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The clinical utility of Dixon water-fat separation coronary MR angiography (CMRA) with compressed sensing (CS) reconstruction has not been determined in a patient population. This study was designed to evaluate the performance of 3.0 T non-contrast-enhanced Dixon water-fat separation CS whole-heart CMRA sequence in vitro and in vivo.In vitro phantom MRI, we compared key parameters of the SENSE and CS images. And in this prospective in vivo study, from November 2019 to October 2020, 94 participants were recruited for 3.0 T non-contrast-enhanced Dixon water-fat separation CS whole-heart CMRA. The accuracy of CMRA for detecting a ≥ 50% reduction in diameter was determined using X-ray coronary angiography (CA) as the reference method.Compared with SENSE, CS with an appropriate acceleration factor offers both higher SNR/CNR (p0.05) and a shortened acquisition. Fifty-eight patients successfully completed the CMRA and CA. The sensitivity, specificity, positive predictive values, negative predictive values, and accuracy of 3.0 T non-contrast-enhanced Dixon water-fat separation CS whole-heart CMRA according to a patient-based analysis were 96.4%, 66.7%, 73.0%, 95.2% and 81.0%, respectively. The area under the receiver-operator characteristic (ROC) curve (AUC) of 3.0 T non-contrast-enhanced Dixon water-fat separation CS whole-heart CMRA for detecting significant coronary artery stenosis is 0.908, 0.895, and 0.904 in patient-, vessel-, and segment-based analyses respectively.3.0 T non-contrast-enhanced Dixon water-fat separation whole-heart CMRA using appropriate CS is a promising noninvasive and radiation-free technique to detect clinically significant coronary stenosis on patients with suspected CAD.

To develop and validate a radiomics nomogram for differentiating between malignant pulmonary nodules and benign nodules.56 benign and 51 malignant nodules from 96 patients were analyzed using manual segmentation of the T2-fBLADE-TSE, while the nodules signal intensity (SIlesion), lesion muscle ratio (LMR) and nodule size were all measured and recorded. The maximum relevance and minimum redundancy (mRMR) and the least absolute shrinkage and selection operator (LASSO) were used to select nonzero coefficients and develop the model in pulmonary nodules diagnosis. The radiomics nomogram was also developed. The clinical prediction value was determined by the decision curve analysis (DCA).The nodule size, SIlesion and LMR of the benign group were 1.78 ± 0.57 cm, 227.50 ± 81.39 and 2.40 ± 1.27 respectively, in contrast to the 2.00 ± 0.64 cm, 232.87 ± 82.21 and 2.17 ± 0.91, respectively, in the malignant group (P = 0.09, 0.60 and 0.579). A total of 13 radiomics features were retained. The Rad-score of the benign nodules group was lower than that of the malignant nodules group (P0.0010.049, trainingtest set). The AUC of radiomics signature for nodules diagnosis was 0.82 (95% CI, 0.73-0.91) in the training set and 0.71 (95% CI, 0.51-0.90) in the test set. A nomogram, consisting of 13 radiomics features and nodule size, produced good prediction in the training set (AUC, 0.82; 95% CI, 0.73-0.91), which was significantly better than that of T2-based quantitative parameters (AUC, 0.62; 95% CI, 0.50-0.75, P = 0.003). In the test set, the performance of radiomics nomogram (AUC, 0.70; 95% CI, 0.51-0.90) was also better than that of T2-based quantitative parameters (AUC, 0.46; 95% CI, 0.25-0.67) (P = 0.145). The DCA showed that radiomics nomogram and T2-based quantitative parameter had overall net benefits, while the performance of nomogram was better.We constructed and validated a T2-fBLADE-TSE-based radiomics nomogram that can help to differentiate between malignant pulmonary nodules and benign nodules.

The popularity of smartphones and the advent of GPS positioning and wireless communication technologies in the recent decade have facilitated large-scale implementations of dynamic ridepooling services, such as Uber Pool, Lyft Line, and Didi Pinche. As in such services trips usually start before the appearance of pooling partners, knowing the probability of getting matching with another order (i.e., matching probability), the expected detour distance, and the expected shared distance before the start of each trip is essential for passengers to evaluate their willingness to pool and for ridepooling platforms to offer attractive discounts. In this paper, assuming that every ridepooling passenger shares vehicle space with at most one another during the entire trip, and ridepooling orders in each (origin-destination) OD pair appear following a Poisson process with a given rate, we propose a mathematical modeling approach to predict the matching probability, the expected ride distance, and the expected shared distance of each order under a first-come-first-serve strategy in dynamic ridepooling service. The method defines unmatched passengers at different locations along the exclusive-riding path of each OD pair into different seeker- and taker-states, formulates the complex interdependency of the matching probabilities, matching rates and arrival rates of (unmatched) passengers in different states into a system of nonlinear equations, and generates the matching probabilities and expected ride/shared distances of all OD pairs simultaneously. Under the same first-come-first-serve strategy, we simulated the occurrence, movements and state transitions of ridepooling orders based on a 30*30 grid network and the real network of Haikou City in China. In comparison with simulation results, we show that the method proposed in this paper can generate fairly satisfactory predictions under diverse matching conditions and demand intensities.

Background The long-term prognostic value of coronary CT angiography (CCTA) in asymptomatic adults with hepatic steatosis (HS) remains unknown. Purpose To evaluate the long-term prognostic value of CCTA in asymptomatic adults with HS. Materials and Methods Between January 2009 and December 2013, consecutive asymptomatic adults who underwent CCTA evaluation and unenhanced abdominal CT were prospectively enrolled. All participants were divided into two groups-with HS and without HS according to abdominal CT results. The primary end point was major adverse cardiovascular events (MACEs), defined as cardiac death, stroke, myocardial infarction, and angina requiring hospitalization. Multivariable Cox regression analysis and Kaplan-Meier analysis were used to compare survival rates. Results One thousand thirteen participants with HS and 1940 participants without HS who completed the follow-up were included (mean age, 66 years ± 10 [standard deviation] [range, 29-90 years]; 1940 men). During a median of 7.2 years of follow-up (interquartile range, 6.3-8.1), MACEs were observed in 96 of 1013 participants with HS (10%), whereas 80 of 1940 participants without HS (4%) had MACEs. In participants with a Coronary Artery Disease Reporting and Data System (CAD-RADS) category of 0, both participants with and without HS had a similar 8.8-year event-free survival rate (99.2% event-free survival rate in participants with HS vs 99.0% event-free survival rate in participants without HS, P = .77). As for participants with CAD-RADS categories 1 or 2 or 3-5, the 8.8-year event-free survival rate was lower in participants with HS than in those without HS (70.6% vs 85.2%, P < .001; 51.4% vs 71.7%, P = .03, respectively). The risk of MACEs was higher for participants with HS than for those without HS in CAD-RADS categories 1 and 2 (adjusted hazard ratio = 2.3; 95% CI: 1.4, 3.9; P < .001) and CAD-RADS categories 3-5 (adjusted HR = 2.1; 95% CI: 1.2, 3.6; P = .006) but not in the setting of CAD-RADS category 0 (adjusted HR = 5.1; 95% CI: 0.1, 398; P = .47). Conclusion Asymptomatic participants with hepatic steatosis (HS) had a worse prognosis than those without HS in the presence of coronary artery disease (CAD) at coronary CT angiography, whereas participants with HS and without CAD might have excellent clinical outcomes during a median follow-up of 7.2 years. © RSNA, 2021 Online supplemental material is available for this article.

