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Intensive care unit-acquired weakness (ICU-AW) is prevalent in critical care, with limited treatment options. Certain microRNAs, like miR-542, are highly expressed in ICU-AW patients. This study investigates the regulatory role and mechanisms of miR-542 in ICU-AW and explores the clinical potential of miR-542 inhibitors. ICU-AW models were established in C57BL/6 mice through cecal ligation and puncture (CLP) and in mouse C2C12 myoblasts through TNF-α treatment. In vivo experiments demonstrated decreased muscle strength, muscle fiber atrophy, widened intercellular spaces, and increased miR-542-3p/5p expression in ICU-AW mice model. In vitro experiments indicated suppressed ATG5, ATG7 and LC3II/I, elevated MDA and ROS levels, decreased SOD levels, and reduced MMP in the model group. Similar to animal experiments, the expression of miR-542-3p/5p was upregulated. Gel electrophoresis explored the binding of polyethyleneimine/mesoporous silica nanoparticles (PEI/MMNs) to locked nucleic acid (LNA) miR-542 inhibitor (LNA-542). PEI/MMNs@LNA-542 with positive charge (3.03 ± 0.363 mV) and narrow size (206.94 ± 6.19 nm) were characterized. Immunofluorescence indicated significant internalization with no apparent cytotoxicity. Biological activity, examined through intraperitoneal injection, showed that PEI/MMNs@LNA-542 alleviated muscle strength decline, restored fiber damage, and recovered mitochondrial injury in mice. In conclusion, PEI/MMNs nanoparticles effectively delivered LNA-542, targeting ATG5 to inhibit autophagy and alleviate mitochondrial damage, thereby improving ICU-AW.

Cluster division can effectively solve the problem of massive data analysis and a large number of equipment regulation caused by large-scale access of new energy to the distribution network. However, existing research on cluster partitioning algorithms exhibits low accuracy and may yield unreasonable outcomes. In order to solve the above problems, factors that should be considered in the cluster division strategy of distribution network are described when a large number of distributed power sources are connected, and the scale limit index is designed accordingly. By studying the process of genetic algorithm, the reason why genetic algorithm shows poor global optimization ability is found out, and then the algorithm is enhanced. Simulation results demonstrate that the proposed scale limit index successfully avoids unreasonable partitioning outcomes. The proposed improved genetic algorithm greatly improves the accuracy of the algorithm. Because the genetic algorithm has no convergence criterion, the reduction of the number of iterations can not directly reduce the experiment time. In summary, the research effectively improve the accuracy of genetic algorithm and enhance the efficiency of cluster division in distributed network.

Tic disorder is a common neurodevelopmental disorder disease in children， with a high prevalence and different clinical manifestations among individuals. It is frequently complicated with other neuropsychiatric diseases， which brings significant burden to psychological and physical health of patients. At present， the etiology of tic disorder remains unclear， which is probably associated with genetic， immune， environmental and psychological factors， etc. The pathological mechanism involves cortico-striatum-thalamic-cortical pathway disorders and neurotransmitter abnormalities. Iron has an extremely important biological function in the developmental process of nervous system. Studies have found that iron deficiency may lead to brain development disorder and dopaminergic dysfunction， thereby causing the incidence and progression of tic disorder. Improving the nutritional status of iron through iron supplementation may become a new idea for the prevention and treatment of children with tic disorder.

To examine physical activity (PA) of post-percutaneous coronary intervention (PCI) patients and explore the demographic, clinical, and social psychological characteristics associated with PA levels.

Coexisting or mixed type of colorectal tumors has been rarely reported. This study was designed to investigate clinicopathological characteristics of co-existing or mixed colorectal adenocarcinoma and highly differentiated neuroendocrine tumor (NET-G1). To do that, clinicopathological characteristics of five cases of co-existing or mixed colorectal adenocarcinoma and NET-G1 admitted to our institution between 2017 and 2021 were retrospectively analyzed and literature review was conducted. Four patients were male and one female, aged 62–75 years old. Among them, four cases were diagnosed with rectal cancer and one case of colon cancer. Gross examination found that one patient was diagnosed with multiple colon polyps including three malignant polyps, and the remaining four cases of ulcerous masses. The tumors infiltrated into the muscle layer in two cases, and three cases with tumors infiltrating into surrounding adipose tissues. Microscopic examination revealed one patient developed poorly differentiated adenocarcinoma and four cases of moderately differentiated adenocarcinoma. Four patients had adenocarcinoma and NET-G1 in colon, and one case of adenocarcinoma in colon and NET-G1 in appendix. To conclude, co-existing or mixed colorectal tumors are extremely rare in clinical settings. Clinicopathological characteristics of five cases of co-existing or mixed adenocarcinoma and NET-G1 are diverse and adenocarcinoma is more aggressive in most affected patients.

Pulmonary alveolar proteinosis (PAP) is a rare lung disease characterized by the accumulation of large amounts of phospholipid protein-like surfactant material in the alveolar spaces, leading to severe hypoxemia and respiratory failure. The disease has an insidious onset and is difficult to diagnose in the early stages. Its clinical manifestations primarily include progressive dyspnea and coughing. Currently, whole lung lavage (WLL) is the preferred and effective treatment for PAP, as it improves alveolar ventilation function. Granulocyte colony-stimulating factor is used clinically in the treatment of a variety of disease. Nebulized granulocyte–macrophage colony-stimulating factor (GM-CSF) has a certain therapeutic effect on PAP. Here, we report a case of PAP treated with WLL combined with nebulized GM-CSF, which achieved good therapeutic effects during a 4-year follow-up period, to enhance understanding of the disease.

