Search

As the depth of oil and gas exploration increases, downhole electronics face the threat of high temperature failure. At present, passive cooling technology has the problem of short working time, while active cooling technology has low energy utilization. This paper presents a thermal management system of vapor compression with a combination of active and passive cooling. The system uses insulation materials to isolate the high-temperature environment, thermally conductive silicone grease to strengthen the heat exchange in the evaporator, and vapor compression refrigeration cycles to absorb internal heat.The coefficient of performance (COP), exergy destruction and exergy efficiency of octane, nonane and cyclohexane as refrigerants were examined, and the effects of different insulation materials on refrigeration performance were studied from both theoretical and numerical perspectives. The results showed that cyclohexane exhibited the best cooling capacity with a COP of 1.296 and a exergy efficiency of 49.21%. The thermal management system cooling performance is optimal when the insulation material is a vacuum flask, with an effective cooling capacity of 121.7W.

In steel surface inspection, an accurate steel surface defect identification method is needed to evaluate the impact of defects on structural performance and system maintenance. Traditionally, the recognition accuracy of methods based on handcrafted features is limited, but the system performance can be improved by feature fusion extracted by different methods. Therefore, this research uses the pre-trained convolutional neural network (CNN) combined with transfer learning to extract effective abstract features, and carries out adaptive weighting multimodal fusion of three the abstract features and handcrafted feature sets at the decision-making level, that is, proposes an adaptive weighting multimodal fusion classification system. The system uses handcrafted features as a supplement to abstract features, and accurately classifies steel surface defects in completely different feature representation spaces. Based on the NEU steel plate surface defect benchmark database, the classification results of feature sets before and after fusion are compared and analyzed. The experimental results show that the classification accuracy of the fusion system is improved by at least 3.4% compared with that before fusion, and the final accuracy rate is 99.0% , which proves the effectiveness of the proposed system.

Unusual, highly complex and valuable spirocyclic compounds were produced through domino radical addition, intramolecular cyclization and ring opening instead of usual migration to the difunctionalization products of olefins.

We successfully developed an unprecedented synthesis route to pyrido[1,2-a]indol-6(7H)-ones through a visible light-photocatalyzed formal (4 + 2) cycloaddition of indole-derived bromides and alkenes or alkynes in a microchannel reactor.

Defect depth inversion is generally considered as a challenge in magnetic flux leakage (MFL) testing and evaluation because of its strong non-linearity and low prediction accuracy. Current inversion models focus on the inversion accuracy of specific datasets, ignoring consideration of the generalisation ability of inversion models under different conditions. In order to solve such problems, this paper proposes a novel pipeline defect inversion method based on a Bayesian regularisation neural network (BRNN) model. This method consists of two parts. Firstly, three domain features are extracted and a Boruta algorithm is introduced to reduce the feature dimension and obtain the best feature subset. Secondly, in order to approximate the complex non-linear relationship between multi-dimensional features and defect depth, a back-propagation neural network (BPNN) model based on Levenberg-Marquardt optimisation and a Bayesian learning algorithm is constructed. The model can effectively find a close global minimum and overcome the phenomena of overfitting and overtraining. In order to evaluate the performance of the proposed defect inversion method, a comparative experiment is carried out with other well-known inversion algorithms. The results obtained confirm that the inversion method can improve the prediction accuracy of defect depth. More importantly, this method enhances the generalisation ability of defect inversion problems with different sample sets.

Head and neck squamous cell carcinoma(HNSCC) is a malignant epidermal tumor that seriously threatens human life and health. The main factors affecting the death of patients are local recurrence and lymph node metastasis. Astrin antibody is the basic component of the mitotic spindle required for normal chromosome separation and later development. There are few domestic studies on the mechanism of Astrin in HNSCC. Based on this, this article is studying Astrin in HNSCC. The expression and function of Astrin, and analyze its correlation with clinical pathological parameters and prognosis of patients, and further explore the relevant mechanisms involved in the progression of Astrin in HNSCC. In this experiment, the real-time fluorescent quantitative polymerase chain reaction (PCR) method was used to detect the expression of the Astrin antibody in HNSCC cell lines A and B. Secondly, this article will focus on high metastatic HNSCC cells B. Divided into five groups (blank control group, overexpression positive group, overexpression negative control group, expression suppression positive group, expression suppression negative control group), using real-time fluorescent quantitative PCR technology to detect the expression of Astrin in each group, and then speculate the mechanism of Astrin in HNSCC. Experiments have shown that Astrin is expressed in A and B cells, but its expression in B is significantly higher than its expression in A, and the difference is statistically significant (P0.001). This shows that the inhibition of Astrin expression has a significant anti-tumor effect and that Astrin plays an important role in the occurrence and development of tumors. It is expected to provide new ideas and reference basis for exploring new therapeutic strategies for targeted therapy of HNSCC.

Infectious agents have long been considered to play a role in the initiation of OFG; however, a direct causal relationship between microbes and OFG has not yet been established. In this study, a unique AP microbiota signature was identified in OFG patients.