Background Artificial intelligence can assist in cardiac image interpretation. Here, we achieved a substantial reduction in time required to read a cardiovascular magnetic resonance (CMR) study to estimate left atrial volume without compromising accuracy or reliability. Rather than deploying a fully automatic black-box, we propose to incorporate the automated LA volumetry into a human-centric interactive image-analysis process. Methods and results Atri-U, an automated data analysis pipeline for long-axis cardiac cine images, computes the atrial volume by: (i) detecting the end-systolic frame, (ii) outlining the endocardial borders of the LA, (iii) localizing the mitral annular hinge points and constructing the longitudinal atrial diameters, equivalent to the usual workup done by clinicians. In every step human interaction is possible, such that the results provided by the algorithm can be accepted, corrected, or re-done from scratch. Atri-U was trained and evaluated retrospectively on a sample of 300 patients and then applied to a consecutive clinical sample of 150 patients with various heart conditions. The agreement of the indexed LA volume between Atri-U and two experts was similar to the inter-rater agreement between clinicians (average overestimation of 0.8 mL/m2 with upper and lower limits of agreement of − 7.5 and 5.8 mL/m2, respectively). An expert cardiologist blinded to the origin of the annotations rated the outputs produced by Atri-U as acceptable in 97% of cases for step (i), 94% for step (ii) and 95% for step (iii), which was slightly lower than the acceptance rate of the outputs produced by a human expert radiologist in the same cases (92%, 100% and 100%, respectively). The assistance of Atri-U lead to an expected reduction in reading time of 66%—from 105 to 34 s, in our in-house clinical setting. Conclusions Our proposal enables automated calculation of the maximum LA volume approaching human accuracy and precision. The optional user interaction is possible at each processing step. As such, the assisted process sped up the routine CMR workflow by providing accurate, precise, and validated measurement results.

PURPOSE Strict clinical criteria used by Medicare for germline testing for Lynch syndrome (LS) could lead to missed diagnoses of hereditary cancer syndromes given variable individual and family phenotypes. The aim of this study was to compare rates and spectrum of pathogenic or likely pathogenic (P/LP) variants in LS and other hereditary cancer genes on the basis of meeting Medicare LS testing criteria. METHODS Retrospective review of Medicare beneficiaries who had multigene panel testing with an indication of personal or family history of colorectal cancer (CRC) was performed. Ordering providers determined if Medicare LS criteria were met. The results of genetic testing were compared on the basis of whether or not Medicare testing criteria were met. RESULTS Among 639 Medicare beneficiaries, 495 (77.5%) met testing criteria. Overall rates of P/LP variant identification were similar between those meeting and not meeting testing criteria (18.4% v 11.8%; P = .06). LS was diagnosed more frequently among those meeting testing criteria (10.1% v 4.9%; P = .05). No statistical differences were found in rates of P/LP variant identification for non-LS CRC genes (5.3% v 5.6%; P = .89) or non-CRC genes (4.2% v 2.1%; P = .23). PMS2, MUTYH, and ATM P/LP variants were found at higher rates among those outside of criteria. CONCLUSION Among Medicare beneficiaries undergoing genetic testing for suspected LS, rates of P/LP variants in actionable cancer genes were similar regardless of whether testing criteria were met. Current testing criteria fail to identify individuals with P/LP variants in PMS2 and other actionable cancer genes. Relaxing LS testing criteria could improve identification of individuals with hereditary cancer syndromes among Medicare beneficiaries.

There are around 300 million adolescent pregnancies worldwide, accounting for 11% of all births worldwide. Accumulating evidence demonstrates that many adverse perinatal outcomes are associated with adolescent pregnancies. However, how and why these abnormalities occur remain to be defined. In this study, pregnancy at different stages was compared between 25- and 30- day-old and mature female mice. We found that the litter size of adolescent pregnancy is significantly decreased from F1 to F3 generations compared to mature pregnancy. On days 8 and 12 of pregnancy, multiple abnormalities in decidual and placental development appear in F3 adolescent pregnancy. On days 5 and 8, uterine endoplasmic reticulum stress is dysregulated in F3 adolescent pregnancy. Embryo implantation and decidualization are also compromised in adolescent pregnancy. Many genes are abnormally expressed in adolescent estrous uteri. The abnormal endocrine environment and abnormal implantation from uterine immaturity may result in multiple pregnancy failures in adolescent pregnancy. The aim of this study is to shed light on human adolescent pregnancy.

Computerized interpretation of electrocardiogram plays an important role in daily cardiovascular healthcare. However, inaccurate interpretations lead to misdiagnoses and delay proper treatments. In this work, we built a high-quality Chinese 12-lead resting electrocardiogram dataset with 15,357 records, and called for a community effort to improve the performances of CIE through the China ECG AI Contest 2019. This dataset covers most types of ECG interpretations, including the normal type, 8 common abnormal types, and the other type which includes both uncommon abnormal and noise signals. Based on the Contest, we systematically assessed and analyzed a set of top-performing methods, most of which are deep neural networks, with both their commonalities and characteristics. This study establishes the benchmarks for computerized interpretation of 12-lead resting electrocardiogram and provides insights for the development of new methods. Graphical AbstractA community effort to assess and improve computerized interpretation of 12-lead resting electrocardiogram Supplementary information The online version contains supplementary material available at 10.1007/s11517-021-02420-z.

Background To test the advantages of positron emission tomography and computed tomography (PET/CT) for diagnosing lymph nodes and staging nasopharyngeal carcinoma and to investigate its benefits for survival and treatment decisions. Methods The performance of PET/CT and magnetic resonance imaging (MRI) in diagnosis was compared based on 460 biopsied lymph nodes. Using the propensity matching method, survival differences of T3N1M0 patients with (n = 1093) and without (n = 1377) PET/CT were compared in diverse manners. A radiologic score model was developed and tested in a subset of T3N1M0 patients. Results PET/CT performed better than MRI with higher sensitivity, accuracy, and area under the receiver operating characteristic curve (96.7% vs. 88.5%, p p p p p = 0.006) for the high-risk patients selected by the model but not for those without risk stratification (p = 0.78). Conclusion PET/CT showed advantages in staging nasopharyngeal carcinoma due to a more accurate diagnosis of lymph nodes and this contributed to a survival benefit. PET/CT combined with MRI provided prognostic factors that could identify high-risk patients and guide individualized treatment.

To study the lateral deformation characteristics of coal under different confining pressures, coal compression experiments with confining pressures of 0 MPa, 3 MPa, 5 MPa, and 7 MPa were conducted under the same loading rate by using the TAW-2000 electrohydraulic servo rock mechanics experimental machine. The results of the study showed the following: at the initial stage of loading, the lateral strain of coal was about 12.22%–46.9% of the axial strain at the elastic deformation stage and 41.18%–64.96% of the axial strain at the inelastic deformation to peak stress stage. Compared with the experiment under 0 MPa confining pressure, the growth rate of the lateral strain of the coal under 3 MPa, 5 MPa, and 7 MPa confining pressures was much smaller than that of the corresponding axial strain. When the coal was damaged under different confining pressures, the lateral strain was maintained at about 0.6 × 10−2. Based on the field verification, we proposed that the lateral strain during the coal failure and the nonlinear region of the lateral axis ratio changing with time can be used as potential parameters for predicting the coal failure.

