380 research outputs found

    Asymmetric feature interaction for interpreting model predictions

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    In natural language processing (NLP), deep neural networks (DNNs) could model complex interactions between context and have achieved impressive results on a range of NLP tasks. Prior works on feature interaction attribution mainly focus on studying symmetric interaction that only explains the additional influence of a set of words in combination, which fails to capture asymmetric influence that contributes to model prediction. In this work, we propose an asymmetric feature interaction attribution explanation model that aims to explore asymmetric higher-order feature interactions in the inference of deep neural NLP models. By representing our explanation with an directed interaction graph, we experimentally demonstrate interpretability of the graph to discover asymmetric feature interactions. Experimental results on two sentiment classification datasets show the superiority of our model against the state-of-the-art feature interaction attribution methods in identifying influential features for model predictions. Our code is available at https://github.com/StillLu/ASIV.Comment: Accepted by Findings of the Association for Computational Linguistics: ACL 2023 (long paper

    Chili Intake Is Inversely Associated With Chronic Kidney Disease Among Adults: A Population-Based Study

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    We aimed to assess the association between chili consumption and kidney function and chronic kidney disease (CKD). Data from 8429 adults attending the China Health and Nutrition Survey were used. Chili intake was assessed using a 3 day, 24 h food record in combination with household food inventory between 1991 and 2009. CKD was defined as an estimated glomerular filtration rate (eGFR) of <60 mL/min/1.73 m2, as measured in 2009. Logistic regression was used to assess the association. Of the 8429 participants, 1008 (12.0%) fit the definition of CKD. The prevalence of CKD was 13.1% in non-consumers of chili and 7.4% among those with chili intake above 50 g/day. After adjusting for demographics, lifestyle factors (i.e., smoking, alcohol drinking, physical activity), dietary patterns, and chronic conditions, the odds ratio (OR) (95% CI) for CKD across chili consumption levels of none, 1-20 g/day, 20.1-50 g/day, ≥50.1 g/day were 1.00 (reference), 0.82 (0.67-1.01), 0.83 (0.65-1.05), and 0.51 (0.35-0.75), respectively (p for trend 0.001). There was no interaction between chili intake with gender, income, urbanization, hypertension, obesity, or diabetes. This longitudinal large population-based study suggests that chili consumption is inversely associated with CKD, independent of lifestyle, hypertension, obesity, and overall dietary patterns

    Investigation of Multi-Stage Evaporation and Wave Multiplicity of Two-Phase Rotating Detonation Waves Fueled by Ethanol

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    In this study, a numerical investigation based on the Eulerian-Lagrangian model is conducted to explore a rotating detonation engine (RDE) fueled by liquid ethanol. The focus is on examining the characteristic phenomena of the two-phase rotating detonation wave (RDW) caused by droplet evaporation and varying inlet conditions. To enhance the evaporation of liquid fuel, pre-heated air is used, and both liquid and pre-vaporized ethanol are simultaneously injected. The distribution of ethanol droplets reveals an initial concentration near the injection surface and accumulation in the fuel-refill zone. Here, liquid droplets gradually evaporate after absorbing latent heat from the surrounding gas. The subsequent interactions between the evaporating droplets and the RDW vary with the droplet size. For droplets with diameters of d0d_0 = 5-15 μ\mum, after being swept by the RDW, a secondary evaporation process occurs, leading to an enlargement of the width of the reaction zone. However, the chemical reactions still predominantly take place in close proximity to the detonation front. As further increases, droplet evaporation persists in the post-detonation expansion zone over a long distance until the remaining droplets are fully evaporated and eventually burned by the hot products. The study also analyzes the extinction of rotating detonations and the emergence of new detonation waves resulting from local explosions and consequent shock collisions. It is demonstrated that variations in the diameter of injected droplets and inlet temperature can lead to different operating modes with varying numbers of RDWs

    The Odorant-Binding Protein Gene obp11 Shows Different Spatiotemporal Roles in the Olfactory System of Apis mellifera ligustica and Apis cerana cerana