Objective To study the value of artificial intelligence (AI) systems and Thyroid Imaging Reporting and Data System (TI-RADS) in the diagnosis of benign and malignant thyroid tumors. Methods An AI system was developed, and a retrospective analysis was conducted on 500 patients who underwent thyroid surgery at Xuzhou Central Hospital from January 2020 to December 2021. Patient demographics, surgical information, AI grading indicators, TI-RADS classifications, and postoperative pathological findings were collected. The accuracy of AI and TI-RADS in predicting thyroid cancer was compared. Results Among the 500 patients, 390 were diagnosed with thyroid cancer and 110 were benign nodules. The AI achieved an accuracy of 88.5% in predicting thyroid cancer and 87.3% in predicting benign tumors, with an overall accuracy of 88.2%. The TI-RADS had a predictive accuracy of 80.3% for thyroid cancer and 80.9% for benign tumors, with an overall predictive accuracy of 80.4%. The AI group had higher accuracy rates for malignancy and overall prediction compared to the TI-RADS group (P＜0.05). The AI system had a higher accuracy rate for predicting papillary carcinoma compared to the TI-RADS (89.9% vs 81.2%, χ2=10.525，P＜0.05), while no statistically significant differences were found in predicting follicular carcinoma, medullary carcinoma, and undifferentiated carcinoma compared to TI-RADS (P＞0.05). Conclusion Both the AI system and TI-RADS have significant value in the diagnosis of thyroid cancer. The AI system demonstrates higher accuracy compared to the TI-RADS grading system, and similar results are observed in different subtypes of thyroid cancer.

[Purpose/Significance] This study examines the status of kindergarten reading instruction and activities in China, analyzes existing problems, and explores measures to address these problems in order to promote kindergarten reading. Over the years, early childhood reading education has been highly valued by the Chinese government. In particular, since the release of the "Thirteenth Five-Year Plan for National Reading" in 2016, relevant departments have successively promulgated a series of documents related to early childhood reading, including the "National Reading Promotion Regulation (Draft)" (2017), the "Outline of Children's Development in China" (2021), the "Plan for the Construction of the Public Cultural Service System in the Fourteenth Five-Year Plan" (2021), and the "National Youth Student Reading Action Implementation Plan" (2023). Early childhood reading literacy has long been highly valued by our country. [Method/Process] Using the literature review method, we conducted research on the status of kindergarten reading. The research content includes: kindergarten reading teaching, kindergarten reading activities, reading environment, reading methods, and reading modes. By applying the case analysis method, we refined and evaluated cases such as organizing reading festivals, stimulating reading interests, parent-child reading, cooperation with society, and picture book drama performances. [Results/Conclusions] The scientific nature of children's reading methods is crucial for the development of their reading skills, interests, and habits, and also contributes to the legitimate and rational promotion of reading. Kindergartens lack sufficient synthesis and refinement of reading instruction and activities. There are few well-planned and themed reading brands at the whole-school level with significant influence, and there are not many distinctive reading cases. Moreover, the cooperation between kindergardens and social forces is not deep enough. We propose the establishment of a kindergarten reading guidance organization, the issuance of kindergarten reading guidelines, the strengthening of the reading guidance function of the regional kindergarten alliance, the expansion of the kindergarten work of the reading promotion committee and the deepening of development initiatives to integrate kindergartens with social forces.

Bimaterial printing of 0.8%(volume fraction)BNNSs/TC4 ink and TC4 ink were carried out by direct ink writing (DIW) to build an inter-layered "interlocked" interface. Dense inter-layered "interlocked" laminated TC4-TiB/TC4 composites reinforced by TiB nanowires were obtained by combining DIW with fast hot pressed sintering (FHPS), and their mechanical properties were investigated. The results show that the inter-layered "interlocked" structure is successfully retained after sintering; the inter-layered "interlocked" laminated TC4-TiB/TC4 composites prepared by DIW have an improved strength (by 9.1% to 1206 MPa) while preserving the high toughness compare to the unconfigured 0.4%TiB/TC4 composites with uniform distribution of the reinforcement. The analysis shows that the inter-layered "interlocked" interface deflects the cracks significantly, hinders the crack expansion, and improves the overall material toughness, which provides ideas for forming complex and tough composite components.

Objective To summarize the incidence, degree and practical experience of symptom management of 232 patients with liver malignant tumors after ultrasound-guided radiofrequency ablation. Methods Totally 232 patients with liver malignant tumors were evaluated with the MD Anderson Symptom Inventory for Traditional Chinese Medicine (MDASI-TCM). The screened symptoms were systematically intervened and managed according to the established symptom management process, and the effect of intervention based on MDASI-TCM assessment was evaluated before discharge. Results The top five common symptoms of patients after radiofrequency ablation were pain (58. 19%), fatigue (51. 29%), nausea (47. 41%), sleep (42. 24%), distress (38. 79%). The degree of symptoms was mainly mild, which could interfere with the patients' life to a certain extent. After targeted symptom management intervention for patients undergoing radiofrequency ablation of liver tumor, the incidence and degree of symptoms and interference to life were significantly improved. Conclusion Evaluation of patients' symptoms and degree after ultrasound-guided liver radiofrequency ablation is helpful for medical staff to quickly and comprehensively grasp the general situation of patients, manage the symptoms in the whole process, and provide targeted health guidance, so as to improve the symptoms after ultrasound-guided radiofrequency ablation, decrease the disturbance of patients’ life, improve the quality of life of patients during perioperative period, and reduce the incidence of adverse reactions, It is conducive to the patient's recovery as soon as possible. (目的 总结232例肝脏恶性肿瘤患者行超声引导下射频消融术后常见症状的发生率、程度及症状管理的实践经验。方法 应用肿瘤常见症状及中医症状调查量表(MDASI-TCM)对科室2018年7月—2022年11月收治的232例肝脏恶性肿瘤患者在射频消融术后进行评估, 对筛查出的症状按照科室制订的症状管理流程系统地有针对性的进行干预和管理, 在出院前对患者再次采用MDASI-TCM进行症状管理的效果评价。结果 肝射频消融术后患者常见症状发生率前五位依次为疼痛(58. 19%)、疲乏(51. 29%)、恶心(47. 41%)、睡眠(42. 24%)、苦恼(38. 79%), 症状程度以轻度为主, 会对患者产生一定程度的生活干扰; 根据症状管理流程对肝脏肿瘤射频消融患者进行有针对性的症状管理干预后, 患者症状发生率、程度及对生活的干扰均明显改善。结论 超声引导下肝射频消融治疗后对患者症状及程度进行及时评估有利于医护人员快速、全面掌握患者一般状况, 对筛查出的症状进行规范的全程化管理, 并有针对性的进行健康指导, 能有效地改善患者术后症状, 减少对患者生活的干扰, 提高患者围手术期的生活质量, 降低不良反应的发生率, 有利于患者术后身体的尽快康复。)

