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Immunotherapy has changed the treatment landscape of advanced non-small cell lung cancer (NSCLC), showing great potential in the treatment of untreated and relapsed or refractory (R/R) patients. However, numerous issues that need further exploration remain with the wide application of immunotherapy. They include the exploration of biomarkers for efficacy prediction, the optimization of immunotherapy modalities, immune-related adverse effects, and the management of special populations. This review summarizes the progress of the research on immunotherapy for advanced NSCLC and discusses its challenges and future directions.

In the post-pandemic era, the resumption of visa-free group travel services between China and Russia has led to frequent population movements, posing a substantial risk of infectious disease transmission in the border regions of the two countries. Tuberculosis (TB) is currently the second leading cause of death from infectious diseases worldwide, and both China and Russia are high-TB-burden countries. This creates specific challenges for TB prevention and control in the border areas. There is an urgent need to deeply explore weaknesses in the TB epidemic prevention and control efforts along the China-Russia border. Strategies such as the development of intelligent border ports, enhancement of international exchange and cooperation, improvement of the public health collaborative governance capacity of both countries, optimization of health resource allocation in port areas, and strengthening the awareness of customs quarantine personnel and border residents regarding TB prevention and control, must be constructed. These strategies aim to comprehensively promote the joint construction of a human health and wellness community by China and neighboring countries.

[ Objective ] This study aims to identify the karyotypic characteristics and genetic relationships of 12 species of Oxalis from a cytologic view , in order to provide a reference for exploring chromosome diver- sity of Oxalis , identifying germplasm resources of Oxalis , and selecting parents for cross-breeding. [ Methods ] The chromosome morphology , number , and karyotype of 12 species of Oxalis plants were ob- served and analyzed by the root-tip compression method. [ Results ] ( 1 ) Chromosome numbers were repor- ted for the first time for 7 species. Of the 5 reported species , O . fabaefolia and O . pes - caprae had chro- mosome numbers consistent with previous reports , while the remaining 3 differed from previous reports , of which 2n=26 was the rarely reported chromosome number in the genus Oxalis . A total of 7 chromo- some bases were found , of which x=13 was rarely reported , and ploidy ranged from 2x to 6x. Actual chromosome sizes ranged from 0.27 μ m to 2.23 μ m. The location of the attachment point was the meta- centric ( m ) and submetacentric ( sm ) chromosomes. There were 4 karyotype types and the karyotype asymmetry coefficients ranged from 56.31% to 65.40%. ( 2 ) O . fabaefolia was the most evolved while O . compressa was the most primitive. ( 3 ) According to the similarity of chromosomal karyotypes , the 12 species of Oxalis can be divided into 4 groups. [ Conclusion ] The 12 species of Oxalis have extensive kary- otypic diversity. Karyotypic classification is not in complete agreement with the morphological classifica- tions of previous reports.

A versatile reactor system analysis code RESYS for advanced nuclear reactor was developed by using object-oriented language C++. Based on RESYS code, the model of thermionic nuclear reactor TOPAZ-Ⅱ developed in the former Soviet Union was established, and its start-up process was simulated. The established TOPAZ-Ⅱ reactor system model included reactor core thermal model, thermionic conversion system model and the radiator model. The current density model of cesium thermionic converter used model by Rasor. And the 6 groups of delayed neutron point reactor kinetic model was used to consider the influence of various structural components on reactivity. The point reactor equation with strong rigidity was solved using the Gear algorithm in the RESYS code. The reactivity feedback model of TOPAZ-Ⅱ reactor took into account the Doppler reactivity feedback of the fuel, the reactivity feedback of the electrodes, the reactivity feedback of the moderator and reflector, and the introduction of reactivity control drums. The steady state and start-up transient were simulated based on established thermal-hydraulic model and RESYS code. At steady state, the maximum temperature on the inner surface of the central thermionic fuel element is 2 291 K, the maximum temperature on the outer surface is 2 066.55 K, the maximum temperature on the emitter is 1 961 K, the maximum temperature difference between the electrodes is close to 1 200 K, the temperature at the coolant inlet is 743 K, and the temperature at the core outlet is 837 K. The comparison between the steady-state operating conditions calculated by the RESYS code and the TOPAZ-Ⅱ design values was carried out. The calculated steady-state electric power output is consistent with the calculation results of TITAM code. The calculation results verify the correctness of the developed RESYS code and the established TOPAZ-Ⅱ system model. During the startup process, the reactivity feedback of the moderator and reflection layer is positive feedback, which dominates all feedback effects. The overall reactivity feedback of the TOPAZ-Ⅱ reactor core is positive and does not have a self-stable negative feedback effect, which increases the difficulty of reactor control. During the start-up process of TFE, due to changes in the gas thermal conductivity of the electrode gap, the temperature of the fuel pellets and emitter rapidly increases. At this time, some of the thermal energy generated by fission is stored in the fuel pellets, causing a decrease in coolant temperature and the power of the radiation radiator.

Counter-flow engines are often used for aircraft slowing or separating. In order to study the interaction between the counter-flow jets and free stream at high altitudes, the rarefied flow driven by two counter-flow jets and hypersonic free stream was constructed. By the direct simulation Monte Carlo (DSMC) method, it is found that a large area of mutual interference will be formed under the condition of rarefied free stream, and there are serious unsteady flow phenomena in the interference area. According to preliminary analysis, the range and unsteady evolution of the interference area are closely related to the kinetic energy of free stream and the flow rate of counter-flow jets.