Spectral reconstruction is an important task in the field of computer vision with growing attraction and scope of applications. This task aims to generate hyperspectral images (HSIs) with the same spatial resolution by improving the spectral resolution from RGB images. With the successful application of convolutional neural network, some researchers introduce this idea into the task of spectral reconstruction. In this paper, we propose a novel method with a cluster-based deep residual convolutional neural network (DRCNN) for spectral reconstruction from RGB images. To make full use of the local feature on the residual branches, we propose a hierarchical feature fusion (HFF) module to propagate the useful information of preceding blocks to the end of the module. In the training phase, we use RGB images that contain pixels belonging to the same cluster to train the specific DRCNN. In the testing phase, we apply the trained model to reconstruct the corresponding HSIs. As a postprocess, element-wise addition is utilized to generate the complete HSI. Extensive experiments show that the proposed method, compared with the state-of-the-art spectral reconstruction approaches, achieves superior reconstruction performance in three hyperspectral datasets: CAVE, Harvard, and ICVL.

Chronic cheilitis (CC) is a spectrum of inflammatory changes of unknown etiology that affect the vermilion of the lips. This study aimed to describe the epidemiology, clinical presentations and risk factors of CC. Patients with CC were recruited from the National Clinical Research Center for Oral Disease of China. A convenience sample of inhabitants who live in the same geographical region were recruited as the control group. The lip skin transepidermal water loss (TEWL) and capacitance of CC patients were compared with that of age- and gender-matched controls. Our results demonstrated that of the 109 patients with CC, 72 (66.1%; 95% CI: 57.0–75.1%) were female. The common clinical presentations of CC consisted of desquamation (n = 99; 90.8%), and/or chapping (n = 81; 74.3%), and/or pruritus (n = 64; 58.7%). Multivariable analysis showed that allergic dermatologic diseases (P P = 0.001; OR: 3.3; 95% CI: 1.5–7.5), and indoor/outdoor alternate working environment (P

As a food consumed worldwide, ginger is often sulfur-fumigated. Sulfur-fumigated ginger is harmful to health. However, traditional methods to detect sulfur-fumigated ginger are expensive and unpractical for the general public. In this paper, we present an efficient and convenient identification method based on image processing. First, rapid detection kits were employed to mark three levels of sulfur-fumigated gingers, and the RGB images of the gingers of each sulfur-fumigated level are collected. Second, the brightness and texture features were extracted from the images. Three machine learning methods, Support Vector Machine, Back Propagation Neural Network and Random Forest, were applied to establish prediction models. Third, the accuracy of each model was calculated and different weights were assigned for different models. Finally, models with different weights determined whether the ginger was sulfur-fumigated or non-sulfur-fumigated, and then the results were summarized to establish the final identification model. The experimental results show that the proposed method is robust. When the training set occupies 90%, the prediction accuracy is up to 100%. When the training set only occupies 10%, the accuracy remains high at 80%. Meanwhile, the proposed method is more competitive than other methods in terms of accuracy.

The chemokines play a crucial role in the recruitment of lymphocytes in oral lichen planus, and the activated epithelial cells are the main producers of the chemokines. However, the signals provoking chemokine secretion still remain to be elucidated.The global expression profile of chemokines in oral epithelial cell line induced by IFNγ was determined by microarray analysis. The gene and protein expression was validated in primary culture of oral epithelial cells, and the effects of IFNγ on regulating chemokine production were compared with that of TNFα and IL2. Moreover, the capability of primary culture of oral epithelial cells to attract peripheral lymphocytes in response to IFNγ was investigated in oral lichen planus patients, and the cell phenotype of the recruited lymphocytes was analyzed using flow cytometry.IFNγ triggered the expression of multiple chemokines in the oral epithelial cells. The expression pattern of the chemokines closely resembled that in the epithelial cell layer of oral lichen planus lesions. Compared with IL2 and TNFα, IFNγ demonstrated a distinct maximal effect on the chemokines secretion in primary culture of oral epithelial cells. The migration of peripheral lymphocytes toward the culture supernatant of IFNγ-treated primary culture of oral epithelial cells was significantly enhanced in the oral lichen planus group compared to that in the healthy control group.IFNγ plays an important role in the chemokine secretion and epidermotropic migration of lymphocytes in oral lichen planus.

Purpose A common surgical methods for the treatment of coronary heart disease is coronary artery bypass grafting ( CABG ). The most important concern is the graft patency. When restenosis or occlusion occurs on the graft, the blood supply to the downstream will be reduced, and serious myocardial ischemia will occur again. Hemodynamics are the key factors affecting the graft patency. If the hemodynamic results of the graft under different surgical methods can be known before coronary artery bypass grafting, it can help doctors to choose the optimal operation method. Methods In this study, the modeling and simulation method of multi-scaled model of coronary had been designed. The 3D model of the bypass surgery region is constructed by the 3D reconstruction of the patient's medical imaging and the virtual bypass surgery. The individuation lumped parameter model is constructed by the basic physiological information of the patients. Finally, the two models are connected by a special boundary surface coupling algorithm to construct a 0D-3D coupled multi-scaled model that can be used to calculate the hemodynamic environment. Through calculation, the flow waveform, wall shear stress(WSS), oscillating shear index(OSI) and other hemodynamic parameters in the graft under different bypass methods were compared, and the optimal operation method with the best hemodynamic environment was selected. Results The method was used to calculate two clinical cases, and the effectiveness of the method was proved by the comparison of calculated graft flow and real graft flow, and the comparison of hemodynamic environment and graft outcomes after one year. Conclusion This method can realize preoperative evaluation of the hemodynamic environment of the graft under different bypass methods, and then select the optimal operation method for the patients and improve the graft patency after operation.

