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Product graphics interchange formats (GIFs) employ this format to show the features of the product and make up for the lack of physical experience online. These GIFs have been widely applied in domains such as e-shopping and social media, aiming to interest and impress viewers. Contrary to this wide application, most designers in this domain lack expertise and produce GIFs of varied quality. Moreover, the knowledge of techniques to enhance viewers’ engagement with product GIFs is also lacking. To bridge the gap, we conducted a series of studies. First, we collected and summarized seven design factors referring to existing literature and semi-structured interviews. Then, the impacts of these design factors were revealed through an online study with 106 product GIFs among 307 participants. The results showed that visual-related factors such as color contrast and moving intensity mainly impact viewers’ interest, while content-related factors such as scenario and style matching impact viewers’ impressions. The simplicity of GIFs also impressed viewers with a quick viewing mode. Finally, we conducted a workshop and verified that these results support large-scale production of product GIFs. Our studies might support the codesign methods of product GIFs and enhance their quality in design practice.
Routine blood examination is an easy way to examine infectious diseases. This study is aimed to develop a model to diagnose serious bacterial infections (SBI) in ICU neonates based on routine blood parameters. This was a cross-sectional study, and data were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III). SBI was defined as suffering from one of the following: pyelonephritis, bacteraemia, bacterial meningitis, sepsis, pneumonia, cellulitis, and osteomyelitis. Variables with statistical significance in the univariate logistic regression analysis and log systemic immune–inflammatory index (SII) were used to develop the model. The area under the curve (AUC) was calculated to assess the performance of the model. A total of 1,880 participants were finally included for analysis. Weight, haemoglobin, mean corpuscular volume, white blood cell, monocyte, premature delivery, and log SII were selected to develop the model. The developed model showed a good performance to diagnose SBI for ICU neonates, with an AUC of 0.812 (95% confidence interval (CI): 0.737–0.888). A nomogram was developed to make this model visualise. In conclusion, our model based on routine blood parameters performed well in the diagnosis of neonatal SBI, which may be helpful for clinicians to improve treatment recommendations.
Nowadays, theranostics drug delivery systems (DDSs) with imaging and therapy bi-functions have been regarded as a future orientation for imaging-guided cancer therapy. To achieve high imaging quality, a donor–acceptor (D–A)/Förster resonance energy transfer (FRET) bi-adjustment strategy is carried out for designing dual-colored DDSs with amplified aggregation-induced emission (AIE) behavior for imaging-guided cocktail cancer therapy in this study. In detail, four AIE-active conjugated polymers P-1 to P-4 are synthesized via the Suzuki reaction. Noteworthily, the D–A-type structure is applied in tuning the fluorescence color from orange (P-1) to far-red/near-infrared (P-2), while the intramolecular FRET process further enhanced the fluorescence signal for six times (P-3). Afterwards, P-3-based amphipathic polymer P-4 further acts as a drug carrier in preparing doxorubicin (Dox)- and curcumin (Cur)-loaded polymer dots (Pdots) (Dox-loaded Pdots as PDox and Cur-loaded Pdots as PCur). PDox + PCur DDS is successfully applied in imaging-guided cocktail cancer therapy to give obviously higher in vivo anticancer efficacy compared with single PDox or PCur. In addition, the drug-loaded Pdots also exhibit higher biocompatibility compared with free drugs. This work provides a novel D–A/FRET bi-adjustment strategy for developing high efficiency imaging-guided cocktail DDSs in cancer therapy.
DNA methylation is an important form of epigenetic regulation in mammalian development. Methyl-CpG-binding domain protein 1 (MBD1) and methyl-CpG-binding domain protein 2 (MeCP2) are two members of the MBD subfamily of proteins that bind methylated CpG to maintain the silencing effect of DNA methylation. Given their important roles in linking DNA methylation with gene silencing, this study characterized the coordinated mRNA expression and protein localization of MBD1 and MeCP2 in embryos and placentas and aimed to analysis the effects of MBD1 and MeCP2 on transgenic cloned goats. Our result showed that MBD1 expression of transgenic cloned embryo increased significantly at the 2–4-cell and 8–16-cell stages (P < 0.05), then decreased at the morula and blastocyst stages (P < 0.05); MeCP2 expression in transgenic cloned embryo was significant decreased at the 2–4-cell stage and increased at the 8–16-cell stage (P < 0.05). Placenta morphology analysis showed that the cotyledon number of deceased transgenic cloned group (DTCG) was significantly lower than that the normal goats (NG) and in the live transgenic cloned goats (LTCG) (P < 0.05). MBD1 and MeCP2 were clearly detectable in the placental trophoblastic binucleate cells by immunohistochemical staining. Moreover, MBD1 and MeCP2 expression in DTCG was significant higher than in the NG and the LTCG (P < 0.05). In summary, aberrant expression of methylation CpG binding proteins MBD1 and MeCP2 was detected in embryonic and placental development, which reflected abnormal transcription regulation and DNA methylation involved in MBD1 and MeCP2. These findings have implications in understanding the low efficiency of transgenic cloning.
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