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Energy hubs （EHs） can effectively facilitate the consumption of renewable energy with high uncertainty. Still， the existing EH planning methods have not fully considered the correlation between siting and sizing. Hence， this study introduces an alternate optimization method considering the supply-demand balance. Firstly， utilizing graph theory and weighted similarity， the study defines the energy moment （EM）， a concept that represents the energy transmission cost， and proposes an optimal partitioning criterion for energy internet system with minimum total EM as the goal. Subsequently， the supply-demand balance index within each EH is calculated based on the time-series energy interaction information of the energy supply and demand entities. The paper then proposes a sizing strategy for multi-energy coupling units within EH， aiming to maximize the average supply-demand balance of the entire energy internet system. On this basis， the paper constructs an alternate optimization model for EH siting and sizing based on K-means clustering， and achieves an optimal solution through iteration of EHs. Finally， case studies are presented， and their results indicate that the proposed method can significantly improve the accuracy and economy of EH planning.

Zr-Y modified silicide coating was deposited on TC4 alloy by the pack cementation process. The microstructure， friction and wear performance， and wear mechanisms of the coating were investigated. The results show that the Zr-Y modified silicide coating has a multi-layer structure， an outer layer consists of TiSi2 and a small amount of ZrSi2， a thin middle layer is TiSi， and an inner layer is a mixture of Ti5Si4 and Ti5Si3. The micro-hardness of the coating is much higher than that of the TC4 substrate and exhibits an obvious decrease tendency from the surface to the interior. The Zr-Y modified silicide coating possesses good anti-wear performance when wearing against GCr15 and Al2O3 balls at a high-temperature of 600 ℃. When wearing against GCr15， the wear rate of the coating is about 3.59×10-5 mm3/（N·m）， which is about 36.6% of that of the TC4 substrate， and the main wear mechanisms are characterized by the adhesive of GCr15 on the coating surface and oxidation wear. When wearing against the Al2O3 ball， the wear rate of the coating is about 9.75×10-5 mm3/（N·m）， which is about 18.9% of that of the TC4 substrate， and the wear mechanisms are fatigue wear， oxidation wear， and adhesion wear.

To enhance the performance of neural machine translation (NMT) and ameliorate the detrimental impact of high uncertainty in monolingual data during the self-training process, a self-training NMT model based on priority sampling was proposed. Initially, syntactic dependency trees were constructed and the importance of monolingual tokenization was assessed using grammar dependency analysis. Subsequently, a monolingual lexicon was built, and priority was defined based on the importance of monolingual tokenization and uncertainty. Finally, monolingual priorities were computed, and sampling was carried out based on these priorities, consequently generating a synthetic parallel dataset for training the student NMT model. Experimental results on a large-scale subset of the WMT English to German dataset demonstrate that the proposed model effectively enhances NMT translation performance and mitigates the impact of high uncertainty on the model.

Abstract Background To report a case of interface fluid syndrome (IFS) following traumatic corneal perforation repair after small incision lenticule extraction (SMILE). Case presentation A 23-year-old woman, with a past history of SMILE, was struck in the left eye with a barbecue prod and subsequently underwent corneal perforation repair at local hospital. Primary wound repaired with a single 10 − 0 nylon suture at the area of leakage. After the surgery, her best corrected visual acuity (BCVA) was 20/30. Four days later, she presented at our hospital with blurred vision, and interface fluid syndrome (IFS) was diagnosed. Intraoperative optical coherence tomography (iOCT) was used to guide the resuturing of the corneal perforation in the left eye, followed by anterior chamber gas injection. At the first postoperative month, the BCVA was 20/25. The corneal cap adhered closely to the stroma, the surface became smooth. Conclusions This case illustrates that any corneal perforation following lamellar surgery, including SMILE, may lead to IFS. It is crucial to consider the depth of corneal perforation, and intraoperative optical coherence tomography (iOCT) plays a unique role in the repair procedure.