Objective To discuss the preoperative application of arginine for inducing autophagy to alleviate postoperative liver damage in patients undergoing liver resection. Methods Out of 90 hepatocellular carcinoma （HCC） patients treated with liver resection in Xuzhou Central Hospital from January 2019 to December 2020, there were 30 patients with normal liver resection （control group） and 60 patients with preoperative application of arginine （experiment group）. In experiment group, continuous intravenous arginine infusion was given for 1 week in 30 cases （experiment group 1）, and intravenous infusion every other day was given in other 30 cases （experiment group 2）. Postoperative liver function was monitored, and western blot was used to detect changes in autophagy-related protein and apoptotic-related protein expressions. Length of hospital stay was recorded and compared. Results The values of liver function indicators in experiment groups were significantly lower than those in control group, and they were lower in experiment group 2 than those in experiment group 1（P＜0.05＝. The expressions of autophagy proteins in normal liver tissues of experiment group were higher than those in control group （P＜0.05＝, and there were no significant differences in them between experiment group 2 and experiment group 1（P＞0.05）. In experiment group, the expression of apoptosis protein in normal liver tissues was lower than that in control group, and it in experiment group 2 was superior to that in experiment group 1. HE staining showed that there were different degrees of liver cells necrosis and fatty degeneration in control group and experiment group, however, HE staining scores in experiment group 2 were lower than those in experiment group 1 and control group （P＜0.05＝. Length of hospital stay was （16.1±3.8） d in experiment group 1, （15.3±3.1） d in experiment group 2 and （18.0±2.8） d in control group （F=5.428, P＜0.01＝. The hospitalization time in two experiment groups were significantly shorter than that in control group （P＜0.05＝. Conclusion Preoperative application of arginine can induce the expression of autophagy protein, which can alleviate the liver injury in patients with liver resection to a certain degree. Moreover, the interval use of arginine before surgery shows better protective effect for liver function.

BackgroundBeing complex and highly heterogeneous with regard to the etiology and clinical manifestations of depression， neuroimaging studies make a breakthrough for exploring the biological subtypes of depression， while the current data-driven approach for the identification of subtyping depression using structural magnetic resonance imaging （MRI） data is insufficient.ObjectiveTo explore the biological subtypes of depression using diffusion tensor imaging （DTI） and machine learning methods.MethodsA total of 127 patients with depression who attended Beijing Anding Hospital from September 2017 to August 2021 and met the Diagnostic and Statistical Manual of Mental Disorders， fourth edition （DSM-IV） diagnostic criteria were included， and another 80 healthy individuals matched for gender and age were recruited through advertisements in surrounding communities during the same period. DTI findings， demographic characteristics and clinical data were collected from all participants. Tract-based spatial statistics （TBSS） and the Johns Hopkins University （JHU） white matter probability maps were used to extract fractional anisotropy （FA） values of white matter tracts. A semi-supervised machine learning technique was used to identify the subtypes， and the FA values for whole brain white matter of patients and controls were compared.ResultsPatients with depression were classified into two biological subtypes. FA values in multiple tracts including corpus callosum and corona radiata of subtype I patients were smaller than those of healthy controls （P0.05）， while subtype I patients scored lower on HAMD-17 than subtype II patients after 12 weeks of treatment （t=2.410， P

Semantic predictability is one of the important factors that influence word processing and recognition. Based on the SPaM paradigm (Self-paced reading + Masked priming), the present study explores the influence of semantic predictability on TL effects in Chinese and English. The findings show that in both languages, internal and final transpositions produce priming effect in low-predictability preceding and following contexts as well as in high-predictability following contexts. From the perspective of priming magnitude, internal transposition produces greater priming effect than final transposition in English, while in Chinese, final transposition produces greater priming effect than internal transposition. In high-predictability preceding contexts, internal and final transpositions reveal significant priming effect and initial transposition produces close-to-significant-level priming effect in English, while in Chinese, no significant priming effect is observed in initial, internal or final transpositions.

Under the situation of China’s economic development, the sustainability of innovative human capital flows on economic growth is closely related to the state of future economic growth. Based on the analysis of innovative human capital flows, the article measured the stock of human capital flows by combining the expenditure method and also measured the quality index of China’s sustainable economic growth by using the PPM-RAGA model. Based on the data from 30 provinces and cities in China from 2012 to 2022, a spatial econometric model was designed to analyze the impact mechanism of innovative human capital flows on China’s sustainable economic growth and a spatial autocorrelation test was carried out. There was a significant difference in the overall flow of innovative human capital from 2012 to 2022, and the quality index of sustainable economic growth increased from 1.812 to 2.137, with the quality index of sustainable economic growth increases from 1.812 to 2.137, with an increase of 17.94%. There is an obvious global spatial autocorrelation of sustainable economic growth, and every 1% increase in the flow of innovative human capital leads to 0.141% sustainable economic growth in China. The flow of innovative human capital not only promotes the economic growth of the region but also leads to knowledge and technology spillovers that promote the economic growth of neighboring regions.

