A nanocomposite of waterborne polyurethane (WPU) was prepared with functionalized graphene sheets (FGSs) which are a new type of nano‐sized conductive filler. The FGS were finely dispersed in a ...polymer matrix to improve the conductivity of the WPU. Conductivity of about 105 times that of pristine WPU was attained using two parts FGS per 100 parts of the matrix polymer. The FGS reduced the hard segment crystallinity of the WPU, which lowered the modulus of the WPU at room temperature. This modulus reduction became more evident in the temperature region above the glass transition temperature of the hard segment.
Growing evidence supports that prostate cancer (PCa) is a metabolic syndrome-related cancer, but the evidence is lacking regarding the association between nonalcoholic fatty liver disease (NAFLD) and ...PCa. We aimed to investigate whether PCa is related with NAFLD in Korean adults.
Data from the National Health Insurance Corporation between 2009 and 2012 were analyzed using multivariate logistic regression method. NALFD was defined based on the fatty liver index (FLI) and hepatic steatosis index (HSI). Newly diagnosed PCa was identified using the claims data.
NAFLD based on FLI and HSI was identified in 2,002,375 (19%) and 2,629,858 (25%) of 10,516,985 subjects, respectively. Each FLI ≥ 60 and HSI ≥ 36 was independently associated with the development of PCa after adjusting for other confounders (hazard ratio (HR) 1.09, 95% CI: 1.06-1.12 and HR 1.19, 95% CI: 1.16-1.23). The association was more prominent among those who were older (FLI, ≥ 65 years old and HSI, ≥ 40 years old), were not currently smoking, were presently consuming alcohol (< 30g/day) and had null components of metabolic syndrome than each counterpart. Non-obese persons with NAFLD defined by HSI had a higher risk of developing PCa than those with body mass index > 25 Kg/m2.
NAFLD defined by FLI or HSI may help identify high-risk individuals for developing PCa particular in the elderly, even in the absence of obesity or metabolic syndrome. Future studies on this topic should necessarily be repeated based on ultrasonographic findings.
This report suggests a method of enhancing the sensitivity of chemifluorescence-based ELISA, using photooxidation-induced fluorescence amplification (PIFA). The PIFA utilized autocatalytic ...photooxidation of the chemifluorescent substrate, 10-acetyl 3,7-dihydroxyphenoxazine (ADHP, Amplex Red) to amplify the fluorescent product resorufin, initially oxidized by horse radish peroxidase (HRP). As the amplification rate is proportional to the initial level of resorufin, the level of antigen labeled by HRP is quantified by analyzing the profile of fluorescence intensity. The normalized profile was interpolated into an autocatalysis model, and the rate of increase at half-maximum time was quantified by the use of an amplification index (AI). The lower limit of detection, for resorufin or HRP, was less than one-tenth that of the plate reader. It requires only slight modification of the fluorescence reader and is fully compatible with conventional or commercial ELISA. When it is applied to a commercial ELISA kit for the detection of amyloid beta, it is verified that the PIFA assay enhanced the detection sensitivity by more than a factor of 10 and was compatible with a conventional 96-well ELISA assay kit. We anticipate this PIFA assay to be used in research for the detection of low levels of proteins and for the early diagnosis of various diseases with rare protein biomarkers, at ultra-low (pg/mL) concentrations.
The human microbiota comprises trillions of microbes, and the relationship between cancer and microbiota is very complex. The impact of fecal microbiota alterations on colorectal cancer (CRC) ...pathogenesis is emerging. This study analyzed changes in the microbial composition in CRC subjects with both fecal microbiota and gut microbe-derived extracellular vesicles (EVs). From August 2017 to August 2018, 70 CRC patients and 158 control subjects were enrolled in the study. Metagenomic profiling of fecal microbiota and gut microbe-derived EVs in stool was performed using 16S ribosomal DNA sequencing. Relative abundance, evenness, and diversity in both the gut microbiota and gut microbe-derived EVs were analyzed. Additionally, microbial composition changes according to the stage and location of CRC were analyzed. Microbial composition was significantly changed in CRC subjects compared to control subjects, with evenness and diversity significantly lower in the fecal microbiota of CRC subjects. Gut microbe-derived EVs of stool demonstrated significant differences in the microbial composition, evenness, and diversity in CRC subjects compared to the control subjects. Additionally, microbial composition, evenness, and diversity significantly changed in late CRC subjects compared to early CRC subjects with both fecal microbiota and gut microbe-derived EVs.
