Search

Introduction: Sessile plants engage in trade-offs between growth and defense capacity in response to fluctuating environmental cues. MYB is an important transcription factor that plays many important roles in controlling plant growth and defense. However, the mechanism behind how it keeps a balance between these two physiological processes is still largely unknown. Objectives: Our work focuses on the dissection of the molecular mechanism by which GhMYB33 regulates plant growth and defense. Methods: The CRISPR/Cas9 technique was used to generate mutants for deciphering GhMYB33 functions. Yeast two-hybrid, luciferase complementary imaging, and co-immunoprecipitation assays were used to prove that proteins interact with each other. We used the electrophoretic mobility shift assay, yeast one-hybrid, and luciferase activity assays to analyze GhMYB33 acting as a promoter. A β-glucuronidase fusion reporter and 5′ RNA ligase mediated amplification of cDNA ends analysis showed that ghr-miR319c directedly cleaved the GhMYB33 mRNA. Results: Overexpressing miR319c-resistant GhMYB33 (rGhMYB33) promoted plant growth, accompanied by a significant decline in resistance against Verticillium dahliae. Conversely, its knockout mutant, ghmyb33, demonstrated growth restriction and concomitant augmentation of V. dahliae resistance. GhMYB33 was found to couple with the DELLA protein GhGAI1 and bind to the specific cis-elements of GhSPL9 and GhDFR1 promoters, thereby modulating internode elongation and plant resistance in V. dahliae infection. The ghr-miR319c was discovered to target and suppress GhMYB33 expression. The overexpression of ghr-miR319c led to enhanced plant resistance and a simultaneous reduction in plant height. Conclusion: Our findings demonstrate that GhMYB33 encodes a hub protein and controls the expression of GhSPL9 and GhDFR1, implicating a pivotal role for the miR319c-MYB33 module to regulate the trade-offs between plant growth and defense.

This paper addresses the challenge of managing state constraints in vehicle platoons, including maintaining safe distances and aligning velocities, which are key factors that contribute to performance degradation in platoon control. Traditional platoon control strategies, which rely on a constant time-headway policy, often lead to deteriorated performance and even instability, primarily during dynamic traffic conditions involving vehicle acceleration and deceleration. The underlying issue is the inadequacy of these methods to adapt to variable time-delays and to accurately modulate the spacing and speed among vehicles. To address these challenges, we propose a dynamic adjustment neural network (DANN) based cooperative control scheme. The proposed strategy employs neural networks to continuously learn and adjust to time varying conditions, thus enabling precise control of each vehicle’s state within the platoon. By integrating a DANN into the platoon control system, we ensure that both velocity and inter-vehicular spacing adapt in response to real-time traffic dynamics. The efficacy of our proposed control approach is validated using both Lyapunov stability theory and numeric simulation, which confirms substantial gains in stability and velocity tracking of the vehicle platoon.

ObjectiveTo analyze the epidemiological characteristics and etiology of clustered outbreaks of hand， foot， and mouth disease （HFMD） in Pudong New Area， Shanghai from 2017 to 2022， and to provide a scientific basis for the prevention and control of HFMD in the area.MethodsThe data related to HFMD clustered outbreaks from 2017 to 2022 were obtained from the Pudong New Area HFMD outbreak database. Descriptive analysis was conducted to explore the outbreak scope， seasonal characteristics， distribution of occurrence settings， and etiological composition.ResultsFrom 2017 to 2022， Pudong New Area reported a total of 2 547 HFMD clusters， involving 8 884 cases， with an average of 3.49 cases per event. The majority of events （78.52%） had between 2 and 4 cases. The peak reporting periods for clustered HFMD from 2017 to 2019 and in 2021 were during the summer （May‒July） and autumn （September‒November）. The seasonal pattern was less distinct in 2020 and 2022， likely due to the impact of the COVID-19 pandemic. The majority of clustered outbreaks occurred in childcare facilities （44.64%）， followed by households/neighborhood committees （44.21%）， with schools accounting for a smaller proportion （12.39%）. The etiology revealed the coexistence of multiple enterovirus genotypes， with a positive detection rate of 60.46%， and CoxA6 being the dominant strain.ConclusionHFMD clustered outbreaks in Pudong New Area show fluctuating trends， with significant yearly differences in the number of incidents. The predominant seasons for outbreaks are summer and autumn， with CoxA6 identified as the dominant strain. The implementation of prevention and control measures for COVID-19 significantly reduced the occurrence of HFMD outbreaks. Continuous monitoring and focus on large-scale clustered outbreaks in key institutions are essential for the future.