"Objective To investigate the relationship between skeletal muscle mass index (SMI) and non-traumatic rotator cuff tear(RCT) in patients with type 2 diabetes mellitus (T2DM). Methods The clinical data of 180 T2DM patients who were hospitalized in the Department of Endocrinology and Orthopedics, the Third People's Hospital of Jinzhong from June 2020 to December 2022 were retrospectively analyzed. According to the results of MRI and medical history, the patients were divided into T2DM+RCT group (n=80) and T2DM+ non-RCT group (n=100). The general data, body fat ratio, skeletal muscle mass, duration of diabetes, glycosylated hemoglobin (HbA1c) and other factors were compared between the two groups. Binary logistic regression was used to analyze the risk factors for non-traumatic RCT in T2DM patients. The receiver operating characteristic (ROC) curve was used to analyze the predictive value of various factors for non-traumatic RCT in T2DM patients. Results The proportion of female, body weight, body mass index(BMI), duration of diabetes, body fat ratio and HbA1c level in T2DM+RCT group were higher than those in T2DM+ non-RCT group (P< 0.05). The SMI was lower than that of the T2DM+ non-RCT group ［6.10 (5.50,7.18) kg/m2vs 5.40 (4.50,6.10) kg/m2,Z=4.443,P2, with a sensitivity of 48.80% and a specificity of 82.00%, and AUC=0.693 (95%CI: 0.614-0.771). The combination of SMI, BMI, duration of diabetes and HbA1c had the highest diagnostic value, with a sensitivity of 81.30% and a specificity of 91.00%, and AUC=0.926 (95%CI: 0.885-0.966). Conclusion There is a correlation between SMI and non-traumatic RCT in diabetic patients, which has a particular predictive value for non-traumatic RCT."

Objective To compare the disinfection effect of 3% (v/v) hydrogen peroxide and 500 mg/L chlorine-containing disinfectants in the independent waterway of a periodontal ultrasonic scaler to provide a reference for clinical waterway disinfection management in stomatology departments. Methods The 18 ultrasonic scalers were randomly divided into 3 groups of 6 units: the control group, experimental group 1 (3% hydrogen peroxide disinfectant group), and experimental group 2 (500 mg/L chlorine-containing disinfectant group). The replaceable parts of the independent waterway pipes of the 3 groups of ultrasonic scalers were replaced, and the water supply was supplied with sterile distilled water (DW). In the control group, special treatment was not applied to the nonreplaceable pipe part. In experimental group 1, the 3% hydrogen peroxide was used to disinfect nonreplaceable pipelines. In experimental group 2, the nonreplaceable part was disinfected with the 500 mg/L chlorine-containing disinfectant. The water sample was taken from the outlet of the scaler working part in the three groups for monitoring before disinfection, immediately after disinfection and 10 consecutive days after disinfection. Bacteria in the water samples were cultured for the colony counts. Then, the bacterial culture data were compared between groups. The qualified criterion of the water sample was that the number of bacterial colonies was less than or equal to 100 CFU/mL. After disinfection, a bacterial species mass spectrometry identification analysis was carried out when the number of bacterial colonies in each group exceeded the standard for the first time. Biofilms from the inner wall of the tube in the three groups were observed under an electron microscope on the 10th day after disinfection. Results There were no significant differences between the three groups before disinfection (F = 2.549, P = 0.111). The number of bacterial colonies in the spout of 6 scalers in the control group all exceeded the standard, and three kinds of bacteria were cultured: Sphingomonas melonis, Herbaspirillum huttiense, and Ralstonia pickettii. Compared with those in the control group, the number of bacterial colonies in experimental group 1 decreased significantly for 1-2 days after disinfection (P

