Formaldehyde-based adhesives such as urea-formaldehyde (UF) and phenol-formaldehyde (PF) adhesives dominate the current wood adhesive market. However, these adhesives are derived from petrochemicals and carcinogenic formaldehyde. In this study, we developed two formaldehyde-free adhesives based on abundant, renewable, and inexpensive soy flour (SF).
The first adhesive was mainly composed of...
Most tasks in natural language processing (NLP) involves structured information from both input (e.g., a sentence or a paragraph) and output (e.g., a tag sequence, a parse tree or a translated sentence). While neural models achieve great successes in other domains such as computer vision, applying those frameworks to NLP...
Abstract: Three novel curing agents ( I , II , and III) were synthesized
from epichlorohydrin and ammonium hydroxide.
The combinations of soy flour (SF) with one of the curing
agents (SF- I , SF- II , and SF- III ) were investigated as adhesives
for making interior plywood. Water...
In this study, triglycidylamine (TGA) was synthesized and evaluated as a crosslinking agent for soy flour (SF) for making five-ply plywood from yellow poplar. Glycerol polyglycidyl ether (GPE) and trimethylolpropane triglycidyl ether (TTE) were also investigated as crosslinking agents for SF as adhesive for plywood. The plywood panels bonded with...
The prevalence of Internet-of-Things (IoT) applications leads to an increasing focus on the design and optimization of sensor nodes. Battery lifetime and associated costs of battery replacement often limits the long term operation and viability of sensor nodes. RF wireless energy harvesting on the other hand can be appealing since...
In this study we investigated the role of astragaloside IV (AS-IV), one of the major active constituents purified from the Chinese
medicinal herb Astragalus membranaceus, in LPS-induced acute inflammatory responses in mice in vivo and examined possible
underlying mechanisms. Mice were assigned to four groups: vehicle-treated control animals; AS-IV-treated animals...
The advent of deep learning models leads to a substantial improvement in a wide range of NLP tasks, achieving state-of-art performances without any hand-crafted features. However, training deep models requires a massive amount of labeled data. Labeling new data as a new task or domain emerges consumes time and efforts...
Natural Language Comprehension is a challenging domain of Natural Language Processing. To improve a model’s language comprehension/understanding, one approach would be to enrich the structure of the model to enhance its capability in learning the latent rules of the language.
In this dissertation, we will ﬁrst introduce several deep models...
A low-voltage plateau at ∼0.3 V is discovered during the deep sodiation of Na₃V₂(PO₄)₃ by combined computational and experimental studies. This new low-voltage plateau doubles the sodiation capacity of Na₃V₂(PO₄)₃, thus turning it into a promising anode for Na-ion batteries.
Jian, Z., Sun, Y., & Ji, X. (2015). A new low-voltage plateau of Na₃V₂(PO₄)₃ as an
anode for Na
Resolving the debate surrounding the nature and controls of seasonal variation in the structure and metabolism of Amazonian rainforests is critical to understanding their response to climate change. In situ studies have observed higher photosynthetic and evapotranspiration rates, increased litterfall and leaf flushing during the Sunlight-rich dry season. Satellite data...