ObjectiveThis study analysed blood donation deferral trends, reasons and demographic/lifestyle characteristics among students in Huzhou City. The aim was to understand the health status of students and reduce the deferral rate.MethodsData on blood donation deferral among students in Huzhou City from 2018 to 2022 were collected and analysed. Deferral trends and main reasons were investigated. Using demographic and lifestyle data from 2,619 cases in 2022, a risk prediction model for deferral was constructed.ResultsThe deferral rate among students in Huzhou City from 2018 to 2022 was 12.60% (p = 0.000, 95%CI: 12.14–13.06%), showing a significant increasing trend. Temporary deferral was the main reason, with alanine aminotransferase (ALT), blood pressure (BP) and haemoglobin (Hb) as the main deferral factors. ALT had a deferral rate of 5.23% (4.92–5.53%), BP 3.30% (3.06–3.55%), and Hb 2.92% (2.68–3.15%). Demographic and lifestyle characteristics in 2022 showed no significant differences between education level, household registration and deferral rate (p > 0.05). However, age, sex, blood donation history, sleep quality, diet and mental state had variable effects on ALT, BP, and Hb deferrals (p

Modern stealth application systems require integrated meta-devices to operate effectively and have gained significant attention recently. This research paper proposes a 1-bit coding metasurface (CM) design. The fundamental component of the proposed CM is integrated to convert linearly polarized incoming electromagnetic waves into their orthogonal counterpart within frequency bands of 12.37–13.03 GHz and 18.96–32.37 GHz, achieving a polarization conversion ratio exceeding 99%. Furthermore, it enables linear-to-circular polarization conversion from 11.80 to 12.29, 13.17 to 18.44, and 33.33 to 40.35 GHz. A second element is produced by rotating a fundamental component by 90°, introducing a phase difference of π (pi) between them. Both elements are arranged in an array using a random aperiodic coding sequence to create a 1-bit CM for reducing the radar cross-section (RCS). The planar structure achieved over 10 dB RCS reduction for polarized waves in the frequency bands of 13.1–13.8 GHz and 20.4–30.9 GHz. A prototype was fabricated and tested, with the experimental results showing a good agreement with the simulated outcomes. The proposed design holds potential applications in radar systems, reflector antennas, stealth technologies, and satellite communication.

Multifunctional integrated meta-devices are the demand of modern communication systems and are given a lot of attention nowadays. Most of the research has focused on either cross-polarization conversion (CPC) or linear-to-circular (LP–CP) conversion. However, simultaneously realizing multiple bands with good conversion efficiency remains crucial. This paper proposes a multiband and multifunctional dual reflective polarization converter surface capable of converting a linearly polarized (LP) wave into a circularly polarized (CP) wave, in frequency bands of 12.29–12.63 GHz, 16.08–24.16 GHz, 27.82–32.21 GHz, 33.75–38.74 GHz, and 39.70–39.79 GHz, with 3 dB axial ratio bandwidths of 2.7%, 40.15%, 14.6%, 13.76%, and 0.2%, respectively. Moreover, the converter is capable of achieving CPC with a polarization conversion ratio (PCR) that exceeds 95%, within the frequency ranges of 13.10–14.72 GHz, 25.43–26.00, 32.46–32.56 GHz, and 39.14–39.59 GHz. In addition, to identify the fundamental cause of the CPC and LP–CP conversion, a comprehensive theoretical investigation is provided. Furthermore, the surface current distribution patterns at different frequencies are investigated to analyze the conversion phenomena. A sample prototype consisting of 20 × 20 unit cells was fabricated and measured, verifying our design and the simulated results. The proposed structure has potential applications in satellite communications, radar, stealth technologies, and reflector antennas.

In order to address the problems that the current non-intrusive load decomposition model based on deep learning has limited ability to model the time-dependence of long-time power consumption information, and load decomposition using the same decomposition model for devices with different load characteristics results in errors beyond the desired level. This paper proposes a non-intrusive load decomposition model, involving CNN-LSTM-TPA decomposition model and the improved SVR-VB-STCKF model. Firstly, the CNN-LSTM decomposition model was enhanced in the time-dependent modeling capacity by the temporal pattern attention (TPA) mechanism, to capture the load characteristics of the original electricity consumption information and conduct preliminary load decomposition. Secondly, the support vector regression (SVR) was used to model the nonlinear state space of the target device and the cubature Kalman filter (CKF) algorithm was modified by the improved tracking technology and variational Bayesian to create a VB-STCKF model for secondary dynamic adjustment to the preliminary decomposition results. Finally, the proposed model was verified with the public datasets (REDD and UKDALE). The verification results indicate the proposed enhanced time-dependent modeling capacity of model and dynamic adjustment to the preliminary decomposition results are obviously effective for reducing decomposition errors.

At present, in chip design companies, sample verification is carried out for mass production chips. Most of the traditional sample verification methods design corresponding test equipment based on the characteristics of the chip, and then test the chip samples one by one through the test fixture. Different chips will design different test equipment. In this paper, an adaptive and synchronous test sample verification platform scheme is proposed, which can not only test multiple chips at the same time, but also test chips with different interfaces. It can not only test the reliability experiment, but also test other functions, which greatly saves the maintenance cost of test equipment and improves the test efficiency.

Epitaxially grown semiconductor quantum dots (QDs) and quantum rings (QRs) have been demonstrated to be excellent sources of single photons and entangled photon pairs enabling applications within quantum photonics. The emerging field of QD-based nanophotonics requires the deterministic integration of single or multiple QD structures into photonic architectures. However, the natural inhomogeneity and spatial randomness of self-assembled QDs limit their potential, and the reliable formation of homogeneous and ordered QDs during epitaxy still presents a challenge. Here, we demonstrate the fabrication of regular arrays of single III–V QDs and QRs using molecular beam epitaxy assisted by in situ direct laser interference patterning. Both droplet epitaxy (DE) GaAs/AlGaAs QDs and QRs and Stranski–Krastanov (SK) InAs/GaAs QDs are presented. The resulting QD structures exhibit high uniformity and good optical quality, in which a record-narrow photoluminescence linewidth of ∼17 meV from patterned GaAs QD arrays is achieved. Such QD and QR arrays fabricated through this novel optical technique constitute a next-generation platform for functional nanophotonic devices and act as useful building blocks for the future quantum revolution.