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    Odorant-binding proteins participate in the olfactory system of the honeybee. Apis mellifera ligustica and Apis cerana cerana are species of honeybee that have different biologic functions. The two species have diversified olfactory systems, with A. cerana displaying sensitive olfactory involvement in collecting nectar and pollen from small plants; and A. mellifera collecting from large nectariferous plants. We hypothesized that, given this difference in biologic activity, the gene obp11 of A. mellifera and A. cerana may show different olfactory expression patterns. We cloned and sequenced the obp11 genes from A. mellifera (Amobp11) and A. cerana (Acobp11). Using quantitative real-time PCR, we demonstrated that nurse workers, which have the highest olfactory sensitivity in the A. mellifera hive, have the highest expression of Amobp11; whereas 1-day-emerged  workers, which have lowest olfactory sensitivity, have correspondingly low expression. However, the highest expression of Acobp11 is observed for foragers, which display the highest olfactory sensitivity in the A. cerana population. The OBP11 protein from the two species is highly conserved, with an apparent molecular weight and predicted extracellular localization that is similar to other OBP proteins. The expression of the obp11 gene in A. mellifera and A. cerana correlates with the different roles of the olfactory system for the two different species. These findings support the critical role of odorant-binding proteins in the Apis olfactory syste

    Experimental Research on Corrosion-Induced Cracking Monitoring Based on Optical Fiber Sensor

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    Corrosion-induced cracking is a widely existent issue for coastal infrastructure, which leads to its advanced failure. The monitoring of corrosion-induced cracking is an important means of evaluating its influence on structure normal use and safe operation. However, traditional sensors such as strain gage are unsuitable to embed into concrete and to record long-term strain of concrete caused by steel bar corrosion. The optical fiber sensor, Brillouin Optical Time Domain Analysis (BOTDA) can effectively avoid the undetected phenomenon existing in point-wise test method, and it has the characteristic of automated monitoring. The optical fiber sensor is also electrical insulation and anti-electromagnetic interference; so it is suitable for detecting the corrosion-induced cracks. In this article, experimental research on corrosion-induced crack monitoring based on BOTDA is introduced. The distributed optical fiber is embedded into concrete around the steel bar to record expansion force of concrete. An accelerated corrosion test is performed to investigate the relationship between tiny geometrical changes of steel bar and concrete expansion force. Different rates of corrosion current are applied to the specimen. The accelerated corrosion test approved that the optical fiber sensor can effectively monitor the whole process of corrosion-induced cracking

    Cerenkov Luminescence Tomography for In Vivo Radiopharmaceutical Imaging

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    Cerenkov luminescence imaging (CLI) is a cost-effective molecular imaging tool for biomedical applications of radiotracers. The introduction of Cerenkov luminescence tomography (CLT) relative to planar CLI can be compared to the development of X-ray CT based on radiography. With CLT, quantitative and localized analysis of a radiopharmaceutical distribution becomes feasible. In this contribution, a feasibility study of in vivo radiopharmaceutical imaging in heterogeneous medium is presented. Coupled with a multimodal in vivo imaging system, this CLT reconstruction method allows precise anatomical registration of the positron probe in heterogeneous tissues and facilitates the more widespread application of radiotracers. Source distribution inside the small animal is obtained from CLT reconstruction. The experimental results demonstrated that CLT can be employed as an available in vivo tomographic imaging of charged particle emitters in a heterogeneous medium

    Behavioral Responses of Apis mellifera Adult Workers to Odors from Healthy Brood and Diseased Brood

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    Studies of adult workers’ responses to infected brood were undertaken to isolate discrete volatile compounds that elicited honeybee hygienic behavior. Using a freeze-killed brood assay, we determined that in healthy colonies adult workers recognized and emptied infected cells with a 95% clearance rate. SPME-GC-MS results emptied &gt;95% infected cells indicated differences in the composition and relative content of volatile compounds released by healthy and diseased brood. Additionally, we determined that the main volatile compound released from the pathogen Ascosphaera apis was phenethyl alcohol. The Y-tube olfactometer indicated that 10- to 20-day-old workers of healthy colonies, but only 15-day-old workers of diseased colonies, were significantly sensitive to differences in characteristic volatile compounds. This information could facilitate honey bee selection based on mechanisms that contribute to chalkbrood disease tolerance

    Fabrication and characterisation of periodically poled lithium niobate waveguide using femtosecond laser pulses

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    We present in this letter the fabrication and characterization of thermally stable type II waveguides in Z-cut periodically poled lithium niobate crystals. The waveguides were fabricated by using a femtosecond laser and were utilized for second harmonic generation. Our experiments have shown that a quasiphase matching wavelength of 1548.2nm, a tuning bandwidth of 2nm, and a tuning temperature range of 150.4±1.6°C can be achieved
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