Alistipes-
derived EVs could be novel biomarkers for diagnosing CRC and predicting CRC stages.
Ruminococcus
2-derived EVs significantly decreased in distal CRC subjects than in proximal CRC subjects. Gut microbe-derived EVs in CRC had a distinct microbial composition compared to the controls. Profiling of microbe-derived EVs may offer a novel biomarker for detecting and predicting CRC prognosis.
Deep learning (DL) is an advanced machine learning approach used in diverse areas such as bioinformatics, image analysis, and natural language processing. Here, using brain magnetic resonance imaging ...(MRI) data obtained at early stages of infarcts, we attempted to develop a convolutional neural network (CNN) to predict the ambulatory outcome of corona radiata infarction at six months after onset. We retrospectively recruited 221 patients with corona radiata infarcts. A favorable outcome of ambulatory function was defined as a functional ambulation category (FAC) score of ≥ 4 (able to walk without a guardian's assistance), and a poor outcome of ambulatory function was defined as an FAC score of < 4. We used a CNN algorithm. Of the included subjects, 69.7% (n = 154) were assigned randomly to the training set and the remaining 30.3% (n = 67) were assigned to the validation set to measure the model performance. The area under the curve was 0.751 (95% CI 0.649-0.852) for the prediction of ambulatory function with the validation dataset using the CNN model. We demonstrated that a CNN model trained using brain MRIs captured at an early stage after corona radiata infarction could be helpful in predicting long-term ambulatory outcomes.
Particulate matter (PM) can cause illness, including respiratory diseases, and PM2.5 compositions are likely to vary according to the emission profiles of industrial complexes. This study analyzed ...and compared the concentrations and distributions of PM2.5 and heavy metals in two regions of Republic of Korea: Yeosu·Gwangyang, which houses a massive national industrial complex, and Dangjin, which houses power plants. Further, we conducted a health risk assessment on the residents of the areas near these industrial complexes. Measurements were taken at five different points in each setting over a two-year period from August 2020 to August 2022. We found differences in PM2.5 concentrations and heavy metal composition ratios across the sites. Specifically, PM2.5 concentrations exceeded the standard of 1 at all measurement sites, while the specific heavy metals exceeding the standard varied across the sites. Ultimately, we observed regional differences in PM2.5 composition across measurement sites across and within the two regions and variations in health risks and according health effects due to the absence of PM2.5 toxicity values, and compared the health risks of two industrial complexes with different characteristics. These findings underscore the importance of considering not only PM2.5 but also its composition in exposure and health risk assessments.
This study evaluated the efficacy of fibrin glue for preventing postendoscopic submucosal dissection (ESD) bleeding in high-risk patients for bleeding (expected iatrogenic ulcer size ≥40 mm or ...receiving antithrombotic therapy).
A multicenter, open-label, randomized controlled trial was performed at 4 tertiary medical centers in South Korea between July 1, 2020, and June 22, 2022. Patients with gastric neoplasm and a high risk of post-ESD bleeding were enrolled and allocated at 1:1 to a control group (standard ESD) or a fibrin glue group (fibrin glue applied to iatrogenic ulcers after standard ESD). The primary outcome was overall bleeding events within 4 weeks. The secondary outcomes were acute bleeding (within 48 hours post-ESD) and delayed bleeding (48 hours to 4 weeks post-ESD).
In total, 254 patients were randomized, and 247 patients were included in the modified intention-to-treat population (125 patients in the fibrin glue group and 122 patients in the control group). Overall bleeding events occurred in 12.0% (15/125) of the fibrin glue group and 13.1% (16/122) of the control group ( P = 0.791). Acute bleeding events were significantly less common in the fibrin glue group than in the control group (1/125 vs 7/122, P = 0.034). Delayed bleeding events occurred in 11.2% (14/125) in the fibrin glue group and 7.3% (9/122) in the control group ( P = 0.301).
