2,721 research outputs found
A novel molecular class that recruits HDAC/MECP2 complexes to PU.1 motifs reduces neuroinflammation
No full textPervasive neuroinflammation occurs in many neurodegenerative diseases, including Alzheimer’s disease (AD). SPI1/PU.1 is a transcription factor located at a genome-wide significant AD-risk locus and its reduced expression is associated with delayed onset of AD. We analyzed single-cell transcriptomic datasets from microglia of human AD patients and found an enrichment of PU.1-binding motifs in the differentially expressed genes. In hippocampal tissues from transgenic mice with neurodegeneration, we found vastly increased genomic PU.1 binding. We then screened for PU.1 inhibitors using a PU.1 reporter cell line and discovered A11, a molecule with anti-inflammatory efficacy and nanomolar potency. A11 regulated genes putatively by recruiting a repressive complex containing MECP2, HDAC1, SIN3A, and DNMT3A to PU.1 motifs, thus representing a novel mechanism and class of molecules. In mouse models of AD, A11 ameliorated neuroinflammation, loss of neuronal integrity, AD pathology, and improved cognitive performance. This study uncovers a novel class of anti-inflammatory molecules with therapeutic potential for neurodegenerative disorders
Automating the determination of wave speed using the pu-loop method
No full textThe PU-loop (pressure-velocity loop) is a method for determining wave speed and relies on the linear relationship between the pressure and velocity in the absence of reflected waves. This linearity of the PU-loop during early systole, which is directly related to wave speed, has always been established by eye. This paper presents a new technique that establishes this linearity and thus determining wave speed online. Pressure and flow were measured in the ascending aorta of 11 anesthetised dogs. The slope of the PU-loop, indicating wave speed was determined by eye and by using the new technique. The difference between the slopes of the two methods is in the order of 3%. The new technique is convenient and allows for the online assessment of wave speed, which could be used as a bedside tool for the assessment of arterial compliance
Graph Information Processing for Artificial Intelligence
No full textIn the last decade, techniques for artificial intelligence (AI) has advanced tremendously, which lead to solutions to many problems that have long-troubled us. Such examples include image/video recognition, speech recognition, and 3D scenario recognition. As the tool become more and more powerful, we started to explore data types that have never been handled in an AI fashion. Graph is undoubtedly the first one that comes to mind. Many important real-life data is or can be represented as graphs or networks: social networks, communication networks, protein-protein interaction networks, molecular structures, etc. Yet very little attention has been devoted to the study of the graph information processing in terms of AI systems until the very recent few years. For centuries people have used mathematics to solve graph problems and it worked really well until recent decades. With the rapid development of Internet, the information/data available to us has grown exponentially. It makes it very difficult for conventional mathematic tools to solve new graph problem since it will just take too much time to calculate. Thus, people turned their attention to the newborn techniques (convolutional neural network (CNN), recurrent neural network (RNN), reinforcement learning (RL), etc.) of AI. And once again, AI has shown its power to us. In this work, I will present some techniques of graph information processing for AI. The work will concentrate on two different aspect of graph information processing: information processing of non-graph data and graph data. In the first part, we started with non-graph data, signals in our case. Then a conversion is employed to convert the data into graph based on the objective and nature of the data. In the second part, methods to aggregate information in graph will be illustrated. The whole report contains three researches: tag recognition of radio frequency identification (RFID) in Internet of Things (IoT), photoplethysmogram (PPG) signal based authentication system, and cancer target prediction
Stochastic Modeling of Semantic Structures of Online Movie Reviews