ObjectiveTo identify the rate， population characteristics， and vaccination history of repeat infections among previously infected people in the current epidemic based on the rate of repeat infection and population characteristics of different mutant strains at different times in Pudong New Area of Shanghai， and to provide reference for the prevention and control strategies of novel coronavirus repeat infections.MethodsA total of 9 250 investigated subjects were randomly selected from the new cases of asymptomatic infection and confirmed cases reported by Pudong New Area from March to May 2022. The investigation mainly focused on demographic characteristics， nucleic acid or antigen test results， and symptoms after infection. The repeat infection rates among different populations were compared， and logistic regression was used to analyze the impact of gender， age， and vaccination status on repeat infections.ResultsThe survey sample of 9 250 people had a response rate of 81.85%. There were 4 043 males （53.40%） and 3 528 females （46.60%）， with a median age of 34 years old （P25， P75： 7， 61）. The overall vaccine uptake rate was 59.44% （4 500/7 571）. In December of 2022， there were 563 cases of repeat infection， with an infection rate of 7.44%. The lowest rate of repeat infection was seen in the 3‒ year-old group （2.86%） and the highest rate in the 30‒ year-old group （12.42%）， with significant differences between different age groups. The repeated infection rate for those who had completed their vaccinations was significantly lower （6.57%） compared to those who had not （7.11%）. The age groups of 3‒ years， 70‒79 years， as well as individuals who completed full vaccination and received booster shots were protective factors against repeat infections.ConclusionThe overall rate of reinfection among the infected in Shanghai during the spring of 2022 was low in the outbreak of the Omicron variant， and the rate of reinfection in the 3‒ year-old group was significantly lower than in other age groups. Completing the full course of vaccination significantly reduces the risk of reinfection. Although the reinfection rate is high in individuals who received booster shots， it remains a mitigating factor compared to those who do not receive the vaccine. It is recommended to continue monitoring reinfections in key populations and further strengthen immunization efforts.

The final step in the production of the human Sd(a) antigen is catalyzed by beta-1,4-N-acetyl-galactosamine transferase 2 (B4GALNT2). This is done by adding a N-acetylgalactosamine residue via a beta-1,4 linkage to a subterminal galactose residue that has been substituted with an alpha-2,3-linked sialic acid. The final stage of the production of the Cad antigen is also catalyzed by B4GALNT2. Knocking out pig B4GALNT2 gene decreased human serum antibodies binding to pig cells, which greatly reduces the immunological rejection in clinical xenotransplantation trials. Interestingly, gene region LOC110255214 (hereafter named B4GALNT2-like) showed high similarity with the B4GALNT2 gene in the pig genome in our previous work, but whether B4GALNT2-like shares similar biological properties like B4GALNT2 remains to be elucidated, whether B4GALNT2-like is a potential immune gene in xenotransplantation remains to be determined.

The CO2 emissions of China power industry is the main source of CO2 emissions. The CO2 emissions of thermal power plants account for the largest proportion in the power industry. Under the goal of “double carbon”, CO2 accounting technology can realize the intuitive judgment of CO2 emissions in thermal power plants, provide important support for CO2 emission reduction in thermal power plants, promote thermal power plants to participate in carbon trading, and drive regional economic development. Combined with domestic and foreign policies, the implementation progress of the current general CO2 accounting methods was discussed. The problems existing in the CO2 accounting methods of thermal power plants based on carbon accounting and supplemented by carbon monitoring were summarized. The key and difficult points of the application of CO2 accounting technology in thermal power plants were analyzed. Finally, the development and application of CO2 accounting technology in thermal power plants were prospected.

