels of any two adjacent nodes differ in at most two successive bits. One advantage of LTQ n is that the diameter is only about half of the diameter of Q n . We develop a simple routing algorithm for LTQ n , which creates a shortest path from the source to the destination in O(n) time. We find that LTQ n consists of two disjoint copies of Q n −1 by adding a matching between their nodes. On this basis, we show that LTQ n has a connectivity of n.

Ultraflexible, cost-effective and scalable polymer-based phase change composites via chemical cross-linking for wearable thermal management
Yaoge Jing, Zhengchuang Zhao, Xiaoling Cao, Qinrong Sun +2 more
2023· Nature Communications222doi:10.1038/s41467-023-43772-4

Phase change materials (PCMs) offer great potential for realizing zero-energy thermal management due to superior thermal storage and stable phase-change temperatures. However, liquid leakage and solid rigidity of PCMs are long-standing challenges for PCM-based wearable thermal regulation. Here, we report a facile and cost-effective chemical cross-linking strategy to develop ultraflexible polymer-based phase change composites with a dual 3D crosslinked network of olefin block copolymers (OBC) and styrene-ethylene-butylene-styrene (SEBS) in paraffin wax (PW). The C-C bond-enhanced OBC-SEBS networks synergistically improve the mechanical, thermal, and leakage-proof properties of PW@OBC-SEBS. Notably, the proposed peroxide-initiated chemical cross-linking method overcomes the limitations of conventional physical blending methods and thus can be applicable across diverse polymer matrices. We further demonstrate a portable and flexible PW@OBC-SEBS module that maintains a comfortable temperature range of 39-42 °C for personal thermotherapy. Our work provides a promising route to fabricate scalable polymer-based phase change composite for wearable thermal management.

Toll-like receptor 3 (TLR3) regulation mechanisms and roles in antiviral innate immune responses
Yujuan Chen, Junhong Lin, Yao Zhao, Xianping Ma +1 more
2021· Journal of Zhejiang University SCIENCE B217doi:10.1631/jzus.b2000808

Toll-like receptor 3 (TLR3) is a member of the TLR family, mediating the transcriptional induction of type I interferons (IFNs), proinflammatory cytokines, and chemokines, thereby collectively establishing an antiviral host response. Studies have shown that unlike other TLR family members, TLR3 is the only RNA sensor that is utterly dependent on the Toll-interleukin-1 receptor (TIR)‍-domain-containing adaptor-inducing IFN-‍β (TRIF). However, the details of how the TLR3-TRIF signaling pathway works in an antiviral response and how it is regulated are unclear. In this review, we focus on recent advances in understanding the antiviral mechanism of the TRIF pathway and describe the essential characteristics of TLR3 and its antiviral effects. Advancing our understanding of TLR3 may contribute to disease diagnosis and could foster the development of novel treatments for viral diseases.

Stretchable Porous Carbon Nanotube‐Elastomer Hybrid Nanocomposite for Harvesting Mechanical Energy
You Fan, Xian Song Meng, Hua Yang Li, Shuang Yang Kuang +4 more
2016· Advanced Materials217doi:10.1002/adma.201603115

A stretchable porous nanocomposite (PNC) is reported based on a hybrid of a multiwalled carbon nanotubes network and a poly(dimethylsiloxane) matrix for harvesting energy from mechanical interactions. The deformation-enabled energy-generating process makes the PNC applicable to various mechanical interactions, including pressing, stretching, bending, and twisting. It can be potentially used as an energy solution for wearable electronics. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

A one-step, cost-effective green method to in situ fabricate Ni(OH)<sub>2</sub> hexagonal platelets on Ni foam as binder-free supercapacitor electrode materials
Lingjie Li, Jing Xu, Jinglei Lei, Jie Zhang +4 more
2014· Journal of Materials Chemistry A202doi:10.1039/c4ta05156d

The Ni(OH)<sub>2</sub> hexagonal platelets were <italic>in situ</italic> fabricated on Ni foam as a binder-free supercapacitor electrode material with high performance and excellent cycling stability by a one-step, cost-effective, green hydrothermal treatment of three-dimensional (3D) Ni foam in a 15 wt% H<sub>2</sub>O<sub>2</sub> aqueous solution.

Review of Self-Cleaning Method for Solar Cell Array
Gaofa He, Chuande Zhou, Zelun Li
2011· Procedia Engineering201doi:10.1016/j.proeng.2011.08.1135

The self-cleaning technology for solar cell array can promote efficiency of electricity produced and protect the solar cell. The methods of dust-removal, such as natural means, mechanical means, self-cleaning nano-film, and electrostatic means are presented in this paper. It is intended to help readers to gain a more comprehensive view on self-cleaning method for solar panels or other optical devices.

Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions
Zuojin Li, Shengbo Eben Li, Renjie Li, Bo Cheng +1 more
2017· Sensors195doi:10.3390/s17030495

This paper presents a drowsiness on-line detection system for monitoring driver fatigue level under real driving conditions, based on the data of steering wheel angles (SWA) collected from sensors mounted on the steering lever. The proposed system firstly extracts approximate entropy (ApEn)featuresfromfixedslidingwindowsonreal-timesteeringwheelanglestimeseries. Afterthat, this system linearizes the ApEn features series through an adaptive piecewise linear fitting using a given deviation. Then, the detection system calculates the warping distance between the linear features series of the sample data. Finally, this system uses the warping distance to determine the drowsiness state of the driver according to a designed binary decision classifier. The experimental data were collected from 14.68 h driving under real road conditions, including two fatigue levels: "wake" and "drowsy". The results show that the proposed system is capable of working online with an average 78.01% accuracy, 29.35% false detections of the "awake" state, and 15.15% false detections of the "drowsy" state. The results also confirm that the proposed method based on SWA signal is valuable for applications in preventing traffic accidents caused by driver fatigue.