No full textFacing the enormous volumes of data available nowadays, we try to extract useful information from the data by properly modeling and characterizing the data. In this thesis, we focus on one particular type of semantic data --- online movie reviews, which can be found on all major movie websites. Our objective is mining movie review data to seek quantifiable patterns between reviews on the same movie, or reviews from the same reviewer. A novel approach is presented in this thesis to achieve this goal. The key idea is converting a movie review text into a list of tuples, where each tuple contains four elements: feature word, category of feature word, opinion word and polarity of opinion word. Then we further convert each tuple into an 18-dimension vector. Given a multinomial distribution representing a movie review, we can systematically and consistently quantify the similarity and dependence between reviews made by the same or different reviewers using metrics including KL distance and distance correlation, respectively. Such comparisons allow us to find reviewers sharing similarity in generated multinomial distributions, or demonstrating correlation patterns to certain extent. Among the identified pairs of frequent reviewers, we further investigate the category-wise dependency relationships between two reviewers, which are further captured by our proposed ordinary least square estimation models. The proposed data processing approaches, as well as the corresponding modeling framework, could be further leveraged to develop classification, prediction, and common randomness extraction algorithms for semantic movie review data
A pu -k lativusrag fejleményei a déli szamojédban
No full textIn the light of newly published material, the author investigates various Selkup and Kamassian suffixes containing the developments of PU -K and gives her reasons why she does interpret them as continuations of the PU lative suffix
KELVIN-HELMHOLTZ INSTABILITY IN COLLISIONLESS SPACE PLASMAS
No full textPhysics, Fluids & PlasmasSCI(E)9ARTICLE2440-447
Literacy and the vernacular : a case study based on the post-colonial history of Mauritius, with particular reference to Mauritian Creole
No full textThis thesis examines the process of the literization of the vernacular, and seeks to establish the island of Mauritius as a case study of this process. The concept of literization equates standardization of the vernacular with its use as a written language. Four issues are established as central to this process: ideological, educational, sociocultural and technical.
The thesis investigates the particular sociolinguistic situation of Mauritius, and examines each of these issues in relation to Mauritian Creole. It demonstrates the role that Mauritian Creole plays in Mauritian society, and how, since independence, issues relating to ideology, education, and the cultural and technical aspects of standardization, have been involved in the promotion of the language. The interaction between these issues is apparent throughout the thesis, and manifested in the work of Ledikasyon pu Travayer (LPT), the only organization in Mauritius to provide literacy tuition in Mauritian Creole. The thesis seeks to show that their unified approach to literacy, standardization, and the promotion of Mauritian Creole exemplifies the issues involved, and provides the best basis for the establishment of Mauritian Creole as a standard language.
The analysis of the situation in Mauritius within the framework of wider issues of the literization of the vernacular permits a comparison to other former colonies facing problems of language choice, and places these issues within the wider sociolinguistic context of standardization
Molecular size distribution of Pu in the presence of humic substances in river and groundwaters
No full textThe association properties of Pu with aquatic humic substances in a 0.01M NaClO4 solution at pH 6–8 were studied on the basis of molecular size distribution. Seven humic substances were isolated from river water and groundwaters using XAD extraction technique. They were used for comparing their effects on the association of Pu. In the presence of humic acid, the dominant molecular size of Pu was 100–30 kDa. In the presence of fulvic acid, Pu exhibited three dominant molecular sizes: 30–10 kDa, 30–5 kDa, and less than 5 kDa. The association of Pu-humus complexes might be controlled by the molecular size distribution of humic substances and characteristics of their respective size fractions
Electron Elastic Collisions with Pu, Am and Lr Actinide Atoms
No full textSynopsis The robust Regge-pole methodology which embeds the crucial electron correlations and the vital core-polarization interaction is used to explore negative-ion formation in the actinide atoms Pu, Am and Lr through the electron elastic total cross sections (TCSs) calculation. The TCSs are found to be characterized by ground, metastable and excited anionic formation, whence we extract the anionic binding energies and compare them with existing electron affinities. The TCSs exhibit both atomic and molecular behavior in addition to polar- ization-induced metastable TCSs
Author Correction: Massively parallel in vivo CRISPR screening identifies RNF20/40 as epigenetic regulators of cardiomyocyte maturation
No full textCorrection to: Nature Communications 10.1038/s41467-021-24743-z, published online 21 July 2021.
The original version of this Article contained an error in the spelling of the author William T. Pu, which was incorrectly given as William William Pu. This has now been corrected in both the PDF and HTML versions of the Article
- …