Jia Liu,1,&ast; Jun-Fei Zhang,2,&ast; Han-Ning Ma,2 Ke Feng,2 Zhong-Wei Chen,2 Li-Shan Yang,2 Bin Mei,3 Jun-Jian Zhang4 1Medical Experimental Center, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750000, People’s Republic of China; 2Department of Emergency Medical, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750000, People’s Republic of China; 3Department of Social Medical Development, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, People’s Republic of China; 4Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, 430071, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Zhong-Wei Chen; Li-Shan Yang Email 13995390007@163.com; nyfyyls@126.comObjective: Information regarding the epidemiology and clinical features of mild to moderate patients caused by COVID-19 in Fangcang Hospital is scarce. Through a retrospective cohort study, the clinical characteristics of COVID-19 patients in Dongxihu Fangcang shelter hospitals were analyzed, and the factors that affected the disease progression of COVID-19 patients were explored.Methods: The clinical characteristics of 714 patients with COVID-19 were retrospectively analyzed at Dongxihu Fangcang Hospital between February 7 and March 8, 2020. We described the clinical characteristics and distribution of discharge or transfer times for each patient. According to the disease progression of COVID-19 patients, we divided all patients into Non-Deteriorated group and Deteriorated group. Furthermore, binary logistic regression was used for a single outcome and multiple response variables.Results: We treated 789 patients with mild and moderate COVID-19, of which 714 were included in this study, which included 326 (45.66%) deteriorated patients and 388 (54.34%) non-deteriorated patients. The mean age of the study population was 48.16± 12.44 years. Of all patients, 319 (44.7%) were men and 395 (55.3%) were women. The average length of the patient’s stay was 16.08± 5.13 days. The most common clinical feature on admission was fever (593 of 714, 83.05%). It is worth noting that 80 (11.20%) of the 714 patients were asymptomatic from exposure to admission. Multivariate logistic regression analysis showed that gender, age, diabetes, respiratory system disease, fever, dyspnea, and nasal congestion were risk factors associated with deterioration in cases with COVID-19 patients, and asymptomatic (OR: 0.058; 95% CI: 0.022– 0.155; P< 0.001) was the protective factor for deterioration of COVID-19 patients.Conclusion: Accompanied by chronic diseases, old age, fever, nasal congestion, and dyspnea were factors that influenced the aggravation of COVID-19 patients, and more attention and treatment should be given to these patients.Keywords: clinical characteristics, mild to moderate, makeshift (fangcang) hospital, influence factors

Pei Shan Yang,1,2 Sophia Delpe,2 Casey G Kowalik,2 W Stuart Reynolds,2 Melissa R Kaufman,2 Roger R Dmochowski2 1Department of Urologic Surgery, Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan; 2Department of Urologic Surgery, Vanderbilt University Medical Center, Nashville, TN, USACorrespondence: Pei Shan YangDepartment of Urologic Surgery, Chang Gung Memorial Hospital and Chang Gung University, No. 5, Fuxing Street, Guishan District, Taoyuan, 333, TaiwanTel +886 328-1200Email dr.yang.uro@gmail.comIntroduction: Pubovaginal sling is an efficient and safe procedure for stress urinary incontinence without the complications of synthetic sling. Urine retention and de novo urgency are bothersome aftermath of this procedure. We aim to identify potential risk factors for de novo urgency after autologous pubovaginal sling.Methods: From 2013 to 2016, 347 patients underwent autologous pubovaginal sling. Age, BMI, pelvic irradiation, use of anticholinergic medication, previous vaginal related surgical histories, “over-tight” technique, and concomitant surgeries were examined for potential risk factors. De novo urgency/urge incontinence was defined as treatment (medication, botulinum toxin injection, sacral neuromodulation) for urge postoperatively and was not noted before surgery. Chi-square and fisher’s exact tests were used as statistical analysis.Results: A total of 109 patients underwent autologous rectus fascia pubovaginal sling, after excluding status post urethral diverticulectomy, concomitant diverticulectomy, and concomitant abdominal surgery. Twenty-three (21.1%) patients were treated for de novo urge/urge incontinence, 18 (78.2%) with anticholinergic, 4 (17.3%) with botox injection and 2 (8.69%) with sacral neuromodulation. None but prior pelvic organ prolapse surgery was associated with developing de novo urge/urge incontinence (p=0.026).Discussion: Patients with prior pelvic organ prolapse surgery were more likely to be at risk of de novo urgency after autologous pubovaginal sling. This study provided more information for preoperative consultation for patients undergoing incontinence surgery.Keywords: autologous fascial sling, de novo urgency, stress urinary incontinence, urge urinary incontinence

In this research, we proposed a highly tunable hybrid plasmonic biosensor for identifying molecule fingerprints of proteins in the infrared range. The device is composed of a photonic band-gap structure and a cavity. The plasmonic energy is confined inside the cavity to enhance the light-analyte interactions. A layer of graphene is placed on the bottom surface of the cavity that is filled with analytes for detection. Our device has a high value of effective sensitivity that is defined as the ratio of the resonant frequency shift to the change of effective refractive index when the cavity is loaded with an analyte. The effective refractive index takes into account the effects of both the cavity structure and the optical property of the analyte. Another feature of our device is that a wide-ranging electrical tunability can be realized by applying various values of bias voltage to the graphene. The resonant frequency can be tuned for sensing different analytes without redesigning and refabricating the device. In addition, the graphene tunability can improve the sensitivity in detecting the non-targeted analytes. A prototype was designed based on photonic theory and fabricated via bottom-up lithography techniques. The research results are expected to be beneficial for nanometer-range bio-identifications and infrared optical sensors.

Background: Increased IL-6 level, M2 macrophages and PD-1+CD8+ T cells in tumor microenvironments (TME) have been identified to correlate with resistance to checkpoint blockade immunotherapy, yet the mechanism remains poorly understood. Rab small GTPase-mediated trafficking of cytokines is critical in immuno-modulation. We have previously reported dysregulation of Rab37 in lung cancer cells, whereas the roles of Rab37 in tumor-infiltrating immune cells and cancer immunotherapy are unclear. Methods: The tumor growth of the syngeneic mouse allograft in wild type or Rab37 knockout mice was analyzed. Imaging analyses and vesicle isolation were conducted to determine Rab37-mediated IL-6 secretion. STAT3 binding sites at PD-1 promoter in T cells were identified by chromatin immunoprecipitation assay. Multiplex fluorescence immunohistochemistry was performed to detect the protein level of Rab37, IL-6 and PD-1 and localization of the tumor-infiltrating immune cells in allografts from mice or tumor specimens from lung cancer patients. Results: We revealed that Rab37 regulates the secretion of IL-6 in a GTPase-dependent manner in macrophages to trigger M2 polarization. Macrophage-derived IL-6 promotes STAT3-dependent PD-1 mRNA expression in CD8+ T cells. Clinically, tumors with high stromal Rab37 and IL-6 expression coincide with tumor infiltrating M2-macrophages and PD1+CD8+ T cells that predicts poor prognosis in lung cancer patients. In addition, lung cancer patients with an increase in plasma IL-6 level are found to be associated with immunotherapeutic resistance. Importantly, combined blockade of IL-6 and CTLA-4 improves survival of tumor-bearing mice by reducing infiltration of PD1+CD8+ T cells and M2 macrophages in TME. Conclusions: Rab37/IL-6 trafficking pathway links with IL-6/STAT3/PD-1 transcription regulation to foster an immunosuppressive TME and combined IL-6/CTLA-4 blockade therapy exerts potent anti-tumor efficacy.