N,P-doped carbon quantum dots (N,P-CQDs) are deemed as a promising candidate to environmentally friendly materials owing to the inexpensive, biocompatible nature. TiO2 nanowire is a prospective photocatalyst because of its efficient migration of photoexcited carriers in wastewater treatment. However, the N,P-CQDs-decorated TiO2 nanowire (N,P-CQDs/NW-TiO2) photocatalysts have been rarely reported. In this study, we build N,P-CQDs on the surface of TiO2 nanowires via a simple deposition process. Our investigations demonstrate that N,P-CQDs/NW-TiO2 has a great photocatalytic degradation for methyl blue (MB) under irradiation. The degradation rate of can reach 93.6% within 120 min under proper conditions. The excellent degradation performance of N,P-CQDs/NW-TiO2 is ascribed to the mesoporous structure and high separation rate of photoexcited carriers. In addition, the N,P-CQDs/NW-TiO2 have outstanding recycled photocatalytic capability. After being recycled four times, the N,P-CQDs/NW-TiO2 still maintain 59.9% photocatalytic activity. The fabricated nanosized photocatalyst can be widely utilized in the field of photocatalysis for wastewater treatment.

Transcription factor FOXP3 is a crucial regulator in the development and function of regulatory T cells (Treg) that are essential for immunological tolerance and homeostasis. Numerous studies have indicated the correlation of tumor infiltrating FOXP3+ Treg upregulation with poor prognostic parameters in thyroid cancer, including lymph node metastases, extrathyroidal extension, and multifocality. Most immune-checkpoint molecules are expressed in Treg. The blockage of such signals with checkpoint inhibitors has been approved for several solid tumors, but not yet for thyroid cancer. Thyroid abnormalities may be induced by checkpoint inhibitors. For example, hypothyroidism, thyrotoxicosis, painless thyroiditis, or even thyroid storm are more frequently associated with anti-PD-1 antibodies (pembrolizumab and nivolumab). Therefore, Targeting FOXP3+ Treg may have impacts on checkpoint molecules and the growth of thyroid cancer. Several factors may impact the role and stability of FOXP3, such as alternative RNA splicing, mutations, and post-translational modification. In addition, the role of FOXP3+ Treg in the tumor microenvironment is also affected by the complex regulatory network formed by FOXP3 and its transcriptional partners. Here we discussed how the expression and function of FOXP3 were regulated and how FOXP3 interacted with its targets in Treg, aiming to help the development of FOXP3 as a potential therapeutic target for thyroid cancer.

In recent years, China keeps working on restructuring the country’s multimodal transport and highly develops the high-speed rail (HSR) infrastructure to improve transport efficiency. As the economic engine of China, the Yangtze River Delta region keeps leading the HSR development and the transporting modal transformation within the whole country. The fast development of HSR on the one hand highly improves passengers’ travel efficiency and, on the other hand, releases the capacity of conventional rail infrastructures to support regional multimodal freight transport. This study applies a three-level AHP structure and constructs a comprehensive index to evaluate the development of a rail-based multimodal freight transport network including railway, rail-water, and rail-road. The comprehensive index contains 14 quantitative and 8 qualitative indexes, covering the rail-based infrastructures, multimodal transport capability, freight transport performance, and transport sustainability. The comprehensive index is then applied to analyze the rail-based multimodal freight transport for the Yangtze River Delta region. The operational data of 59 freight stations and more than 200 railway links of the Yangtze River Delta were recorded. About 172 valid questionnaires were collected to score the qualitative indexes, and all the quantitative indexes are scored based on the real-life freight data. The results reveal the impacts of HSR development on rail freight transportation and show that Zhejiang has led rail freight transportation while Shanghai mainly leads the waterway freight transportation. Meanwhile, Anhui performs very well on road-rail transportation and Jiangsu has made a great improvement on water-rail transportation.

Membrane-associated ring-CH-type finger (MARCH) proteins belong to the E3 ubiquitin ligase family, which regulates protein stability by increasing ubiquitination. Recent evidence has shown that some MARCH proteins play important roles in cancer development. However, the role of MARCH6 in tumorigenesis, including thyroid tumorigenesis, remains unknown. In this study, we determined that MARCH6 was upregulated in the majority of primary papillary thyroid cancers (PTCs) at both the mRNA and protein levels. Gain-of-function and loss-of-function studies demonstrated that MARCH6 suppressed apoptosis and promoted cell cycle progression, cell proliferation, growth, migration and tumorigenesis in thyroid cancer cells. Mechanistically, MARCH6 interacted with and downregulated DHX9. Knockdown of DHX9 enhanced the proliferative and migratory abilities of thyroid cancer cells. The inhibitory effect of MARCH6 knockdown on thyroid cancer cell growth and migration was also reversed by DHX9 silencing. In addition, MARCH6 activated the AKT/mTOR signaling pathway in a manner dependent on the downregulation of DHX9. Overall, MARCH6 functions as a potential oncogene in thyroid cancer by destabilizing DHX9 and activating AKT/mTOR signaling.

A green and efficient reaction route for the synthesis of pyrrolidin-2-ones via photoinduced organocatalyzed three-component cyclization of styrene, tertiary α-bromoalkyl esters and primary amines in a microchannel reactor under visible light conditions has been developed. Moreover, the overall process can be carried out under mild conditions without using a metal. In addition, a reasonable reaction mechanism was proposed based on control experiments.

