Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
55,284
result(s) for
"Liu, Xin-Xin"
Sort by:
China's cultural diplomacy : a great leap outward?
\"This book examines China's contemporary global cultural footprints through its recent development of cultural diplomacy. The volume presents an alternative analytical framework to examine China's cultural diplomacy which goes beyond the Western-defined concept of 'soft power' that prevails in the current literature. This new approach constructs a three-dimensional framework on Orientalism, cultural hegemony, and nationalism to decipher the multiple contexts which China inhabits historically, internationally and domestically. The book presents multiple case studies of the Confucius Institute, and compares the global program located around the world with its Western counterparts, and also with other Chinese government-sponsored endeavours and non-government-initiated programs. The author aims to solve the puzzle of why China's efforts in cultural diplomacy are perceived differently around the world and helps to outline the distinctive features of China's cultural diplomacy. This book will be of much interest to students of diplomacy, Chinese politics, foreign policy and International Relations in general\"-- Provided by publisher.
Book
Towards advanced AI-based solutions for securing IoMT in smart health information systems
The Internet of Medical Things (IoMT) refers to the number of interconnected medical objects and applications that are essential in contemporary healthcare. Nevertheless, its dependence on interrelated ecosystems subjects it to high risks of cybersecurity, including data breaches, privacy breaches, and malicious attacks that threaten patient safety and system integrity. This paper resolves these issues by presenting a new and enhanced intrusion detection model, BiGRU/RBWK, which is a combination of Bidirectional Gated Recurrent Units (BiGRU) with a Refined Black-winged Kite (RBWK) optimization algorithm. The RBWK algorithm improves on the BiGRU model by optimizing its hyperparameters, resulting in faster convergence and better classification performance. The model uses a powerful preprocessing pipeline, which includes Recursive Feature Elimination (RFE) that is used in conjunction with Support Vector Machines (SVM), which helps to curb the overfitting and lessen the computational cost. The experimental findings with two public datasets, namely WUSTL-EHMS-2020 and ECU-IoHT, indicate that BiGRU/RBWK model displays higher accuracy (95.6% and 93.8% respectively), precision, recall, F1-score, and AUC-ROC than all other currently available methods, including Random Forest, LSTM, CNN, Autoencoder, and CNN-LSTM hybrid models. The suggested framework has a high discrimination capability and can be easily used in real-time applications in the resource-constrained IoMT settings.
Journal Article
ImageGP: An easy‐to‐use data visualization web server for scientific researchers
Data visualization plays a crucial role in illustrating results and sharing knowledge among researchers. Though many types of visualization tools are widely used, most of them require enough coding experience or are designed for specialized usages, or are not free. Here, we present ImageGP, a specialized visualization platform designed for biology and chemistry data illustration. ImageGP could generate generalized plots like lines, bars, scatters, boxes, sets, heatmaps, and histograms with the most common input content in a user‐friendly interface. Normally plotting using ImageGP only needs a few mouse clicks. For some plots, one only needs to just paste data and click submit to get the visualization results. Additionally, ImageGP supplies up to 26 parameters to meet customizable requirements. ImageGP also contains specialized plots like volcano plot, functional enrichment plot for most omics‐data analysis, and other four specialized functions for microbiome analysis. Since 2017, ImageGP has been running for nearly 5 years and serving 336,951 visits from all over the world. Together, ImageGP (http://www.ehbio.com/ImageGP/) is an effective and efficient tool for experimental researchers to comprehensively visualize and interpret data generated from wet‐lab and dry‐lab. Representative visualization results of ImageGP. ImageGP supports 16 types of images (including heatmap, volcano plot, enrichment bubble plot) and four types of online analysis with up to 26 parameters for customization. Highlights Publication‐quality visualization results. Easy to use and customize. Reproducible results with scripts.
Journal Article
Computational trust models and machine learning
\"This book provides an introduction to computational trust models from a machine learning perspective. After reviewing traditional computational trust models, it discusses a new trend of applying formerly unused machine learning methodologies, such as supervised learning. The application of various learning algorithms, such as linear regression, matrix decomposition, and decision trees, illustrates how to translate the trust modeling problem into a (supervised) learning problem. The book also shows how novel machine learning techniques can improve the accuracy of trust assessment compared to traditional approaches\"-- Provided by publisher.
