Currently, it is still a challenge to directly achieve highly stable metal–organic frameworks (MOFs) with superior proton conductivity solely through the exquisite design of ligands and the attentive ...selection of metal nodes. Inspired by this, we are intrigued by a multifunctional dicarboxylate ligand including dithiophene groups, 3,4-dimethylthieno2,3-bthiophene-2,5-dicarboxylic acid (H2DTD), and lanthanide ions with distinct coordination topologies. Successfully, four isostructural three-dimensional lanthanide(III)-based MOFs, Ln2(DTD)3(DEF)4·DEF·6H2O LnIII = TbIII (Tb-MOF), EuIII (Eu-MOF), SmIII (Sm-MOF), and DyIII (Dy-MOF), were solvothermally prepared, in which the effective proton transport will be provided by the coordinated or free solvent molecules, the crystalline water molecules, and the framework components, as well as a large number of highly electronegative S and O atoms. As expected, the four Ln-MOFs demonstrated the highest proton conductivities (σ) being 0.54 × 10–3, 3.75 × 10–3, 1.28 × 10–3, and 1.92 × 10–3 S·cm–1 for the four MOFs, respectively, at 100 °C/98% relative humidity (RH). Excitingly, Dy-MOF demonstrated an extraordinary ultrahigh σ of 1 × 10–3 S·cm–1 at 30 °C/98% RH. Additionally, the plausible proton transport mechanisms were emphasized.
The utility of cell-free nucleic acids in monitoring cancer has been recognized by both scientists and clinicians. In addition to human transcripts, a fraction of cell-free nucleic acids in human ...plasma were proven to be derived from microbes and reported to have relevance to cancer. To obtain a better understanding of plasma cell-free RNAs (cfRNAs) in cancer patients, we profiled cfRNAs in ~300 plasma samples of 5 cancer types (colorectal cancer, stomach cancer, liver cancer, lung cancer, and esophageal cancer) and healthy donors (HDs) with RNA-seq. Microbe-derived cfRNAs were consistently detected by different computational methods when potential contaminations were carefully filtered. Clinically relevant signals were identified from human and microbial reads, and enriched Kyoto Encyclopedia of Genes and Genomes pathways of downregulated human genes and higher prevalence torque teno viruses both suggest that a fraction of cancer patients were immunosuppressed. Our data support the diagnostic value of human and microbe-derived plasma cfRNAs for cancer detection, as an area under the ROC curve of approximately 0.9 for distinguishing cancer patients from HDs was achieved. Moreover, human and microbial cfRNAs both have cancer type specificity, and combining two types of features could distinguish tumors of five different primary locations with an average recall of 60.4%. Compared to using human features alone, adding microbial features improved the average recall by approximately 8%. In summary, this work provides evidence for the clinical relevance of human and microbe-derived plasma cfRNAs and their potential utilities in cancer detection as well as the determination of tumor sites.
Biochar is a solid material enriched with carbon produced by the thermal transformation of organic raw materials under anoxic or anaerobic conditions. It not only has various environmental benefits ...including reducing greenhouse gas emissions, improving soil fertility, and sequestering atmospheric carbon, but also has the advantages of abundant precursors, low cost, and wide potential applications, thus gaining widespread attention. In recent years, researchers have been exploring new biomass precursors, improving and developing new preparation methods, and searching for more high-value and meaningful applications. Biochar has been extensively researched and utilized in many fields, and recently, it has also shown good industrial application prospects and potential application value in the printing field. In such a context, this article summarizes the typical preparation and modification methods of biochar, and also reviews its application in the printing field, to provide a reference for future work.
Purpose
The purpose of this study was to determine the risk factors for the development of a permanent stoma in laparoscopic intersphincteric resection (LS-ISR) for ultralow rectal adenocarcinoma and ...to develop and validate a prediction model to predict the probability of permanent stoma after surgery.
Methods
A primary cohort consisting of 301 consecutive patients who underwent LS-ISR was enrolled in this study. Multivariable logistic regression analysis was used to identify risk factors and develop the nomogram. The performance of the nomogram was assessed with respect to its calibration, discrimination, and clinical usefulness. An independent validation cohort contained 91 consecutive patients from January 2012 to January 2019.
Results
The permanent stoma rate was 11.3% (34/301) in the primary cohort and 18.7% (17/91) in the validation cohort. Multivariable analysis revealed that nCRT (OR, 3.195; 95% CI, 1.169-8.733;
P
=0.024), ASA score of 3 (OR, 5.062; 95% CI, 1.877-13.646;
P
=0.001), distant metastasis (OR, 14.645; 95% CI, 3.186-67.315;
P
=0.001), and anastomotic leakage (OR, 11.308; 95% CI, 3.650-35.035;
P
<0.001) were independent risk factors for permanent stoma, and a nomogram was established. The AUCs of the nomogram were 0.842 and 0.858 in the primary and validation cohorts, respectively. The calibration curves showed good calibration in both cohorts. Decision curve analysis demonstrated that the nomogram was clinically useful.
Conclusion
We developed and validated a nomogram for ultralow rectal adenocarcinoma patients who underwent LS-ISR, and the nomogram could help surgeons identify which patients are at a higher risk of a permanent stoma after surgery.
Anal fissure is a common colorectal disease impacting patients' life quality with high incidence. Social media platforms are becoming a kind of health information source nowadays. This study aims to ...evaluate and compare the quality of anal fissure-related videos on TikTok and YouTube.