Objective:Since December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been discovered in Wuhan and spread rapidly across China and worldwide. Characteristics of infected patients are needed to get insight into the full spectrum of the disease.Methods:Epidemiological and clinical information of 1738 diagnosed patients during February 7-26, 2020 in Wuhan Dongxihu Fangcang Hospital were analyzed. A total of 709 patients were followed up on symptom, mental health, isolation site, and medication after discharge.Results:There were 852 males and 886 females in the cohort. The average age of the patients was 48.8 y. A total of 79.98% of the patients were from Wuhan, Hubei Province. The most common initial symptoms were fever, cough, and shortness of breath. Among all the patients, 1463 had complications, with respiratory distress as the most common complication. The average duration of hospitalization was 15.95 ± 14.69 d. The most common postdischarge symptom is cough. After discharge, most patients were full of energy and chose hotel as their self-isolation site. Coronavirus disease 2019 (COVID-19) Chinese medicine No.2 prescription is the medication used most commonly by the patients after discharge.Conclusions:The population is generally susceptible to SARS-CoV-2. After receiving aggressive treatment of combined Chinese and Western medicine, most patients had a good prognosis and mental health after discharge.

Rapidly obtaining accurate dense disparity maps has been the focus of stereo matching research. At present, approaches that achieve superior disparity maps require a large amount of computation, which is not suitable for practical applications. To address this issue, this paper proposes an efficient local matching method based on an adaptive exponentially weighted moving average filter and simple linear iterative clustering segmentation algorithm. First, an effective matching cost is introduced to adaptively integrate absolute intensity difference with Census transform, which is robust against texture free and luminance variate. Following this, during the cost aggregation, the exponentially weighted moving average filter and the SLIC segmentation are combined to handle the problems of computing consumption and adaptive expansion of the cost aggregation window. Finally, the dense disparity map is obtained by a winner‐takes‐all approach and disparity refinement. To demonstrate its efficiency and validity, the method is quantitatively tested and compared to existing approaches on the Middlebury benchmark. The results show that it has a non‐occlusion accuracy of 90.66% and an average runtime of 7.01 s on the 2014 Middlebury dataset. Compared with existing competitive methods, the proposed method achieves superior matching results with a lower time cost.

This article presents a digital ultraviolet (UV) beam lithography system for fabricating microstructures of arbitrary patterns on a roller mold. This roller mold can then be used in roller imprinting for fast and large-area replication of microstructures on substrates. This digital optomechanical system consists of a UV light source, a digital micromirror device (DMD) and its electronic controller, a high-precision image lens, a fiber array integrated with microlenses on both ends, and a two-axis ( x – θ ) servo-controlled motion stage. It exposes a photoresist (PR) layer coated on the cylindrical surface of a roller with a linear array of 192 small UV spots focused by a microlens/fiber array. On the other end of the fibers, UV light is fed by DMD's micromirrors so that the UV light can be dynamically modulated. Finally, by synchronizing the electronics of DMD chip and the mechanical movement (rotation and translation) of the roller, one can achieve arbitrary UV patterning on the roller's PR layer in a digital and maskless manner. This system can successfully achieve UV patterning with a smallest linewidth of 8 μ m, a pattern resolution of 2.5 μ m, and a total patterning width of 192 mm on a roller with a diameter of 100 mm.

Background and Purpose As magnetic resonance imaging (MRI) signs of normal pressure hydrocephalus (NPH) may precede clinical symptoms we sought to evaluate an algorithm that automatically detects this pattern. Methods A support vector machine (SVM) was trained in 30 NPH patients treated with ventriculoperitoneal shunts and 30 healthy controls. For comparison, four neuroradiologists visually assessed sagittal MPRAGE images and graded them as no NPH pattern, possible NPH pattern, or definite NPH pattern. Results Human accuracy to visually detect a NPH was between 0.85 and 0.97. Interobserver agreement was substantial (κ = 0.656). Accuracy of the SVM algorithm was 0.93 and AUROC 0.99. Among 272 prespecified regions, gray matter and CSF volumes of both caudate, the right parietal operculum, the left basal forebrain, and the 4th ventricle showed the highest discriminative power to separate a NPH and a no NPH pattern. Conclusion A NPH pattern can be reliably detected using a support vector machine (SVM). Its role in the work-up of asymptomatic patients or neurodegenerative disease has to be evaluated.

Increasing circRNAs have attracted a lot of attention because of their significant biological effects in many diseases. It has been reported that circ_0008305 can modulate lung cancer progression. However, the association between circ_0008305 and hepatocellular carcinoma (HCC) needs to be well explored. In this current research, we studied the molecular function and potential mechanism of circ_0008305 in HCC progression. First, it was demonstrated that circ_0008305 was greatly increased in HCC tissues and cells. Moreover, we observed silencing circ_0008305 markedly repressed HCC cells in vitro growth and reduced tumor growth in vivo. Additionally, it was identified that circ_0008305 can act as a sponge of miR‐660 while miR‐660 targeted Bcl‐2‐associated athanogene 5 (BAG5). BAG5 belongs to a member of BAG family and it is involved in multiple diseases. We reported that circ_0008305 contributed to the inhibition of miR‐660, which resulted in an upregulated expression of BAG5 in HCC. Subsequently, rescue assays were conducted and it was indicated that loss of BAG5 reversed the effects of miR‐660 inhibitors on HCC partially. To sum up, it was illustrated by our study that circ_0008305‐mediated miR‐660‐5p/BAG5 axis triggered HCC progression, which could provide a novel insight on the underlying mechanism of HCC progression., circ_0008305 was greatly increased in HCC tissues and cells. circ_0008305 can act as a sponge of miR‐660. miR‐660 targeted Bcl‐2‐associated athanogene 5 (BAG5).

In order to evaluate the stability of surrounding rock scientifically and reasonably, a model for evaluation of underground engineering surrounding rock stability based on D-S evidence theory and error-eliminating theory was proposed. Firstly, aiming at the fuzziness and complexity of index weight in the evaluation of surrounding rock stability, four groups of index weight were obtained by using four kinds of weighting methods and synthesized by D-S evidence theory to avoid the difference of single weighting method in calculating index weight. Then, 16 groups of measured rock mass data of the first-stage underground project in Guangzhou pumped storage power plant were taken as samples, and a model for the surrounding rock stability evaluation based on D-S evidence and error-eliminating was constructed. Finally, the established model was applied to the evaluation of the surrounding rock stability of the second-stage underground project of the power plant, and the evaluation results were consistent with those of the other four evaluation models. The results show that D-S evidence theory improves the weighting method, and error-eliminating theory optimizes the defect of setting upper and lower limit values in standard of surrounding rock evaluation. The evaluation results of the established model are accurate and reliable. It provides a new method for the evaluation of underground engineering surrounding rock stability and has certain guiding significance in engineering practice.