BackgroundThe accuracy of transient thermal hydraulic parameter prediction of reactor cores under various working conditions directly affects reactor safety. Mass flow rate and temperature are important parameters of core thermal hydraulics, which are often modeled as time-series prediction problems.PurposeThis study aims to solve the accuracy problem of continuous prediction of core thermal hydraulic parameters under instantaneous conditions and to test the feasibility of a gated cycle unit based on the attention mechanism in core parameter prediction.MethodsThe 1/2 full core model of China Experimental Fast Reactor (CEFR) core was taken as the research object. The subchannel SUBCHANFLOW program was employed to generate the time series of transient core thermal hydraulic parameters. The gated recurrent unit (GRU) model based on soft attention was used to predict the mass flow and temperature time series of the core.ResultsThe results show that, compared with the adaptive radial basis function (RBF) neural network, the GRU network model with soft attention offers better prediction results. The average relative error of temperature is

【Objective】 Remote sensing has become a prominent tool for monitoring and evaluating surface water quality across catchment and basin scales. This paper compares different remote sensing technologies for assessing water quality of terrestrial rivers. 【Method】 We took the Fuyang River in Handan City as an example. Spectral data in different seasons were acquired from three distinct remote sensing platforms: Sentinel-2 satellite images, unmanned aerial vehicles (UAVs) equipped with multispectral sensors, and ASD field spectrometers. The random forest (RF) algorithm was used to derive the inversion model from each platform to assess water quality. 【Result】 ① The results obtained from RF models for different platforms showed noticeable seasonal variation. Overall, the calculated results were most accurate in the summer, followed by spring, and were least reliable in winter. During summer, remote sensing data obtained from all three platforms can accurately estimate water quality parameters. In spring, UAV remote sensing images were sufficient. ② The RF model derived from the UAV multispectral data can effectively predict turbidity (Turb) and suspended solids (SS) of water i the river, regardless of seasons. ③ The RF model derived from the hyperspectral data was most accurate for estimating total nitrogen, with R2 >0.9 in spring. ④ Hyperspectral reflectivity curves for different seasons showed distinct variation due to the change in pollution level. In summer, reflectivity distribution curves display markedly spatial variation. The reflectivity values at each wavelength varied significantly, with pronounced changes in absorption and reflection. The reflectivity curves in spring and winter were similar, but showed pronounced changes in spring, regardless of the wavelength. 【Conclusion】 Remote sensing images obtained from different platforms offer a wealth of data for river water quality monitoring. They provide a new avenue for real-time river water quality assessment.

Objective To explore the regulatory role and molecular mechanism of sodium butyrate (NaB) in lipopolysaccharide (LPS) induced inflammatory phenotype in BV2 microglia cells and the molecular mechanism. Methods BV2 cells were treated with different concentrations of NaB alone or combined with LPS.CCK8 assay was used to detect the change of cell viability and to screen the optimal concentration of the drug.Then the BV2 cells were divided into control, LPS group, low-and high-dose NaB groups (0.125 and 0.25 mmol/L).An inflammatory model of BV2 cells were established by pretreatment with NaB for 17 h followed by LPS treatment for 24 h.Griess assay was used to measure the NO content in the supernatant, and ELISA was employed to determine the contents of IL-1β, TNF-α and IL-10 in culture medium.The mRNA levels of iNOS and CD206 were detected by RT-qPCR.Immunofluorescence staining was used to observe the expression of iNOS and CD206.The protein levels of TLR4, NF-κB p65m, IKB-α and p-IKB-α were detected by Western blotting.Cytoplasmic and nuclear proteins were isolated to detect the nuclear translocation of NF-κB p65. Results Griess assay showed that the secretion of NO in the high-and low-dose NaB groups were lower than that in the LPS group (P < 0.05).ELISA results indicated that the high-and low-dose NaB groups had lower secretion levels of IL-1β and TNF-α, but high secretion level of IL-10 than the LPS model group (all P < 0.05).RT-qPCR revealed that high-and low-dose NaB treatment significantly decreased the mRNA expression of iNOS (M1 phenotypic marker) and promoted that of CD206(M2 phenotypic marker)(both P < 0.05).Immunofluorescence staining presented similar results as RT-qPCR (P < 0.05).Western blot results displayed that high-and low-dose NaB resulted in significantly inhibited protein expression of TLR4, NF-κB p65 and p-IKB-α as well as nuclear translocation of NF-κB p65 when compared with the LPS group (P < 0.05). Conclusion NaB significantly reduces LPS-induced neuroinflammatory responses in BV2 cells, which might be associated with its inhibition of TLR4/NF-κB signaling pathway and promotion of BV2 cells shifting from M1 to M2 phenotype.