Pipeline transportation is the most economical means of transporting oil, natural gas, and other energy sources over a long distance. With the increasingly harsh service environment of pipeline transportation, the requirements of pipeline steel in terms of strength, hydrogen-induced fracture resistance, and corrosion resistance have increased. In areas such as plateaus or deep seas, excellent low-temperature toughness is important to ensure the safe transportation of pipeline steel. Drop weight tear testing is one of the most effective methods for measuring the low-temperature toughness of pipeline steel. The test involves large specimens with full wall thickness. Through the characterization of the ductile–brittle shear area and ligament width of the sample, the toughness and tear resistance of pipeline steel can be better reflected. However, the drop weight tear test is difficult, time-consuming, and laborious, and it consumes a large amount of experimental resources. In this work, a machine learning-based model for predicting the drop weight tear test-derived shear area was established according to production line datasets provided by steel mills and pipeline steel datasets collected from the literature. Different machine learning algorithms were tested using the two datasets. The best models were random forest models. Strategy I included only production line datasets, and the Pearson correlation coefficient (PCC), which is the performance index, predicted by the machine learning model was 0.64. Strategy II involved literature data and production line data, and the PCC predicted by the machine learning model was 0.92. The consideration of literature data effectively improved the prediction accuracy of the drop weight tear test shear area. Moreover, in strategy II, to avoid the overfitting of the machine learning model, a feature screening technique was adopted. Finally, a genetic programming-based symbolic regression approach was developed to establish a formula describing the relationship between the selected features and the target shear area data. The PCC of the precision of this formula was 0.83, which indicates that the formula can be used to estimate the drop weight tear test-derived parameters of pipeline steel. The machine learning technology provides a new method for optimizing and predicting the drop weight tear test-derived shear area of pipeline steel. Moreover, the combination of production line data and literature data remarkably improved the accuracy of the machine learning model, which also allows for the prediction of other material production line data via machine learning techniques.

By referring to the service network architecture and interoperation scheme of VoWi-Fi under 4G, the differences of the service network architecture and interoperation scheme of VoWi-Fi under 5G were studied and analyzed.Under the current situation that the network and terminal industry chain didn’t support the interoperability between standalone (SA) and Wi-Fi, a workaround scheme for interoperation in the transitional period was proposed, and the terminal and network side configuration suggestions were given to realize the interoperation between VoWi-Fi and VoLTE based on 5G network to ensure that users were unaware.The feasibility of this scheme was verified by practical tests.It provides reference for the actual deployment of VoWi-Fi.

In order to reveal the effects of Wolfiporia cocos lignocellulolytic enzymes and culture methods on its main enzymes, the main lignocellulolytic enzymes of W. cocos were determined in this study. The microscopic observation of the culture characteristics of the wild W. cocos strains was carried out, three pairs of primers were used for PCR amplification to carry out phylogenetic identification, and the dominant strain YX1 was screened by qualitative culture and finally the activities of cellulase, hemicellulase and ligninolytic enzymes under different conditions were determined by microplate reader. The results were as follows:（1）W. cocos had mycelium, fruiting body and sclerotium three morphological characteristics.（2）PCR obtained rDNA-ITS sequence of 1 652 bp, ribosomal large subunit sequence of 660 bp and translation elongation factor sequence of 545 bp, and submitted to NCBI，accession numbers were ON129554, ON129553, and ON155840, respectively.（3）The highest secretion of exo-β-glucanase(CBH), endo-β-glucanase(EG) and β-glucosidase(BGL) in the presence or absence of sawdust was 16-17 U·mL-1, 32-35 U·mL-1, 36-37 U·mL-1；The maximum secretion of xylanase, mannanase and α-glucosidase was 28-38 U·mL-1, 280-342 U·mL-1, 9-11 U·mL-1. The three ligninolytic enzymes manganese peroxidase (MnP), laccase, and lignin peroxidase (LiP) had weak enzymatic activities in four different cultures, the magnitude of enzymatic activities in lignocellulases were in the order of mannanase > xylanase > BGL > EG > CBH >α-glucosidase > LiP > MnP > laccase, and there were significant differences between cellulase and hemicellulase enzymatic activities (P

Objective To investigate the effect of the long non-coding RNA (lncRNA) small nucleolar RNA host gene 1 (SNHG1) on the migration, invasion, and epithelial-mesenchymal transition (EMT) of breast cancer cells and its mechanism. Methods Breast cancer tissue samples and adjacent normal tissue samples were collected from 20 patients with breast cancer, and normal human breast epithelial cell MCF-10A and breast cancer cell lines MCF-7, BT-549, MDA-MB-231, and MDA-MB-468 were cultured. RT-qPCR was used to measure the expression levels of SNHG1 and miR-641 in tissue samples and cells. BT-549 cells were divided into groups A to D and were transfected with si-NC (group A), si-SNHG1 (group B), si-SNHG1+anti-miR-641-NC (group C), and si-SNHG1+anti-miR-641 (group D), respectively. RT-qPCR was used to measure the expression levels of SNHG1 and miR-641 in cells; Transwell assay was used to observe cell invasion and migration abilities; Western blot was used to measure the expression levels of the EMT-related proteins E-cadherin, N-cadherin, and Vimentin. BT-549 cells were divided into groups E to H and were co-transfected with SNHG1-WT and miR-641 mimics (group E), SNHG1-WT and miR-NC (group F), SNHG1-MUT and miR-641 mimics (group G), and SNHG1-MUT and miR-NC (group H), respectively, and dual-luciferase reporter assay was used to determine the interaction between SNHG1 and miR-641. Results SNHG1 was highly expressed in breast cancer tissue (t=4.81,P0.05). Conclusion cSNHG1 is highly expressed in breast cancer tissue and cells, and downregulation of its expression can inhibit the migration, invasion, and EMT of breast cancer cells by targeting miR-641.