Background: Racial variation exists in the incidence of orofacial granulomatosis (OFG). The epidemiology and clinical characteristics of OFG in Asian countries are poorly described. Objective: To describe the epidemiologic and clinical features of OFG in China from data collected on chronic odontogenic infection and studied in actual practice regarding the long-term outcome of OFG patients receiving different treatments. Methods: Data on demographics, medical history, chronic odontogenic infection, and the extent of disease were collected, and long-term outcomes after the end of treatments were evaluated. Results: Of the 165 OFG patients, 118 (71.5%; 95% CI 64.6%-78.5%) had a chronic odontogenic infection. There was a variety of difference between OFG with and without chronic odontogenic infection. Approximately 98.3% (95% confidence interval 94.8%-100%) of OFG patients with chronic odontogenic infection who received dental treatment showed a marked response, of whom 31 patients (53.4%; 95% confidence interval 40.2%-66.7%) had complete remission. Limitations: Endoscopic investigations were not performed for most of the patients, and more detailed data were not collected, which might have demonstrated additional systemic problems. Conclusions: OFG with chronic odontogenic infection is the major clinical pattern of OFG in China, which may be a subtype of OFG. Dental treatment should necessarily be the preferred first-line therapy for such patients.

Background Racial variation exists in the incidence of orofacial granulomatosis (OFG). The epidemiology and clinical characteristics of OFG in Asian countries are poorly described. Objective To describe the epidemiologic and clinical features of OFG in China from data collected on chronic odontogenic infection and studied in actual practice regarding the long-term outcome of OFG patients receiving different treatments. Methods Data on demographics, medical history, chronic odontogenic infection, and the extent of disease were collected, and long-term outcomes after the end of treatments were evaluated. Results Of the 165 OFG patients, 118 (71.5%; 95% CI 64.6%-78.5%) had a chronic odontogenic infection. There was a variety of difference between OFG with and without chronic odontogenic infection. Approximately 98.3% (95% confidence interval 94.8%-100%) of OFG patients with chronic odontogenic infection who received dental treatment showed a marked response, of whom 31 patients (53.4%; 95% confidence interval 40.2%-66.7%) had complete remission. Limitations Endoscopic investigations were not performed for most of the patients, and more detailed data were not collected, which might have demonstrated additional systemic problems. Conclusions OFG with chronic odontogenic infection is the major clinical pattern of OFG in China, which may be a subtype of OFG. Dental treatment should necessarily be the preferred first-line therapy for such patients.

Rotating Magnet Ranging System (RMRS) is one of the core guiding technologies for shale gas extraction, and its magnetic measurement data will inevitably be affected by the downhole magnetic objects in the target magnetic field. The casing and drill pipe, which are apt to be magnetized by the magnetic sub, are major influencing factors of the measurement results. In order to study the influence comprehensively, a dual horizontal well RMRS drilling model is established. Based on static magnetic dipole theory, the magnetic field distribution equation of the low‐rotational magnetic sub is deduced and characterized. Firstly, the casing and drill pipe were segmented into ring, layer, and block volume elements. Then according to the dynamic magnetic dipole field distribution equation, the magnetic field strength of the magnetic source at the volume element (equivalent magnetic dipole) and the sensor was calculated, as well as the magnetic strength of independent magnetization field and superposition magnetization field of casing and drill pipe at the sensor position. Finally, the effectiveness of the numerical method results was verified by outdoor experiments, and the shielding effect of the static magnetic shielding on the external magnetic field of casing was preliminarily analyzed. The research results indicate that the magnetic sub has a strong magnetization effect on the casing and drill pipe. The magnetization field of the casing is about 2.39 times stronger than that of the drill pipe, and they will seriously affect the sensor measurement data. When the well spacing is small, the magnetization field waveform will be distorted. With the increase of the well spacing d, the waveform gradually changes sinusoidally, the fluctuation period of the magnetization field also gradually becomes twice (d > 1.5 m) that of the magnetic source, and the peak value of the magnetization field decreases exponentially. A preliminary analysis of the magnetic shielding of casing revealed that the magnetic shielding would cause great attenuation to the strength of the magnetic source. The numerical simulation proposed in this paper provides a theoretical basis for the error analysis of RMRS, which is of great significance for measurement correction and accuracy improvement.

The non-coplanar cross-buried pipelines are a common way of pipeline wiring. In order to investigate the magnetic anomaly characteristics of the non-coplanar cross-buried pipelines and guide the site operation, the influences of a series of factors on the magnetic anomaly of the non-coplanar cross-buried pipelines are analyzed. Based on the principle of magnetic dipole construction, a forward model is established for the magnetic anomaly characteristics of the subsurface non-coplanar cross-buried pipelines. The basic characteristics of magnetic anomaly for the non-coplanar cross-buried pipelines are defined. The influences of geomagnetic parameters (geomagnetic intensity, geomagnetic inclination, and geomagnetic declination), pipeline parameters (thickness, magnetic susceptibility), and cross angle of pipelines on the characteristics of magnetic anomalies are analyzed. The results show that the shape of the total magnetic anomaly is mainly affected by the magnetic inclination, and the curve of magnetic anomaly at ± I site shows some symmetry. The amplitude is approximately linearly affected by the total geomagnetic field, magnetic declination, pipeline thickness, material magnetic susceptibility, and pipeline cross angle. There is a periodic change of the amplitude with the increase of geomagnetic inclination (−90°–>90°). The crest-trough distance is mainly affected by geomagnetic inclination, magnetic declination, thickness, magnetic susceptibility, and pipeline cross angle. A more accurate measurement can be achieved if the direction of the pipelines is roughly measured and then the number of measurement points is augmented near the intersection of pipelines and the measurement lines. Present work obtains the equivalent magnetic dipole units by segmenting pipelines. The magnetic anomaly characteristics of non-coplanar crossed iron pipelines are successfully simulated. The numerical results are in accordance with the experimental analysis.