Field data from liquefaction case histories are essential for the development, calibration and validation of the liquefaction evaluation methods, and prime standard for the validation of current liquefaction theories. By collecting liquefaction data from Chi-Chi, Bachu and Songyuan earthquakes in China, the volume of data in the Chinese liquefaction database based on the standard penetration test (SPT) is significantly increased from 121 to 465. This database is then used to validate the reliability of four liquefaction evaluation methods based on SPT, i.e. evaluation method suggested in Code for Seismic Design of Buildings (code method for short), two hyperbolic models, and the simplified cyclic stress ratio (CSR) method. The results indicate that the two hyperbolic models can satisfactorily distinguish the liquefaction data from the non-liquefaction data, with success rates higher than 85% for both liquefaction data and non-liquefaction data. The code method and the simplified CSR method exhibit disadvantages for liquefaction evaluation. The predicted results are not satisfactory for all four evaluation methods for seismic intensity of 7, as the liquefaction data are mixed with the non-liquefaction data for this intensity. The overall success rates of the four evaluation methods are high for the data when the seismic intensities are 8 and 9. A new probabilistic liquefaction evaluation equation based on the CSR method is proposed by regression analysis of the new liquefaction data. The predicted liquefaction critical state lines are in reasonable agreement with reported probabilistic equation, even though the number of datasets adopted is different. The Chinese code method has obvious limitation with conservative results for soil layers at the depth greater than 10 m. The analytical results provide reference for improving the liquefaction evaluation method in Chinese code.

In recent years, inertial sensors based on Micro-Electro-Mechanical Systems (MEMS) have become increasingly popular. They have been widely used in various fields due to their low cost, small size, and low power consumption. It seems that MEMS inertial sensors may eventually fully occupy the middle to lower end inertial navigation application market that traditional inertial sensors previously occupied. To realize the full potential of MEMS inertial sensors, one of the critical issues is their temperature drift. This paper first proposed a recursive model for real-time compensation. Then three algorithms were proposed, including a two-layer deep gated recurrent unit recurrent neural network (GRU-RNN, short GRU), deep GRU based on monarch butterfly algorithm (MBA), and deep GRU based on optimized monarch butterfly algorithm (OMBA). Each of these three algorithms is combined with the real-time compensation model to compensate for the temperature drift of a MEMS accelerometer. The experimental results proved the correctness of these three methods, and the MEMS accelerometer’s temperature drift is compensated effectively. The results indicate that the deep GRU + OMBA shows the best performance for the temperature drift compensation combined with the real-time compensation model. After deep GRU + OMBA method compensation, the angle random walk, the bias instability, the rate random walk, and rate ramp of the MEMS accelerometer were improved from $4.97e^{-4} \, mg\,\,\cdot s^{\frac {1}{2}}$ , $4.90e^{-4} \, mg$ , $5.57e^{-5} \, mg/ s^{\frac {1}{2}}$ , $1.82e^{-6} \, mg\,\,/ s$ to $3.90e^{-5} \, mg\,\,\cdot s^{\frac {1}{2}}$ , $1.07e^{-5} \, mg$ , $1.12e^{-6} \, mg/ s^{\frac {1}{2}}$ , $3.59e^{-8} \, mg\,\,/ s$ , respectively. Their percentage of improvement reaches 96.50% on average.

ObjectiveTo investigate the genetic information of 57 autosomal InDel loci （A-InDels） included in AGCU InDel 60 fluorescence detection kit in the Beichuan Qiang population of Sichuan Province and evaluate its application value in forensic medicine.MethodsA total of 200 unrelated healthy individuals from Beichuan Qiang population of Sichuan Province were typing detected by AGCU InDel 60 fluorescence detection kit. Allele frequencies and population genetic parameters of the 57 A-InDels were statistically analyzed and compared with the available data of 26 populations.ResultsAfter Bonferroni correction, there was no linkage disequilibrium between the 57 A-InDels, and all loci were in Hardy-Weinberg equilibrium. Except for rs66595817 and rs72085595, the minor allele frequencies of 55 A-InDels were above 0.3. PIC ranged from 0.298 3 to 0.375 0, CDP was 1-2.974 8×10-24, CPEduo was 0.999 062 660, and CPEtrio was 0.999 999 999. The calculation of the genetic distance showed that Beichuan Qiang population had the closest genetic distances with Beijing Han and South China Han populations, but far away from African populations.ConclusionThe 57 A-InDels in AGCU InDel 60 fluorescence detection kit have a good genetic polymorphism in Beichuan Qiang population of Sichuan Province, which can be used as effective supplemental for individual identification and paternity identification in forensic medicine.

In view of the complex flow field structure of the rear intake system,it is necessary to clarify its influence on the double-sided composite impeller,so as to provide reference for the structural design of the rear intake system.The rear intake pipe of micro double-sided composite impeller engine usually has three types:straight type rear intake pipe,elliptic type rear intake pipe and symmetrical airfoil type rear intake pipe.Numerical simulation is used to analyze the influence of different rear inlet systems on the compression characteristics and flow field structure of double-sided composite impeller.The results show that compared with the straight type rear intake pipe,the elliptic type rear intake pipe and the symmetrical airfoil type rear intake pipe are slightly worse in compression performance,but there is no significant difference in flow range.At the same time,the radial inlet with elliptical rear inlet is better,which can match the compression characteristics of double-sided composite impeller and meet the needs of stable exhaust of tail nozzle.As the axial velocity at the blade root of the auxiliary impeller decreases,the pressure gradient increases and the separation vortex is generated,which affects the performance of the doublesided composite impeller.This paper extends the understanding of the influence mechanism of the rear intake system with radial intake on the double-sided composite impeller.

In the context of the operation of China’s carbon emissions trading market, carbon cost pass-through will profoundly impact the country’s power generation industry. However, the core of studying carbon cost pass-through in the power generation industry is determining the carbon cost pass-through rate (CCPTR). Based on this, this paper first takes the Cournot model as the basic principle, which analyzes the impact of different power generation enterprises’ numbers and the characteristics of electricity market demand on the carbon pass-through results. Secondly, based on the Cournot model, this paper further CCPTR under marginal cost variability. The research results show that when the demand function is linear, the larger the CCPTR, the larger the proportion of carbon cost pass-through. When the demand function is isoelastic, the smaller the CCPTR, the smaller the proportion of carbon cost pass-through.