In the 21st century, with the rapid development of computing and sensing technology, autonomous driving has become a hot and important research topic. The vast market for bicycles has created numerous opportunities for driverless bikes. An unmanned bicycle robot has the characteristics of flexible movement and narrow body, thus it can be widely used in disaster area-rescue operations, entertainment performances, and transportation scenes. Therefore, several scholars have studied and focused on this type of bicycle. For the lateral self-balancing problem of bicycle robots, a new balance control method has been studied for a class of bicycle robots that are equipped with an angular momentum wheel. The kinematics constraint of the robot balance control is constructed based on the lateral balance condition of the bicycle robot, and the balance constraint is regarded as the control target. Based on the Udwadia–Kalaba (U–K) theory, a torque analytical model satisfying the lateral balance of the robot was established, and a balance constraint following the controller based on the model was designed. The findings show that the proposed control method can achieve the lateral balance of the bicycle robot and overcome the disturbance caused by the initial deviation of the lateral roll angle θ. Through the calculation of the balance torque model, the bicycle robot is actively balanced. Compared with the traditional PD feedback control method, the control method based on the model design has the characteristics and advantages of fast system response, low overshoot, and ease of optimization of the control torque. The proposed control method is simulated and confirmed using MATLAB, and lateral self-balancing control of the bicycle robot is achieved at the initial roll angular velocities of 0, 1, 2, and 5°·s−1. The simulation results confirm the stability and effectiveness of the control system. This study proposes a novel idea for the balance control of unmanned bicycle robots.

Autologous ozonized blood transfusion(AOBT) is a therapy of re-transfusion of 100-200 mL of autologous blood after shaking and agitation with appropriate amount of oxygen-ozone in vitro. The oxidation of blood through the strong oxidation of ozone can enhance the non-specific immune response of the body, regulate the internal environment and promote health. This therapy has been increasingly applied in clinical practice, while no unified standard for the operation process in terms of ozone concentration, treatment frequency and treatment course had been established. This operation process of AOBT is primarily explored in order to standardize the operation process and ensure its safety and efficacy.

In order to further clarify the groundwater pollution risk of the pharmaceutical and personal care products (PPCPs), also known as emerging organic contaminants, in land application of sludge, groundwater pollution risks of 29 PPCPs under sand and loam soil conditions are primarily evaluated using a mathematical model. The results show that ciprofloxacin, ofloxacin, oxytetracycline, norfloxacin and caffeine have risk index values higher than 1 under sand soil conditions, indicating high groundwater pollution risks. Except caffeine, all the other 4 PPCPs with high groundwater pollution risks are antibiotics, which need to be further monitored and controlled in groundwater. Under loam soil conditions, all the 29 PPCPs show low groundwater pollution risks. Sorption is the main factor affecting the groundwater pollution risk of PPCPs. Sensitivity analyses indicate that the half-life of PPCPs in soil, organic carbon partition coefficient, soil density, organic carbon content and depth of the zone with organic matter are the key parameters affecting the model output. Uncertainty analyses show that changes in the organic carbon partition coefficient and half-life of PPCPs in soil have great impact on groundwater pollution risks. Test and verification show that PPCPs with higher groundwater pollution risk index values had higher detection rates in groundwater, indicating that the evaluation results are reliable. Further researches on degradation products of PPCPs, their safe levels in groundwater, interactions between coexisting PPCPs and medium heterogeneity effects should be strengthened in order to evaluate the groundwater pollution risk of PPCPs with reasonable accuracy.

[Purpose/Significance] The spirit of Yuhuatai martyrs is one of the important components of the new democratic revolutionary spirit of the Communist Party of China (CPC). The primary documents about Yuhuatai martyrs is the significant source to record their spirit. Using text processing technologies, such as content annotation and feature construction to deeply excavate the content of the documents, which is not only conducive to carrying forward revolutionary culture and continuing the red spirit, but also beneficial to expanding the application objects of technology and promoting the improvement of text mining technology. [Method/Process] In this paper, the original documents related to Yuhuatai martyrs were used as the data source, which include 12,329 original records in 8 types of documents, including biographies of martyrs, letters, diaries, interrogation materials of the enemy and puppet governments, trial records, and oral history. Then the lightweight ontology of Yuhuatai martyrs was built, which was used as the feature description framework of Yuhuatai martyrs. Based on the domain ontology and trigger word features, relevant instances in the ontology were extracted from the documents of Yuhuatai martyrs, and the formal features of the multi-dimensional attributes of Yuhuatai martyrs were constructed and described. The categories and attributes of lightweight ontology described the Yuhuatai martyrs' group feature framework. Through the data analysis of the extracted ontology instance, the data analysis of Yuhuatai martyr group feature can be realized. [Results/Conclusions] Through the statistical analysis of the basic information, revolutionary activities and the relevant text content of the struggle in prison of Yuhuatai martyrs, this paper further revealed the group characteristics from the perspective of data, including: high education level, sacrifice at a young age, long-term struggle in the ruling center of the Kuomintang, adherence to faith, loyalty to CPC, full of family and country feelings of peace and order, and conscious practice of noble moral pursuit. By the application of lightweight ontology and other quantitative analysis methods in this paper, it is helpful to visualize the lofty ideals and beliefs of Yuhuatai martyrs, noble moral sentiments and the dauntless spirit of sacrifice for the people. This paper has a certain reference value for the presentation and dissemination of innovative Yuhuatai martyrs' spirit.

ObjectiveTo investigate the association between processed food pattern and the risk of depression during pregnancy and the role of inflammation-related diseases on the association. MethodsTotally 6 313 pregnant women at 18 – 27 weeks of gestation were recruited in clinics of 3 hospitals in Hefei city, Anhui province from March 2015 through June 2020. An interview was conducted at the enrollment and two follow-up surveys were carried out at 32 – 36 weeks of gestation and at the delivery. A self-designed questionnaire, Edinburgh Postnatal Depression Scale (EPDS)，and Food Frequency Questionnaire (FFQ) were used to collect information on demographics, frequency of food consumption, and diseases/depression. Exploratory factor analysis was adopted to discriminate dietary patterns and binary logistic regression models were used to analyze associations of processed food and inflammation-related diseases with depression risk in third trimester. Results Of all the pregnant women, 13.4% (n = 844) were assessed as having severe depression at the third trimester. The pregnant women with high scores ( ≥ 75th percentile) for processed diet pattern had an increased risk of gingival bleeding, oral ulcers, vaginitis and other inflammation-related diseases (all P < 0.050). The inflammation-related disease score was positively correlated with serum leukocyte count (r = 0.066, P < 0.001). The results of logistic regression analysis showed that (1) for the pregnant women with low scores (< 75th percentile) of processed diet pattern, those suffering from inflammation-related diseases were at a significantly increased risk of mild depression (odds ratio [OR] = 1.343, 95% confidence interval [95% CI]: 1.174 – 1.536) and severe depression (OR = 1.275, 95% CI: 1.062 – 1.531) in the third trimester of pregnancy compare with the pregnant women without the diseases; (2) the pregnant women with high processed diet pattern scores but without inflammation-related diseases were at an increased risk of mild depression in the third trimester (OR = 1.417, 95% CI: 1.156 – 1.736), while no significantly increased risk of severe depression was identified (P = 0.141); (3) and the pregnant women with both high processed diet pattern scores and inflammation-related diseases were at a significantly increased risk of mild depression (OR = 1.778, 95% CI: 1.490 – 2.123) and severe depression (OR = 2.209, 95% CI: 1.766 – 2.763). Mediation analysis revealed that inflammation-related disease exerted a mediation effect on the correlation between processed diet and depression in the third trimester and the mediation effect accounted for 7.54% of the total effect. Conclusion The pregnant women with both processed diet pattern and inflammation-related disease in the second trimester could have a significantly increased risk of depression in the third trimester and processed diet may increase depression risk through promoting the incidence of inflammation-related diseases.

