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Objective To investigate the effects of a disintegrin and metalloprotease domain 10 (ADAM10) inhibitor on synaptic structure and blood-brain barrier (BBB) permeability in rats with autism-like behavior. Methods A total of 50 male offspring rats with prenatal exposure to valproic acid (VPA) to induce autism-like behavior were randomly divided into VPA group and ADAM10 inhibitor, TAT-Pro-ADAM10 (709-729) group (TAT-Pro group), with 25 rats in each group. And another 25 offspring male rats induced by normal saline during pregnancy served as control group (CON group). The TAT-Pro group was given intraperitoneal injection on postnatal day 20 with 3 nmol/g TAT-Pro-ADAM10 (709-729), and equal volumes of normal saline were given to the CON and VPA groups. The changes of body mass and tail length of offspring rats were measured and recorded during modeling. Western blotting was performed to detect the protein levels of ADAM10, vascular endothelial cadherin (VE-Cad), Occludin, zonula occludens-1 (ZO-1), post-synaptic density protein-95 (PSD95), and synaptophysin (SYN) in the hippocampal tissue of the offspring rats in 24 h after administration. The expression of ZO-1 protein was further verified by immunofluorescence assay. Behavioral tests were conducted from postnatal day 24, including open field, grooming, three-chamber social interaction, and water maze tests. The density of dendritic spines in hippocampal tissue in the offspring rats on postnatal day 28 was detected by Golgi staining. Results Compared with the VPA group, the TAT-Pro group showed no significant changes in body weight and tail length, but significantly improved repetitive stereotyped behaviors, social skills and learning memory ability (P < 0.05), reduced protein levels of ADAM10 and PSD95 in hippocampal tissues (P < 0.05), and elevated levels of VE-cad and Occludin (P < 0.05). The density of dendritic spines was significantly reduced (P < 0.05), and the number of immature dendritic spines also decreased in the TAT-Pro group than the VPA group. Conclusion Inhibition of ADAM10 overexpression during the critical period of synaptic development can alleviate learning and memory dysfunctions in VPA-induced rats with autism-like behavior, and has a certain restorative effect on abnormal synaptic structures and blood-brain barrier permeability.

In this study, high internal phase Pickering emulsions (HIPPEs) were prepared using soybean isolate protein microgel particles, which were prepared by gel disruption, as a stabilizer. Confocal laser scanning microscopy (CLSM) showed that the oil droplets were encapsulated within protein particles, and some of them were observed to exhibit a polyhedral morphology due to stacking, which is a typical feature of typical O/W-type HIPPEs. Increasing oil content and protein particle concentration improved the viscosity, storage modulus and gel strength of the system, which endowed the emulsion with 3D printing ability. When the oil content was 75% and the protein particle concentration was 3.0%, the accuracy and stability of the printed model were 93.35% and 98.72%, respectively. The results of this study indicated that HIPPEs can be used as an effective ink for 3D printing of food products, which provide a theoretical basis for expanding the application of 3D printing in the food field.

ObjectiveTo analyze the epidemiological characteristics, spatiotemporal clustering, and changing trends of hand, foot, and mouth disease (HFMD) in Fujian province from 2009 to 2022. MethodsData on HFMD cases in Fujian province from 2009 to 2022 were obtained from the Surveillance Reporting Management System of the China Information System for Disease Control and Prevention. Descriptive epidemiology, Joinpoint regression, spatial autocorrelation analysis, and spatiotemporal scanning were used to analyze HFMD in Fujian province. ResultsA total of 927 366 HFMD cases were reported in Fujian province from 2009 to 2022, with an average annual reported incidence rate of 172.15/100 000, severe case rate of 0.62/100 000, mortality rate of 0.018/100 000, and case fatality rate of 10.68/100 000. The reported incidence rate, severe case rate, mortality rate, and case fatality rate of HFMD all showed a trend of first increasing and then decreasing. HFMD incidence exhibited obvious seasonality, with two peaks each year, the main peak in May – June and the secondary peak in September – November. The key population was children aged < 5 years, accounting for 91.33% of all cases. Among 40 637 laboratory-confirmed cases, accounting for 4.38% of all confirmed cases, 28.93% (11 756/40 637) were positive for enterovirus A71 (EV-A71), 20.38% (8 280/40 637) were positive for coxsackievirus A16 (COX-A16), and 50.69% (20 601/40 637) were positive for other enteroviruses. Spatiotemporal clustering of HFMD existed in Fujian province (Moran′s I = 0.15 – 0.56, P < 0.05). Spatiotemporal scanning detected three clusters, one primary cluster and two secondary clusters. ConclusionObvious spatiotemporal clustering of HFMD existed in Fujian province from 2009 to 2022, and the overall epidemic trend first increased and then decreased. Prevention and control of the epidemic should focus on the prefecture-level city unit and strengthen HFMD prevention and control for key populations and before the arrival of epidemic peaks.

With the gradual increase of the proportion of renewable energy in the power system, the risk of frequency fluctuation in the power system increases. Flywheel and lithium battery can complement each other as hybrid energy storage applied in the primary frequency regulation of the grid, effectively solving the problem of system frequency fluctuation. In order to give full play to the respective frequency regulation advantages of flywheel and lithium battery, a primary frequency regulation (PFR) strategy for battery-flywheel hybrid energy storage based on adaptive state of charge (SOC) is proposed. Firstly, a weight allocation PFR is proposed, containing three control methods, namely, positive and negative virtual inertia control and virtual droop control. Secondly, the parameters of the PFR are corrected by using the SOC of the doubly-fed flywheel and the Li-ion battery, so as to improve the PFR capability of hybrid energy storage near the threshold of SOC. Finally, the control strategy of the hybrid energy storage with the other control strategies is compared with that of this paper in simulation under the frequency regulation scenarios. The results show that the SOC fluctuation range of the energy storage system of the strategy proposed in this paper is minimum. The battery will not be overcharged and overdischarged, and the system frequency fluctuation is kept no more than ±0.2 Hz, which proves that the proposed strategy can improve the frequency stability of the grid.

Background Complex intracranial aneurysms are one of the most difficult cerebrovascular diseases to treat, and even experienced cerebrovascular surgeons face great challenges. Intracranial - intracranial bypass with interposition graft has its unique surgical indications and technical points, but there is a lack of research reports in the literature at home and abroad. Methods Six patients with complex intracranial aneurysms who were cured by intracranial-intracranial bypass with interposition graft from January 2015 to December 2023 in The First Medical Center of PLA General Hospital were enrolled, DSA was used to evaluate the patency of postoperative grafts and aneurysm development, modified Rankin Scale (mRS) was used to evaluate the neurological prognosis, and the procedure - related complications such as cerebral infarction, intracranial hemorrhage, scalp nonunion, and forearm nerve dysfunction were recorded. Results All 6 patients successfully completed intracranial-intracranial bypass with interposition graft, with superficial temporal artery (STA) in 5 cases and radial artery (RA) in one case. The grafts were embedded between the proximal and distal parent arteries in 2 cases, and the grafts were bridged between the distal donor and proximal donor in 2 cases, one case was reconstructed in a "Y" shape between the artery and the recipient artery, one case was reconnected proximally to the donor artery, and the distal end was anastomosed with the branch end - to - end. Postoperative DSA showed all aneurysms disappeared and the grafts were unobstructed. The average postoperative follow-up was 23.67 months, and there was no recurrence of aneurysms and grafts occlusion, and the mean mRS score was 0.33 at the last follow - up. There were no surgery - related complications after surgery. Conclusions Intracranial -intracranial bypass with interposition graft is an effective method for the treatment of complex intracranial aneurysms, which has the technical advantages of strong flexibility, abundant variants and wide range of indications, and can provide more abundant, safe and effective individualized treatment strategies for cerebrovascular surgeons.