The incidence of thyroid cancer was predominant in women, indicating that the sex hormone may have a role in thyroid cancer development. Generally, the sex hormone exerts its function by binding to the correspondent nuclear receptors. Therefore, aberrant of these receptors may be involved in the development of thyroid cancer. Estrogen receptor alpha (ERα) and beta (ERβ), two main estrogen receptors, have been reported to have an important role in the pathogenesis of thyroid cancer. When the ERα and ERβ genes undergo the alternative RNA splicing, some ERα and ERβ isoforms with incomplete functional domains may be formed. To date, several isoforms of ERα and ERβ have been identified. However, their expression and roles in thyroid cancer are far from clear. In this review, we summarized the expressions and roles of ERα and ERβ isoforms in thyroid cancer, aiming to provide the perspective of modulating the alternative RNA splicing of ERα and ERβ against thyroid cancer.

Objective: After coronary artery bypass grafting (CABG) surgery, the main causes of poor instant patency of left internal mammary arteries (LIMAs) are competitive flow and anastomotic stenosis, but how to determine the cause of LIMA non-patency without interfering with the native coronary artery is still a difficult problem to be solved urgently.Methods: In this study, a 0D-3D coupled multiscaled CABG model of anastomotic stenosis and competitive flow was constructed. After calculation, the flow waveform of the LIMA was extracted, and the waveform shape, common clinical parameters (average flow, PI, and DF), and graft flow FFT ratio results (F0/H1 and F0/H2) were analyzed.Results: For LIMA, these three common clinical parameters did not differ significantly between the anastomotic stenosis group and competitive flow group. However, the waveform shape and FFT ratio (especially F0/H2) of the competitive flow group were significantly different from those of the anastomotic stenosis group. When the cause was competitive flow, there was systolic backflow, and F0/H2 was too high (>14.89). When the cause was anastomotic stenosis, the waveform maintained a bimodal state and F0/H2 was in a normal state (about 1.17).Conclusion: When poor instant patency of the LIMA is found after CABG, the causes can be determined by graft flow waveform shape and F0/H2.

By multiple transcriptome datasets (TCGA, GSE59102, GSE25727, GSE27020 and GSE65858) and multi-omics (RNA-seq, SNP, CNV, DNA methylation) in-depth analysis, we found that cancer germline antigen (CGA) family/genes MAGEB2 is involved in the imitation, progression and prognosis in LC as well as correlated positively with lymphatic metastasis and negatively with DNA methylation. Then, in vitro experiment verified that MAGEB2 expression renders significant alteration in LC tissues and cells via immunohistochemical (IHC), qRT-PCR and western blot (WB), and up-regulation of MAGEB2 expression could facilitate the proliferation, migration and invasion of LC cells and vice versa. Subsequently, MAGEB2 knockdown suppressed tumor growth and lung metastasis in vivo animal experiment, while MAGEB2 overexpression promoted tumor growth and lung metastasis. Lastly, MAGEB2 is significantly associated with immune cell infiltration (CD8+ T cells particularly, IHC staining confirmed that as the protein expression of MAGEB2 increased, the protein level of CD8 (representing tumor-infiltrating CD8 + T cells) decreased in vitro), immunomodulators (knockdown or overexpression of MAGEB2 on LC cell lines can significantly affect the chemokine/cytokine secretion in vitro), and immunogenicity(TMB) in LC, which hints that MAGEB2 is tightly correlated with immune characteristics and might guide more effective immunotherapy strategies for LC patients.

Drilling engineering, as one of the main means and key links of oil and gas exploration and development, has the characteristics of intensive capital and technology, high investment and high risk. Thus, rational drilling design and optimization of the rate of penetration (ROP) have a very significant impact on the benefits of oil and gas exploration and development. This paper proposes a method for evaluating the accuracy of ROP prediction based on logistic regression model. Based on the existing drilling data and logging data in an oilfield in Xinjiang, these data are processed and statistically analyzed by MATLAB, and the classification prediction model of ROP is trained before drilling. The experimental results show that on the premise of sufficient drilling data and effective processing, compared with support vector regression, the use of logistic regression algorithm to predict ROP has higher accuracy, and its goodness of fit R2 range is within 0.80–0.86, which meets the actual drilling needs; the factors affecting the accuracy of the prediction of the ROP should include the role of lithology, and it has great influence on the selection of the characteristic data corresponding to different lithologies. During the drilling process, the different drilling parameters measured while drilling can be used to modify the real-time drilling rate prediction model. This method is expected to accurately predict the ROP before drilling, make a reasonable drilling plan and optimize the drilling parameters in real time in order to achieve the purpose of reducing drilling costs.