The cultural and creative industry is an emerging industry with innovation and creativity as its core in the context of economic globalization. It is an important driving force for economic transformation and upgrading and an important means of national soft power competition. The policy support for China’s cultural and creative industry is constantly increasing, and the industry scale is constantly growing. The trend of integration between cultural and creative industries and digital technology is obvious. This article studies the current situation of the cultural and creative industry, analyzes the integration trend of cultural and creative industries and digital technology, and explores the upgrading experience of the cultural and creative industry in analyzing typical brand shaping, providing a reference for enhancing the core competitiveness of the cultural industry.

We take red sandstone as the research object and apply the freeze-thaw cycles, CT scans and mechanical properties experiments. We use image processing technology combined with genetic algorithm optimization model to achieve the denoise, enhancement, segmentation and three-dimensional reconstruction of CT scan images after 0, 5, 10, 20, and 40 freeze-thaw cycles. With the damage identification and comparative study of the same object across scales, we established a prediction formula of elastic modulus deterioration based on mesoscopic damage. Therefore, the macroscopic mechanical behavior of freeze-thaw red sandstones can be interpreted from the physical nature of the material meso-structure. The results show that genetic algorithm based on image maximum entropy can quickly and accurately select the threshold for image segmentation, and achieve the recognition of matrix and defects in rock meso-structure. With the increase of freezing and thawing cycles, the porosity of rock increases, and the fractal dimension of pore decreases. On the meso-scale, the evolution shows that the pores expand and the number increases, but the structural complexity decreases. The macroscopic and mesoscopic damage variables defined by the traditional methods are based on the effective bearing area and elastic modulus, and they fail to fully consider the damage physical mechanism and the internal structure information of the material. The damage evolution curves are different. Based on the two physical mechanisms, we define the meso-damage variable and the macro-damage variable that considers the natural rock damage, which achieves the combination of macroscopic and mesoscopic damages. Finally, according to the relationship between meso-structure evolution and macroscopic mechanical response in the process of freeze-thaw cycles, we propose a prediction formula of elastic modulus degradation, and analyze the different dominant roles of pore size and pore structure morphology through the damage process. We interpret the mechanical mechanism of macroscopic sandstone freeze-thaw damage based on the meso-structure physical mechanisms.

Germination can improve the level of the free amino acid, and further improve the nutritious value of the foxtail millet. However, the effect of germination temperature and time on them is still unclear. The free amino acid of the germinated foxtail millet has been analyzed at different germination temperatures (20, 25, 30, 35, and 40 ℃) and time (0, 6, 12, 18, 24, and 30 h). Results reveal that 21 components of free amino acids increased. The lower temperature or higher temperature is not suitable for the accumulation of the free amino acid. The free amino acids increase to the maximum at the germination temperature of 30 ℃ for 30 h. The total free amino acids and total essential free amino acids can reach (810.7±69.0) and (367.8± 30.2) mg/100g, respectively. Among the amino acids, the contents of alanine and threonine increase to the highest level. The alanine has increased to (120.0±12.0) and (115.0±14.0) mg/100g at the temperature of 30 and 35 ℃, respectively. The threonine has increased to (106.0±1.0) mg/100g at the temperature of 35 ℃. The γ-aminobutyric acid reaches the maximum level at the germination temperature of 35 ℃ and reaches (60.1±1.8) mg/100g. In conclusion, the germination can promote the increase of the free amino acid and adjust the nutrition of the foxtail millet, and the germinated foxtail millet is a potential source for functional food.

Abstract Background Guizhou is located in the southwest of China with high multidrug-resistant tuberculosis (MDR-TB) epidemic. To fight this disease, Guizhou provincial authorities have made efforts to establish MDR-TB service system and perform the strategies for active case finding since 2014. The expanded case finding starting from 2019 and COVID-19 pandemic may affect the cases distribution. Thus, this study aims to analyze MDR-TB epidemic status from 2014 to 2020 for the first time in Guizhou in order to guide control strategies. Methods Data of notified MDR-TB cases were extracted from the National TB Surveillance System correspond to population information for each county of Guizhou from 2014 to 2020. The percentage change was calculated to quantify the change of cases from 2014 to 2020. Time trend and seasonality of case series were analyzed by a seasonal autoregressive integrated moving average (SARIMA) model. Spatial–temporal distribution at county-level was explored by spatial autocorrelation analysis and spatial–temporal scan statistic. Results Guizhou has 9 prefectures and 88 counties. In this study, 1,666 notified MDR-TB cases were included from 2014–2020. The number of cases increased yearly. Between 2014 and 2019, the percentage increase ranged from 6.7 to 21.0%. From 2019 to 2020, the percentage increase was 62.1%. The seasonal trend illustrated that most cases were observed during the autumn with the trough in February. Only in 2020, a peak admission was observed in June. This may be caused by COVID-19 pandemic restrictions being lifted until May 2020. The spatial–temporal heterogeneity revealed that over the years, most MDR-TB cases stably aggregated over four prefectures in the northwest, covering Bijie, Guiyang, Liupanshui and Zunyi. Three prefectures (Anshun, Tongren and Qiandongnan) only exhibited case clusters in 2020. Conclusion This study identified the upward trend with seasonality and spatial−temporal clusters of MDR-TB cases in Guizhou from 2014 to 2020. The fast rising of cases and different distribution from the past in 2020 were affected by the expanded case finding from 2019 and COVID-19. The results suggest that control efforts should target at high-risk periods and areas by prioritizing resources allocation to increase cases detection capacity and better access to treatment.