Jun-Fei Zhang,1,* Jia Liu,2,* Han-Ning Ma,1 Ke Feng,1 Zhong-Wei Chen,1 Li-Shan Yang,1 Bin Mei,3 Jun-Jian Zhang4 1Department of Emergency Medicine, General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750000, People’s Republic of China; 2Medical Experiment Center, General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750000, People’s Republic of China; 3Department of Social Medical Development, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, People’s Republic of China; 4Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhong-Wei Chen; Li-Shan Yang Email 13995390007@163.com; nyfyyls@126.comRationale: Currently, the “gold standard” is real-time reverse transcriptase–polymerase chain reaction (RT-PCR) amplification of the viral DNA for diagnosis of COVID-19 infection. However, early reports of test performance in the Wuhan outbreak showed variable sensitivities. Therefore, the simple use of RT-PCR as a discharge standard for COVID-19 patients may be risky. Early discussions suggested that CT should be the preferred modality for the diagnosis of COVID-19. However, the use of CT for COVID-19 discharge is controversial. In the Fangcang hospital, we performed multiple nucleic acid tests and chest CT examinations in all patients. For discharged patients, we performed multiple nucleic acid tests and chest CT scans on the basis of discharge standards to minimize the incidence of false negatives in nucleic acid tests.Patient Concerns: Two 42-year-old male patients with mild to moderate COVID-19 were treated in the Fangcang Hospital According to the treatment, one patient was cured and discharged, while the other patient was sent to a higher-level hospital for further treatment.Diagnoses: Real-time reverse transcriptase–polymerase chain reaction amplification of the viral DNA for diagnosis of COVID-19 infection.Interventions: The patients received Chinese medicine and antiviral treatment in the Fangcang Hospital.Outcomes: At follow-up, both patients were cured after treatment and returned to normal life after 2 weeks of home isolation and a negative nucleic acid test.Lessons: The use of nucleic acid testing combined with chest CT examination can quickly diagnose patients with COVID-19 infection and evaluate their treatment in the Fangcang Hospital.Keywords: case report, COVID-19, CT, Fangcang Hospital

Background: Huangqi Guizhi Wuwu decoction (HQGZWW) exhibits good effects when administered to treat multiple sclerosis (MS) and its animal model, experimental autoimmune encephalomyelitis (EAE). Understanding the precise mechanism of this decoction is thus important. Based on the findings of our previous study, the aim of the present study was to understand the role of antigen-specific CD8+ T-cells on the pathogenesis of MS/EAE when HQGZWW is administered as treatment. Methods: Myelin oligodendrocyte glycoprotein (MOG) 35-55-induced mice were administered distilled water, prednisone, and high dose or low dose HQGZWW. After purified CD4+ and CD8+ T-cells were stimulated with the MOG35-55 peptide, proliferation and cytokine secretion assays were performed. To establish the adoptive transfer EAE model, naive mice were injected with MOG35-55 -CD8+ or CD4+ T-cells. Results: Significant improvements in EAE score and pathology were observed in the high dose HQGZWW and prednisone groups. Compared to the low dose HQGZWW and distilled water groups, lower antigen-specific responses, lower levels of interferon-gamma, and higher levels of interleukin (IL)-4 and IL-10 from CD8+ and CD4+ T cells were observed in the high dose HQGZWW and prednisone groups. Finally, the EAE score was observed to be similar between the high dose HQGZWW group and prednisone group; however, this finding was not observed in the low dose HQGZWW group. Conclusion: Our findings suggest that high dose HQGZWW has similar effects on cell proliferation, cytokine secretion, and EAE score to prednisone, while low dose HQGZWW does not have such effect. The protective role of HQGZWW against EAE might thus depend on the Th2 cytokine secretion profile induced by either MOG35-55 specific CD8+ or CD4+ T-cells.

The failure to treat and control the growth of metastases is the main cause of death in breast cancer (BC) patients. Compared to the traditional method of analyzing circulating tumor DNA (ctDNA), capturing intact circulating tumor cells (CTCs) allows us to more accurately characterize mutations and identify suitable targeted therapies. We used CellCollector to collect peripheral CTCs. Thirty metastatic breast cancer (MBC) patients were enrolled, and 17 were analyzed with next-generation sequencing (NGS) methods. Clinical characteristics were analyzed along with the CTCs enumeration and detection rates. Whole-genome amplification (WGA) was used to amplify the CTC genomic DNA of 127 genes. Patients younger than 45 years old, with brain metastasis, with three or more metastatic sites, or with HER2-positive had the highest number of CTCs collected. The CTCs detection rate was also correlated to the number of metastasis sites. Different metastasis sites such as the brain, viscus, bone, and soft tissue contained specific high-frequency gene mutations. AKT3, MYC, and NT5C2 mutations were only found in brain metastases. APC, BCL2L11, ESRP1, FLT3 mutations were only in the visceral metastases. KEAP1, KIT, MET were the specific mutation genes in patients with bone and soft tissue metastases. These findings provide evidence that we can detect gene mutation information for obtaining the biological characteristics by CTCs using CellCollector. Different metastasis sites contain specific high-frequency mutation genes, which provide guidance to the accurate gene therapy.

Background. Methylene blue is the most commonly used tracer for sentinel lymph node (SLN) biopsy (SLNB) in China. This study aimed to investigate the feasibility of clinical application of SLNB using methylene blue dye (MBD) for early breast cancer and the prognosis of patients with different SLN and non-SLN statuses. Methods. We retrospectively analyzed the clinicopathological data of patients with early breast cancer treated at the Peking University First Hospital between 2013 and 2018. We calculated the SLN identification rate (IR) in SLNB with MBD and the false-negative rate (FNR), and analyzed the prognosis of patients with different SLN and non-SLN statuses using Kaplan-Meier curves. Results. Between January 2013 and December 2018, 1603 patients with early breast cancer underwent SLNB with MBD. The SLN IR was 95.8% (1536/1603). Two SLNs (median) were detected per patient. There were significant differences in FNR between patients with SLN micrometastasis and macrometastasis (19.0% vs. 4.5%, χ2 = 12.771, P

Bilayer barium titanate (BaTiO3, BTO)/bismuth ferrite (BiFeO3, BFO) capacitive devices were fabricated and systematically analyzed from the aspects of thin-film material crystallography and electrical characterization. The tetragonal phase (T) of BTO with the reducing thickness (150 nm) was demonstrated through carefully adjusting the conditions of sputtering process and post-thermal treatments. The thickness dependence of polarization, energy density, permittivity, and leakage current was investigated in the BTO/BFO bilayer system. It showed that 150-nm BFO film is an optimal thickness, which led to the substantial increase in energy density up to 920 mJ/cm3 with the charge/discharge efficiency of 79.7% at 10 V. The permittivity of 150-nm BFO bilayer device was found to be 258, which is much higher than the single -layer BFO and other BTO/BFO devices with different BFO thicknesses. Leakage current could be reduced by three orders with the increasing thickness of BFO layer from 30 to 225 nm. In addition, the leakage current of BTO/BFO bilayer capacitors was 102 times lower than BFO single layer with the same total thickness. The result showed that the leakage current of BFO material could be significantly reduced in the bilayer system. The performance of BTO/BFO bilayer capacitors indicates that it is a promising technique for the implementation of nanoscale, lead-free, and nonelectrochemical thin-film energy storage-related applications.