BackgroundOrofacial granulomatosis (OFG) is a granulomatous inflammation (GI) disease in maxillofacial region, the underlying cause of it remains unknown. Our previous study demonstrated that tooth apical periodontitis (AP) plays a significant role in the pathogenesis of OFG, we aimed here to characterize the AP bacterial signatures of OFG patients, and identify bacteria that may be important pathogens capable of inducing OFG.ResultsThe composition of AP microbiota in OFG cases and common AP controls was compared using 16S rRNA gene sequencing, the results showed a specific AP microbiota signature in OFG patients, characterized by domination of phyla Firmicutes and Proteobacteria , notably members of Streptococcus, Lactobacillus and Neisseria. To assess the pathogenicity of the potential pathogens in OFG, we isolated and successfully in vitro cultured Streptococcus, Lactobacillus casei, Neisseria subflava, Veillonella parvula and Actinomyces from OFG patients, and injected the clinical isolates into mice respectively. Ultimately, foot pad injection with N. subflava elicited granulomatous inflammation, and the virulence of N. subflava was verified based on Koch’s postulates.ConclusionsOur findings confirmed the role of bacteria in OFG, and first suggested that the component of the host normal microbiota, N. subflava is likely a pathogen for GI.

A green and efficient reaction route for the synthesis of pyrrolidin-2-ones via photoinduced organocatalyzed three-component cyclization of styrene, tertiary α-bromoalkyl esters and primary amines in a microchannel reactor under visible light conditions has been developed. Moreover, the overall process can be carried out under mild conditions without using a metal. In addition, a reasonable reaction mechanism was proposed based on control experiments.

It aims to improve the degree of visualization of building data, ensure the ability of intelligent detection, and effectively solve the problems encountered in building data processing. Convolutional neural network and augmented reality technology are adopted, and a building visualization model based on convolutional neural network and augmented reality is proposed. The performance of the proposed algorithm is further confirmed by performance verification on public datasets. It is found that the building target detection model based on convolutional neural network and augmented reality has obvious advantages in algorithm complexity and recognition accuracy. It is 25 percent more accurate than the latest model. The model can make full use of mobile computing resources, avoid network delay and dependence, and guarantee the real-time requirement of data processing. Moreover, the model can also well realize the augmented reality navigation and interaction effect of buildings in outdoor scenes. To sum up, this study provides a research idea for the identification, data processing, and intelligent detection of urban buildings.

Extraskeletal Ewing sarcoma is a rare event, and extraskeletal Ewing sarcoma of the thyroid gland is even rarer. It has non-specific clinical manifestation and difficulty in early diagnosis. The diagnosis mainly depends on histology and immunohistochemistry. It possesses the features of high malignancy, high rate of local recurrence, and distant metastasis. Currently, the aggressive multimodal treatment contains surgery, chemotherapy, and radiotherapy. This study presented a case of extraskeletal Ewing sarcoma arising in the thyroid gland of a 30-year-old woman, who presented with supraclavicular mass and sense of dysphagia obstruction in Department of Otolaryngology, Head and Neck Surgery, Second Xiangya Hospital, Central South University in 2018. Imaging studies demonstrated a cystic-solid mass in inferior of the left leaf of thyroid gland and in the posterior of the trachea and esophagus. The patient underwent localized tumor resection. The pathological diagnosis revealed that it was a small round cell tumor, and the immunohistochemistry results were considered to be extraskeletal Ewing sarcoma. Subsequently, the patient was given chemotherapy and local radiation therapy. There was no evidence of tumor recurrence or metastasis.骨外尤因肉瘤发病率很低，起源于甲状腺的骨外尤因肉瘤更少有报道。骨外尤因肉瘤的临床表现无特异性，早期诊断困难，诊断主要依靠病理组织学及免疫组织化学检查。此病恶性程度高，局部复发及远处转移率较高，目前主要采取手术、化学治疗及放射治疗等综合治疗方案。中南大学湘雅二医院耳鼻咽喉头颈外科2018年收治1例30岁以左锁骨上肿块及吞咽梗阻感为首发表现的女性患者，术前检查显示甲状腺左侧叶后下方、气管-食管后方见囊性和实性混合肿块影。入院后患者行肿块切除术，术后病理结果显示为小圆形细胞恶性肿瘤，结合免疫组织化学结果考虑为骨外尤因肉瘤。患者随后进行了化学治疗和放射治疗，随访期间未见明显肿瘤复发及转移表现。.

PurposeThe inhibition of estrogen receptor alpha (ERα) or the activation of ERβ can inhibit papillary thyroid cancer (PTC), but the precise mechanism is not known. We aimed to explore the role of ERα and ERβ on the production of endogenous peroxisome proliferator-activated receptor gamma (PPARγ) ligands in PTC.Methods2 PTC cell lines, 32 pairs of PTC tissues and matched normal thyroid tissues were used in this study. The levels of endogenous PPARγ ligands 15(S)-hydroxyeicosatetraenoic acid (15(S)-HETE), 13-S-hydroxyoctadecadienoic acid (13(S)-HODE), and15-deoxy-Δ12,14-prostaglandin J2 (PGJ2) were measured by ELISA.ResultsThe levels of PGJ2 and 15(S)-HETE were significantly reduced in PTC, but 13(S)-HODE was not changed. Activation of ERα or inhibition of ERβ significantly downregulated the production of PGJ2, 15(S)-HETE and 13(S)-HODE, whereas inhibition of ERα or activation of ERβ markedly upregulated the production of these three ligands. Application of endogenous PPARγ ligands inhibited growth, induced apoptosis of cancer cells, and promoted the efficacy of chemotherapy.ConclusionThe levels of endogenous PPARγ ligands PGJ2 and 15(S)-HETE are significantly decreased in PTC. The inhibition of ERα or activation of ERβ can inhibit PTC by stimulating the production of endogenous PPARγ ligands to induce apoptosis in cancer cells.