High-precision extraction of river boundaries in Synthetic Aperture Radar (SAR) images is of great significance in monitoring rivers. In this paper, the detection of the health of the Yellow River after the rainstorm in 20 July, 2021 in Zhengzhou is the focus of this paper. The refined-Lee filtering concept and the filtering characteristics of the convolution operation are combined, and an optimized internal weight convolution kernel Refined-Lee Kernel is proposed according to the geometric characteristics of the river channel. A novel river extraction deep neural network model, the River-Net, is also proposed. To verify the effectiveness of the proposed model, this article utilized 20 m resolution Interferometric Wideswath (IW) image data obtained from the European Space Agency Sentinel-1 satellite before and after the 20 July rainstorm in Zhengzhou, employing the images before the rainstorm to train the model. The model, after training, was used to extract the Yellow River channel and analyze the rise of the river after the rainstorm. Experimental results show that the proposed model can extract river channels from SAR images more accurately than trendy semantic segmentation models. The model has important application value for flood disaster detection and evaluation.

The task execution process of UAV swarm presents the characteristics of distributed, multi-stage and confrontation. Persistent destruction events caused by intentional attacks occur from time to time. In order to ensure task execution, each flight formation in the swarm is required to be possessed with resilience. However, the existing resilience measurement methods are difficult to effectively describe the ability of UAV swarm to resist and recover from damage under long-term mission and persistent damage characteristics. Based on this, this paper intends to give a novel measurement and simulation evaluation method. Firstly, a swarm resilience equilibrium measurement method for joint reconnaissance mission is proposed. Through the description of mission process, the measurement of formation performance and mission demand are given, and the resilience equilibrium of swarm is defined. Then, based on the modeling framework, damage behavior and reconfiguration behavior model, an agent-based UAV swarm joint reconnaissance mission model is established. Afterwards, the resilience equilibrium measure is evaluated by simulation method. Finally, taking the joint reconnaissance mission of UAV swarm as an example, the case verification is carried out. The simulation results show that the proposed measurement and simulation evaluation method can provide support for the capability design of UAV swarm under continuous destruction, and ensure the reliable and stable operation of UAV swarm in mission.

Thin slab casting and direct rolling (TSCR) technology has experienced 30 years of development since the first production line was commissioned in 1989. Owing to consistent and successful exploration and innovation by engineers and researchers, rapid progress in TSCR technology has been witnessed. Under the background of carbon neutrality, the steel industry encounters tremendous pressure for low carbon emissions. As one of the representative near-net-shape steel manufacturing technologies, TSCR technology has attracted extensive attention. This article reviewed the development history and evolution of critical process equipment for the TSCR technology. According to the continuous extent of the manufacturing process, the TSCR technology can be classified into the following three generations, i.e., batch rolling, semiendless rolling, and endless rolling. With the improvement of the continuity of TSCR technology, the production line is greatly shortened, especially the third-generation technology, the endless strip production line. Meanwhile, the increase in continuity substantially increases productivity, production yield, and energy efficiency and expands the thinnest strip thickness down to 0.6 mm. Additionally, the specific characteristics of processing and physical metallurgy of TSCR technology were analyzed. Based on its characteristics of rapid solidification, heavy reduction per rolling pass, and uniform temperature distribution, TSCR technology was suggested to produce special steel, high strength steel, silicon steel, and thin gauge products. New advances on the development of representative products for TSCR technology, e.g., medium- and high-carbon steels, high-strength hot-rolled steels, and silicon steels, and their practical application status were discussed. Finally, this work envisaged the future development directions of TSCR technology and proposed that making the process more concise and continuous, developing product-oriented production lines, and coupling intelligent manufacturing with TSCR technology will be important development directions in the future.

In the scenarios of traffic diagnostic analysis and prediction in optical network based on deep learning, the work of traffic data collection and storage for optical link is limited due to security and other reasons. Aiming at the problem that the amount of traffic data is too small to support deep learning training, this paper proposes an optical network traffic data synthesis algorithm based on topology link recognition. The core idea is to combine the conditional generation model based on optical network topology and the data synthesis model based on optical network traffic in the framework of generative adversarial networks. The traffic data of the given optical link is synthesized in a self-supervised way. The simulation results show that the auto-correlation coefficients of the traffic data synthesized by the proposed algorithm is close to the real data, and the accuracy of the traffic prediction model based on fully connected neural network is more than 95%.