Various symbiotic/associated oil and gas resources have been found in the exploration area of Shengli Oilfield， and some of them serve as strategic resources for guaranteeing the security of national defense， agriculture， high-tech， and other industries， which are of great value in development and utilization. The current exploration and development status， occurrence characteristics， ore-forming conditions， and comprehensive utilization prospects of helium， brine （potassium salt）， and uranium ore that have been deeply studied and industrially produced in China were analyzed. The results show that ① the high helium anomalies are mainly distributed in more than 10 areas of the Jiyang Depression and Qaidam Basin， as well as in multiple layers of the Proterozoic-Cenozoic， associated with conventional natural gas， non-hydrocarbon gas， and shale gas； ② Jiyang Depression and Qaidam Basin provide the paleoclimate and palaeoenvironment for developing brine （potassium salt） from the Paleogene to the Quaternary. The oilfield water in Dongying Sag contains abundant amounts of bromine， lithium， and potassium， and more potassium and lithium are found in the oilfield water in Qaidam Basin， with the content in some areas reaching industrial grade； ③ the sandstone is the primary type of uranium ore. The multiple wells in Chepaizi Uplift exhibit highly abnormal gamma values in the Cretaceous and Neogene， indicating that this area is the most favorable prospective area of associated uranium ore. In other exploration areas of Shengli Oilfield， such as Tuha Basin， Qaidam Basin， and Jiyang Depression， the forming conditions for uranium ore are observed， including uranium sources， structures， lithofacies， hydrogeology， etc.， and natural gamma logging data from some wells show high abnormal values. Overall， the symbiotic/associated oil and gas resources in the exploration area of Shengli Oilfield show the characteristics of various types， multiple layers， and wide abnormal areas. It is necessary to fully take the natural advantages of Shengli Oilfield in terms of basic exploration data， basic geological achievements， and engineering facilities，to systematically carry out research on the reservoir forming （ore-forming） law of symbiotic/associated oil and gas resources， evaluate resource potential， and innovate extraction technology as soon as possible， to achieve a new business growth pole.

Objective To investigate the effect of cerebrospinal fluid (CSF) metagenomic next - generation sequencing (mNGS) in diagnosis and treatment of intracranial infection. Methods A retrospective analysis of 117 patients with intracranial infection were admitted to Shenzhen Second People's Hospital from January 2020 to December 2022. Before initiating empirical broad - spectrum antibiotic treatment, CSF samples were collected for microbial culture (conventional culture group, n = 58) and/or mNGS (mNGS group, n = 59). The results were used to adjust the antibiotic treatment plan, and the study compared the pathogen detection rates and result reporting times of the two testing methods, as well as the antibiotic intensity grading, the intensive care unit (ICU) stay, total hospital stay, and mortality rate. Results A total of 65 pathogens were detected from the CSF samples of all the patients through microbial culture and/or mNGS, with viruses being the most prevalent, accounting for 49.23% (32/65), followed by Gram-negative bacteria (24.62%, 16/65), Gram-positive bacteria (18.46%, 12/65) and fungi (7.69%, 5/65). The pathogen detection rate of CSF mNGS was higher than that of CSF microbial culture (χ2 = 22.781, P = 0.000), and the results were reported earlier (t = - 32.588, P = 0.000). Based on the results, 20 cases (33.90%) in the mNGS group adjusted antibiotic treatment plan, with 5 cases downgrading and 15 cases upgrading the intensity of antibiotic application. In the conventional culture group, 30 cases (51.72%) adjusted their antibiotic treatment plan, with 17 cases downgrading and 13 cases upgrading the intensity of antibiotic application. There was no significant difference between the 2 groups (Z = - 1.917, P = 0.055). And there was no statistically significant difference in ICU stay (Z = - 0.716, P = 0.474）, total hospital stay (Z = - 0.933, P = 0.351) and mortality rate (Fisher's exact probability: P = 0.496) between the 2 groups. Conclusions The application of mNGS can effectively improve the detection rate of intracranial infection pathogens, which may shorten the duration of antibiotic use and reduce the intensity of broad - spectrum antibiotics, so as to help clinical effective judgment and treatment decision.

Infrared small target detection has been widely used in the military and civil fields. The detection difficulties lie in small target size, few details and complex background interference. Existing classic deep learning detection methods are commonly suitable for generic target detection, but have poor adaptability to infrared small targets. To handle these problems, this article build a new infrared small target detection network based on U-shaped attention block and pixel-wise attention block. Firstly, a residual U-shaped attention block to extract multi-scale features through local U-shaped subnetworks in a single layer level and extract multiscale features to enrich the representation of small-scale target features is designed, so as to enhance the network′s ability to discriminate small-scale targets. Then, small target information is further preserved through dense fusion method to alleviate the semantic gap feature fusion between different layers and reduce the miss detection rate. Finally, the pixel-wise attention in space and channel dimensions is applied to the fused feature map to enhance small targets and suppress complex background interference. The experimental results show that the present network outperforms the latest benchmark method in the intersection over union, detection probability and false alarm rate of two infrared small target data sets NUDT-SIRST and IRSTD-1k. Moreover, the present network also achieves a good balance between the detection accuracy and the efficiency.

BackgroundThe existing tools in China for assessing psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint do not sufficiently consider the specialty in psychiatric practice， and the scale items are somewhat cumbersome to use， which together restrict their further promotion and application. Accordingly， there is an urgent need for developing a more scientific assessment tool.ObjectiveTo construct a scale for assessing psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint and to verify its reliability and validity， so as to provide a generic tool for the assessment.MethodsBased on the theoretical framework of the knowledge-attitude-practice model， the preliminary scale was formed through systematic literature review， qualitative interview and Delphi method. From July to December 2021， a stratified sampling was utilized to select 729 psychiatric nurses from tertiary， secondary and primary （including unclassified medical institutions and grassroots hospitals） psychiatric hospitals in Guangdong Province. The formal scale was developed through item analysis， exploratory factor analysis and confirmatory factor analysis. The validity of the scale was evaluated by content validity and structure validity， and the reliability was verified by procedures including Cronbach's α coefficient， test-retest reliability， and split-half reliability.ResultsA total of 12 items of three dimensions （knowledge， attitude， practice） were included in the scale for assessing psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint. The scale-level content validity index （S-CVI） was 0.941， and the item-level content validity index （I-CVI） ranged from 0.812 to 1.000. Exploratory factor analysis extracted three common factors， and the cumulative variance contribution rate was 62.948%. The confirmatory factor yielded adequate fit. Cronbach's α coefficient was found to be 0.887 for the scale， 0.819 for knowledge dimension， 0.842 for attitude dimension， and 0.831 for practice dimension. The split-half reliability and test-retest reliability for the scale were 0.712 and 0.922， respectively.ConclusionThe scale shows satisfactory reliability and validity， which can be used to assess psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint. ［Funded by Guangdong Clinical Teaching Base Teaching Reform Research Project （number， 2021JD119）］

【Objective】In response to the needs of Ultra High Voltage (UHV) site infrastructure control and intelligent transportation and inspection, 5th Generation Mobile Communication Technology (5G) is applied to the construction phase of UHV converter station for the first time in China.【Methods】On the basis of realizing 5G full coverage of Henan southern converter station, 5G virtual private network of converter station is built and the Mobile Edge Computing (MEC) cloud platform is deployed. Fully considering the needs of early infrastructure and late operation, the intelligent infrastructure site is connected with the intelligent converter station in the later stage. Relying on the advantages of 5G and integrating Artificial Intelligence (AI) and other technologies, various types of data on the construction site of UHV infrastructure can be collected in real-time and unified, providing multi-functional 5G solutions for remote video monitoring of UHV infrastructure, engineering monitoring and early warning, panoramic presentation of infrastructure site, identification of safety hazards, and expert remote assistance guidance. 5G applications such as smart construction site, intelligent inspection and intelligent control are organized and 5G network adaptation test is carried out.【Results】Providing a flexible, large-bandwidth and high-speed communication methods of 5G for the business application of Henan southern converter station. It effectively enables various business requirements in the UHV converter station, verifying the carrying capacity of 5G for UHV construction and inspection services. It also improves the management efficiency, and reduces the operation and maintenance cost.【Conclusion】The successful application of 5G in the Henan southern UHV converter substation provides a typical UHV substation solution of 5G+ energy Internet, which verifies the feasibility of 5G in the power industry and also promotes the application of 5G in power scenarios.

