2,402 research outputs found
A Pairwise Dataset for GUI Conversion and Retrieval between Android Phones and Tablets
With the popularity of smartphones and tablets, users have become accustomed
to using different devices for different tasks, such as using their phones to
play games and tablets to watch movies. To conquer the market, one app is often
available on both smartphones and tablets. However, although one app has
similar graphic user interfaces (GUIs) and functionalities on phone and tablet,
current app developers typically start from scratch when developing a
tablet-compatible version of their app, which drives up development costs and
wastes existing design resources. Researchers are attempting to employ deep
learning in automated GUIs development to enhance developers' productivity.
Deep learning models rely heavily on high-quality datasets. There are currently
several publicly accessible GUI page datasets for phones, but none for pairwise
GUIs between phones and tablets. This poses a significant barrier to the
employment of deep learning in automated GUI development. In this paper, we
collect and make public the Papt dataset, which is a pairwise dataset for GUI
conversion and retrieval between Android phones and tablets. The dataset
contains 10,035 phone-tablet GUI page pairs from 5,593 phone-tablet app pairs.
We illustrate the approaches of collecting pairwise data and statistical
analysis of this dataset. We also illustrate the advantages of our dataset
compared to other current datasets. Through preliminary experiments on this
dataset, we analyse the present challenges of utilising deep learning in
automated GUI development and find that our dataset can assist the application
of some deep learning models to tasks involving automatic GUI development.Comment: 10 pages, 9 figure
Long non-coding ribonucleic acid H19 and ten-eleven translocation enzyme 1 messenger RNA expression levels in uterine fibroids may predict their postoperative recurrence
OBJECTIVES: To investigate the predictive value of long non-coding RNA (lncRNA) H19 and the ten-eleven translocation enzyme 1 (TET1) transcriptional expression in postoperative recurrence of uterine fibroids (UFs).
METHODS: Seventy-five patients with UF, who underwent surgical treatment, were enrolled in the treatment group, and 60 healthy individuals were enrolled in the control group. The relative expression levels of lncRNA H19 and TET1 mRNA in the serum and UF tissues were analyzed. The patients were further divided into a better curative (BC) group and a poor efficacy (PE) group to analyze the predictive value of lncRNA H19 and TET1 and the independent risk factors affecting the recurrence of UF.
RESULTS: Compared with the control group, lncRNA H19 expression levels were significantly higher, while TET1 expression levels were significantly lower in the treatment group (p<0.001). The area under the receiver operating characteristic (ROC) curve (AUC) values of the two indicators for diagnostic importance were found to be 0.872 and 0.826, respectively. Compared with the PE group, lncRNA H19 expression levels were significantly lower, while TET1 expression levels were significantly higher in the BC group (p<0.001). The AUC values of the two indicators for their predictive efficacy were 0.788 and 0.812, respectively. Logistic regression analysis showed that age, menarche age, maximum diameter of UFs, number of UFs, lncRNA H19 levels, and TET1 levels were independent risk factors affecting UF recurrence. The AUC values of lncRNA H19 and TET1 for their predictive value for postoperative recurrence were 0.814 and 0.765, respectively.
CONCLUSIONS: The lncRNA H19 and TET1 have high diagnostic and predictive efficacy for determining the postoperative recurrence of UFs
Masses of doubly heavy tetraquark states with isospin = and 1 and spin-parity
We apply the method of QCD sum rules to study the doubly heavy tetraquark
states() with the isospin and 1 and
spin-parity and by constructing all the tetraquark currents. The masses of the doubly bottom and
charm tetraquark states are computed in the context of the two-point sum rule
method incorporating the quark, gluon and mixed condensates up to dimension
. By the way, weak decay widths of the doubly bottom tetraquark
are also given.Comment: 12 pages, 15 figures. This article is created by revtex
Interval valued (\in,\ivq)-fuzzy filters of pseudo -algebras
We introduce the concept of quasi-coincidence of a fuzzy interval value with
an interval valued fuzzy set. By using this new idea, we introduce the notions
of interval valued (\in,\ivq)-fuzzy filters of pseudo -algebras and
investigate some of their related properties. Some characterization theorems of
these generalized interval valued fuzzy filters are derived. The relationship
among these generalized interval valued fuzzy filters of pseudo -algebras
is considered. Finally, we consider the concept of implication-based interval
valued fuzzy implicative filters of pseudo -algebras, in particular, the
implication operators in Lukasiewicz system of continuous-valued logic are
discussed
15α,20β-Dihydroxy-6β-methoxy-6,7-seco-6,20-epoxy-1,7-olide-ent-kaur-16-ene
The title compound, C21H30O6, a natural ent-kaurane diterpenoid, was obtained from the medicinal plant Isodon serra. The five rings in the molecule exhibit the expected cis and trans junctions. The three six-membered rings adopt chair, twist-boat and boat conformations, while two five-membered rings adopt envelope conformations. There are two molecules in the asymmetric unit, related by a non-crystallographic twofold screw axis; the main difference is in the different degrees of distortion of ring B. In the crystal, the molecules are linked by intermolecular O—H⋯O hydrogen bonds, forming chains along the b axis
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