Objective: To analyze the clinical characteristics of autoimmune gastritis associated diseases, and review the related literatures so as to provide reference for clinical practice. Methods: Three cases of autoimmune gastritis were diagnosed by endoscopy and serological examination due to gastrointestinal symptoms accompanied with anemia, gastric neuroendocrine tumor or abnormal index of liver function respectively, and the correlation between autoimmune gastritis and associated diseases was explore. Results: Case 1 presented with " nausea accompanied by intermittent vomiting and anemia for 1 month", and serological examination indicated megaloblastic anemia postoperative pathology of gastric hyperplasia lesions showed local high-grade neoplasia tubular adenoma after admission. Case 2 presented with "repeated middle and upper abdominal discomfort for several months". Postoperative pathology of gastric hyperplasia lesions was neuroendocrine tumor (G1 stage) after admission to hospital. Case 3 presented with "abnormal index of liver function", and liver biopsy confirmed the diagnosis of primary biliary cholangitis after admission to hospital. Due to the thin mucosal layer of fundus and submucosal vessel penetration of gastric mucosa atrophy, chronic atrophic gastritis was observed in gastric pathology in all patients. Therefore, all serum tests showed positive results for endogenous factor antibody and parietal cell antibody, and all patients were diagnosed as autoimmune gastritis. Subsequent literature analysis suggested that autoimmune gastritis was associated with the development and progression of megaloblastic anemia, neuroendocrine tumor, primary biliary cholangitis and so on. Conclusions: Three cases reported were treated as megaloblastic anemia or gastric neuroendocrine tumor or abnormal index of liver function on first visit, and subsequently were diagnosed as having autoimmune gastritis. Attention should be paid to autoimmune gastritis associated diseases.

Recently, subsalt exploration in the Tarim Basin has been one of the most significant targets of the deep hydrocarbon exploration.The Lower Cambrian Xiaoerbulake Formation is the major reservoir in current exploration.However, the analysis of the detailed geochemical and paleoenvironmental characteristics are limited in Keping area in absence of studies in the interior of the basin.This paper focuses on the Well Shutan-1 in the Bachu Uplift of the northwestern Tarim Basin.Based on the analysis of petrology and the geochemical characteristics (major, trace, rare elements and carbon-oxygen isotope), depositional environment of the Lower Cambrian Xiaoerbulake Formation is explored.Our study indicates that the lower, middle and upper part of the Xiaoerbulake Formation in Well Shutan-1 comprise thick algal dolomite, mudstone interbedded with dolomitic limestone and fine to silty dolomite, respectively.The average value of Lan/Ybn is 1.09 in the Xiaoerbulake Formation, of which the lower and upper part show positive Eu anomaly.Silica cementation, silica fragment and dissolution can be seen in the thin section, indicative of hydrothermal influence.Redox-sensitive trace elements are enriched in the middle of the formation.V/Cr and Ni/Co range from 2 to 4.25 and 5 to 7.The grain size of the sediment is finer.These are indications of suboxic bottom-water condition.The RSTEs and their ratios are relatively low in the upper and lower Xiaoerbulake Formation.The grain size of sediment is coarser.These are indications of oxic bottom-water condition.The carbon isotope ranges from -1.3‰ to 2.7‰. It decreases firstly and then increase throughout the interval.Two positive and one negative isotope excursion are identified in the lower and middle part of the interval, respectively.Paleoenvironmental reconstructions indicate that paleo-salinity firstly increased and then decreased.Paleo-seawater temperature gradually increased.Dolomite reservoirs were well developed in the late stage due to moderate salinity, occurrence of algal dolomite along with later weathering and dissolution.The research results can provide a basis for oil and gas exploration in this area.

Creativity has been one of the focuses of educational research. The Remote Associates Test (RAT) is a valid measurement to evaluate the effect of creativity training. Because of its objective scoring, short completion time required, and relatively simple question preparation, RAT has been adopted in Chinese creativity research for almost 20 years. This study integrates the literature and is divided into four parts: development and comparison of different versions, the exploration of the problem-solving process, factors related to remote association, and effectiveness of different interventions. The results show that the Chinese version of RAT was developed in three levels: radical, character, and word. Behavioral and neuroscience research indicates that the problem-solving process must be dynamic and flexible, and that manipulating internal or external influences can improve associative ability. Suggestions for teaching practices include assessing students’ creativity with the RAT, creating a safe environment, training divergent and convergent thinking, and thinking outside the box. The present study provides a comprehensive framework for the development and application of the Chinese versions of the RAT, methods to evaluate students’ creativity, and proposes a scope for future research to examine creativity theory.

Lung cancer has the highest incidence rate and mortality in China, even in the world, and non-small cell lung cancer (NSCLC) accounts for about 85%. The growth and metastasis of tumor depend on the generation of blood vessels, and anti-angiogenic therapy is playing an increasingly important role, however, no significant improvement was observed in the underwent anti-angiogenic agents used for patients alone. In recent years, the application of immune checkpoint inhibitor (ICI) has significantly improved the prognosis of some lung cancer patients, however, the objective response rate of patients receiving ICI alone is low. While anti-angiogenic agents and ICI both regulate the tumor immune microenvironment and have a potential synergistic mechanism, showing a bright prospect in the combined application of anti-tumor therapy. In this review, we focused on the research and application of anti-angiogenic agents in combination with ICI in advanced non-small cell lung cancer.

Lung cancer is the leading cause of cancer death worldwide as well as in China. For many years, conventional oncologic treatments such as surgery, chemotherapy, and radiotherapy (RT) have dominated the field of non-small cell lung cancer (NSCLC). The recent introduction of immunotherapy in clinical practice, led to a paradigm shift in lung cancer as in many other solid tumors. Recent pre-clinical and clinical data have shown RT may also modify antitumor immune responses through induction of immunogenic cell death and reprogramming of the tumor microenvironment. This has led many to reexamine RT as a partner therapy to immuno-oncology treatments and investigate their potential synergy in an exponentially growing number of clinical trials. Clinical trials combining radiotherapy and immunotherapy are attracting major attention, experts were invited to discuss frontier and controversial academic topics: (1) Recent developments of clinical synergy between radiation and immune checkpoint inhibitors (ICIs) in the treatment of NSCLC; (2) Will immunotherapy and radiotherapy increase the toxicity risk for cancer patients; (3) How to cope the mixed responses/disassociated responses phenomenon in checkpoint inhibition therapy to NSCLC with local ablative therapy; (4) Combining radiotherapy and immunotherapy in the treatment of NSCLC brain metastases.