Centrifual impeller is a key component in micro aviation gas turbine. It is required to reduce the weight of the structure as much as possible on the premise of satisfying the aerodynamic performance. Traditional design and manufacturing technology is basically played to the extreme,but the development of additive manufacturing technology and topology optimization design method has expanded new space for its further optimization design. Aiming at the weight reduction design problem of a certain type of aviation micro gas turbine centrifugal impeller,relying on additive manufacturing and topology optimization design technology,based on the existing design,the static strength analysis of the centrifugal impeller is carried out first,and then the centrifugal impeller topology optimization based on the skeleton model and achievable process design is developed. Finally the optimized model is checked. The results show that the optimized design model can reduce the weight of the centrifugal impeller by 8.7%,and the power-gain ratio of the micro-gas turbine can be further improved,the maximum deformation is reduced by 7.5%. The maximum equivalent stress is reduced by 0.59%,which improves the safety margin of centrifugal impeller when working.

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a disease marked by apnea, hypopnea, decreased oxygen saturation, and disordered sleep structure, which is a major risk for cardiovascular disease. Recent studies have found that OSAHS patients have an increased risk of hypertension, coronary atherosclerotic heart disease, insulin resistance, type 2 diabetes, metabolic syndrome, non-alcoholic fatty liver disease, etc. And these patients have a high prevalence of obvious glucolipid metabolism disorder (GMD) , which plays an important role in cardiovascular morbidity and mortality in OSAHS. We reviewed the latest advances in the association of GMD and OSAHS, and the potential pathogenesis of OSAHS-induced GMD and insulin resistance, aiming at providing new ideas for clinical treatment of GMD in OSAHS.

Background: Hepatocellular carcinoma (HCC) is a common malignancy with high mortality worldwide. Despite advancements in diagnosis and treatment in recent years, there is still an urgent unmet need to explore the underlying mechanisms and novel prognostic markers. Anoikis has received considerable attention because of its involvement in the progression of human malignancies. However, the potential mechanism of anoikis-related genes (ANRGs) involvement in HCC progression remains unclear.Methods: We use comprehensive bioinformatics analyses to determine the expression profile of ANRGs and their prognostic implications in HCC. Next, a risk score model was established by least absolute shrinkage and selection operator (Lasso) Cox regression analysis. Then, the prognostic value of the risk score in HCC and its correlation with clinical characteristics of HCC patients were further explored. Additionally, machine learning was utilized to identify the outstanding ANRGs to the risk score. Finally, the protein expression of DAP3 was examined on a tissue microarray (TMA), and the potential mechanisms of DAP3 in HCC was explored.Results: ANRGs were dysregulated in HCC, with a low frequency of somatic mutations and associated with prognosis of HCC patients. Then, nine ANRGs were selected to construct a risk score signature based on the LASSO model. The signature presented a strong ability of risk stratification and prediction for overall survival in HCC patients.Additionally, high risk scores were closely correlated with unfavorable clinical features such as advanced pathological stage, poor histological differentiation and vascular invasion. Moreover, The XGBoost algorithm verified that DAP3 was an important risk score contributor. Further immunohistochemistry determined the elevated expression of DAP3 in HCC tissues compared with nontumor tissues. Finally, functional analyses showed that DAP3 may promote HCC progression through multiple cancer-related pathways and suppress immune infiltration.Conclusion: In conclusion, the anoikis-based signature can be utilized as a novel prognostic biomarker for HCC, and DAP3 may play an important role in the development and progression of HCC.

Centromere protein M (CENPM) is essential for chromosome separation during mitosis. However, its roles in lung adenocarcinoma (LUAD) progression and metastasis remain unknown. In this study, we aimed to explore the effects of CENPM on LUAD progression as well as the underlying mechanisms. We analyzed the expression of CENPM and its correlation with clinicopathological characteristics using GEO LUAD chip datasets and TCGA dataset. We further investigated the impact of CENPM on LUAD in vitro and in vivo. In silico analysis and qRT-PCR revealed that CENPM is upregulated in LUAD compared with that in normal lung tissues. Via gain/loss-of-function assays, we further found that CENPM promotes the LUAD cell cycle, cell proliferation, migration and invasion, and inhibits cell apoptosis in vitro. The in vivo study showed that loss of CENPM inhibits the growth of A549 xenografts. Furthermore, we found that CENPM can promote the phosphorylation of mTOR rather than directly affect the mTOR content. Inhibition of mTOR activity abrogates the promoting effects of CENPM on cell cycle progression, cell proliferation, migration and invasion. Taken together, these results show that CENPM plays an important role in the growth and metastasis of LUAD and may be a promising therapeutic target in LUAD.

The leakage of metal sealing ring leak proof structure is one of the factors influencing the gas flow in leakage channel of the metal seal ring of engine. The finite element analysis software is used to establish the leakage channel model under different surface roughness,and the CFD technology is used to perform the numerical simulation of the fluid flow inside the gap of different structures to study the effect of surface roughness on the leakage flow.The leakage rate of the sealing ring is calculated,and the correctness of the calculation result is verified through the sealing test. The results show that the gas in the leakage channel is affected by the surface roughness,and the obvious backflow occurs near the rough wall surface,which can reduce the leakage flow rate of the fluid in the channel. Under the condition of constant contact stress,the leakage of the sealing gap is increased with the surface roughness. Improving the processing accuracy of the sealing ring can reduce the surface roughness so as to enhance its sealing performance.

BackgroundThe high temperature molten salt is generally used as the heat transfer medium in molten salt reactor (MSR), and the molten salt leakage accident is a crucial issue for the safety of reactor operation.PurposeThis study aims to investigate the characteristics of molten salt leakage and solidification and to provide effective measures to reduce the risk of molten salt leakage accidents.MethodsBased on the computational fluid dynamics (CFD) model, the leakage of molten fluoride salt flow onto the quartz sand and subsequently phenomena including permeation, spreading, melting and solidification were studied by using ANSYS FLUENT code.ResultsThe results show that the molten salt diffuses both vertically and horizontally after contacting the sand, due to the cooling of ambient and temperature gradient of the sand, the bottom of molten salt in the sand will freeze, making the vertical permeation depth stabilized and the liquid molten salt will only spread horizontally on the top surface of sand. For a certain period of molten salt leakage, the higher the molten salt temperature and leakage flow rate, the larger the maximum diffusion radius of horizontal detection and permeation depth in vertical direction.ConclusionsBased on above analysis, a method with respect to the collection and thermal insulation of high temperature molten salt under leakage accident is proposed, and analyzed to verify the effectiveness of the method.