To address the impact of new energy source power fluctuations on the power grid, research has been conducted on energy storage allocation applied to mitigate the power fluctuations of new energy source. Firstly, based on the first-order low-pass filtering algorithm and discrete Fourier transform algorithm, the original power data of new energy sources were preprocessed to achieve the reconstruction of power signal. Subsequently, a more secure and reliable energy storage allocation model is constructed by taking into account the boundary conditions of energy storage charging and discharging efficiency, energy balance, state of charge, and target power output fluctuation. Then, a comprehensive Life-Cycle-Cost model for energy storage systems was developed and applied to economic evaluation of energy storage under two algorithms. Finally, the calculation case study analysis shows that the energy storage allocation model effectively improves the power fluctuations of new energy sources, represented by wind power, and ensure the safe and stable operation of energy storage system throughout the entire cycle, thus verifying the effectiveness and feasibility of the energy storage configuration model. Under fluctuation rate constraints of 10%, 15%, and 20%, the rated power required for the first-order low-pass filtering algorithm is 8.795 MW, 6.485 MW, and 4.022 MW, respectively, representing 18.32%, 13.51%, and 8.38% of the new energy source rated power(48 MW). The corresponding rated capacity required is 7.763 MWh, 3.675 MWh, and 1.123 MWh. In contrast, for the discrete fourier transform algorithm, the rated power required is 9.159 MW, 8.84 MW, and 5.78 MW, respectively, representing 19.08%, 18.42%, and 12.04% of the new energy source rated power. The corresponding rated capacity required is 2.01 MWh, 0.97 MWh, and 0.5 MWh. Form an economic feasibility perspective, the economic efficiency of energy storage allocation by discrete fourier transform algorithm is significantly better than allocated by the first-order low-pass filtering algorithm. For instance, when U10minup= 10%, the cost difference reaches a maximum of 1256 million ¥.

Objective To evaluate the effect of ultrasonography visualization teaching in the integration course of diagnostics and ultrasonic medicine for eight-year clinical medicine program students and to provide reference for further optimization of the teaching program. Methods The study conducted a questionnaire survey with electronic questionnaire in the eight-year clinical medicine program students from Peking Union Medical College who participated in ultrasonography visualization teaching of neck and abdomen. We adopted self-control study(data from the questionnaires completed by the same student before and after the course) to compare the accuracy of each knowledge point before and after teaching to evaluate the teaching effect, and collected course satisfaction ratings and feedback from the students. Results A total of 124 eight-year medical students participated in the survey, with 107 cases eight-year clinical medicine program students in grade 2017, and 17 cases '4+4' pilot class students in grade 2019 from Peking Union Medical College. Altogether 116 valid questionnaires (the response rate was 93.5%, 116/124) were collected for neck ultrasound courses and 101 valid questionnaires (the response rate was 94.4%, 101/107) for abdominal ultrasound courses. After the teaching of neck ultrasound course, the correctness of 68.8%(11/16) and 66.7%(10/15) of the knowledge points was significantly improved for the grade of 2017 and 2019 medicine students, respectively (all P < 0.05); after the teaching of abdominal ultrasound course, the correctness of 80%(4/5) of the knowledge points was significantly improved for both the grade of 2017 and 2019 medicine students (all P < 0.05). Course satisfaction surveys showed that 99.1%(115/116)of the students were very satisfied or satisfied with the cervical ultrasound course, and 0.9%(1/116) were somewhat satisfied. As for the abdominal ultrasound course, 99.0% (100/101) of the students were very satisfied or satisfied and 1.0%(1/101) were somewhat satisfied. Twenty one medical students gave feedback on the evaluation of the course, believing that ultrasound visualization teaching improved learning initiative (52%, 11/21) and learning efficiency (43%, 9/21) and stimulated learning interest (5%, 1/21); 27 medical students made suggestions on the teaching mode, among which 'increasing teaching hours' accounted for the highest proportion (56%, 15/27), followed by 'recommending reference books' (26%, 7/27). Conclusion The ultrasonography visualization teaching improves the learning initiative and efficiency of eight-year clinical medicine program undergraduates, stimulates the learning interest, and promotes their mastery of relevant knowledge.