The efficacy of non-small cell lung cancer (NSCLC) has been obviously improved recent years, while the survival of small cell lung cancer (SCLC) patients remains inferior for limit treatment options. The incidence of SCLC accounts for 15% of the overall incidence of lung cancer, and it is characterized with high malignancy, rapid growth, early widespread metastasis, making it very difficult to treat. With the approval of immunotherapy for a variety of solid tumors including NSCLC, as a relatively immunogenic cancer species, relevant clinical researchs on SCLC are also underway and have made certain progress. More importantly, due to the existence of tumor heterogeneity, exploring relevant markers that can predict the efficacy of SCLC is essential for accurate therapy. This review describes the latest advances in SCLC immunotherapy and biomarkers related to the efficacy of immunotherapy.

Objective To investigate the mechanism of sulfhydrated Ras related protein 7a (Rab7a) in HepG2.2.15 cells and its effect on hepatitis B virus (HBV) replication. Methods The sulfhydrated Rab7a and sulfhydrated sites of Rab7a were verified by biotin switch method. The effect of the sulfhydrated Rab7a on the level of HBV replication markers was detected by enzyme-linked immunosorbent assay, RT-qPCR and Western blot. Results In HepG2.2.15 cells, H2S enhanced the sulfhydration level of endogenous Rab7a (P＜0.01). NaHS (H2S rapid release donor) enhanced the expression of sulfhydration of exogenous Rab7a, but the mutation of sulfhydration site was not affected by NaHS (P＜0.01). In HepG2.2.15 cells, H2S enhanced the sulfhydrylation level of endogenous and exogenous Rab7a; the sulfhydrylated Rab7a inhibited the expression of HBsAg, HBeAg and HBV-DNA in supernatant, as well as HBV-cccDNA, 3.5RNA, total RNA and HBcAg protein in HepG2.2.15 cells (P＜0.05). Conclusions Sulfhydrated Rab7a inhibites the replication of HBV in HBV positive cell line HepG2.2.15.

Using field geological survey, drilling and seismic data, combined with the study of regional tectonic evolution and structural deformation, as well as lithological and sedimentary analysis, we reconstructed the basin filling process and paleo-geography of north Tarim Basin in Early Cambrian, aiming to analyze the factors controlling the distribution and spatial architecture of the subsalt reservoir and source units and to define the favorable exploration direction. The Late Sinian tectonic activities in the northern Tarim Basin were characterized by different patterns in different areas, which controlled the sedimentary pattern in the Early Cambrian. The boundary faults of Nanhuaian rift basin in the south slope of Tabei uplift and the north slope of Tazhong uplift became reactivated in the Early Cambrian, forming two NEE and EW striking subsidence centers and depocenters, where the predicted thickness of the Yurtusi Formation could reach 250 meters. In the Xiaoerbulake period, the weak rimmed platform was developed in the hanging wall of syndepositional fault. Whereas the Nanhuaian rift system in the Tadong and Manxi areas were uplifted and destroyed in the Late Sinian, and appeared as gently slope transiting toward the subsidence center in the Early Cambrian. The former had the sedimentary features of hybrid facies platform and the latter had the sedimentary features of ramp platform. The black shale of the Yurtus Formation in the footwall of syndepositional fault and the reef bank of Xiaoerbulake Formation platform margin in the hanging wall in Early Cambrian constitute a predicable source-reservoir combination. The activity intensity of syndepositional fault controlled the thickness of black shale and the scale of the reef bank. It is suggested carrying out high accuracy seismic exploration to determine the location of Early Cambrian syndepositional faults, on this basis, to search the reef bank of Xiaoerbulake Formation along the faults westward, and then drill risk exploration wells at sites where traps are shallow in buried depth. Key words: Early Cambrian, syndepositional structure, bedded chert, paleogeography, subsalt exploration, Lower Cambrian Yurtusi Formation, Tarim Basin, prototype basin

Based on outcrops of the whole basin, drilling and seismic data, this paper makes a systematic analysis of Neoproterozoic basin stratigraphic distribution and tectonic evolution characteristics in Tarim. Under the control of the aggregation and breakup of Rodinia supercontinent, the extensional sedimentary basin formed with North-South differences in the Neoproterozoic, separated by the middle ancient land. There is a sedimentary basin in the north, east-west banded, with two thickness centers, Aksu region in northwest and Manjiaer-Kuruketage region in northeast and maximum thickness about 2 500−3 500 m. There are two sedimentary basins in the south, north-east banded, with two thickness centers, Yecheng and Hetian with maximum thickness about 1 500−2 000 m. The evolution of the basin can be divided into two stages, rift in Nanhuan (Cryogenian) and depression in Sinian (Ediacaran), the latter stage deposits larger range but with thinner thickness of strata. Its main rock types contain volcanic rock, clastic rock, moraine rock and carbonate rock. The distribution of source rock during Early Cambrian period is mainly controlled by the development characteristics of the Neoproterozoic sedimentary basin. Key words: Tarim basin, Neoproterozoic, Nanhua, Sinian, Early Cambrian, source rock

For further study of the numerous nice properties of topological indices in physical and chemical fields, it is worth considering the relation between a degree-based index and a distance-based index. With the fact that diameter is an invariant based on distance, the relations between atom-bond connectivity index, diameter in trees and unicyclic graphs are studied. Based on relative lemma, the relation between atom-bond connectivity index and diameter in tree and unicyclic graphs is investigated, then the sharp lower bounds of the difference of index and diameter are given.

The operators are becoming enthusiastic about LTE MBMS services with more and more LTE network are built. LTE broadcast services are best fit for the need of multimedia services, especially the mobile video services with the benefit of the broadcast technology developed by 3GPP. The LTE MBMS service mode was introduced firstly, then overall system architecture, functional components and protocols were described, the key issues for eMBMS deployment were analyzed and discussed, the conclusion was provided briefly.