One hundred videos were sourced from TikTok and YouTube, respectively and videos were screened further. The completeness of six types of content within the videos is assessed, including the definition of disease, symptoms, risk factors, evaluation, management and outcomes. Finally, the DISCERN instrument, Patient Education Materials Assessment Tool and Global Quality scale are used to assess video display quality and content. A correlation analysis is undertaken considering the video features, DISCERN, PEMAT and GQS scores.
Physicians and non-profit organizations contributed almost all video content among selected videos. A statistically significant correlation between DISCERN classification and duration, PEMAT understandability, PEMAT actionability and GQS scores is recorded. DISCERN total scores were significantly positively correlated with video duration, PEMAT understandability, PEMAT actionability and GQS scores. GQS scores were significantly positively correlated with duration, PEMAT understandability and PEMAT actionability scores. For content, the videos mainly described management and symptoms while containing limited information on the disease evaluation, and outcomes.
The sources of uploaders on YouTube are more diverse than TikTok, and the quality of videos is also relatively higher on YouTube. Even so, the video quality of the two platforms still needs to be further improved. Health information without integrity, reliability and practicability impacts patients' disease perception and health-seeking behavior, leading to serious consequences. Much effort must be taken to improve the quality of videos regarding anal fissures on the two platforms, which will facilitate the development of public health education on this issue.
To investigate the radiomics models for the differentiation of simple and non-simple acute appendicitis. This study retrospectively included 334 appendectomy cases (76 simple and 258 non-simple ...cases) for acute appendicitis. These cases were divided into training (n = 106) and test cohorts (n = 228). A radiomics model was developed using the radiomic features of the appendix area on CT images as the input variables. A CT model was developed using the clinical and CT features as the input variables. A combined model was developed by combining the radiomics model and clinical information. These models were tested, and their performance was evaluated by receiver operating characteristic curves and decision curve analysis (DCA). The variables independently associated with non-simple appendicitis in the combined model were body temperature, age, percentage of neutrophils and Rad-score. The AUC of the combined model was significantly higher than that of the CT model (P = 0.041). The AUC of the radiomics model was also higher than that of the CT model but did not reach a level of statistical significance (P = 0.053). DCA showed that all three models had a higher net benefit (NB) than the default strategies, and the combined model presented the highest NB. A nomogram of the combined model was developed as the graphical representation of the final model. It is feasible to use the combined information of clinical and CT radiomics models for the differentiation of simple and non-simple acute appendicitis.
Abstract The long noncoding (lnc) RNA H19 was involved in the tumorigenesis of many types of cancer. However, the role of H19 in the tumorigenesis of colon cancer has not been fully illustrated. ...Recent studies suggested a potential relationship between H19 and vitamin D receptor (VDR) signaling. Considering the pivotal role of VDR signaling in the colon epithelium both physiologically and pathologically, the correlation between H19 and VDR signaling may have an important role in the development of colon cancer. In this study, the correlation between H19 and vitamin D receptor (VDR) signaling and the underlying mechanisms in colon cancer were investigated both in vitro and in vivo . The results suggested that VDR signaling was able to inhibit the expression of H19 through regulating C-Myc/Mad-1 network. H19, on the other hand, was able to inhibit the expression of VDR through micro RNA 675-5p ( miR-675-5p ). Furthermore, H19 overexpression induced resistance to the treatment with 1,25(OH)2D3 both in vitro and in vivo . Together, these results suggested that H19 overexpression might be one of the mechanisms underlying the development of resistance to the treatment with 1,25(OH)2D3 in the advanced stage of colon cancer.
Solid state reaction is widely used in the synthesis of electrode materials, due to its low cost and good scalability. However, the traditional solid-state reaction is not suitable for the synthesis ...of materials with multiple elements, such as high entropy or medium entropy materials, due to the poor homogeneity of raw material mixing. Here, we prepared multi-element doped LiNi0.5Mn1.5O4 (medium entropy) cathode material by two step solid state reaction. X-ray diffraction and Raman image show that the homogeneity of multi-element doped LiNi0.5Mn1.5O4 cathode has been greatly improved with this two-step method. As a result, the electrochemical performance is greatly improved, comparing to traditional solid-state reaction. First, the specific capacity at 0.1 C is increased from 126 mAh/g to 137 mAh/g. With a high current density of 10 C, the specific capacity is even increased from 64 mAh/g to 89 mAh/g with this two-step method. Second, the cycle stability is enhanced, with capacity retention of 86% after cycling at 1 C for 500 times (vs. 71% for the one-step method).
This paper studies the problem of using minimum power to provide satisfactory performance for real-time applications over unreliable and fading wireless channels. We demonstrate that this problem can ...be formulated as a linear programming problem. However, this formulation involves exponentially many constraints, and many parameters are either unavailable or difficult to compute, which makes it infeasible to employ standard techniques to solve the linear programming problem. Instead, we propose a simple online algorithm for this problem. We prove that our algorithm provides satisfactory performance to all real-time applications, and the total power consumption can be made arbitrarily close to the theoretical lower bound. Furthermore, our algorithm has very low complexity and does not require knowledge of many parameters in the linear programming problem, including the distributions of channel qualities. We further extend our algorithm to address systems where real-time applications and non-real-time ones coexist. We demonstrate that our algorithm achieves both low total power consumption and high utility for each non-real-time client while satisfying the performance requirements of real-time clients. Simulation results further provide some insights in setting important parameters of our algorithms, and demonstrate that our algorithm indeed achieves a significant reduction in power consumption.
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