Background Urinary incontinence often occurs in women aged 40-60 years and contributes to a significant impact on women's physical health and quality of life. Objective To explore the prevalence and influencing factors of urinary incontinence and its impact on quality of life in women aged 40-60 years in Guizhou Province. Methods From June 2022 to January 2023, women aged 40-60 years who underwent health checkups in 10 hospitals in 7 regions of Guizhou Province were selected as the study subjects. A self-designed general data questionnaire was used to collect the basic data of the study subjects, and International Consultation on Incontinence Questionnaire-Female Lower Urinary Tract Symptoms (ICIQ-FLUTS) and Incontinence Quality of Life Measure (I-QoL) were used to determine the severity of urinary incontinence and the level of quality of life of the study subjects, respectively. Different types of incontinence, including stress incontinence, urge incontinence, and mixed incontinence, were determined according to the diagnostic criteria established by the International Continence Society (ICS). Multivariate Logistic regression analysis was used to explore the influencing factors of urinary incontinence, and explore the effects of different types and severity levels of urinary incontinence on patients' quality of life. Results A total of 3 000 questionnaires were distributed, and 2 966 valid questionnaires were collected, with a valid recovery rate of 98.9%. The prevalence of urinary incontinence among the 2 966 study subjects was 33.4% (991/2 966), including 20.1% (596/2 966) for stress incontinence, 2.0% (58/2 966) for urge incontinence, and 11.4% (337/2 966) for mixed incontinence. Multivariate Logistic regression analysis showed that physical exercise, menstrual status, parity, history of pelvic organ prolapse, perineal laceration, and lateral episiotomy were the influencing factors of stress incontinence (P

ObjectiveTo conduct comprehensive assessment of internal and external cadmium exposure and health risks for Shanghai residents.MethodsCadmium levels in food samples were calculated by employing two dietary exposure assessment methods， total diet study （TDS） and food frequency questionnaire （FFQ）， to estimate the daily dietary cadmium exposure of Shanghai residents. The provisional tolerable monthly intake （PTMI） of cadmium set by joint food and agriculture organization/WHO expert committee on food additives （JECFA） was applied to evaluate the health risk. Differences in dietary and urinary cadmium were compared by rank-sum test among different regions， age， gender， smoking status， and BMI groups， and the association between internal and external cadmium exposure was investigated by correlation analysis.ResultsThe mean value of urinary cadmium for 1 300 respondents was 0.542 μg·L-1. Urinary cadmium was higher in the population in central urban and urban-rural fringe areas than in the suburban area， higher in the older age group than in the younger age group， and higher in the smoking group than in the non-smoking group （all P

Pain not only affects the physical and mental health of individuals, but also imposes a huge burden on society as a whole. Traditional pain management measures are diverse, but each has its limitations. Therefore, there is an urgent need for new tools. Digital therapies are booming, and virtual reality (VR) has been widely used, especially in the field of pain management. VR uses assistive tools, such as headsets, to build a three-dimensional virtual world with the participation of multiple senses, including vision, hearing, and smell, so that it can make user feel being there. This review aims to summarize the application and mechanism of VR in the field of pain management, with the hope of making VR a new choice for pain management.

Objective This study aimed to explore the root length of maxillary and mandibular anterior teeth and central incisor crown-root morphology in patients with high-angle skeletal Class Ⅱ open bite, aiming to provide a reference for clinical treatment. Methods This study was reviewed and approved by the Ethics Committee, and informed consent was obtained from the patients. CBCT images of eighty-one untreated patients (40 anterior open bite patients and 41 normal overbite patients) with high-angle skeletal Class Ⅱ malocclusion were selected before treatment. Dolphin software was used to study the root length of maxillary and mandibular anterior teeth and central incisor crown-root morphology, and the differences between the two groups were analyzed. Results There was no statistical significance in the root length of maxillary lateral incisor and canine between the open bite group and the normal overbite group, significant differences were found in the root length of maxillary central incisor （11.12 ± 1.37） mm、mandibular central incisor（10.15 ± 1.09）mm, mandibular lateral incisor（11.27 ± 1.15）mm and mandibular canine（12.81 ± 1.48）mm between the open bite group and the normal overbite group（P

In response to challenges encountered in the analysis of distribution network investments， such as the difficulty in achieving precise estimations of the total investment and the lack of effective validation for investment allocation ratios， a vertically and horizontally integrated distribution network investment allocation strategy， along with its validation method， is proposed. Firstly， the total investment is determined based on the unit investment effectiveness of historical annual distribution network comprehensive planning. Subsequently， allocation ratios for different project types are determined， and the overall investment amount is allocated to various grids within the power supply network. Following this， project optimization is conducted within each power supply grid. The engineering quantity method is employed to decompose the actual quantities of completed historical projects and determine the comprehensive unit price， allowing for the estimation of the specific investment amounts for selected projects in the target year. Finally， the total investment amount and allocation ratios for the target year are obtained. Through case analysis and comparison with mainstream methods， the accuracy and effectiveness of the proposed approach are validated.

The study of catalytic reaction mechanism is a critical and extremely challenging project. Online monitoring of reactants, intermediates and products during catalytic reactions can provide key evidence for the in-depth study of complex catalytic reaction networks, reaction pathways and reaction kinetics. As an online mass spectrometry based on soft ionization technique, vacuum ultraviolet photoionization mass spectrometry (VUV-PIMS) has proven itself as a versatile and powerful analytical technique for online and real-time process monitoring, which has gradually become a highly concerned characterization technique for catalytic reaction processes due to its advantages of high molecular ion yield, simple spectrum interpretation and high sensitivity. Compared with other commonly used synchrotron radiation and laser-based VUV light sources, the low pressure discharge lamps filled with various rare gases are compact, easy to operate, and low cost, such as krypton discharge lamps. However, the relatively low photon intensity of these lamps limits their applications. The efforts have been taken to develop stronger VUV light sources or lamp-based efficient combined ion sources to solve this issue. In this paper, the development of VUV-PIMS technology, especially the research progress of photoionization ion sources based on the VUV lamp, were reviewed, such as high-pressure photoionization (HPPI) source, single photon ionization-photoelectron ionization (SPI-PEI) combined ion source, and single photon ionization-chemical ionization (SPI-CI) combined ion source. By combining capillary sampling technology or molecular beam sampling technology, the applications of VUV-PIMS for real-time and online monitoring of stable products and active intermediates in catalytic processes were introduced, such as ammonia synthesis, methane/ethane catalytic conversion, methanol to olefins. The applications in online monitoring of these catalytic reaction processes exhibited an excellent performance and wide potential applications of VUV-PIMS in process monitoring and reaction mechanism research. Finally, the future development trend of VUV-PIMS was prospected for the application requirements of accurate characterization of catalytic reaction process.