The cloud computing is surging and its applications have penetrated in all sectors, including the telecommunications industry. As unified core control of the future convergence of fixed and mobile networks, the importance of IMS network is becoming more prominent. The study on IMS cloud has been just started. The driving force of IMS cloud was introduced firstly, then described the IMS cloud from the aspects of concept, position in the layered cloud reference model and deployment model were described, the overall IMS cloud architecture and strategies were proposed, finally the changes it bring to the operators were briefly analyzed.

Service composition was the core problem of service computing,the validity and reliability of service composition had become the premise of service execution.A method was presented which utilizes the finite state machine (FSM)to model the business process’s state transitions,and described the required properties with Alloy language.Then,Alloy model was used to formalize the service FSM and the required properties of the system.Finally,Alloy Analyzer was used to verify the model that whether the required properties were satisfied.It is shown that the method of Alloy-based verification of the service composition is of good feasibility.

In order to cope with the interdependence and interrelationship between evaluation criteria in effectiveness evaluation index system,and to eliminate the subjectivity of expert’s preference in the evaluation process,making use of big simulation data,a method of building index system based on big simulation data of supernetting characteristic parameter and ANP was proposed.Then,by taking a weapon SoS simulation scenario as example,a process of building networked evaluation index system was proposed and the corresponding networked index system was built.Simultaneously,the correlation between criteria was deeply mined.The example analysis verifies the reasonability and effectiveness of proposed method for building evaluation index system.It provides reliable theoretical basis for weapon SoS effectiveness evaluation.

Yexiangyou 744 was a new variety of three-line hybrid rice bred with Yexiang A and Fuhui 744 which was cultivated by the Rice Research Institute of Fujian Academy of Agricultural Sciences, Guangxi Lvhai Seed Industry Co., Ltd., and Fujian Hefeng Seed Industry Co., Ltd. It was released by Fujian Crop Variety Approval Committee in 2020. In 2019, Youxi County introduced Yexiangyou 744 to Lianyun Village for the trial planting with simple ratio. In 2020 and 2021, Yexiangyou 744 was arranged for the green and efficient demonstration planting as midseason rice in the union terrace of Youxi County, which was characterized by neat population, moderate plant type and height, strong tillering ability, good color changing in the late stage, high seed setting rate and excellent rice quality. On this basis, the main characteristics and cultivation techniques of Yexiangyou 744 for the green and efficient planting in the midseason rice area of Youxi County were summarized, thus providing reference for the cultivation promotion in the mountains of central Fujian. [ABSTRACT FROM AUTHOR]

The Luancheng Agro-Ecosystem Experimental Station, the Chinese Academy of Sciences, is located in the piedmont plain area of North China Plain and the middle section of the Taihang Mountain alluvial plain. It is a typical representative of the high-yield agricultural eco-system in the groundwater irrigation area. Due to the large-scale and high-intensity agricultural production in recent decades, the regional groundwater has been seriously over exploited, and the risk of groundwater pollution has increased. However, the surface agro-ecosystem and aquifer are separated by thick vadose zones, hence the mechanism of the impact of surface agricultural activities on the quantity and quality of groundwater is still unclear. The in-situ monitoring throughout the entire vadose zone is the only method to reveal the mechanism of this process. Therefore, the establishment of a large-scale critical zone observatory is the most important requisite for conducting research on the relationship between agriculture and groundwater. With the support of the cornerstone research infrastructure project for the field station network of the Chinese Academy of Sciences, Luancheng Station began to construct the "Water and Solute Cycle Observation Platform in Groundwater-Soil-Crop System" in 2016, and the construction was completed in November 2020. An observatory caisson with a depth of 48 m and an inner diameter of 2.8 m has been built. The platform was officially named 'Luancheng Critical Zone Observatory' (LC-CZO). LC-CZO can measure the key variables such as soil water content, matric potential, soil temperature, and solute concentration in the root zone-deep vadose zone-saturated zone. The monitoring results enable the study on the patterns of the transport and transformation of water, solutes and pollutants in the thick vadose zone reveal the hydrological process of the saturated-unsaturated transition zone and its relationship with groundwater replenishment, explain the migration and transformation of nitrogen applied in farmland and its impact on groundwater quality, and provide experimental platform support for exploring the impact mechanism of land surface process on the groundwater quantity and quality. [ABSTRACT FROM AUTHOR]

Lung cancer is the leading cause of cancer death worldwide as well as in China. For many years, conventional oncologic treatments such as surgery, chemotherapy, and radiotherapy (RT) have dominated the field of non-small cell lung cancer (NSCLC). The recent introduction of immunotherapy in clinical practice, led to a paradigm shift in lung cancer as in many other solid tumors. Recent pre-clinical and clinical data have shown RT may also modify antitumor immune responses through induction of immunogenic cell death and reprogramming of the tumor microenvironment. This has led many to reexamine RT as a partner therapy to immuno-oncology treatments and investigate their potential synergy in an exponentially growing number of clinical trials. Clinical trials combining radiotherapy and immunotherapy are attracting major attention, experts were invited to discuss frontier and controversial academic topics: (1) Recent developments of clinical synergy between radiation and immune checkpoint inhibitors (ICIs) in the treatment of NSCLC; (2) Will immunotherapy and radiotherapy increase the toxicity risk for cancer patients; (3) How to cope the mixed responses/disassociated responses phenomenon in checkpoint inhibition therapy to NSCLC with local ablative therapy; (4) Combining radiotherapy and immunotherapy in the treatment of NSCLC brain metastases. [ABSTRACT FROM AUTHOR]

Protecting human rights through establishing the foundation of rule of law and pursuing human rights within the legal framework are the dual connotations in Hu Shih's discourse on human rights. We need to investigate his discourses and actions in the two complicated cases of "debate on human rights" and "deviation from China League for Civil Rights" through the methodology of historical context to fully interpret his ideas. As a liberalist, Hu Shih's belief was in liberty, but in the historical context of domestic strife and foreign aggression, order became a focus of his attention. Therefore, Hu Shih's discourse on human rights features both liberty and order. This is inappropriate in his times of decaying politics, but is useful as reference for the government and the public in contemporary China that has basic orders in politics while going through complex social transition. [ABSTRACT FROM AUTHOR]