Rolling bearings are commonly used components in rotating machinery and play a vital role. When the bearing fails, if it cannot be found and repaired in time, it will cause great economic losses. Time-frequency analysis has been widely used for bearing fault signals under non-stationary operating conditions, but the existing methods have problems such as poor adaptability under multiple operating conditions. At the same time, the low time-frequency resolution and poor energy aggregation also affect the fault feature extraction effect. Aiming at these problems, this paper proposes a bearing fault detection method, which combines empirical mode decomposition and adaptive time-varying parameter short-time Fourier synchronous squeezing transform (AFSST), it solves the problem of adapting to signals under multiple operating conditions; A weighted least squares estimation time-varying parameter algorithm is proposed, which improves the calculation speed by 29% under the premise of ensuring the calculation accuracy; A time-varying index of energy effective compression ratio is proposed to accurately measure the time-varying energy aggregation of time-frequency analysis methods. Using short-time Fourier transform, continuous wavelet transform, wavelet synchrosqueezed transform, and AFSST to analyze the simulated FM signal, the results show that the AFSST transform has better time-frequency resolution and higher energy-efficient compression rate globally. Through the verification of the fault experimental data of rolling bearings, the diagnosis method proposed in this paper can accurately extract the bearing fault characteristics, has a good diagnosis ability in the multi-working operating environment, and has strong robustness and anti-noise interference.

N,P-doped carbon quantum dots (N,P-CQDs) are deemed as a promising candidate to environmentally friendly materials owing to the inexpensive, biocompatible nature. TiO

The protective effect of aspirin against myocardial hypertrophy (MH) was studied. Model rats of pressure overload MH were prepared by abdominal aortic coarctation. Rats were randomly divided into the sham group ( n = 9 ), MH model group ( n = 9 ), and MH+aspirin group ( n = 9 ), which was, respectively, divided into the 4-week group and 8-week group according to the time of intragastric administration. Arterial blood pressure and left ventricular mass index (LVMI) were measured. Changes in myocardial tissue structure were observed by HE staining, Masson staining, and reticular fiber staining. Cardiomyocyte apoptosis was detected by TUNEL assay. The levels of TNF-α, IL-10, TXA2, and PGI2 in myocardium and plasma were detected by ELISA. The arterial blood pressure in the MH model group was significantly higher than that in the 4- and 8-week sham groups, but that in the MH+aspirin group was significantly lower than that in the MH model group. At 4 and 8 weeks, the LVWI in the MH model group was significantly higher than that in the sham group, but it was significantly reduced after aspirin treatment. The myocardial cell hypertrophy was obvious, collagen fibers were proliferated, and reticular fibers were reduced in the 4- and 8-week MH model groups. Compared with the MH model groups, myocardial cells in the MH+aspirin groups were significantly reduced, the collagen fiber content was significantly reduced, and the reticular fiber content was increased. The apoptotic cardiomyocytes in the 4- and 8-week MH model groups were obviously increased. The apoptosis of myocardial cells in the MH+aspirin groups was obviously decreased. The TNF-α levels in the myocardial tissue of the 4- and 8-week MH model groups were significantly increased, while those of the MH+aspirin groups were significantly decreased. There was no significant change in the IL-10 level or PGI2 level at 4 weeks. At 8 weeks, the PGI2 level was significantly decreased in the MH model group while significantly increased in the MH+aspirin group. The TXA2 levels were significantly increased in the 4- and 8-week MH model groups and those in the 4- and 8-week MH+aspirin groups were significantly lower. Aspirin has an anti-inflammatory effect, can effectively reduce the expression of inflammatory factors, inhibit myocardial apoptosis, and has a certain protective effect against MH.

Papillary thyroid cancer can dedifferentiate into a much more aggressive form of thyroid cancer, namely into anaplastic thyroid cancer. Nrf2 is commonly activated in papillary thyroid cancer, whereas its role in anaplastic thyroid cancer has not been fully explored. In this study, we used two cell lines and an animal model to examine the function of Nrf2 in anaplastic thyroid cancer. The role of Nrf2 in anaplastic thyroid cancer was investigated by a series of functional studies in two anaplastic thyroid cancer cell lines, FRO and KAT-18, and further confirmed with an in vivo study. The impact of Nrf2 on the sensitivity of anaplastic thyroid cancer cells to lenvatinib was also investigated to evaluate its potential clinical implication. We found that the expression of Nrf2 was significantly higher in anaplastic thyroid cancer cell line cells than in papillary thyroid cancer cells or normal control cells. Knockdown of Nrf2 in anaplastic thyroid cancer cells inhibited their viability and clonogenicity, reduced their migration and invasion ability in vitro, and suppressed their tumorigenicity in vivo. Mechanistically, knockdown of Nrf2 decreased the expression of Notch1. Lastly, knockdown of Nrf2 increased the sensitivity of anaplastic thyroid cancer cells to lenvatinib. As knockdown of Nrf2 reduced the metastatic and invasive ability of anaplastic thyroid cancer cells by inhibiting the Notch 1 signaling pathway and increased the cancer cell sensitivity to lenvatinib, Nrf2 could be a promising therapeutic target for patients with anaplastic thyroid cancer.