Extreme heat events caused by climate change have seriously threatened the sustainable human-environment system development. It has become the frontier of integrated geography to scientifically assess the comprehensive impact of heat waves on the urban system and to provide stakeholders with decision support services to cope with extreme heat. This study constructed an "exposure-susceptibility-adaptive capacity" framework for urban heat vulnerability and an early warning index system based on the perspective of the human-environment system. We then proposed key early warning technologies, including an urban heat index model, multi-subject adaptive capacity coupling technology, and a multi-group vulnerability assessment criteria library. Taking urban diversified groups and urban administrators as the service target, we designed the urban heat vulnerability early warning system. The system mainly comprises a mobile application that provides users with an interactive interface, and a dedicated management backend. The mobile application has four main functions: Urban heat index forecast, Crowd heat vulnerability risk warning service, Outdoor work guidance service, and Public facility-assisted adaptation and decision support menu. The layer data and the warning message are mainly handled by the dedicated management backend. The system provides hourly location-based heat vulnerability warnings and targeted healthy living tips for tourists, the elderly, children, and people with heat-sensitive conditions. Additionally, the system can provide a scientific basis for communities to improve their adaptive capacity to heat waves. As a pilot, the system was deployed in Xiamen City to provide personalized support services for healthy living in hot weather to residents and communities. In September 2021, the "Urban Heat Index" module was officially launched on the "Zhi Tian Qi" public meteorological service platform of the Fujian Province. The research perspective and methodology, based on a multiscale vulnerability framework, provide an effective method to dynamically and finely characterize the impacts of extreme natural hazards. The research results support urban multi-stakeholders in managing production and life during hot weather and help authorities develop targeted disaster prevention and mitigation plans for specific areas. Moreover, the findings provide a scientific reference for planning departments to improve and optimize the spatial allocation of emergency resources.

Metal wire mesh porous materials are kinds of porous materials with the controllable pores, high specific surface area, high strength, and low cost, which have been widely used in the filtration separation fields of high temperature flue gas and slurry oil, because of the high permeability and high filtration precision. Furthermore, due to the high specific surface area, open pore structure, high porosity, high strength, and adjustable graded pore size, the metal wire mesh porous materials have been paid attention in the fields of photocatalysis, combustion engine emission abatement systems, efficient heat transfer, and explosion suppression. The structure and preparation methods of metal wire mesh porous materials were briefly introduced in this paper, the application progress on the fields of filtration separation, catalysis, efficient heat transfer, and explosion suppression was emphatically summarized, and the application prospect and development direction were also proposed.

The sixth-generation mobile communications (6G) will usher in a new era of information technology that is characterized by “intelligence empowering all things and wisdom being self-generated”. Simultaneously, corresponding technological research has become a new trend in the mobile communication industry. In the context of large-scale commercialization of the fifth-generation mobile communications (5G) in China, it is of great significance to clarify the development needs, understand the development trend, and propose the development layout of 6G for accelerating the development of the digital economy and seizing the international competitive advantage in the future. This study summarizes the problems of 5G development that still need to be addressed by 6G, including insufficient application depth, inadequate demand coverage, and low return on investment. It points out some key application scenarios that urgently need 6G empowerment, and comprehensively reviews the strategic deployment of 6G in developed and major developing countries, clarifying major trends such as optimizing and upgrading traditional industries through 6G commercialization, achieving major breakthroughs in 6G key core technologies, and strengthening 6G network security to modernize the national security system. Currently, China’s development of 6G faces prominent challenges regarding research and development investment,technology standards, open ecology, network security, and privacy protection. Therefore, it is necessary to use the new national system to break through technological innovation barriers, enhance the formulation of 6G standards, deepen international cooperation on 6G to build an open and win-win global industrial ecosystem, and develop core 6G technologies to establish a secure and controllable technical system. This study is expected to provide theoretical inspirations and practical references for the development and innovative application of 6G technology in China.

LNG corrugated hoses have better flexible mechanical properties and compliance. However, due to the influence of its outline structure and the large heat transfer coefficient, large heat loss is caused during LNG transportation, with the transportation efficiency reduced. Therefore, the flow and heat transfer characteristics of LNG in the plain tube and the corrugated hoses with 5 types of different structural parameters were analyzed with the numerical simulation method. Meanwhile, the influence laws of the corrugation depth,corrugation pitch and Reynolds number on the heat transfer characteristics of the hoses were explored, and the heat transfer characteristics of the hoses were characterized with the thermal performance evaluation criterion(PEC). The results show that: The corrugated hoses have higher Nusselt number, greater friction coefficient and better heat transfer characteristics than the plain tubes. The Nusselt number in the corrugated hoses increases with the increase of Reynolds number, while the friction coefficient decreases with the increase of Reynolds number and becomes stable at high Reynolds number. Under the same Reynolds number, the Nusselt number of the corrugated hoses increases with the increase of the corrugation depth, but decreases with the increase of the corrugation pitch. Besides, the friction coefficient is proportional to the change of the corrugation depth and pitch, and the corrugation depth has the greatest influence. Generally, the research results could provide theoretical guidance for the engineering application and the structural optimization design of LNG cryogenic corrugated hoses.

Objective·To assess the effect of veno-arterial extracorporeal membrane oxygenation (VA-ECMO) treatment on the mortality rate of patients suffering from cardiogenic shock and cardiac arrest in hospital.Methods·A total of 19 patients with cardiogenic shock or cardiac arrest who were treated with VA-ECMO treatment in Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine from September 2017 to March 2022 were included in the retrospective study. Patients were divided into extracorporeal cardiopulmonary resuscitation (ECPR) group (n=9) and VA-ECMO for cardiogenic shock (E-CS) group (n=10) according to whether cardiac arrest had occurred. The general demographic data, clinical data, Sequential Organ Failure Assessment (SOFA) scores, postoperative complications and prognostic indicators of the two groups of patients were collected. Univariate and multivariate Cox proportional hazard regression analyses were used to evaluate the correlation between each covariate and hospital mortality.Results·Among the included patients, there were 15 males (78.9%), with an average age of 46.5 (34.5, 61.6) years. The incidence of postoperative complications was as follows: bleeding (47.4%), AKI (36.8%), infection (31.6%), limb ischemia (15.8%) and cerebrovascular accident (5.3%). The duration of VA-ECMO was 4.0 (2.0, 6.8) days, and the intensive care duration was 11.5 (5.8, 26.2) days; the ECMO withdrawal success rate was 63.2%, and the hospital mortality was 63.2%. The results of univariate Cox proportional hazard regression analysis showed that AKI (prior to VA-ECMO initiation), postoperative complications of infection and limb ischemia were correlated with the hospital mortality of patients (all P

The comparative experiments of 2A12/AZ31B dissimilar materials friction stir welding (FSW) and ultrasonic vibration assisted FSW (UVaFSW) were carried out. The grain structures of different parts in the weld nugget zone were characterized, and the influence of ultrasonic vibration on the grain structure evolution was analyzed. The results show that compared with the base materials, the grain sizes in the weld nugget zone (WNZ) of 2A12/AZ31B joints are obviously refined. The mode of dynamic recrystallization of grains in 2A12 Al side WNZ is the combined action of continuous dynamic recrystallization (CDRX) and geometric dynamic recrystallization (GDRX) mechanisms. The dynamic recrystallization of grains in AZ31B Mg side WNZ is the combined action of CDRX, GDRX and discontinuous dynamic recrystallization (DDRX) mechanisms. Applying ultrasonic vibration can promote the recrystallization degree of grains, especially in the middle and lower parts of Al side and the bottom of Mg side. The texture evolution results show that the strain of the material in Al side WNZ increases when ultrasonic vibration is applied, which indicates that ultrasonic vibration can promote the material flow in the WNZ. The texture strength of different areas on the Mg side decreases, which is due to the more complete recrystallization behavior of magnesium alloy grains when ultrasonic is applied, thus weakening the grain orientation.