The public memory of history is shaped by the social framework. Mass media is one important mechanism to construct the public memory. Through a combination of induction and interpretation, this article investigates the "Gou Chen" column of the China Youth Daily, presents its efforts and dilemma in confronting fracturing and covering and in repairing and completing the public memory of history. Based on the case study, this paper argues that the space of media's construction of the public memory of history is defined by the present country-media relationship and the quality of the construction is determined by the pressman's historical literacy. [ABSTRACT FROM AUTHOR]

Studies on Yen Fuh's view of translation often focus on his xin, da, ya. This paper, however, intends to diverge from this line of discussion. The author sees Yen's translation, statement, and interpretation (hermeneutic) as interrelated speech acts and examines, from the perspective of rhetoric, Yen's statements on and practices in translation-rhetoric that are dispersed in various texts. This study first investigates the discourse context within which Yen puts forth his translation-rhetoric statements and argues that, apart from the influence on traditional Chinese Confucian and Taoist views, these statements also reflect Western Enlightenment thinking on reason and sentiment. Secondly, the relationship between name and essence, or word and reality, is one of the major concerns for Enlightenment thinkers, and dialectic of this sort is often seen in Yen's translation-rhetoric statements and practices. This paper then explores the relationship between logos and Yen's translation-rhetoric views, and how he, using the experimental method of the Age of Enlightenment, endeavors to bring about the convergence of the West and the Chinese. Through his "expedient" translation operations and "calculated" arrangement of words, Yen's translation, statement, and interpretation also converge into a larger discourse whole. [ABSTRACT FROM AUTHOR]

The article reports on the veterinary study of Yang Zi-jun and colleagues which determined the influence of zinc (Zn) and copper (Cu) to the immunity function on molybdenum (Mo) poisoned sheep. It states that the blood samples from poisoned sheep were collected regularly to determine the percentage of TB lymphocyte and fibrinoplastin levels. The results indicate that zinc and copper had high synergic effect in protecting from Mo poisoning.

Objective: To observe the efficacy of "Tongdu Tiaoshen" (dredging Governor Vessel and regula-ting mind,needling on the cognitive function of patients with sepsis associated encephalopathy (SAE)., Methods: A total of 64 patients with SAE were enrolled in the present study, and randomly and equally divided into a control group and a treatment group. Patients in the control group received conventional medicines and conventional needling treatment. The patients of the treatment group received conventional medicines and "Tongdu Tiaoshen" needling treatment. The treatment was conducted once daily for 10 days. The Montreal Cognitive Assessment (MoCA) scale was used to assess the therapeutic effect after the treatment. Serum interleukin-6 (IL-6) was detected by radioimmunoassay, serum C-reactive protein (CRP) was detected by immuno-scattering method, and arterial blood lactic acid (Lac) content was detected by blood gas analyzer., Results: The effective rate in the treatment group was obviously higher than that in the control group ( P < 0.01). After the treatment, the MoCA scores were considerably increased in both groups compared with their own pre-treatment ( P < 0.01), and the MoCA scores in the treatment group were obviously higher than those of the control group in the visual space and executive function, attention and computational power, language, abstraction and delayed recall dimensions ( P < 0.01). The contents of IL-6, CRP and Lac in both groups were significantly decreased after the treatment relevant to those of their own pre-treatment ( P < 0.01), and were obviously lower in the treatment group than those in the control group ( P < 0.01)., Conclusion: "Tongdu Tiaoshen" needling can significantly improve the cognitive function of SAE patients, which may be associated with its effect in reducing inflammatory reaction of sepsis.

Objective: To investigate the factors related to severe acute pancreatitis (SAP) with intestine functional disturbance (IFD) and to establish the multiple predictor models of SAP with IFD., Methods: Clinical data of consecutive SAP patients admitted to department of gastroenterology of Beijing Shijitan Hospital, Capital Medical University from January 2015 to March 2019 were retrospectively collected and analyzed. According to the occurrence of IFD at 48 hours after onset, the patients were divided into IFD group and control group. The clinical indicators within 4 hours after admission were compared between the two groups, and the independent predictive factors for SAP with IFD were screened by single factor analysis and multiple classified Logistic regression analysis. The unweighted predictive score (unwScore) and weighted predictive score (wScore) models were constructed by combining the independent predictors. The receiver operating characteristic (ROC) curves of SAP patients with IFD were plotted by independent predictive factors and predictive models, and the clinical predictive effect of each independent predictive index and predictive models were analyzed., Results: A total of 149 patients with SAP were enrolled, including 87 males and 62 females, with age of (52.8±18.1) years old. There were 45 patients in IFD group and 104 patients in control group.Univariate analysis and multiple classified Logistic regression analysis showed that high sensitive C-reactive protein (hs-CRP), blood urea nitrogen (BUN), serum creatinine (SCr), serum calcium (Ca), procalcitonin (PCT) and neutrophil-lymphocyte ratio (NLR) were independent predictive factors of SAP with IFD. The ROC curve was used to calculate the cut-off value of the above indexes to predict IFD, and unwScore model was established. The cut-off score of IFD prediction by the unwScore model was 3 points, and the probability of IFD increased with the increase of the score. The area under ROC curve (AUC) of unwScore was 0.944, the sensitivity was 95.6%, the specificity was 94.2%, the positive predictive value (PPV) was 87.8%, and the negative predictive value (NPV) was 98.0%. The binary Logistic regression analysis of hs-CRP, BUN, Ca, SCr, PCT and NLR were carried out, and wScore model was established. The AUC of wScore was 0.959, the sensitivity was 95.9%, the specificity was 96.2%, the PPV was 91.5%, and the NPV was 98.1%; predictive value was superior to each independent index and unwScore model., Conclusions: hs-CRP, BUN, SCr, Ca, PCT and NLR were independent predictive factors of SAP with IFD. The multiple predictor models of SAP with IFD have a good predictive efficiency which may provide valuable clinical reference for prediction and treatment.