Retrieve-then-extract Based Knowledge Graph Querying Using Graph Neural Networks

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Graph Neural Networks for Natural Language Processing: A Survey

Deep learning has become the dominant approach in coping with various tasks in Natural LanguageProcessing (NLP). Although text inputs are typically represented as a sequence of tokens, there isa rich variety of NLP problems that can be best expressed with a graph structure. As a result, thereis a surge of interests in developing new deep learning techniques on graphs for a large numberof NLP tasks. In this survey, we present a comprehensive overview onGraph Neural Networks(GNNs) for Natural Language Processing. We propose a new taxonomy of GNNs for NLP, whichsystematically organizes existing research of GNNs for NLP along three axes: graph construction,graph representation learning, and graph based encoder-decoder models. We further introducea large number of NLP applications that are exploiting the power of GNNs and summarize thecorresponding benchmark datasets, evaluation metrics, and open-source codes. Finally, we discussvarious outstanding challenges for making the full use of GNNs for NLP as well as future researchdirections. To the best of our knowledge, this is the first comprehensive overview of Graph NeuralNetworks for Natural Language Processing.Comment: 127 page

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

Sodium Content in Pre-Packaged Foods in China: A Food Label Analysis

Sodium intake from pre-packaged foods is increasing in China and is well above the WHO recommendation of 5 g per day. The purpose of this study is to analyze the sodium content of pre-packaged foods collected by the National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention (NINH, China CDC) in 20 provinces of China from 2017 to 2022. The proportion of pre-packaged foods that meet or exceed the low-sodium, medium-sodium, and high-sodium classifications were analyzed. The proportion of pre-packaged foods that meet and do not meet the WHO global sodium benchmarks and the difference in sodium content between these foods was also calculated. High-sodium foods include sauces, dips, and dressings (3896 mg/100 g), convenience foods (1578 mg/100 g), processed fish products (1470 mg/100 g), processed meat products (1323 mg/100 g), processed poultry products (1240 mg/100 g), snack foods (750 mg/100 g), processed egg products (741 mg/100 g), and fine dried noodles (602 mg/100 g). A large number of pre-packaged foods currently collected in China have a sodium content above sodium benchmarks. This study provided data to support the assessment of sodium intake from pre-packaged foods in the Chinese population and the implementation of comprehensive salt reduction strategies

Fabrication and evaluation of high-performance 3D interpenetrated network structures SiC/Al composites with high-purity plate-like α-SiC framework

To reinforce compatibility with the thermophysical and mechanical properties of SiC/Al composites for electronic packaging to improve the stability and reduce fatigue failure of electronic integrated devices, a novel 3D SiC reinforced framework with interpenetrated plate-like α-SiC grains was synthesized. A small amount of doped α-SiC was seeded to induce the transformation of β-SiC to plate-like α-SiC at 2,300 °C, forming a high-purity α-SiC strongly bonded framework. Vacuum/gas pressure infiltration of Al alloy was subsequently used to manufacture the 3D interpenetrated network structure SiC/Al (SiC3D/Al) composite. Characterization results showed that 15% (in mass) seeds provided the composite with the optimal comprehensive performance, including a low coefficient of thermal expansion (CTE) of 5.54 × 10−6 K−1, a high thermal conductivity (λ) of 239.08 W·m−1·K−1, the highest flexural strength of 326.84 MPa, and a low thermal deformation parameter (TDP) of 0.023. High-purity plate-like grains enhanced the purity of the framework promoting a significant improvement in λ. As the seed content increased to 20% (in mass), both CTE and λ reached optimal values of 5.22 × 10−6 K−1 and 243.14 W·m−1·K−1, but the mechanical properties declined by 10.30%. The synergistic effect of the well-bonded interface and the high-purity 3D SiC framework balanced excellent mechanical properties and multiple thermal functions

Acute gastroenteritis outbreaks caused by human astrovirus, 1978–2021: A systematic review

Human astrovirus (HAstV) is one of the main pathogens that cause sporadic cases of acute gastroenteritis, sometimes leading to outbreaks. This study aimed to elucidate the epidemiological and etiological characteristics of HAstV outbreaks worldwide. Literature on HAstV outbreaks published before January 2022 was retrieved from the China National Knowledge Infrastructure, WanFang, WeiPu, PubMed, and Web of Science databases. Date, region, population, settings, transmission modes, clinical symptoms, and etiological characteristics of the outbreaks were collected and analyzed. Thirty-one articles on 32 HAstV outbreaks reported between November 1978 and October 2018 were included. The outbreaks mainly occurred in autumn (14/32, 43.75%), and more of them were reported in 1996, 2004, and 2017. Outbreaks were primarily distributed in the Northern Hemisphere and mainly occurred in nursery centers and kindergartens (9/29, 31.03%), hospitals (5/29, 17.24%), and schools (4/29, 13.79%). Viral genotypes were identified during 19 outbreaks, and HAstV-1 was predominant (8/19, 42.10%). Eleven outbreaks were caused by mixed infection, and norovirus (9/11, 81.82%) and rotavirus (5/11, 45.45%) were the most common mixed pathogens. The transmission routes were reported in 9 outbreaks of mixed infection, and most (7/9) were related to waterborne and foodborne transmission. Although HAstV outbreaks are infrequently reported, it is necessary to consider HAstV in norovirus-negative gastroenteritis outbreaks. In addition, local Centers for Disease Control and Prevention should have the capacity to handle HAstV outbreaks and identify pathogens