240 research outputs found
Investigation of a “Wall” Wave Event
A bright airglow event was observed at Maui, Hawaii, on the night of 11–12 August 2004 with multiple instruments including a Na wind/temperature lidar, an airglow imager, and a mesospheric temperature mapper. The characteristics of this event were investigated with measurements from these instruments. Analysis showed that this event was caused by a large-amplitude, upward-propagating gravity wave with a period of about 4–5 hours and a vertical wavelength of about 20 km, i.e., a “wall” wave. This wall wave induced dramatic changes in temperature (60 K), airglow intensity (doubled in the OH and tripled in the O2 emissions), and Na abundance (tripled). It experienced strong dissipation and induced large downward heat flux with values about an order of magnitude larger than the annual mean. The wave also carried large momentum flux (~70 m2 s-2)
RND3 (Rho family GTPase 3)
Review on RND3 (Rho family GTPase 3), with data on DNA, on the protein encoded, and where the gene is implicated
Prompt Pool based Class-Incremental Continual Learning for Dialog State Tracking
Continual learning is crucial for dialog state tracking (DST) in dialog
systems, since requirements from users for new functionalities are often
encountered. However, most of existing continual learning methods for DST
require task identities during testing, which is a severe limit in real-world
applications. In this paper, we aim to address continual learning of DST in the
class-incremental scenario (namely the task identity is unknown in testing).
Inspired by the recently emerging prompt tuning method that performs well on
dialog systems, we propose to use the prompt pool method, where we maintain a
pool of key-value paired prompts and select prompts from the pool according to
the distance between the dialog history and the prompt keys. The proposed
method can automatically identify tasks and select appropriate prompts during
testing. We conduct experiments on Schema-Guided Dialog dataset (SGD) and
another dataset collected from a real-world dialog application. Experiment
results show that the prompt pool method achieves much higher joint goal
accuracy than the baseline. After combining with a rehearsal buffer, the model
performance can be further improved
Evaluating the Impact of Nitrogen Fertilization Treatments and Irrigation on Soil Health Indicators in a Long-Term Crop Rotation Research Plot
Abstract
Many agriculturalists have been focusing on the most efficient farming method that would produce the maximum yield while still sustaining the soil ecosystem. Soil samples were collected from the “Old Rotation” area (Auburn University, Auburn, AL), and were assessed for soil biochemical, chemical and biological characteristics related to soil quality. Treatments of the experimental site were a control with no legumes or N fertilizer; cotton every year with winter legumes; a 3-yr cotton-corn-soybean rotation with wheat and winter legumes; and cotton every year with N fertilizer. Impacts of irrigation were also tested between the sites. Assays were performed measuring phosphomonoesterase and phosphodiesterase activity, soil organic carbon, soil pH, and microbial diversity. The 3-year and winter legume rotations showed significant differences in the structure and membership of microbial communities and differences in biochemical activity. These results further demonstrate the ability of crop rotation to enhance the soil health of agricultural ecosystems.
Keywords: Nitrogen Fertilization, Irrigation, Crop Rotation, Soil Ecology, Enzymatic Activit
A review of the spider genus Sinoalaria (Araneae, Theridiosomatidae), with the descriptions of four new species and two new combinations
The spider genus Sinoalaria Zhao & Li, 2014 is redefined and reviewed. A total of ten species are studied, including four new species: S. chi Yu & Lin, sp. nov. (♂♀), S. shenhei Yu & Lin, sp. nov. (♀), S. shuidi Yu & Lin, sp. nov. (♀), S. xiaotu Yu & Lin, sp. nov. (♂♀). Two new combinations are proposed: Sinoalaria nitida (Zhao & Li, 2012), comb. nov. and S. prolata (Zhao & Li, 2012), comb. nov., both transferred from Karstia Chen, 2010. The material of six known species were re-examined and photographed, including the type species, S. chengguanensis (Zhao & Li, 2012). A key is provided for all species of the genus, as well as diagnoses, illustrations, and a distribution map
Genome-Wide Mendelian Randomization Identifies Putatively Causal Gut Microbiota For Multiple Peptic Ulcer Diseases
OBJECTIVE: The pathogenesis of peptic ulcer diseases (PUDs) involves multiple factors, and the contribution of gut microbiota to this process remains unclear. While previous studies have associated gut microbiota with peptic ulcers, the precise nature of the relationship, whether causal or influenced by biases, requires further elucidation.
DESIGN: The largest meta-analysis of genome-wide association studies was conducted by the MiBioGen consortium, which provided the summary statistics of gut microbiota for implementation in the Mendelian randomization (MR) analysis. Summary statistics for five types of PUDs were compiled using the FinnGen Consortium R8 release data. Various statistical techniques, including inverse variance weighting (IVW), MR-Egger, weighted median (WM), weighted mode, and simple mode, were employed to assess the causal relationships between gut microbiota and these five PUDs.
RESULT: In the intestinal microbiome of 119 known genera, we found a total of 14 causal associations with various locations of PUDs and reported the potential pathogenic bacteria of
CONCLUSION: In this study, the pathogenic bacterial genera in the gut microbiota that promote the occurrence of PUDs were found to be causally related. There are multiple correlations between intestinal flora and PUDs, overlapping PUDs have overlapping associated genera. The variance in ulcer-related bacterial genera across different locations underscores the potential influence of anatomical locations and physiological functions
Corrigendum: O3-Induced Leaf Senescence in Tomato Plants Is Ethylene Signaling-Dependent and Enhances the Population Abundance of Bemisia tabaci
Effects of hydrodynamic cavitation on physicochemical structure and emulsifying properties of tilapia (Oreochromis niloticus) myofibrillar protein
The purpose of this research was to explore the different hydrodynamic cavitation (HC) times (0, 5, 10, 15, 20 min; power 550 W, pressure 0.14 MPa) on the emulsifying properties of tilapia myofibrillar protein (TMP). Results of pH, particle size, turbidity, solubility, surface hydrophobicity, and reactive sulfhydryl (SH) group indicated that HC changed the structure of TMP, as confirmed by the findings of intrinsic fluorescence and circular dichroism (CD) spectra. Furthermore, HC increased the emulsifying activity index (EAI) significantly (P < 0.05) and changed the emulsifying stability index (ESI), droplet size, and rheology of TMP emulsions. Notably, compared with control group, the 10-min HC significantly decreased particle size and turbidity but increased solubility (P < 0.05), resulting in accelerated diffusion of TMP in the emulsion. The prepared TMP emulsion showed the highest ESI (from 71.28 ± 5.50 to 91.73 ± 5.56 min), the smallest droplet size (from 2,754 ± 110 to 2,138 ± 182 nm) and the best rheological properties, as demonstrated by the microstructure photographs. Overall, by showing the effect of HC in improving the emulsifying properties of TMP, the study demonstrated HC as a potential technique for meat protein processing
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