An event-triggered adaptive control algorithm is proposed for cooperative tracking control of high-order nonlinear multi-agent systems (MASs) with prescribed performance and full-state constraints. The algorithm combines dynamic surface technology and the backstepping recursive design method, with radial basis function neural networks (RBFNNs) used to approximate the unknown nonlinearity. The barrier Lyapunov function and finite-time stability theory are employed to prove that all agent states are semi-globally uniform and ultimately bounded, with the tracking error converging to a bounded neighborhood of zero in a finite time. Numerical simulations are provided to demonstrate the effectiveness of the proposed control scheme.

With businesses increasingly prioritizing data-driven decision making, the demand for business analysts is high and expected to grow. In response, many universities and institutions have developed courses and programs related to business analytics to prepare more graduates for careers in this field. Business analytics programs and educators consistently strive to achieve a high level of student learning success, ensuring competence in working in the business analytics field after graduation. In this study, we aim to examine key factors influencing student learning in business analytics, focusing on performance expectancy and satisfaction. We examined specific factors, including personal interest, career relevance expectancy, learning effort, and perceived course structure effectiveness, from perspectives related to both students and instructors. A research model was developed and empirically tested. The results showed that all factors significantly influenced both perceived academic performance and learning satisfaction. Additionally, personal interest and career relevance expectancy could significantly impact learning effort.

【Objective】 The initiative of “Western Development” launched by Chinese Government in 1999 had greatly benefited the northwestern provinces in the country including Shaanxi, Gansu, Ningxia and Xinjiang. As ecological systems in these provinces are fragile, rational use of agricultural resources is crucial to their sustainable development. The purpose of this paper is to present a method to help sustainable use of their agricultural resources. 【Method】 The method is based on the wavelet-PSOSVM (particle swarm optimization (PSO) and support vector machine techniques (SVM)). The evaluation indexes are constructed using data measured from 2018 to 2020 in six aspects: economy, science and technology, society, natural environment, resources, and ecological governance. 【Result】 ①The mean square error and the correlation coefficient of the wavelet-PSOSVM are 9.411 5×10-5 and 0.968, respectively. In contrast, the mean square error and the correlation coefficient of PSOSVM are 0.015 3 and 0.967, respectively, using the same training and test set. The wavelet process improves the predicting accuracy and convergence of the PSOSVM. ②The mean square error and the correlation coefficient of the wavelet-SVM are 20.836 and 0.748 respectively, while the mean square error and correlation coefficient of the SVM are 30.903 and 0.634, respectively, using the same training and test sets. The wavelet process also improvs the predicting accuracy and convergence of the SVM. 【Conclusion】 Using wavelet process in both PSOSVM and SVM algorithms significantly improves their prediction accuracy, convergence, and training time efficiency, while reducing their complexity. Its application for evaluating sustainable utilization of agricultural resources in the four provinces in northwestern China indicates that, in terms of sustainability, Xinjiang comes to the top, followed by Gansu, with Shaanxi and Ningxia ranked in third and fourth, respectively.

