Effects of Extrusion on Nutritional Quality and Physicochemical Properties of Multigrain Meal Replacement Powder

Using highland barley, mung bean, black bean and Tartary buckwheat as raw materials, the multigrain meal replacement powder was set by twin-screw extrudation technology. The changes of nutrient composition, volatile flavor, crystal structure and other physicochemical properties were tested before and after extrudation. The results showed that the contents of protein, fat, moisture, starch, total phenol and total flavone of multigrain meal replacement powder were reduced by 2.83%, 0.47%, 4.45%, 2.62%, 17.89 mg/100 g and 9.02 mg/100 g, respectively. The changes of dietary fiber and ash were not significant. The aldehydes, alcohol and heterocyclic substances that contribute more to the flavor were increased, which greatly improved the flavor. The crystal structure changed from A-type to V-type, and the crystallinity reduced by 24.97%. RVA and DSC results showed that the peak viscosity, minimum viscosity, disintegration value, final viscosity, recovery value and peak time decreased by 156, 46, 110, 111, 177 cP and 2.2 min, respectively. The enthalpy change decreased to 0.15 J·g−1, indicating that most of the starch had been gelatinized. The results of gel texture showed that the hardness and adhesion decreased by 35.72 g and 4.08 g respectively, while the adhesion, cohesiveness, elasticity and capability increased by 5.11 g, 0.19 Ratio, 5.08 mm and 1.98 mJ respectively, giving it a good taste. The study of the quality characteristics of the powder showed that the content of soluble solid and the water holding capacity increased while the oil holding capacity decreased. The characteristics of power were obviously improved. The color changed obviously

“What should be computed” for supporting post-pandemic recovery policymaking?:A life-oriented perspective

The COVID-19 pandemic has caused various impacts on people’s lives, while changes in people’s lives have shown mixed effects on mitigating the spread of the SARS-CoV-2 virus. Understanding how to capture such two-way interactions is crucial, not only to control the pandemic but also to support post-pandemic urban recovery policies. As suggested by the life-oriented approach, the above interactions exist with respect to a variety of life domains, which form a complex behavior system. Through a review of the literature, this paper first points out inconsistent evidence about behavioral factors affecting the spread of COVID-19, and then argues that existing studies on the impacts of COVID-19 on people’s lives have ignored behavioral co-changes in multiple life domains. Furthermore, selected uncertain trends of people’s lives for the post-pandemic recovery are described. Finally, this paper concludes with a summary about “what should be computed?” in Computational Urban Science with respect to how to catch up with delays in the SDGs caused by the COVID-19 pandemic, how to address digital divides and dilemmas of e-society, how to capture behavioral co-changes during the post-pandemic recovery process, and how to better manage post-pandemic recovery policymaking processes.</p

CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension

We present a Chinese judicial reading comprehension (CJRC) dataset which contains approximately 10K documents and almost 50K questions with answers. The documents come from judgment documents and the questions are annotated by law experts. The CJRC dataset can help researchers extract elements by reading comprehension technology. Element extraction is an important task in the legal field. However, it is difficult to predefine the element types completely due to the diversity of document types and causes of action. By contrast, machine reading comprehension technology can quickly extract elements by answering various questions from the long document. We build two strong baseline models based on BERT and BiDAF. The experimental results show that there is enough space for improvement compared to human annotators

Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung Cancer

Purpose: In some proton therapy facilities, patient alignment relies on two 2D orthogonal kV images, taken at fixed, oblique angles, as no 3D on-the-bed imaging is available. The visibility of the tumor in kV images is limited since the patient's 3D anatomy is projected onto a 2D plane, especially when the tumor is behind high-density structures such as bones. This can lead to large patient setup errors. A solution is to reconstruct the 3D CT image from the kV images obtained at the treatment isocenter in the treatment position. Methods: An asymmetric autoencoder-like network built with vision-transformer blocks was developed. The data was collected from 1 head and neck patient: 2 orthogonal kV images (1024x1024 voxels), 1 3D CT with padding (512x512x512) acquired from the in-room CT-on-rails before kVs were taken and 2 digitally-reconstructed-radiograph (DRR) images (512x512) based on the CT. We resampled kV images every 8 voxels and DRR and CT every 4 voxels, thus formed a dataset consisting of 262,144 samples, in which the images have a dimension of 128 for each direction. In training, both kV and DRR images were utilized, and the encoder was encouraged to learn the jointed feature map from both kV and DRR images. In testing, only independent kV images were used. The full-size synthetic CT (sCT) was achieved by concatenating the sCTs generated by the model according to their spatial information. The image quality of the synthetic CT (sCT) was evaluated using mean absolute error (MAE) and per-voxel-absolute-CT-number-difference volume histogram (CDVH). Results: The model achieved a speed of 2.1s and a MAE of <40HU. The CDVH showed that <5% of the voxels had a per-voxel-absolute-CT-number-difference larger than 185 HU. Conclusion: A patient-specific vision-transformer-based network was developed and shown to be accurate and efficient to reconstruct 3D CT images from kV images.Comment: 9 figure

MiR-185 Targets the DNA Methyltransferases 1 and Regulates Global DNA Methylation in human glioma