A novel method for optimal design of hydrodynamic performance of bionic propeller with a deformable leading edge is proposed. Based on the bionics principle and method of parameterized modeling, the fore-fin concave-convex structure of humpback whales is applied to the propeller leading edge, the leading edge in the propeller to meet flow region according to the exponential decay curve and the standard sine curve smooth leading edge for similar humpback fins protuberant structure of concave and convex deformation, and the leading edge of concave and convex bionic propeller. The hydrodynamic performance, the cavitation performance, and the noise performance of the exponential decay bionic propeller and the sinusoidal function bionic propeller were simulated respectively. The propeller with a better performance is selected, and the simulation based design (SBD) technology is introduced into the optimization design of the new bionic propeller. The parameters controlling the shape of the exponential attenuation curve of the guide edge deformation are taken as optimization design variables, the torque of the parent propeller is taken as the constraint condition, the open water efficiency is selected as the objective function, and the optimization algorithm of Sobol and T-Search is adopted. A bionic propeller optimization system based on the exponential decay curve is constructed. The results show that the application of the concave and convex structure of the humpback whale fore-fin to the guide edge of the propeller improves the cavitation performance and noise performance of the propeller, but the improvement of the open water performance of the propeller is not particularly significant. It is verified that the hydrodynamic performance optimization design method of the bionic propeller established in this paper is effective and reliable, which provides a certain theoretical basis and technical guidance for the performance numerical calculation and configuration optimization design of the bionic propeller.

The controlled-type soft-switching technology based on critical conduction mode (CRM) is an effective way to achieve zero voltage switching (ZVS) of switches. However, the high reverse inductor current of the conventional constant boundary conduction mode (CBCM) method leads to high conduction losses. In this paper, the single-phase three-level neutral point clamped (3L-NPC) inverter is taken as an example for analysis, and a minimum reverse inductor current control is proposed. Firstly, the requirement for achieving ZVS of switches is quantitatively analyzed, and the model of the equivalent resonance circuit is built. Accordingly, the theoretical minimum reverse inductor current for achieving ZVS in the fundamental period is derived, which lowers the conduction losses of switches. Then, by establishing the power losses analysis model of the 3L-NPC inverter, the power losses of the proposed scheme and the conventional CBCM method are calculated and compared in detail. Finally, a 1 kW single-phase 3L-NPC inverter prototype is built, and experimental results verify that the proposed method features lower conduction losses than that of the CBCM method. The maximum efficiency of the 3L-NPC inverter is increased by 0.5 percentage point.

Traditional object detection algorithms require manual feature extraction when recognizing abnormal behavior of miners queuing, resulting in long detection time and low detection precision. The object detection algorithm based on convolutional neural networks has improved detection speed and precision. But its detection performance is difficult to guarantee in scenarios of obstruction, dimness, and uneven illumination. In order to solve the above problems, an improved YOLOv5s (HPI YOLOv5s) model is proposed. It is used for miner queue detection. The HPI-YOLOv5s model improves the path aggregation network (PANet) on the basis of the YOLOv5s model. By deleting a single input edge node and adding bidirectional crossing paths, a bidirectional cross feature pyramid network (BCrFPN) is constructed for multi-scale feature fusion. Considering the low robustness of label allocation strategies with manually set thresholds, a dynamic label allocation strategy (ATSS-PLUS) is proposed based on adaptive training sample selection (ATSS) to dynamically set thresholds. It can reasonably evaluate the quality of candidate samples and dynamically set thresholds for each real object, resulting in higher detection precision and robustness. The method calculates the intersection area between the face frame and the designated queue area using the half plane intersection method. The method compares the ratio of the intersection area to the face frame area with the set threshold to determine whether the miners are queuing in an orderly manner. The experimental results show that the HPI-YOLOv5s model has an accuracy improvement of 1.9%, a weight reduction of 32%, a parameter reduction of 6.9%, and a detection speed improvement of 7.8% compared to the YOLOv5s model. Moreover, it can more accurately recognize the queuing situation of miners in obstruction, dimness, and uneven illumination mine images.

Objective To analyze the concentration of galactomannan (GM) in bronchoalveolar lavage fluid (BALF) and its value in the diagnosis of COVID-19 related invasive pulmonary fungal infection(IPFI). Methods From 2022 to 2023, 41 patients with COVID-19 related IPFI confirmed, clinically diagnosed or to be diagnosed in the First Affiliated Hospital of Anhui Medical University were taken as the experimental group, and 42 patients with simple pneumonia were taken as the control group. Bronchoscopic alveolar lavage was performed in both groups, and the contents of GM in both BALF and serum were detected at the same time. The concentration difference and clinical diagnostic value of GM between the two groups of different specimens were analyzed, and ROC was used to evaluate the diagnostic efficacy. Results Compared with the control group, the experimental group had higher BALF GM concentrations [（2.27±1.78） ng/L vs (0.51±0.28) ng/L, t =6.329, P＜0.01) and serum GM concentrations [(1.57±0.56) ng/L vs (0.32±0.11) ng/L, t =14.190, P＜0.01＝. The optimal cut-off value for diagnosing IPFI with BALF was 1.82 ng/L, with sensitivity and specificity of 77.9% and 89.2%, respectively, and AUC of 0.92 (95%CI: 0.871-0.955). The optimal cut-off value for serum was 0.67 ng/L, with sensitivity and specificity of 64.9% and 92.2%, respectively, and AUC of 0.89 (95%CI: 0.854-0.925). However, the false positive rate of BALF was slightly higher than that of serum (10.8% vs 7.8%). Conclusion GM can be serve of as a good indicator for evaluating IPFI related to COVID-19. The GM detection in BALF has more clinical value in the diagnosis of IPFI than serum.

Objective To explore the risk factors for moderate and severe respiratory syncytial virus （RSV） infection in infants， and to establish and validate the predictive model. Methods Clinical data of 399 children with RSV infection were retrospectively analyzed， including 299 cases in the model group and 100 cases in the validation group. Univariate and multivariate Logistic regression analyses were used to screen the risk factors of moderate and severe RSV infection， and a clinical scoring model was established. Results In the model group （n = 299）， 48 children were classified with moderate to severe RSV infection and 251 cases of mild RSV infection. According to univariate and multivariate Logistic regression analyses， body weight， feeding history， wheezing， erythrocyte distribution width and hematocrit were the risk factors （all P < 0.05）， which were used to fit the joint diagnosis and establish the clinical scoring model. The area under the ROC curve （AUC） of clinical scoring model was 0.777 （95%CI 0.703-0.853）， the diagnostic cutoff value was 1.365， the sensitivity was 0.829 and the specificity was 0.604， respectively. The internal validation results showed that the model had high consistency. Conclusion A clinical scoring model for predicting moderate and severe RSV infection is established， which has certain accuracy.

ObjectiveTo construct an evaluation index system for the development of district-level disease prevention and control centers according to the requirements of the modernization of Shanghai’s disease control system and public health work practices， and to comprehensively assess the construction and development of district-level disease prevention and control institutions.MethodsAccording to the national and municipal requirements for the development of disease prevention and control institutions， an index framework was proposed through literature search and expert interviews. 39 representative experts in the field of public health at the national， provincial， and municipal （district） levels were selected to participate in the consultation and construction of the index system. The authority coefficient， the coefficient of variation， etc. were used to carry out quality control and determination of each index on the Delphi method.ResultsThe questionnaire response rate was 100%， the expert authority coefficient was 0.86，the degree of familiarity was 0.79， and the judgment basis was 0.92. The coefficients of variation of the necessary indicators in the index system were all

