466 research outputs found
Structural Embedding of Syntactic Trees for Machine Comprehension
Deep neural networks for machine comprehension typically utilizes only word
or character embeddings without explicitly taking advantage of structured
linguistic information such as constituency trees and dependency trees. In this
paper, we propose structural embedding of syntactic trees (SEST), an algorithm
framework to utilize structured information and encode them into vector
representations that can boost the performance of algorithms for the machine
comprehension. We evaluate our approach using a state-of-the-art neural
attention model on the SQuAD dataset. Experimental results demonstrate that our
model can accurately identify the syntactic boundaries of the sentences and
extract answers that are syntactically coherent over the baseline methods
Dissimilarity measures for content-based image retrieval
Dissimilarity measurement plays a crucial role in content-based image retrieval. In this paper, 16 core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three image collections, Corel, Getty and Trecvid2003, with 7 different feature spaces. Two search scenarios are considered: single image queries based on the vector space model, and multi-image queries based on k-nearest neighbours search. A number of observations are drawn, which will lay a foundation for developing more effective image search technologies
The , , and other compact states
We study the spectrum and rearrangement decays of S-wave
tetraquark states in a simplified quark model. The masses and widths are
estimated by assuming that the is the lower
tetraquark. Comparing our results with experimental
measurements, we find that the recently observed by LHCb can be
assigned as the lowest tetraquark state and the
could be the second lowest tetraquark.
Predictions of ratios between partial widths for the involved tetraquarks are
given. We call for searches for more tetraquarks with
, , and
Review of variable speed drive technology in beam pumping units for energy-saving
Beam pumping units have been widely used in oilfields worldwide due to its simple structure, strong field adaptability, and convenient maintenance. Different energy-saving technologies have also been broadly applied in various beam pumping units. Among these energy-saving methods, the variable speed drive is one of the most acceptable techniques in the oil and gas industry. In this paper, the energy-saving technology of variable speed drives is discussed in detail for beam pumping units pointing out existing difficulties and current research status in kinematics. Three application examples of a variable speed drive in Daqing oilfield, the largest oilfield in China, is shown
The Effect of Liver Cirrhosis on Patients Undergoing Cardiac Surgery
The aim of this study was to investigate the impact of liver cirrhosis (LC) on postoperative complications and long-term outcomes in patients who underwent cardiac surgery. Three databases, including PubMed, Embase, and the Cochrane Library, were searched on July 24, 2022. A total of 1,535,129 patients were enrolled in the seven included studies for analysis. According to our analysis, LC was a risk factor for postoperative overall complications (OR = 1.48, 95% CI = 1.21 to 1.81, I2 = 90.35%, P = 0.00 0.1) complications, there was no statistical significance between the 2 groups. As for long-term outcomes, we found that in-hospital death (OR = 2.53, 95% CI = 1.86 to 3.20, I2 = 44.58%, P = 0.00 < 0.05) and death (OR = 3.31, 95% CI = 1.54 to 5.07, I2 = 93.81%, P = 0.00 < 0.1) in the LC group were higher than the non-LC group. LC was a risk factor for cardiac surgery. Patients with LC who would undergo cardiac surgery should be fully assessed for the risks of cardiac surgery. Similarly, the surgeon should assess the patient’s liver function before surgery
Clinical features, radiological imaging, and treatment strategies of nonmetallic intraorbital foreign bodies: a retrospective analysis
AIM: To provide comprehensive data on nonmetallic intraorbital foreign bodies (IOFBs) by summarizing and analyzing material types, clinical manifestations, imaging features, and treatment strategies. METHODS: Totally 28 nonmetallic IOFB cases treated at Shengjing Hospital of China Medical University from 2012 to 2020 were retrospectively reviewed. The types of foreign bodies, clinical features, imaging manifestations, and treatment outcomes were analyzed. RESULTS: Among all cases, 67.8% (19/28) of the foreign bodies were organic. The top three entrances were the upper eyelid skin (7/28), lower fornix conjunctiva (6/28), and lower eyelid skin (4/28). In most cases (11/28, 39.3%), foreign bodies remained in the medial orbits. The major clinical manifestations included eyelid redness and swelling (20/28, 71.4%), conjunctival congestion and edema (17/28, 60.7%), and ophthalmoptosis (15/28, 53.6%). Infection was the main complication, which occurred in 57.1% (16/28) of all cases. Computerized tomography (CT) values differed for different foreign bodies and varied in the different periods after injury. The plant- and grease-derived foreign bodies and the surrounding pus cysts showed different signals on magnetic resonance imaging (MRI). The prognosis varied with different foreign body types, surgery timing, and intraoperative management. CONCLUSION: The majority of nonmetallic IOFBs are organic and often remain in the superior, medial, and inferior areas of the orbit. Clinical manifestations vary owing to their different textures. CT and MRI facilitate the identification of foreign body materials. Plant-derived foreign bodies should be completely removed, and surgical treatment is a complicated process
Improving mobility of silicon metal-oxide-semiconductor devices for quantum dots by high vacuum activation annealing
To improve mobility of fabricated silicon metal-oxide-semiconductor (MOS)
quantum devices, forming gas annealing is a common method used to mitigate the
effects of disorder at the Si/SiO2 interface. However, the importance of
activation annealing is usually ignored. Here, we show that a high vacuum
environment for implantation activation is beneficial for improving mobility
compared to nitrogen atmosphere. Low-temperature transport measurements of Hall
bars show that peak mobility can be improved by a factor of two, reaching 1.5
m^2/(Vs) using high vacuum annealing during implantation activation. Moreover,
the charge stability diagram of a single quantum dot is mapped, with no visible
disturbance caused by disorder, suggesting possibility of fabricating
high-quality quantum dots on commercial wafers. Our results may provide
valuable insights into device optimization in silicon-based quantum computing.Comment: 13 pages, 4 figure
- …