Background This study aimed to explore the correlations between continuous positive airway pressure (CPAP) treatment-related self-efficacy and family support among patients with obstructive sleep apnoea (OSA) to provide a basis for improving patients' CPAP treatment compliance. Methods From May to Dec 2017, a cross-sectional study was conducted in the emergency wards, otorhinolaryngology wards, respiratory wards, and outpatient clinic of our hospital. A total of 112 patients with OSA treated with home ventilators were administered with the Self-efficacy Measure for Sleep Apnoea (SEMSA) and Perceived Social Support from Family (PSS-Fa) Scale. Results On the SEMSA, participants had a disease risk perception score of 2.61±0.31, an outcome expectation score of 2.44±0.17, and a self-efficacy score of 2.55±0.13. Mean total score on PSS-Fa was 10.15±2.73, with 10.7%, 45.5% and 43.8% of participants showing a low level, a medium level, and a high level of family support, respectively. Outcome expectation and self-efficacy were positively correlated with family support. Conclusions The self-efficacy and outcome expectation of patients with OSA are positively correlated with their level of family support.

Refracture of cemented vertebrae occurs commonly after vertebroplasty (VP) for osteoporotic vertebral compression fracture (OVCF). It can result in severe pain or neurological deficit, but no preventive medication is available. Owing to the bone anabolic benefits of teriparatide (TP), this study was aimed to compare the outcomes of cemented vertebrae with TP to those without TP. Patients who received VP for OVCF with at least 1 year follow-up were included. The anterior body height (ABH) and middle body height (MBH) and kyphotic angle (KA) were measured before VP and 1 week and at least 1 year after VP. Refracture was defined as a 15% decrease in ABH or MBH and 8° decrease in KA compared with those at postoperative 1 week. The clinical outcomes were evaluated. 35 VP procedures in 21 patients treated with TP (TP group), and, matched to that, 29 out of 133 patients treated with VP alone (VP group) were included. One year after VP, ABH and MBH were significantly greater, except KA, in the TP group (VP group vs. TP group: KA − 4.97° ± 12.1 vs. −2.85° ± 12.21°, p = 0.462, ABH 1.56 ± 0.48 cm vs. 1.84 ± 0.56 cm, p = 0.027, MBH 1.49 ± 0.39 cm vs. 1.73 ± 0.41 cm, p = 0.017). The refracture rates of KA, ABH, and MBH were significantly lower in the TP group (VP group vs. TP group: KA 42.11% vs.8.57%, p p p

Background Limited data are available regarding the current microbiological characteristics of bloodstream infections (BSIs) in intensive care units (ICUs) in China. This retrospective study aimed to determine the epidemiology of early- and late-onset BSIs in our ICU. Methods We retrospectively collected data about ICU patients with BSI from 2013 to 2017. The patients were divided into the early- and late-onset BSI groups according to if BSI occurred within or beyond 48 hours after ICU admission. Univariate and multivariate logistic regression analyses were used to assess the risk factors for infection with multidrug resistant organisms (MDROs). Results Of 5474 ICU admissions, 486 (8.9%) patients with BSIs and with 500 microorganisms were included in this study, 246 (50.6%) of whom had early-onset BSIs. Two hundred and seventy patients were infected with MDROs. The proportion of MDRO infections was significantly higher among patients with late-onset BSIs than among those with early-onset BSIs (57.9% vs. 41.5%, P = .017). The ICU mortality rate was significantly higher in the late-onset BSI group (44.6% vs. 33.8%, P = .014) and early and appropriate antimicrobial treatment significantly improved the survival rate among patients with BSI (P < .001). Conclusions MDROs affected more than half of patients with BSI in the ICU. Early appropriate empirical antimicrobial therapy could improve clinical outcome of patients with BSIs.

BackgroundThe key to modern drug discovery is to find, identify and prepare drug molecular targets. However, due to the influence of throughput, precision and cost, traditional experimental methods are difficult to be widely used to infer these potential Drug-Target Interactions (DTIs). Therefore, it is urgent to develop effective computational methods to validate the interaction between drugs and target.MethodsWe developed a deep learning-based model for DTIs prediction. The proteins evolutionary features are extracted via Position Specific Scoring Matrix (PSSM) and Legendre Moment (LM) and associated with drugs molecular substructure fingerprints to form feature vectors of drug-target pairs. Then we utilized the Sparse Principal Component Analysis (SPCA) to compress the features of drugs and proteins into a uniform vector space. Lastly, the deep long short-term memory (DeepLSTM) was constructed for carrying out prediction.ResultsA significant improvement in DTIs prediction performance can be observed on experimental results, with AUC of 0.9951, 0.9705, 0.9951, 0.9206, respectively, on four classes important drug-target datasets. Further experiments preliminary proves that the proposed characterization scheme has great advantage on feature expression and recognition. We also have shown that the proposed method can work well with small dataset.ConclusionThe results demonstration that the proposed approach has a great advantage over state-of-the-art drug-target predictor. To the best of our knowledge, this study first tests the potential of deep learning method with memory and Turing completeness in DTIs prediction.

Aim: This study investigated the molecular mechanism underlying the involvement of miR-885 in the signaling pathways of VDR. Results: Based on their rs739837 genotype, the subjects were divided into a case group and a control group. Logistic regression was carried out to study the impact of rs739837 genotypes on the severity of asthma, and it was found that the minor allele (T) of rs739837 significantly increased the severity of asthma. Using a luciferase assay, VDR was confirmed as a miR-885 target, with a negative regulatory relationship established between VDR and miR-885. Conclusion: The findings of this study demonstrated that VDR is an miR-885 target, while the presence of rs739837 minor allele (T) in miR-885 interferes with the interaction between miR-885 and VDR to affect the severity of asthma.

Background Despite speckle tracking echocardiography (STE) has emerged as a sensitive technique for identifying myocardial dysfunction, there are little data available on the appropriate timing to perform STE in the serial assessment after anthracycline administration. Moreover, further uncertainty is increased in the context of STE application in diffuse large B-cell lymphoma (DLBCL) research, as most recommendations are inferred by studies conducted primarily in breast cancer. Objective This study aimed to determine whether early measurement of strain parameters derived by STE could predict the development of cardiotoxicity. Methods Sixty-five patients were included in the final analysis. The patients were evaluated at baseline, after the third cycle and sixth-eighth cycle, and during follow-up. Global longitudinal strain (GLS) was analyzed using STE, and left ventricular ejection fraction (LVEF) was calculated by real time 3D echocardiography (RT3DE). Results There was a significant decrease in GLS after the third cycle of chemotherapy and remained decreased during subsequent follow-up, whereas LVEF decreased only at follow-up. A percentage reduction in GLS of 13.8% between baseline and the third cycle of chemotherapy was the best predictor of further LVEF reduction. Conclusion Earlier monitoring timing and more accurate assessment methods might be helpful in the prevention of irreversible heart failure.