Objective: To investigate the incidence, mortality and survival of small intestine cancer in Shanghai from 2002 to 2016. Methods: Data of new small intestine cancer cases and deaths from 2002 to 2016 were obtained from the population-based cancer registry and Vital Statistics System of Shanghai Municipal Center for Disease Control and Prevention. The incidence and mortality of small intestine cancer stratified by year of diagnosis or death, gender and age-group were analyzed. Cases or deaths, proportion, crude rate, age-specific rate, age-standardized rate and others were calculated. Trends of cases or deaths, crude rate, age-specific rate and age-standardized rate of incidence and mortality with follow-up information were estimated. The annual percent change (APC) of age-standardized rates of incidence and mortality was estimated by Joinpoint analysis. The new cases and proportions with selected diagnostic character of small intestine cancer in different diagnosis years were also calculated. Age-standardized rates were calculated using Segi’s 1960 world standard population. The 1- to 5-year observed survival rates were calculated based on the life table. The probabilities of surviving from 0 to 99 years old were estimated according to the Elandt-Johnson model, and then the cumulative expected survival rates were calculated according to the Ederer Ⅱ method. Finally, the 1- to 5-year relative survival rates were calculated. Results: The age-standardized rates of incidence and mortality of small intestine cancer were stable in Shanghai from 2002 to 2016. The new average cases and deaths of small intestine cancer were 280 and 174 per year in Shanghai. The crude rate of incidence was 2.02/105, and the age-standardized rate was 0.96/105. The crude rate of mortality was 1.25/105, and the age-standardized rate was 0.54/105. The age-standardized rates of incidence and mortality in males were higher than those in females. The age-specific cases or deaths and rates of incidence and mortality increased with aging. Duodenum cancer was the dominant anatomical site. Adenocarcinoma was the most histopathological type, and the proportion of gastrointestinal stromal tumors was increasing. The 5-year observed survival rate of small intestine cancer diagnosed from 2002 to 2013 was 36.34% in Shanghai, and the 5-year relative survival rate was 39.98%. All survival rates of male were lower than those of female. The 5-year observed and relative survival rates were stable. And those decreased with the increase of diagnostic years and stages. Relative to other sites, the rates of the duodenum cancer were the lowest. Relative to other histopathological types, those of gastrointestinal stromal tumors were the highest. Conclusions: The diagnostic level of small intestine cancer has been improved in Shanghai, continuously. But the survival rates have not been improved with the times. The proportion of stage Ⅰ was low and without improvement for a long time. This study provides useful information to further research, control and prevention of small intestine cancer. Improvement of the surveillance and research on small intestine cancer will help to promote more efficient control and prevention strategies then decrease cancer burden.

Objective To evaluate the effect of glandular involvement and persistent human papillomavirus（HPV） infection upon the recurrence of high-grade squamous intraepithelial lesion（HSIL） of the cervix， aiming to provide evidence for postoperative clinical management. Methods Clinical data of 596 HSIL patients who underwent cold-knife conization were collected， including 240 cases of glandular involvement（glandular involvement group） and 356 cases of non-glandular involvement（non-glandular involvement group）. The recurrence of HSIL at postoperative 2 years was considered as the end point. The differences between recurrent and non-recurrent patients were compared. According to glandular involvement and HPV-16 infection， patients were divided into the glandular involvement+HPV-16 infection， glandular involvement alone， HPV-16 infection alone and non-glandular involvement+non-HPV-16 infection groups， respectively. The differences in the recurrence rate of HSIL were compared among four groups. Results Among 596 HSIL patients， 75 cases recurred（12.6%）. HPV-16 infection rate in the glandular involvement group was 67.9%， significantly higher than 23.0% in the non-glandular involvement group， and the difference was statistically significant（P < 0.05）. In univariate analysis， the proportion of≥45 years old， glandular involvement and persistent HPV-16 infection were not significantly correlated with the recurrence of HSIL（all P > 0.05）. The recurrence rates of HSIL were 33.8%， 10.9%， 8.5% and 9.7% in the glandular involvement+HPV-16 infection， glandular involvement alone， HPV-16 infection alone and non-glandular involvement+non-HPV-16 infection groups， respectively. The recurrence rate of HSIL in patients with glandular involvement+HPV-16 infection was significantly higher than that in other three groups， and the difference was statistically significant（all P < 0.017）. Conclusions HSIL patients with glandular involvement and persistent HPV-16 infection are prone to relapse after cervical cold-knife conization. For these patients， active surgical regimen should be adopted and postoperative follow-up should be strengthened.

Continuous learning aims at continuously learn multiple tasks, and can use the knowledge of previous tasks to help the learning of current task without catastrophic forgetting. Progressive neural network is a parameter-independent continuous learning method, gradually assigning extra networks to each task to improve the performance of continuous learning. However, this method can not directly take advantage of similarity influence between tasks. In the continuous learning process, by comparing the similarity between tasks, the performance of current task may be significantly improved by using this to trim and migrate the parameters of previous task. Therefore, a task-similarity guided progressive deep neural network (TSGPNN) and its learning method are proposed, which include two stages: task-similarity evaluation and progressive learning. In the task-similarity evaluation stage, a reference quantity is defined to measure the similarity between target task domains, and served as a reference for the knowledge transfer between tasks. The progressive process improves the ability to learn new tasks by absorbing the knowledge from previous tasks and relearning. After performing task segmentation on CIFAR-100, MNIST-Permutation and MNIST-Rotation datasets, experimental results show that TSGPNN performance is better and more stable than one-task learning, multi-task learning, and other continuous learning methods.

There are many kinds of rare skin diseases, but the research into the diagnosis and treatment of rare skin diseases is relatively scarce. In recent years, the rare skin diseases team has made a series of accomplishments, including establishing the professional committee of Rare Skin Disease Committee of China Alliance for Rare Diseases, establishing China's first Medical Care Alliance for Rare Skin Diseases, launching two national collaborative projects, promoting the project of improving the diagnosis and treatment of rare diseases supported by the Central Special Lottery public welfare Fund, exploring the multidisciplinary diagnosis and treatment model of skin rare diseases, holding academic conferences, and compiling professional books on rare skin diseases. In the future, we will further improve the remote consultation model of rare skin diseases, develop artificial intelligence assisted diagnosis system of rare skin diseases, carry out high-quality clinical research, and improve the overall diagnosis and treatment level of rare skin diseases in China, for the sake of benefiting more patients.

Rare diseases are characterized by extremely low incidence rate and small number of patients in total. The drugs used to treat rare diseases are called orphan drugs. Currently, 450 kinds of rare skin diseases have been identified, most of which lack in effective treatments. Supported by the policy-making from the country and pushed by all sectors of the society, drugs for rare skin diseases have been emerging continuously recently in China. This paper reviews the current accessibility of the orphan drugs for skin rare diseases that have been approved in China and in other countries and regions for a better understanding of rare dermatosis and orphan drugs for the diseases.

Common computing environment is a new generation of naval ship operation system integration environment, which has the advantages of unified architecture, resource sharing, scalability and so on. It is the development direction of future naval ship electronic equipment. The essence of public computing environment is cloud environment. The completion time and load balancing of task scheduling have an important impact on the overall performance of public computing environment. Aiming at optimizing the completion time and load balancing, a task scheduling algorithm based on improved ant colony optimization algorithm is designed to solve the two main problems, and the load correction coefficient is proposed. Then the fast non-dominated sorting method in non-dominated Genetic Algorithms-Ⅱ (NSGA-Ⅱ) is combined to perform multi-objective optimization, and the Pareto front of the optimal solution is generated. CloudSim platform is used for simulation. The experimental results show that the proposed ant colony optimization for completion time and load balancing (TL-ACO) has better performance than NSGA-Ⅱ in terms of load balancing and completion time goals.

BackgroundLower hybrid current drive (LHCD) is one of the main auxiliary heating and current driving methods for Tokamak, and studies have shown that the boundary parasitics effect of lower hybrid (LH) wave in scrap-off layer (SOL) significantly decreases current drive efficiency of LH wave. Among these, wave scattering caused by density fluctuation at the boundary results in spectral changes within the SOL, which changes the power deposition location and current drive efficiency.PurposeThis study aims to explore the lower hybrid scattering caused by density fluctuation in the scrap-off layer on the Experimental Advanced Superconducting Tokamak (EAST) device.MethodsBased on the cold plasma dispersion theory and the blob density fluctuation theory, COMSOL Multiphysics was employed to establish a full-wave solution model of lower hybrid scattering in the SOL. Based on the parameters of the EAST device, the influence of low-frequency electron density fluctuation with different characteristics on wave scattering was analyzed.ResultsThe simulation results show that the backscattering direction caused by the density wave packet "blob" is more obvious than the forward scattering, and scattering induced by blob leads to the change of spatial structure of low hybrid power flow. The density fluctuation in the blob mainly affects the amplitude of the wave field disturbance, the radius of the blob mainly affects the spatial range of the wave scattering, the full-field disturbance caused by multiple blobs increases significantly.ConclusionsThe full-wave solution model of the SOL established in this study is reliable. The simulation results using this model show that the density fluctuation will cause lower hybrid scattering, which will change the spatial structure of the power flow.

