1,536 research outputs found
A Survey for Graphic Design Intelligence
Graphic design is an effective language for visual communication. Using
complex composition of visual elements (e.g., shape, color, font) guided by
design principles and aesthetics, design helps produce more visually-appealing
content. The creation of a harmonious design requires carefully selecting and
combining different visual elements, which can be challenging and
time-consuming. To expedite the design process, emerging AI techniques have
been proposed to automatize tedious tasks and facilitate human creativity.
However, most current works only focus on specific tasks targeting at different
scenarios without a high-level abstraction. This paper aims to provide a
systematic overview of graphic design intelligence and summarize literature in
the taxonomy of representation, understanding and generation. Specifically we
consider related works for individual visual elements as well as the overall
design composition. Furthermore, we highlight some of the potential directions
for future explorations.Comment: 10 pages, 2 figure
Screening for fear of cancer recurrence : instrument validation and current status in early stage lung cancer patients
Background Fear of cancer recurrence (FCR) is one of the most distressing concerns for cancer patients. A psychometrically validated brief scale is urgently needed for use in busy clinical oncology settings. This study aimed to (1) develop and validate the 7-item fear of cancer recurrence scale Chinese version (FCR7-C), and (2) explore the severity of FCR in post-operative early-stage lung cancer patients in Taiwan. Methods Early-stage lung cancer patients were recruited from a medical center in Taiwan. The FCR7-C was evaluated for content and construct validity and internal consistency reliability. Construct validity of FCR7-C was determined by the empirically supported correlation and confirmatory factor analysis (CFA). Results A total of 160 subjects were recruited. The FCR7-C was shown to have satisfactory content validity and internal consistency reliability (Cronbach's α = 0.9). The uni-dimensional structure was confirmed by CFA that showed a good fit for the model. The FCR7-C score correlates positively with the degree of most of the physical symptoms, anxiety, and depression, but correlates negatively with patient age, performance status, and quality of life. We found that 81.9% of patients reported at least some FCR, with a mean FCR severity of 15.18 (SD = 7.78). Conclusion FCR7-C is a brief screening tool with good psychometrics. Patients with early-stage lung cancer still revealed mild to moderate level of FCR. Applying the FCR7-C for to screen cancer patients’ distress and further develop personalized psychological interventions would be strongly suggested.Publisher PDFPeer reviewe
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Exosomal miRNA 16-5p/29a-3p from pancreatic cancer induce adipose atrophy by inhibiting adipogenesis and promoting lipolysis.
Over 80% of the patients with pancreatic ductal adenocarcinoma (PDAC) have cachexia/wasting syndrome. Cachexia is associated with reduced survival, decreased quality of life, and higher metastasis rates. Here, we demonstrate that fat loss is the earliest feature of PDAC-exosome-induced cachexia. MicroRNA sequencing of exosomal components from normal and cancer-derived exosomes revealed enrichment of miR-16-5p, miR-21-5p, miR-29a-3p, and miR-125b-5p in serum exosomes of mice harboring PDAC and patients with PDAC. Further, miR-16-5p and miR-29a-3p inhibited adipogenesis through decreasing Erlin2 and Cmpk1 expression which downregulates C/EBPβ and PPARγ. Synergistically, miR-29a-3p promotes lipolysis through increasing ATGL expression by suppressing MCT1 expression. Furthermore, PDAC-exosomes deprived of miR-16-5p and miR-29a-3p fail to induce fat loss. Hence, miR-16-5p and miR-29a-3p exosomal miRs are essential for PDAC-induced fat loss. Thus, we unravel that PDAC induces adipose atrophy via exosomal miRs. This knowledge may provide new diagnostic and therapeutic strategies for PDAC-induced cachexia
Clinical features and major histocompatibility complex genes as potential susceptibility factors in pediatric immune thrombocytopenia
Background/PurposeImmune thrombocytopenia (ITP) is a heterogeneous autoimmune disorder with diverse response rates to treatments that include corticosteroids, intravenous immunoglobulins (IVIG), and splenectomy. The predisposing causes of this autoimmune disorder, one of which is immunogenetic susceptibility, have not been fully determined. We investigated whether clinical features and human leukocyte antigen (HLA) genotypes influence the occurrence, treatment response, and disease duration of childhood ITP in Taiwan.MethodsWe performed HLA genotyping of 70 Taiwanese children with ITP and of 70 healthy controls and compared the data. Demographic data were also collected and evaluated.ResultsThe frequencies of heterozygous HLA-A11 and the HLA-Cw1 allele were both significantly decreased in the ITP group (p = 0.0160 and p = 0.0089, respectively), whereas the frequency of heterozygous HLA-DQ5 was significantly increased in the ITP group (p = 0.0057). Patients with HLA-DRB1*11 or -DRB1*15 were more likely to respond poorly to corticosteroids than IVIG (p = 0.0446 and p = 0.0008, respectively). In addition, we observed a positive association between HLA-A11 homozygosity and the development of persistent or chronic ITP [odds ratio (OR) = 6.3165, p = 0.0479]. The presence of HLA-DRB1*08 was, however, negatively correlated with the development of persistent or chronic ITP (OR = 0.1729, p = 0.0657). Children with antecedent of preceding illness (API) and with a younger age of onset were more likely to experience a better treatment response and shorter course of ITP.ConclusionWe suggest that API, age of onset, and particular HLA class I and class II alleles, may be involved in and influence the occurrence and disease duration of childhood ITP, as well as responses to different therapeutic approaches
Folding of the Protein Domain hbSBD
The folding of the alpha-helice domain hbSBD of the mammalian mitochondrial
branched-chain alpha-ketoacid dehydrogenase (BCKD) complex is studied by the
circular dichroism technique in absence of urea. Thermal denaturation is used
to evaluate various thermodynamic parameters defining the equilibrium
unfolding, which is well described by the two-state model with the folding
temperature T_f = 317.8 K and the enthalpy change Delta H_g = 19.67 kcal/mol.
The folding is also studied numerically using the off-lattice coarse-grained Go
model and the Langevin dynamics. The obtained results, including the population
of the native basin, the free energy landscape as a function of the number of
native contacts and the folding kinetics, also suggest that the hbSBD domain is
a two-state folder. These results are consistent with the biological function
of hbSBD in BCKD.Comment: 25 pages, 7 figures, 1 table, published in Biophysical Journa
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