Abstract

BACKGROUND The determination of kalium and phosphorus in plant samples is usually carried out by high-pressure sealed microwave digestion-inductively coupled plasma-optical emission spectrometry (ICP-OES).However, complex matrices can increase the difficulty of digestion, such as peanuts, walnuts, and other samples containing high oil and grease macromolecular polymers, which are difficult to digest quickly and thoroughly, easily leading to low results. OBJECTIVES To improve the efficiency for the determination of kalium and phosphorus in plants. METHODS Sulphuric acid-hydrogen peroxide digestion and high pressure sealed microwave digestion were used to convert the elemental phosphorus into phosphate and the kalium into free potassium ions to form a single-phase monovalent digestion solution. RESULTS Validation of the actual sample analysis showed that: (1) For high oil and grease samples, the sulphuric acid-hydrogen peroxide digestion method can directly digest the sample by destroying the outer layer structure of the plant by strong acid, causing rapid charring of the organic matter, followed by rapid digestion (about 2.5h) by dropwise addition of hydrogen peroxide, which is safer and more thorough; whereas the high-pressure sealed microwave digestion method is more time-consuming (about 4.5h).Compared with the results of most scholars, the sulphuric acid-hydrogen peroxide method is recommended, because its accuracy is better than that of the high-pressure sealed microwave method.(2) For non-oil samples, both treatments are suitable and there is no significant difference between the results of kalium and phosphorus determination, with the high-pressure sealed microwave digestion method being recommended for its low reagent consumption, low blank value and ease of operation.The results of the two methods are in good agreement with the experimental results of most scholars.(3) The limits of detection for kalium and phosphorus by the sulfuric acid-hydrogen peroxide digestion method were 0.006mg/L and 0.001mg/L, respectively.For the high oil and grease samples, the RSD ranged from 1.32% to 1.98%, the repeatability r ranged from 2.90% to 8.21% and the error of determination ranged from-0.007% to-0.025%.For the non-oil samples, the RSD ranged from 0.51% to 0.87%, the repeatability r ranged from 0.77% to 5.08%, and the error of determination ranged from-0.002% to 0.010%.The limits of detection for kalium and phosphorus by high pressure sealed microwave digestion were 0.005mg/L and 0.001mg/L, respectively.For the high oil and grease samples, the error of determination for kalium and phosphorus ranged from-0.012% to-0.028%;for the non-oil samples, and the error of determination for kalium and phosphorus ranged from-0.010% to 0.001%. CONCLUSIONS The sulphuric acid-hydrogen peroxide digestion method is capable of rapidly digesting high oil and grease macromolecular polymers, but it is affected by the complexity of the samples and the external environment.With the development of science and technology, direct solid injection with artificial intelligence will be the future trend.

During attempts to prevent and control the COVID-19 pandemic in China, higher education programs shifted their traditional educational models to online models. This paper aimed to explore how Chinese universities organized online teaching and learning during the pandemic. It investigated the factors affecting the implementation of online teaching and provided policy recommendations for improving the quality of education in the post-pandemic period. The primary data for this study came from in-depth interviews with nine students and five teaching and administrative staff at eight major universities in mainland China. Literature was obtained in both English and Chinese from January 2020 to September 2021. Peer-reviewed journals, policy reports, and university documents regarding online education in Chinese universities were reviewed, and their challenges and countermeasures were investigated. The paper found that the implementation of online education was affected by various sources, including technologies, teachers' teaching skills, network information literacy, and students' learning motivations and self-directed learning skills. Based on the insiders' views, the paper suggested that to promote the quality of online education in the post-COVID-19 pandemic, higher education institutes and programs could develop their infrastructure construction, improve teachers' quality of teaching, and focus on students' learning motivations.

Th is review summarized the current status of domestic and international research on epidemiology, evaluation, treatment and nursing interventions for elderly female urinary incontinent patients. This review would also provide a theoretical basis for further developing to build up total quality management system in elderly female urinary incontinent patients. (本研究从流行病学, 尿失禁的评价标准, 老年女性UI患者的综合治疗及护理等方面, 综述了老年女性UI患者国内外研究现状, 并对现有治疗及护理干预措施进行归纳总结, 为构建老年女性UI患者全程管理体系提供依据。)