Coal gangue has been the biggest industrial solid waste discharged in our country, with the cumulative stockpile of more than 7 billion tons. The accumulation and discharge of coal gangue occupy a large amount of land, pollute the soil, air and water, and has caused a great ecological environment impact. Currently, the comprehensive utilization of coal gangue in our country has the characteristics of low utilization rate, single product, poor performance, and difficult compatibility between large-scale and high added value. The scale and ability of existing coal gangue harmless and comprehensive utilization of resource can not meet the country's practical requirement for the ecological environment protection and "double carbon" target on carbon emission reduction. In order to promote the development of comprehensive utilization technology of coal gangue, in this paper, the composition and physical and chemical characteristics of coal gangue were described, and the application status of coal gangue resource in the field of building materials was discussed including coal gangue making cement, concrete aggregate and wall materials. Secondly, the influence of coal gangue on ecological environment was analyzed from the aspects of heavy metal leaching, dust and gas pollution. Finally, on this basis, the innovative strategies of collaborative complementation and two-stage iterative utilization of coal gangue as well as some suggestions and prospects were put forward.

In order to study the micro pore structure and fractal characteristics of Zhiluo Formation sandstone aquifer in Binchang Mining Area, the characterization parameters, such as pore size, perimeter, area and morphological characteristics of sandstone surface at different depths, are obtained by scanning electron microscope（ＳＥＭ）. At the same time, the fractal dimension and morphological characteristics of sandstone aquifer pore structure are deeply analyzed combined with fractal theory. The results show that the pores of the sandstone aquifer of Zhiluo Formation in Binchang Mining Area are developed and diverse, and the pore space is composed of four pore types: macropore, mesopore, small hole and micropore. The mesopores and macropores account for a large proportion of the total pore area and are the main water storage space of Zhiluo Formation sandstone aquifer. According to the pore perimeter and area extracted from sandstone samples, it is found that the fractal dimension of sandstone pores is large, the pore distribution is uneven, and the pore morphology is complex.

Cardiovascular disease is the leading cause of human mortality worldwide. Autophagy, a highly conserved metabolic pathway in which organelles and macromolecules are degraded by lysosomes and recycled, is essential for maintaining cardiovascular homeostasis and function, but excessive or insufficient autophagy could result in cardiovascular disease. A growing body of research has demonstrated that exercise is a critical component in preventing onset and improving the prognosis of cardiovascular disease. Exercise regulates autophagy bidirectional and dynamically. In cardiovascular disease caused by excessive or insufficient autophagy, exercise can restore autophagy level and function, delaying the progression of the disease, and improving ventricular remodeling. We reviewed the main mechanisms of autophagy and signaling pathways, as well as the beneficial effect of exercise-induced autophagy on prognosis of cardiovascular disease, and summarized that the mechanism of exercise regulating autophagy in cardiovascular diseases is beneficial to improving prognosis and reducing the incidence of cardiovascular events, but the mechanism for prognosis improvement is still not fully elaborated and needs further study.

Fabry disease is an X-linked lysosomal storage disease, and its pathogenesis is the deficient of α-galactosidase A (α-Gal A) activity caused by GLA mutation, which leads to accumulation of the glycosphingolipid globotriaosylceramide (Gb-3) and other glycosphingolipids in the lysosome of cells, resulting in the dysfunction of relevant tissues and organs. We report the clinical characteristics of a case of Fabry disease with dermatomyositis. The patient, a 61-year-old male, presented with intermittent amaurosis, limb weakness and dyspnea on exertion. Based on the low α-Gal A activity and positive anti-myositis antibodies, diagnosis of Fabry disease with dermatomyositis were confirmed. We reviewed the relevant literature and found that co-existence of Fabry disease and autoimmune diseases was very rare, but it is not rare for patients with Fabry disease to have some autoimmune antibody positive, suggesting that Fabry disease and autoimmune diseases may be related in pathogenesis.

The composition and change of the microbial community during the fourth round of heap fermentation of Jiang-flavor baijiu were explored using traditional culture-dependent approaches and high-throughput sequencing, and flavor compounds from fermented grains were analyzed by gas chromatography. The correlation among physicochemical parameters, flavor compounds and the microbial community was also analyzed. The results showed that the dominant bacteria were Bacillus amyloliquefaciens, B. licheniformis, uncultured Kroppenstedtia sp., K. eburnea, Sphingobium yanoikuyae and Lactobacillus sp., and the dominant fungi were Pichia kudriavzevii, Kazachstania humilis, Thermomyces languginosus, Byssochlamys spectabilis, Zygosaccharomyces parabilii and Aspergillus sp. The microbial community had a complex relationship with physicochemical parameters and flavor compounds. The water content was positively correlated with yeasts like P. kudriavzevii, negatively correlated with filamentous fungi such as T. lanuginosus, B. spectabilis and A. costiformis, while the starch and reducing sugar contents were positively correlated with Bacillus sp., and negatively correlated with P. kudriavzevii. Meanwhile, yeasts were positively correlated with alcohols such as propanol, isobutanol, isoamyl alcohol and β-phenylethanol (P < 0.01), while filamentous fungi and bacteria were positively correlated with acids and esters, such as acetic acid, propionic acid, isobutyric acid, ethyl lactate, ethyl oleate and butyl caproate (P < 0.01). This study may provide a theoretical basis for further clarifying the mechanism of heap fermentation of Jiang-flavor baijiu.

【Objective】 Bioavailable water and nutrients to crops depend not only on root architecture but also on how water and nitrogen fertilizer are applied. In this paper, we investigated the effects of irrigation and fertilization on water and nitrogen dynamics in soil of a winter wheat field under border irrigation. 【Method】 The experiment was conducted in a wheat field in Henan province, where changes in water and nitrogen in soil under border irrigation were measured. These data were used to validate the HYDRUS-1D model, and the validated model was then used to elucidate how a change in irrigation and fertilization modulates water and nitrogen dynamics in the root zone of wheat under border irrigation. 【Result】 The HYDRUS-1D model simulated water and nitrogen dynamics in the root zone well. The coefficient of determination (R2) between the simulated and measured data was greater than 0.84, with its associated RMSE and MAE less than 0.807 and 0.695, respectively. Increasing the low critical soil water content for resuming irrigation moved nitrate in the top 0~20 cm soil layer to 20~100 cm soil layer 1~2 days after the irrigation, but it did not show significant effects on ammonium dynamics in the soil. Increasing nitrogen fertilization increased nitrate and ammonium nitrogen in the 0~60 cm soil layer significantly, especially in the 0~40 cm soil, but reduced water content in the 0~40 cm soil layer. 【Conclusion】 The HYDRUS-1D model is able to simulate water and nitrogen movement in soil under border irrigation, and the simulated results can help to improve irrigation and fertilization management for wheat production in the studied and similar areas.

Taking Huangtukeng Coal Mine in Fujian Province as the research object, using network parallel electrical method technology, this paper expounds Levenberg Marquardt inversion principle and model construction from the perspective of three-dimensional detection data processing, and implements resistivity data inversion by introducing smooth constraint model and adaptive adjustment of damping factor, thus, the spatial distribution of apparent resistivity in different depth detection abnormal areas under the floor of the coal mining face are obtained. The results show that there are six relatively low resistivity anomaly areas in the detection area, and the water-richness is half strong and half weak, among which Dz1, Dz2 and Dz6 are weak; Dz3, Dz4 and Dz5 are strong, showing the characteristics of the water-richness of stronger in shallow than in deep, stronger in the north and weaker in the south, which is consistent with the drilling verification results and has high reliability.