This trial failed to show a preventive effect of fibrin glue on overall post-ESD bleeding in high-risk patients. However, the secondary outcomes suggest a potential sealing effect of fibrin glue during the acute period.
Deep learning (DL) is an advanced machine learning approach used in diverse areas, such as image analysis, bioinformatics, and natural language processing. A convolutional neural network (CNN) is a ...representative DL model that is advantageous for image recognition and classification. In this study, we aimed to develop a CNN to detect meniscal tears and classify tear types using coronal and sagittal magnetic resonance (MR) images of each patient.
We retrospectively collected 599 cases (medial meniscus tear = 384, lateral meniscus tear = 167, and medial and lateral meniscus tear = 48) of knee MR images from patients with meniscal tears and 449 cases of knee MR images from patients without meniscal tears. To develop the DL model for evaluating the presence of meniscal tears, all the collected knee MR images of 1048 cases were used. To develop the DL model for evaluating the type of meniscal tear, 538 cases with meniscal tears (horizontal tear = 268, complex tear = 147, radial tear = 48, and longitudinal tear = 75) and 449 cases without meniscal tears were used. Additionally, a CNN algorithm was used. To measure the model's performance, 70% of the included data were randomly assigned to the training set, and the remaining 30% were assigned to the test set.
The area under the curves (AUCs) of our model were 0.889, 0.817, and 0.924 for medial meniscal tears, lateral meniscal tears, and medial and lateral meniscal tears, respectively. The AUCs of the horizontal, complex, radial, and longitudinal tears were 0.761, 0.850, 0.601, and 0.858, respectively.
Our study showed that the CNN model has the potential to be used in diagnosing the presence of meniscal tears and differentiating the types of meniscal tears.
A subwavelength transmission imaging system based on Bessel–Gauss beam focusing in the 140 GHz frequency band (λ = 2.14 mm) was constructed for food quality inspection purposes. The system employed a ...low-cost beam source for imaging via mechanical raster scanning, and the high resolution (0.75 λ) focusing module had an extended depth of focus (12.6 λ) and supported a large scan area (800 × 400 mm2, 30 min scan time). The performance of the proof-of-concept system was nondestructively investigated by using a variety of food products, such as chocolate bars, dried laver, red ginseng, and walnuts.
•Subwavelength transmission imaging was implemented for food quality inspection.•Large area inspection was demonstrated with a low-cost millimeter wave source.•Various food products were nondestructively tested with high resolution and long DOF.
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•A solid electrolyte membrane (HSE) was fabricated via a solution casting method.•The HSEs consist of LALZO/h-BN composite filler and PVDF-HFP matrix.•The HSE with an optimal h-BN ...amount showed improved electrochemical properties.•The ASSB assembled with the HSE membrane showed superior battery performance.
Hybrid solid electrolytes (HSEs) have received intensive attentions for all-solid-state lithium-based batteries (ASSBs) because of their high ionic conductivity, high mechanical strength, improved electrochemical stability, and effective lithium dendrite suppression capability. In this study, free-standing HSE membranes were fabricated using a poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) matrix and Li6.28Al0.24La3Zr2O12 (LALZO)/hexagonal-BN (h-BN) composite ceramic fillers with different amounts of h-BN. The optimal proportion of h-BN (10 wt%) in the HSE membrane reduces the crystallinity of PVDF-HFP matrix, increases the proportion of the electroactive β phase, and enhances the mechanical strength of the HSE membrane. Furthermore, the PVDF-HFP/LALZO/h-BN 10% HSE membrane exhibited improved electrochemical properties, for example, a lithium-ion transference number of 0.63 at 55 °C, ionic conductivity of 1.1 × 10-4 S cm−1 at 25 °C, electrochemical stability window of ~5.0 V vs. Li/Li+, and effective lithium dendrite suppression capability. The ASSB consisting of a LiFePO4 cathode, PVDF-HFP/LALZO/h-BN 10% HSE, and Li metal anode delivered improved battery performance with an average capacity of 131 mAh g−1 at 0.2C, > 99% coulombic efficiency, and a capacity retention of 92% after 100 cycles.
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