As one of the important way for constructing smart agriculture, unmanned farms are the most attractive in nowadays, and have been explored in many countries. Generally, data, knowledge and intelligent equipment are the core elements of unmanned farms. It deeply integrates modern information technologies such as the Internet of Things, big data, cloud computing, edge computing, and artificial intelligence with agriculture to realize agricultural production information perception, quantitative decision-making, intelligent control, precise input and personalized services. In the paper, the overall technical architecture of unmanned farms is introduced, and five kinds of key technologies of unmanned farms are proposed, which include information perception and intelligent decision-making technology, precision control technology and key equipment for agriculture, automatic driving technology in agriculture, unmanned operation agricultural equipment, management and remote controlling system for unmanned farms. Furthermore, the latest research progress of the above technologies both worldwide are analyzed. Based on which, critical scientific and technological issues to be solved for developing unmanned farms in China are proposed, include unstructured environment perception of farmland, automatic drive for agriculture machinery in complex and changeable farmland environment, autonomous task assignment and path planning of unmanned agricultural machinery, autonomous cooperative operation control of unmanned agricultural machinery group. Those technologies are challenging and absolutely, and would be the most competitive commanding height in the future. The maize unmanned farm constructed in the city of Gongzhuling, Jilin province, China, was also introduced in detail. The unmanned farms is mainly composed of information perception system, unmanned agricultural equipment, management and controlling system. The perception system obtains and provides the farmland information, maize growth, pest and disease information of the farm. The unmanned agricultural machineries could complete the whole process of the maize mechanization under unattended conditions. The management and controlling system includes the basic GIS, remote controlling subsystem, precision operation management subsystem and working display system for unmanned agricultural machineries. The application of the maize unmanned farm has improved maize production efficiency (the harvesting efficiency has been increased by 3－4 times) and reduced labors. Finally, the paper summarizes the important role of the unmanned farm technology were summarized in solving the problems such as reduction of labors, analyzes the opportunities and challenges of developing unmanned farms in China, and put forward the strategic goals and ideas of developing unmanned farm in China.

Although research has always related e-portfolios to self-regulated learning, recently agency, which includes individual, relational, and contextual domains, has also been highlighted. Likewise, agency has been explored in technological environments that support collaborative and co-design learning processes. This study, investigating the enactment of student agency within e-portfolio learning co-design with 68 secondary students in Hong Kong, focuses on how students perceive their agency within a co-design e-portfolio learning framework, which was coined as the Co-PIRS model in previous stages of research. With descriptive aims, a mixed research methodology was designed using quantitative and qualitative data collection instruments. Among the findings, it is argued that students report a greater awareness of agency, characterized by competence beliefs (individual domain) in the showcase phase of e-portfolios, peer learning (relational domain), and the opportunities to make choices (contextual domain) in the implementation phase. The study also reveals students' positive attitudes towards reflection, which suggests the suitability of structuring collaboration in the co-design approach. These insights serve as a foundation for implementing e-portfolio co-design frameworks to empower students' agency and provide educators with guidance in Secondary Education and beyond. [Note: The page range (190-203) shown on the PDF is incorrect. The correct page range is 190-202.]

Lithium-ion battery is an ideal power source for portable electronic products, electric vehicles and smart grid. At present, there are still some problems, such as safety and short service life, in lithium-ion batteries using organic liquid electrolyte, however, solid-state batteries (SSB) with non-combustible solid-state electrolyte (SSE) are expected to solve these problems. In principle, nonflammable solid electrolyte can fundamentally prevent the battery from combustion and explosion and only allow lithium ions to flow in the solid electrolyte, which can reduce the occurrence of side reactions. In recent years, with the emergence of several solid electrolytes with high ionic conductivity, the transport of lithium ion in solid electrolytes is no longer a bottleneck. However, the various components in solid-state batteries have different chemical, physical and mechanical properties, as a result, there are many types of interfaces in solid-state batteries, including loose physical contact, grain boundary, chemical and electrochemical reaction interfaces, which may impede the ion transport at the interface. The interface reaction between the cathode and electrolyte is especially complex. It is necessary to understand these complex interfaces and the reaction characteristics. Therefore, the work of exploring and understanding the cathode/electrolyte interface in recent years was reviewed in this paper, and the typical cathode side interface and their unique reaction characteristics in solid-state batteries were summarized.