Objective To investigate the application of video-assisted thoracoscopic (VATS) surgery in emergency treatment of projectile injuries in the lung caused by explosion. Methods A case of projectile injury shot in the left lower lung by a stray bullet was admitted in our department in December 2020. After three-dimensional reconstruction of lung CT images, echocardioghaphy and other preoperative evaluations, emergency VATS wedge resection of the right inferior lobe, right hemothorax removal and right chest wall wound enlargement surgery were performed. Results The patient was successfully rescued and discharged from our hospital after surgery, and no significant complication was observed at 2 months after follow-up. The hematoma and inflammation along the projectile in the lung were obviously absorbed. Conclusion The VATS surgery can be used in the emergency treatment of projectile injuries in the lung caused by explosion, and provides support for the minimally invasive emergency treatment of war wounds of the chest.

Objective: This study aimed to establish a new method for the determination of matrine and oxymatrine in honey by UPLC-MS/MS. Methods: The honey was dissolved in water, and the liquid-liquid extraction pretreatment technology was adopted. The extraction was achieved using ammonia-acetonitrile, with the addition of sodium sulfate to induce a salting out effect. Chromatographic separation was achieved on Inspire HILIC column in the mobile phase composition of acetonitrile and 0.1% formic acid-5 mmol/L ammonium acetate buffer. Mass Spectrometry was carried out under the multiple reaction monitoring (MRM) mode with positive electrospray ionization (ESI+) and external standard method for quantitative analysis. Results: The linear relationship between matrine and oxymatrine was observed in the range of 1~100 ng/mL, with correlation coefficients higher than 0.998. The detection limit and quantitative limit of matrine and oxymatrine in honeywere 0.1 μg/kg and 0.3 μg/kg, respectively. The average recoveries of matrine and oxymatrine were 90.9%~95.1% and 80.9%~84.3%, respectively, at the spiked levels of 1, 10 and 100 μg/kg, with the relative standard deviations (RSDS)＜ 10% (n=6). The validated method was then successfully applied to the determination of matrine and oxymatrine in 45 commercially available honey, and the results showed that the detection probability and content of matrine and oxymatrine in acacia honey were relatively high. Conclusion: The established method is accurate, rapid, and sensitive, Moreover, a simultaneous preparation of multiple sample extracts is available, and it can used for the routine determination of matrine and oxymatrine in honey.

This study aims to study the reason why a huge accumulation of gold deposits occurred in the Jiaodong area. We summarized and analyzed the geological background and metallogenic characteristics of the Jiaodong gold deposits. In parallel, we highlighted the importance of depressurization-driven movement of ore-forming materials at two stages and the special properties of critical water (water at the critical value of both temperature and pressure, the same below) based on the theory of water phase change controlling metallogenesis in hydrothermal deposits. The above analysis results allow us to propose the Mesozoic massive gold metallogenic mechanism of deep-large fault coupling with critical water in the Jiaodong area, that is, the metallogenic mechanism of "one cake plus one knife". The old metamorphic rocks provide abundant ore-forming materials. In the early stage, a large-scale point-like depressurization results in acid intrusive complexes and various dykes, which were accompanied by a large amount of critical water over a long time to promote the activation and migration of ore-forming materials; In the late stage, the depressurization of the large linear fault caused the precipitation of ore-forming materials in a short time. The faults with open discontinuous space are dominated by ore-filling structures, while the fracture zones with continuous space are dominated by mineralized alteration with metasomatic structures. Abundant gold in metamorphic rocks, two stages of depressurization with different properties and unique properties of critical water are the main factors for the accumulation of massive gold deposits in the Jiaodong area.

The superhydrophobic scallop-like Cu6Sn5 micro/nano structure were successfully constructed on pure copper substrate by heat-induced Cu/Sn interfacial metallurgical reaction and simple chemical modification process. The microstructure, chemical composition and corrosion resistance of as-prepared samples were characterized by field emission scanning electron microscopy and X-ray photoelectron spectroscopy, etc. The results show that the averaged shear resistance strength between micro Cu6Sn5 and Cu substrate is higher than 40 MPa. After modified with myristic acid and Cu2+, copper myristate with low surface energy is formed on the armor Cu6Sn5 surface. The wetting angle of water droplets on as-modified surface is higher than 150° and its rolling angle is 7.2°. Compared with pure copper, the self corrosion current density of the samples modified by copper myristate in 3.5%NaCl(mass fraction) solution is about 1/10 of that of the samples before modification,showing better corrosion resistance. Based on the metallurgical bonding mechanism between intermetallic compounds and metal matrix, the armor formation strategy of metal materials in micro-scale by heat-induced interfacial reaction is proposed, which can successfully solve the open and key scientific problem of low mechanical stability for artificial superhydrophobic interface.

ObjectiveTo investigate whether an acclimatization period should be introduced into the home cage experiment for the detection of metabolic function in mice, and how to judge and set its length.MethodsData from 31 home cage experiments in 2016-2017 were collected, and each experiment was set up with a 3-day (72 hours) acclimatization period. Data such as water consumption, food intake, heat production, and body weight were recorded. The data were analyzed using 24-hour interval analysis to determine the acclimatization effect.ResultsApproximately 12% of the 356 mice drank less than 1 mL at the end of 96 hours. There were significant differences in water consumption, food intake, heat production rate, and body weight between 24-48 hours and 48-72 hours, but no significant differences were detected between 48-72 hours and 72-96 hours, except in food intake. Independent verification of the food intake of each experiment showed that there was a significant correlation between food intake adaptability and weight.ConclusionApproximately 12% of the mice were unable to learn or adapt to the new water bottle after the 72-hour acclimatization period, therefore, researchers should consider increasing the sample size of the experiment to eliminate invalid data. If food intake is not the focus of a study, the 48-hour acclimatization is sufficient to obtain reliable results.