<p>Abstract</p> <p>Background</p> <p>Perturbation of DNA methylation is frequent in cancers and has emerged as an important mechanism involved in tumorigenesis. To determine how DNA methylation is modified in the genome of primary glioma, we used Methyl-DNA immunoprecipitation (MeDIP) and Nimblegen CpG promoter microarrays to identify differentially DNA methylation sequences between primary glioma and normal brain tissue samples.</p> <p>Methods</p> <p>MeDIP-chip technology was used to investigate the whole-genome differential methylation patterns in glioma and normal brain tissues. Subsequently, the promoter methylation status of eight candidate genes was validated in 40 glioma samples and 4 cell lines by Sequenom's MassARRAY system. Then, the epigenetically regulated expression of these genes and the potential mechanisms were examined by chromatin immunoprecipitation and quantitative real-time PCR.</p> <p>Results</p> <p>A total of 524 hypermethylated and 104 hypomethylated regions were identified in glioma. Among them, 216 hypermethylated and 60 hypomethylated regions were mapped to the promoters of known genes related to a variety of important cellular processes. Eight promoter-hypermethylated genes (ANKDD1A, GAD1, HIST1H3E, PCDHA8, PCDHA13, PHOX2B, SIX3, and SST) were confirmed in primary glioma and cell lines. Aberrant promoter methylation and changed histone modifications were associated with their reduced expression in glioma. In addition, we found loss of heterozygosity (LOH) at the miR-185 locus located in the 22q11.2 in glioma and induction of miR-185 over-expression reduced global DNA methylation and induced the expression of the promoter-hypermethylated genes in glioma cells by directly targeting the DNA methyltransferases 1.</p> <p>Conclusion</p> <p>These comprehensive data may provide new insights into the epigenetic pathogenesis of human gliomas.</p

Five-Year Outcomes and Cardiac Remodeling Following Left Atrial Appendage Occlusion

Purpose: LAAO has been an alternative therapy to oral anticoagulants (OACs) for stroke prophylaxis in patients with nonvalvular atrial fibrillation (NVAF) with elevated CHA2DS2-Vasc score, but the long-term outcomes of LAAO and its impacts on cardiac electrical and mechanical remodeling remain to be learned. We aimed to describe the impact of left atrial appendage occlusion (LAAO) on atrial remodeling and cardiovascular outcomes within 5-year follow-up. Patients and methods: A total of 107 patients with nonvalvular atrial fibrillation (NVAF) undergoing LAAO in the Shanghai Tenth People's Hospital between January 2014 and July 2017 were included. All participants were followed for ECG, transthoracic echocardiography (TTE), and clinical outcomes (including cardiovascular death, heart failure, ischemic stroke/systemic embolism, and pericardial effusion) at 6 and 12 months, and thereafter every 12 months after LAAO discharge until 5 years. Results: After LAAO, the left atrial diameter significantly increased at 6 months (48.6 ± 6.7 vs 46.5 ± 7.0 mm); heart rate decreased immediately after the procedure (78.5 ± 14.7 vs 85.3 ± 21.7 bpm) when compared with the pre-procedure level. The QTc interval prolongated to the highest value of 460.7 ± 46.8 ms at 6 months (pre-procedure level of 433.7±49.0 ms). All these changes return to the pre-procedure level within the follow-up. For clinical outcomes, 51 patients suffered the composite of cardiovascular death (n=4, 3.7%), heart failure (n=25, 23.4%), ischemic stroke/systemic embolism (n=22, 20.6%), and pericardial effusion (n=26, 26.2%). Conclusion: LAAO did not change ECG or TTE characteristics and nonprocedure-related pericardial effusion is common during long-term follow-up. Further studies are warranted to investigate the optimal time frame of anticoagulation in patients undergoing LAAO

Association of TIMP4 gene variants with steroid-induced osteonecrosis of the femoral head in the population of northern China

Background In clinical treatment, the use of steroid hormones is an important etiological factor of non-traumatic osteonecrosis of the femoral head (ONFH) risk. As an endogenous inhibitor of matrix metalloproteinases (MMPs) in the extracellular matrix, the expression of tissue inhibitors of metalloprotease-4 (TIMP4) plays an essential role in cartilage and bone tissue damage and remodeling, vasculitis formation, intravascular thrombosis, and lipid metabolism. Methods This study aimed to detect the association between TIMP4 polymorphism and steroid-induced ONFH. We genotyped seven single-nucleotide polymorphisms (SNPs) in TIMP4 genes and analyzed the association with steroid-induced ONFH from 286 steroid-induced ONFH patients and 309 normal individuals. Results We performed allelic model analysis and found that the minor alleles of five SNPs (rs99365, rs308952, rs3817004, rs2279750, and rs3755724) were associated with decreased steroid-induced ONFH (p = 0.02, p = 0.03, p = 0.04, p = 0.01, p = 0.04, respectively). rs2279750 showed a significant association with decreased risk of steroid-induced ONFH in the Dominant and Log-additive models (p = 0.042, p = 0.028, respectively), and rs9935, rs30892, and rs3817004 were associated with decreased risk in the Log-additive model (p = 0.038, p = 0.044, p = 0.042, respectively). In further stratification analysis, TIMP4 gene variants showed a significant association with steroid-induced ONFH in gender under the genotypes. Haplotype analysis also revealed that “TCAGAC” and “CCGGAA” sequences have protective effect on steroid-induced ONFH. Conclusion Our results indicate that five TIMP4 SNPs (rs99365, rs308952, rs3817004 rs2279750, and rs3755724) are significantly associated with decreased risk of steroid-induced ONFH in the population of northern China