Due to the circadian rhythm regulation of almost every biological process in the human body, physiological and biochemical conditions vary considerably over the course of a 24-h period. Thus, optimal drug delivery and therapy should be effectively controlled to achieve the desired therapeutic plasma concentrations and therapeutic drug responses at the required time according to chronopharmacological concepts, rather than continuous maintenance of constant drug concentrations for an extended time period. For many drugs, it is not always necessary to constantly deliver a drug into the human body under disease conditions due to rhythmic variations. Pulsatile drug delivery systems (PDDSs) have been receiving more attention in pharmaceutical development by providing a predetermined lag period, followed by a fast or rate-controlled drug release after application. PDDSs are characterized by a programmed drug release, which may release a drug at repeatable pulses to match the biological and clinical needs of a given disease therapy. This review article focuses on thermoresponsive gating membranes embedded with liquid crystals (LCs) for transdermal drug delivery using PDDS technology. In addition, the principal rationale and the advanced approaches for the use of PDDSs, the marketed products of chronotherapeutic DDSs with pulsatile function designed by various PDDS technologies, pulsatile drug delivery designed with thermoresponsive polymers, challenges and opportunities of transdermal drug delivery, and novel approaches of LC systems for drug delivery are reviewed and discussed. A brief overview of all academic research articles concerning single LC- or binary LC-embedded thermoresponsive membranes with a switchable on-off permeation function through topical application by an external temperature control, which may modulate the dosing interval and administration time according to the therapeutic needs of the human body, is also compiled and presented. In the near future, since thermal-based approaches have become a well-accepted method to enhance transdermal delivery of different water-soluble drugs and macromolecules, a combination of the thermal-assisted approach with thermoresponsive LCs membranes will have the potential to improve PDDS applications but still poses a great challenge.

Background: With the rise of precision medicine, hereditary cancer germline testing and tumor genetic testing have been increasingly used to inform the management of patients with cancer. Recent studies report that approximately 10% of patient’s tumors have clinically significant variants in genes known to predispose to a hereditary cancer syndrome. Here we report the concordance rate between tumor genetic testing and germline genetic testing in patients with breast cancer and review its impact on the patients’ management and implications for their relatives. Methods: In this study, we used de-identified data from 101 consecutive patients with breast cancer who underwent tumor genetic testing followed by germline testing with NGS-based hereditary cancer gene panels. Results: Tumor genetic testing results included likely pathogenic or pathogenic (LP/P) variants in BRCA2 (21%), BRCA1 (20%), TP53 (10%), CDH1 (7%), ATM (4.3%), PALB2,CHEK2, and PTEN (3.7% each), and PIK3CA (2.5%) among 22 other genes. In 33/101 cases (33%) the P/LP variant was also detected in the germline. Genes in which disease-causing variants were most frequently confirmed to be in the germline included: BRCA2 (36%), BRCA1(21%), PALB2 (12%), and CHEK2 (12%). Variants in ATM, FH, FANCA, and MSH6 were confirmed in the germline in Conclusions: A significant proportion (33%) of patients with clinically significant variants in tumors were identified to carry the same variant in the germline, uncovering a previously unknown risk of hereditary breast cancer disorder. Notably, some genes had a high probability of variants occurring in the germline, while others were primarily seen in tumors. Performing simultaneous germline and tumor testing may inform susceptibility to a hereditary cancer disorder, identify targets for precision therapy, early detection of secondary malignancies, and guide genetic counseling for relatives. Citation Format: Daniel E Pineda-Alvarez, Scott T Michalski, Meaghan Russell, Shan Yang, Ihn Young Song, Robert L Nussbaum, Edward D. Esplin. Breast cancer tumor sequencing coupled with germline genetic testing aids the identification of at-risk individuals for hereditary breast cancer disorders [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P2-09-08.

Dielectric properties of oxyfluorosilicate (OFS) glasses have been characterized using Terahertz (THz)-time domain spectroscopy in the sub-THz region as well as optical reflection measurement. OFS glass containing 20 mol% of Nb2O5, which is termed ZNbKLSNd glass, has the highest refractive index of 3.70 in the sub-THz region. The THz and optical refractive indices of various silicate oxide glasses, including OFS glasses, have been confirmed to be correlated by a unified relationship utilizing a parameter defined by the ratio of ionic to electronic polarizability. Additionally, the frequency dependence of the THz dielectric constant has been interpreted by a single oscillator model for all silicate oxide glasses including OFS glasses. On the basis of the present unified dielectric model, the very high refractive index of ZNbKLSNd glass has been attributed to the lowering of oscillator resonance wavelength originated from the incorporation of Nb2O5 intermediate network former.

This study compared the surgical outcomes of the 120-W Thulium laser (Vela™ XL) enucleation of the prostate and bipolar transurethral resection of the prostate (TURP) in terms of efficacy, safety, and improvements of quality of life (QoL) in patients with benign prostate hyperplasia (BPH). Records were obtained from January 2014 to September 2018 for selected patients with symptomatic BPH who underwent 120-W Thulium laser (Vela™XL) prostate enucleation and bipolar TURP in our institution. All the patients selected met the surgical criteria for TURP and had received medical treatment for at least 3 months. Patients were excluded if their ECOG performance status was >1, if they had active malignant disease, of if they had a history of prostate surgery or reconstruction surgery of the urinary system. Patients decided which treatment option would be performed. Both the procedures were conducted by a single surgeon. Clinical outcomes such as changes in the International Prostate Symptom Score (IPSS) score, urodynamic parameters, drug consumption, pain scores, and QoL were evaluated. The rate of urinary tract infection, recatheterization, additional analgesic requirement, return to the emergency department for treatment, and other surgical complications was analyzed and compared between the two cohorts. A total of 276 patients met the inclusion criteria. Among them, 141 patients received bipolar TURP, where as 135 decided to receive laser vaporesection. No significant difference was observed in age, PSA level, prostate volume, and comorbidities between the two cohorts. Pre-operative (pre-op) urodynamic parameters were also identical, except that the laser surgery group had a higher rate of admission with a urinary catheter (24.4% vs. 14.2%, p=0.044). The operating time was longer in the laser surgery group (79.3 minutes vs. 62.4 minutes, p

Water plays a critical role in dental tissues including enamel and dentin. The characterization of water structure analysis was primarily conducted by nuclear magnetic resonance. Raman spectroscopy is a powerful analytic technology with capability for structure analysis in materials. However, acquiring high wavenumber Raman signals from dental tissues was challenging due to either the fluorescence interference under laser illumination or reduced sensitivity of CCD detectors. In this study, we demonstrate a pilot research on high wavenumber Raman analysis in dental tissues using a customized Raman spectrometer based on an InGaAs detector. A signal located at 3570 cm(−1) is found dominating the O-H region Raman spectra of enamel but is barely detectable from dentin. The profiles of the high wavenumber region Raman spectra changes with the locations in enamel, as well as the polarization of the excitation laser beam. The results suggest that the size or crystallinity differences of hydroxyapatite crystals are the main cause of the spectral variation from dentin to enamel, and could be partially responsible for the variation among different locations in enamel.