Objective To evaluate the clinical efficacy of the concurrent chemoradiotherapy (CCRT) combined adjuvant chemotherapy (AC) for locally advanced nasopharyngeal carcinoma (NPC). Methods From April 2011 to January 2019, 318 patients with locally advanced NPC were collected from radiotherapy center of the Second Affiliated Hospital of Army Medical University. According to the results of CCRT, the patients were divided into the adjuvant group and the no-adjuvant group to comparatively analyze the survival outcome and adverse reaction of those patients received adjuvant chemotherapy. Stratification analysis was used to analyze the survival difference of different therapy plans (CCRT, CCRT+AC, IC+CCRT and IC+CCRT+AC) among 318 patients. The survival difference of 99 pairs of patients in the subgroup of clinical parameters was analyzed after the patients in the adjuvant group were paired with the patients in the no-adjuvant group. Results Compared with CCRT, CCRT combined with adjuvant chemotherapy could increase the overall survival(OS), progression-free survival(PFS), distant metastasis-free survival(DMFS)and recurrence-free survival(RFS); Compared with IC plus CCRT(IC+CCRT), IC+CCRT+AC showed a decreasing trend in OS, PFS, DMFS and RFS. According to the results of stratification analysis, for EBV positive, N3 stage and IVA stage patients, adjuvant chemotherapy had a tendency to increase OS, PFS, DMFS and RFS, and increase the RFS for the T4 stage patients. There was no difference in acute radiation mucositis, acute radiation pharyngitis and esophagitis between the two groups. The adjuvant group had higher incidence rate than the non-adjuvant group in ≥2 grade of myelosuppression(68% vs 55%, P=0.020). Conclusion Adjuvant chemotherapy after concurrent chemoradiotherapy cannot significantly increase the survival benefit for patients with locally advanced NPC; For EBV positive, stage N3 and stage ⅣA patients, there is a positive trend in OS, PFS, DMFS and RFS, and for stage T4 patients, they also obtain benefit in PFS.

In order to meet the development needs of economic and efficient in oilfield distribution network,and to realize the goal of low carbon more quickly,the investment decision-making method of energy-saving measures optimization is proposed. Firstly,the loading behaviors of pumps is analyzed,an calculation model for special line loss of oilfield distribution network based on load superposition characteristics is proposed,which is corrected according to the actual load of oilfield. Next, according to different energy-saving models and the GM(1,1)gray prediction model,the optimization investment decision model of oilfield distribution network is established. Then,based on the characteristics of oilfield energy-saving measures,the direct comparison objective method and the taboo search method are respectively selected to solve the solution of the different oilfield scale. Finally,a 30-node 6 kV distribution network line in an oilfield is taken as an example for simulation verification. The results show that the energy-saving and loss reduction scheme of oilfield distribution network obtained by the investment decision-making method in this paper has high cost performance and can effectively improve the voltage at the end of the line.

Uranium is one of the important strategic resources. It plays a decisive role in ensuring the stable development of nuclear energy. The shortage of uranium resources on land has aroused widespread concern. The total amount of uranium resources in seawater is more than 1 000 times that of land uranium resources. To ensure a stable supply of uranium, the research on the recovery of uranium from seawater has never stopped since the 1950s. The chelating functional adsorbent containing amidoxime group showed excellent adsorption ability and high selectivity for uranium over other co-existing metallic ions. In view of the important problems in the recovery of uranium, this paper reviewed the research progress in uranium desorption from the loaded uranium amidoxime materials. The desorption behavior, mechanism and characters of the loaded uranium materials with inorganic acidic solutions, alkaline solutions and organic complex solutions were summarized. The effect of co-existing metals on the uranium desorption was evaluated. Some problems were proposed to be investigated and solved further in the future. The possibility and feasibility for application of the advanced desorption technology in large-scale industrial desorption and recovery of uranium from the loaded chelating functional adsorbent containing amidoxime group were evaluated.