Underground salt caverns have become one of the potential methods for carbon dioxide (CO2) storage due to its advantages including high storage capacity and easy construction. The wellbore and salt cavern heat transfer models for the CO2 injection process was developed and solved by the state space method. This method can not only solve the partial differential equation, but can also be used as the basic model of automatic control. The results indicate that the temperature of annulus and the salt cavern are significantly influenced by the injection rate during the injection process, while the brine temperature in tubing remains almost unchanged. When the injection process stops, the temperature of annulus and the salt cavern are dominated by the formation temperature. The temperature of tubing brine mainly changes after a few hours, causing crystals to separate out from the brine, which can also explain why the tubing is blocked when the gas injection stops.

In order to further develop and verify the carrying capability and the curving performance of the high-temperature superconducting (HTS) maglev system, a new HTS maglev vehicle named “KENYON” was successfully developed at Southwest Jiaotong University (SWJTU), Chengdu, China, in December 2019. The maglev vehicle (2.9 m in length, 1.1 m in width) with a net levitation height of 10 mm was designed for 8 seated passengers which can run along a 45-m-long racetrack-type evacuated tube with a 2-m-diameter circular cross section. Compared with the previous maglev vehicle “Super-Maglev”, the “KENYON” vehicle decreases dead weight by 10%. Meanwhile, the amount of HTS bulks used in the “KENYON” is the same as that of the previous vehicle. By the efficient usage of the limited space of the ring line, it has the design characteristics of 67% low floor area of the whole vehicle which is convenient for the whole 8 passengers seating, getting on and getting off. Moreover, the curve passing performance of the vehicle is also specially improved by adjusting the running gear. This development of the new prototype strongly demonstrates the HTS maglev has the great potential of load capacity and curving performance for practical application.

Background: Carotid body tumors (CBTs) are relatively uncommon neoplasms that rarely have malignant potential. However, malignant CBTs (MCBTs) are still associated with a poor prognosis and the treatment is still challenging clinically. Therefore, we evaluated the necessity of intraoperative level IIA lymph node dissection in patients with CBT. Methods: The clinical characteristics, intraoperative details, and pathological diagnosis of 126 CBT patients who had undergone surgery were retrospectively reviewed. The patients were divided into 2 groups according to whether level IIA lymph node dissection was performed. The prognosis was analyzed using Kaplan-Meier curves and Cox model multivariate survival analysis. Results: Among the 126 patients, 7 patients (10.3%) in the selective lymph node dissection (SLND) group (68 patients) were diagnosed with MCBTs with evidence of lymph node metastasis. Two patients (3.4%) in the lymph node nondissection (LNND) group (58 patients) were diagnosed with MCBTs later after the second operation because they could not be diagnosed as malignant initially because of the lack of lymph node pathology results although the pathology of the primary lesion showed features of malignancy. The SLND group had a significantly higher relapse-free survival rate than the LNND group (94.1% vs. 79.3%, p = 0.021). Patients with a confirmed diagnosis had a better prognosis than those with insufficient evidence of a malignancy due to the lack of lymph node information. Twenty-nine patients in the SLND group and 26 patients in the LNND group had postoperative nerve injuries, with no significant difference between the groups (p = 0.879). Conclusion: Intraoperative dissection of level IIA lymph nodes around the tumor in CBT patients can help improve the diagnosis and prognosis of MCBTs without causing additional cranial nerve injury.

An efficient oxygen electrode with excellent electrocatalytic activity and mass transportation efficiency is highly desired for the practical applications of Li-O2 batteries (LOBs). Here, we report a novel 3D free-standing film oxygen electrode based on N, P-codoped hollow carbon fiber embedded with MoP quantum dots (MoP QD@HCF). The MoP QD@HCF oxygen electrode delivers a higher discharge specific capacity of 6.75 mA h cm−2, a lower charge voltage of

An efficient bifunctional catalyst for both oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) is highly desired for the application of rechargeable metal air batteries. Herein, urchin-like CoP microspheres have been synthesized by a facile hydrothermal method with cetrimonium bromide as soft template. In alkaline solution, the as-prepared CoP catalyzes the ORR with an onset potential of −0.11 V (vs. Ag/AgCl) and a potential gap of 62 mV compared with commercial Pt/C catalyst. Meanwhile, the CoP catalyst exhibits better OER activities than the commercial RuO2 catalyst. Interestingly, when employed as cathodic catalyst for Li-air batteries, the battery shows good discharge capacity of 2994 mAh g−1 at 100 mA g−1, high round-trip efficiency of over 90%, excellent rate capability and cycle stability of sustaining 80 cycles without any capacity degradation at a high discharge current density of 500 mA g−1.

Herein, we first report a binder-free electrode with in situ synthesized MoP nanoflakes on the surface of carbon cloth and its application in nonaqueous Li–O2 batteries (LOBs). The assembled LOBs exhibit improved discharge/charge capability (achieving actual 4.15 mAh at a current of 0.1 mA and cycle stability, 400 cycles without capacity fading), which should be attributed to the superior electrocatalytic activity of MoP nanoflakes toward the formation/decomposition of Li2O2.