Purpose. In this study, we aim to evaluate the prognostic role of serum uric acid and gamma-glutamyltransferase in advanced gastric cancer patients. Methods. A total of 180 patients pathologically diagnosed with advanced gastric cancer were included in this retrospective study. We used time-dependent receiver operating characteristic (ROC) curves to identify the optimal cut-off value of serum uric acid (UA) and gamma-glutamyltransferase (GGT). Survival analysis was performed using the Kaplan–Meier method and log-rank test, and multivariate Cox regression analyses were applied. A nomogram was formulated, and the calibration and discrimination of the nomogram were determined by calibration curve and concordance index (C-index). We validated the results using bootstrap resampling and a separate study on 60 patients collected from 2015 to 2017 using the same criteria in other medical center. Results. Both higher serum uric acid (>228 μmol/L) and higher gamma-glutamyltransferase (>14 U/L) had worse OS and PFS. Univariate analysis indicated that serum uric acid (UA) (p<0.001 and p<0.001) and gamma-glutamyltransferase (GGT) (p<0.001 and p=0.044) were significantly related to overall survival (OS) and progression-free survival (PFS), respectively. Multivariate analysis revealed serum uric acid (UA) and gamma-glutamyltransferase (GGT) were independent prognostic factors for OS (p=0.012, p=0.001). The optimal agreement between actual observation and nomogram prediction was shown by calibration curves. The C-indexes of the nomogram for predicting OS and PFS were 0.748 (95% CI: 0.70-0.79) and 0.728 (95% CI: 0.6741-0.7819), respectively. The results were confirmed in the validation cohort. Conclusion. We observed that both serum UA and GGT were poor prognostic factors in patients with advanced gastric cancer. And we also formulated and validated a nomogram which can predict individual survival for advanced gastric cancer patients.

Purpose To date, there has not been a large, systematic evaluation of the prevalence of germline risk variants in urothelial carcinoma (UC). Methods We evaluated the frequency of germline pathogenic and likely pathogenic variants in 1038 patients with high-risk UC who underwent targeted clinical germline testing. Case–control enrichment analysis was performed to screen for pathogenic variant enrichment in 17 DNA repair genes in 1038 UC patients relative to cancer-free individuals. Results Among 1038 patients with UC, the cumulative frequency of patients with pathogenic variants was 24%; 18.6% of patients harbored ≥1 actionable germline variant with preventive or therapeutic utility. MSH2 (34/969, 3.5%) and BRCA1/2 (38/867, 4.4%) germline variants had the highest frequency. Germline variants in DNA damage repair genes accounted for 78% of pathogenic germline variants. Compared to the cancer-free cohort, UC patients had significant variant enrichment in MSH2 (odds ratio [OR]: 15.4, 95% confidence interval [CI]: 7.1–32.7, p

Low-molecular-weight heparin (LMWH) has attracted increasing attention as a tumor treatment because of its board range of physiological functions. Over the past decade, diverse LMWH derivatives have increased the variety of antitumor strategies available, serving not only as anti-tumor agents, but also as drug delivery platforms. In this review, we introduce the basic strategy for structural modification of LMWH to attenuate its antitumor activity while reducing its risk of bleeding and immune responses, as well as highlighting current applications of LMWH and its derivatives in cancer therapy. We select representative drug delivery systems involving LMWH derivatives and discuss the construction principles and therapeutic effects associated with their use. We also analyze progress made in the development of antitumor combination therapies, in which LMWH has shown synergistic or combined effects with other treatment strategies.

In this study, we propose a biochemical sensor that features a photonic cavity integrated with graphene. The tunable hybrid plasmonic-photonic sensor can detect the molecular fingerprints of biochemicals with a small sample volume. The stacking sequence of the device is “ITO grating/graphene/TiO2/Au/Si substrate”, which composes a photonic band gap structure. A defect is created within the ITO gratings to form a resonant cavity. The plasmonic-photonic energy can be confined in the cavity to enhance the interaction between light and the analyte deposited in the cavity. The finite element simulation results indicated that the current sensor exhibits very high values in resonance shift and sensitivity. Moreover, the resonance spectrum with a broad resonance linewidth can identify the molecular vibration bands, which was exemplified by the fingerprint detections of protein and the chemical compound CBP. The sensor possesses an electrical tunability by including a graphene layer, which allowed us to tune the effective refractive index of the cavity to increase the sensor’s sensing performance. In addition, our device admits a phononic bandgap as well, which was exploited to sense the mechanical properties of two particular dried proteins based on the simplified elastic material model instead of using the more realistic viscoelastic model. The dual examinations of the optical and mechanical properties of analytes from a phoxonic sensor can improve the selectivity in analyte detections.

BackgroundChronic obstructive pulmonary disease (COPD) is one of the most common pulmonary diseases. There is evidence to suggest that dysbiosis of pulmonary microbiota participates in COPD development. Yifei Sanjie Formula (YS) is widely used to treat diseases in respiratory systems, yet its mechanisms are little known. MethodsIn the present study, the efficacy of YS was evaluated by analyzing its effects on the severity of pulmonary pathological damage, pulmonary function, pro-inflammation cytokines, the activation of NLRP3/caspase-1/IL-1β signaling pathway, and changes of lung microbiota. ResultsYS improved animal behaviors, prevented declines in pulmonary ventilatory function and lung injury in a rat model of COPD. Administration of YS significantly suppressed the release of proinflammatory cytokines and collagen deposition and downregulated NLRP3/caspase-1/IL-1β signaling in vivo. YS changed the relative abundance of specific pulmonary microbiota and modulated bacterial flora in the rat model. Conclusions These results suggest that the effects of YS involved lung microbes and anti-inflammatory mechanisms.

AIMS To evaluate whether a nurse-supervised rehabilitation programmes could improve respiratory functions and systematic inflammation in children with asthma. BACKGROUND Children with asthma always suffer from poor life quality, and physical training and pulmonary rehabilitation could be beneficial to asthma. DESIGN A retrospective, observational, single-centre cohort analysis. METHOD Baseline characteristics between the nurse-supervised rehabilitation programme and usual-care groups were matched by propensity-score matching (PSM) in a 1:1 ratio. We compared the lung function and inflammatory markers between groups. RESULTS Among 52 pairs of children, differences in lung function were improved in the nurse-supervised rehabilitation group compared with those in usual-care group, including the oxygen saturation, forced expiratory volume in 1 second, forced expiratory flow of 25%-75% and peak expiratory flow (all P

In recent years, large-scale data labeling has become a huge demand and extremely challenging task. More and more machine learning and deep learning methods have been proposed to generate a variety of semantic labels for data, and used to provide data labeling service as a data labeling agent. However, even todays machine learning and deep learning model may also output a wrong label. So it is necessary to optimize the quality of the collected labeling results. Generally, there are many labeling models in the data labeling market, and each label agent has a different degree of reliability. Service buyers also need to integrate many label answers from different labels agents to get the final correct label truth. In this article, we design a novel probabilistic graph based truth discovery algorithm to estimate the true label truth of the target task and the reliability of the label agent through the collected label answers. In particular, we build a novel expectation-maximization based iterative method for truth discovery to inference label truth and estimate label agent reliability. Finally, we conduct several experiments on a real-world dataset to testify the performance of our method.