Book
Insights into the physiological and metabolic features of Thalassobacterium , a novel genus of Verrucomicrobiota with the potential to drive the carbon cycle
Verrucomicrobiota are widely distributed and able to utilize a variety of difficult-to-biodegrade polysaccharides, which have a significant impact on the marine carbon cycle. However, there are not enough pure culture strains of Verrucomicrobiota , as hard-to-cultivate bacteria, for us to study. Here, our study reports a new genus in the phylum Verrucomicrobiota and investigates their ability to degrade and synthesize a variety of polysaccharides as well as the mechanism of utilizing difficult-to-degrade polysaccharides. We also explored their special performance on carbon utilization in marine nitrogen-deficient environments. This contributes to deepening our understanding of the involvement of marine microorganisms in the marine carbon cycle.
Journal Article
The supernova era
\"Eight light years away, a star has died, creating a supernova event that showers Earth in deadly levels of radiation. Within a year, everyone over the age of thirteen will die. And so the countdown begins. Parents apprentice their children and try to pass on the knowledge needed to keep the world running. But when the world is theirs, the last generation may not want to continue the legacy left to them. And in shaping the future however they want, will the children usher in an era of bright beginnings or final mistakes ?
Super-Tough and Environmentally Stable Aramid. Nanofiber@MXene Coaxial Fibers with Outstanding Electromagnetic Interference Shielding Efficiency
HighlightsSuper-tough and ultra-strong ANF@MXene fibers are wet-spun by a coaxial technique.High toughness of ~ 48.1 MJ m−3 and strength of ~ 502.9 MPa are achieved.The fibers exhibit superb chemical stability under extreme environmental conditions.Although electrically conductive and hydrophilic MXene sheets are promising for multifunctional fibers and electronic textiles, it is still a challenge to simultaneously enhance both conductivity and mechanical properties of MXene fibers because of the high rigidity of MXene sheets and insufficient inter-sheet interactions. Herein, we demonstrate a core–shell wet-spinning methodology for fabricating highly conductive, super-tough, ultra-strong, and environmentally stable Ti3C2Tx MXene-based core–shell fibers with conductive MXene cores and tough aramid nanofiber (ANF) shells. The highly orientated and low-defect structure endows the ANF@MXene core–shell fiber with super-toughness of ~ 48.1 MJ m−3, high strength of ~ 502.9 MPa, and high conductivity of ~ 3.0 × 105 S m−1. The super-tough and conductive ANF@MXene fibers can be woven into textiles, exhibiting an excellent electromagnetic interference (EMI) shielding efficiency of 83.4 dB at a small thickness of 213 μm. Importantly, the protection of the ANF shells provides the fibers with satisfactory cyclic stability under dynamic stretching and bending, and excellent resistance to acid, alkali, seawater, cryogenic and high temperatures, and fire. The oxidation resistance of the fibers is demonstrated by their well-maintained EMI shielding performances. The multifunctional core–shell fibers would be highly promising in the fields of EMI shielding textiles, wearable electronics and aerospace.
Journal Article
Structural basis of histone H3K27 trimethylation by an active polycomb repressive complex 2
The formation of specialized cell types during development involves the silencing of genes not required in those cell types. An important player in this silencing process is the polycomb repressive complex 2 (PRC2), which methylates histone H3 on lysine residue 27 (H3K27me). Jiao and Liu determined the x-ray crystal structure of a functional PRC2 complex from a thermophilic yeast species (see the Perspective by Schapira). The intimate association of the three subunits confers stability to PRC2. The structure also reveals how the reaction product, H3K27me, stimulates PRC2 allosterically and how a cancer-associated histone mutation blocks the PRC2 active site. Science , this issue p. 10.1126/science.aac4383 ; see also p. 278 The structure of a gene silencing complex reveals how it self-activates and is inhibited by a cancer-associated chromatin mutation. [Also see Perspective by Schapira ] Polycomb repressive complex 2 (PRC2) catalyzes histone H3K27 trimethylation (H3K27me3), a hallmark of gene silencing. Here we report the crystal structures of an active PRC2 complex of 170 kilodaltons from the yeast Chaetomium thermophilum in both basal and stimulated states, which contain Ezh2, Eed, and the VEFS domain of Suz12 and are bound to a cancer-associated inhibiting H3K27M peptide and a S-adenosyl- l -homocysteine cofactor. The stimulated complex also contains an additional stimulating H3K27me3 peptide. Eed is engulfed by a belt-like structure of Ezh2, and Suz12(VEFS) contacts both of these two subunits to confer an unusual split active SET domain for catalysis. Comparison of PRC2 in the basal and stimulated states reveals a mobile Ezh2 motif that responds to stimulation to allosterically regulate the active site.
Journal Article