Parkinson's disease (PD) is a chronic progressive neurodegenerative disease. Signal transducer and activator of transcription 3 (STAT3) is involved in the development and progression of PD, oxidative stress, neuro-inflammatory response, abnormal α-synuclein aggregation, mitochondrial dysfunction and iron death, so they are expected to be a new therapeutic targets and provide new research ideas for the treatment of PD.

在智能电网与新能源发电融合背景下, 电力电子接口装置的大量使用将给系统引入额外的直流偏置。因此, 电网电压信息获取算法的直流偏置抑制能力变得至关重要。二阶广义积分器锁相环(SOGI-PLL)广泛应用于电网信息的同步与提取, 可以有效抑制频率波动和相位跳变对电网状态估计精度的影响, 但其自适应频率反馈环节在实现谐波抑制的同时, 对于电网中含有的直流偏置非常敏感。针对这一问题, 提出了一种固定频率反馈的级联SOGI-PLL(FFCD-SOGI-PLL), 使用级联结构输入固定电网标称频率, 实现信号直流分量滤除, 增强了谐波抑制性能。通过小信号模型给出其稳定性分析和参数设计方法。实验结果表明, 在电网电压含有直流分量、谐波以及电网电压跌落时, 设计的FFCD-SOGI-PLL可以快速稳定地对电网电压状态信息进行精确估计。

Fissile material dissolved in the molten salt is employed in molten salt reactor(MSR), which circulates through the primary loop. Considering the flow characteristic of fuel in MSR, the neutron poison calculation model such as Xe is different from traditional solid reactor. As an important neutron poison, 135Xe is free to migrate with the flow of molten salt in MSR. The helium bubble system of molten salt reactor can blow the fission products of krypton, xenon and other gases out of the reactor core to improve the neutron economy. The recent TENDL2021 nuclear data library estimates the thermal neutron absorption cross section of 135Xem, which is much higher than 135Xe thermal neutron absorption cross section. In order to predict the effect of xenon on core reactivity more accurately, the effect of 135Xem thermal neutron absorption cross section was added into the Xe poison model based on the lumped volume method. The migration model is made up of cover gas calculation model and xenon worth calculation model. In order to calculate the xenon worth, the loop void fraction was calculated firstly, and the loop void fraction was inserted into the xenon worth calculation model. According to the rate balance equations and mass transfer equations, the concentration of xenon in loop could be calculated to compute the xenon worth. Firstly, the model results considering the flow effect of fuel salt were verified with the experimental results of 8 MW molten salt reactor experiment (MSRE). As the results shown, with the increase of loop void fraction, the steadystate xenon worth increases first and decreases later, which is in good agreement with experimental results of MSRE. Then the influence of fuel salt types and 135Xem on steadystate xenon worth was considered in this paper. The steadystate xenon worth of the 233U system with and without 135Xem is made and compared to a 235U system, indicating that the influence of 135Xem on xenon worth cannot be ignored, which is much higher with the increase of power. Finally, the contribution of graphite, fuel salt and helium bubble to Xe worth was evaluated by the interaction between graphite and helium bubble, indicating that the interaction between helium bubble and graphite cannot be ignored.

Objective To investigate the effects of naringin (Nar) on lipopolysaccharide (LPS)-induced depression-like behaviors in mice. Methods Thirty C57BL/6 male mice (8 weeks old, SPF grade, weighting 20~23 g) were randomly divided into 3 groups (n=10): control group, saline (Sal)+LPS group, and Nar+LPS group. The mice of the last group were pretreated with Nar (80 mg/kg, i.p., once a day for 8 consecutive days). The exploratory behavior and anxiety-like behavior in mice were assessed by open field test, light and dark box experiment and elevated plus maze test. Sugar water preference test, hanging tail test and forced swimming test were used to evaluate the depression-like behaviors of the mice. Immunohistochemical assay for Iba1 was adopted to detect the effects of Nar and LPS treatments on the number of microglia in the hippocampus of mice. Western blotting and qRT-PCR were performed to determine the protein expression of NF-κB and the mRNA levels of IL-1β, TNF-α and NF-κB in mouse hippocampus, respectively. Results As compared with the control group, the mice in the Sal+LPS group showed decreased preference for sugar water (P < 0.05), and increased immobile time in the forced swimming test (P < 0.01) as well as in the hanging tail test (P < 0.05). The number of microglia in the hippocampus was elevated (P < 0.01), the protein level of NF-κB and the mRNA levels of IL-1β, TNF-α and NF-κB were also up-regulated (P < 0.05). When compared with the Sal+LPS group, the mice in the Nar+LPS group presented increased preference for sugar water (P < 0.01), and decreased immobility time in the forced swimming test (P < 0.01) and hanging tail test (P < 0.05), with higher number of microglia in the hippocampus (P < 0.01), and lower protein levels of NF-κB and mRNA levels of IL-1β, TNF-α and NF-κB (P < 0.01). Conclusion Nar may ameliorate LPS-induced depression-like behaviors in mice by inhibiting inflammation in the hippocampus.

To improve the transmission line status evaluation accuracy， the paper proposes a transmission line status portrait and assessment model based on clustering and later regression. Firstly， the self-organizing neural network （SONN） is designed to reduce the dimensionality of the original data of the transmission lines and to adaptively extract several types of representative feature information without manual feature extraction and selection of the number of clusters based on subjective experience. Secondly， the representative data is fed into the LSTM （long short-term memory） networks. The networks combine forward learning and reverse learning to conduct bidirectional training， evaluate the model， establish the nonlinear mapping relationship between the core data and the transmission line state， and improve the evaluation accuracy of the state of the transmission line in the power grid scenario. The experimental results show that the model proposed in this paper has achieved good evaluation results on the actual data set； specifically， it is superior to conventional support vector machine， artificial neural network， sparse automatic encoding machine， and other methods in evaluation accuracy.

This article gives a review on the application status and clinical effect of behavioral activation （BA） therapy for patients with late-life depression， in which the theoretical content， research status and the characteristics of clinical application of BA therapy for patients with late-life depression were introduced， and the existing limitations and possible directions for future research were summarized， so as to provide references for the localization of BA therapy for patients with late-life depression.

The sorting reliability of the gangue sorting robot is closely related to coal quality and sorting efficiency. It is necessary to study the sorting reliability of the sorting robot system. The existing reliability research of robot system mainly focuses on the structural reliability. There is no research on the task reliability of robot system, namely sorting reliability. In order to solve this problem, taking the cable-driven gangue sorting robot system as the research object, the sorting reliability is studied by fault tree analysis. Firstly, based on the structure of the gangue sorting robot system, the reasons for the sorting failure of the gangue sorting robot system are analyzed. The deductive method is used to construct the sorting fault tree of the gangue sorting robot system. Secondly, the occurrence probability of the bottom event of the fault tree is considered as an interval variable. The probability interval parameter of the top event of the sorting fault tree is obtained according to the interval property, the algorithm and the probability expression of the top event. According to the design requirements, the non-probabilistic reliability index which reflects the sorting reliability of the gangue sorting robot system is calculated. Finally, based on the formula of the non-probabilistic reliability index and the definition of fuzzy importance, an interval importance index is proposed. The interval importance of the events at the bottom of the sorting fault tree is solved and ranked. The results show that the sorting reliability can meet the requirements of sorting reliability of the gangue sorting robot. The increase of instantaneous gangue content in coal gangue flow and the failure of the industrial camera are important factors affecting the sorting reliability. According to the calculation result of the non-probability reliability index and the ranking of interval importance, the weak link of the gangue sorting robot system is found. Three improvement measures are proposed for the weak link. It is suggested to shake and mix the coal gangue flow before sorting. According to the identified gangue information, it is suggested to intelligently control the belt speed of the belt conveyor. It is suggested to add spare industrial camera in the gangue sorting robot system.