The tough noise environment in helicopter cockpit can passively influence pilots in mental and physical way, weaken their core competency, and as a result, maybe causing pilot error and even accidents. The current research can evaluate the physical characteristics of noise and its impact on emotion such as noise annoyance, but it ignores the impact of cockpit noise on human competence. Therefore, this paper establishes a noise evaluation and prediction model based on core competence with task performance, cognitive load and eye movement data. Experiment is designed and implemented in three noise levels and three task difficulties to verify the model. The results indicate that: 1) core competency and task accuracy decline in higher noise levels significantly. 2) the noise assessment method based on core competency can accurately predict the influence of noise on human performance. This novel method can quantitatively reflect the impact of noise changes on human performance in emergency condition. It can expand the connotation of noise evaluation, provide the evaluation and control of cockpit noise with theoretical explanations, and provide the optimization design of helicopter cockpit with practical data.

This paper firstly constructs a PLC-based intelligent irrigation control system, analyzes the requirements of its system functions, and determines three major modules of the system: data acquisition module, intelligent irrigation module, and Web service module. Then the system fuzzy control process is determined. According to the moisture value collected by the soil moisture sensor, the average is taken, and the deviation and deviation change rate is obtained by calculating the difference with the set value, and the control value is obtained by querying the previously deposited fuzzy control table through a series of transformations, and the command is executed according to the program setting. The automatic irrigation requirement is achieved by controlling the solenoid valve on and off. Finally, the analysis of system functions in terms of sensor accuracy, system function testing, and temperature and air humidity prediction accuracy was carried out. Regarding sensor accuracy, the error of relative soil moisture content is within 3%, and the relative error of soil temperature is within 0.5. In the system control function test, the solenoid valve will open for irrigation when the soil relative water content is lower than 40% or higher than 70% of the warning range, and the lighting will be turned on when the light intensity is lower than 200 Lux, and the system control is in line with the expectation. The intelligent irrigation system is of great significance to agricultural development.

【Objective】 Water and nutrients combine to mediate crop acquisition of resources from soil. This paper studies the integrated effect of irrigation and fertilization on yield and fruit quality, as well as water use efficiency of substrate-cultured tomato. 【Method】 The experiment was conducted in a solar greenhouse at Hexi in northwestern China. The substrates used in the experiment comprised 50% of corn straw, 30% of slag, and 20% of cow dung and biological microbes. There were four irrigation-fertigation treatments: N 615 kg/hm2, P2O5 315 kg/hm2, K2O 750 kg/hm2, and irrigation 6 000 m3/hm2 (T0, used by local farmers); N 435 kg/hm2, P2O5 150 kg/hm2, K2O 600 kg/hm2, and irrigation 4 500 m3/hm2 (T1); reducing the irrigation and fertilization in T0 by 10% (T2), reducing the irrigation and fertilization in T1 by 10% (T3). For each treatment, we measured fruit yield and quality, and its water use efficiency. 【Result】 Irrigation and fertilization affected fruit yield and quality, and the water-fertilizer utilization efficiency significantly. The biomass, oxidase activity, proline, quality indexes, yield, and water-fertilizer utilization efficiency of the crop were the highest in T3, least in T0, with T1 and T2 between. T3 gave the highest commercial-standard tomato fruits (87%) and best fruit flavor, with the ratio of soluble sugar to organic acids being 5.13. Compared to T0, other treatments increased the fruit yield by 3.6% to 27.8%. T3 gave the highest yield (152 489.25 kg/hm2), the highest irrigation water use efficiency and partial fertilizer productivity, which were 30.8 kg/m3 and 116.9 kg/kg, respectively. 【Conclusion】 Irrigating 4 950 m3/hm2 of water coupled with fertilizing 480 kg/hm2 N, 165 kg/hm2 P2O5 and 660 kg/hm2 K2O was optimal to improve growth, fruit yield and quality, and water-fertilizer use efficiency of the substrate-cultured tomato grown in solar greenhouses in the arid areas in Hexi, northwestern China.

Hepatocyte transplantation contributes to the repair of liver damage, but hepatocyte resources are limited, making it difficult for this to become a routine treatment. Previous studies have confirmed that mesenchymal stem cells (MSCs) can be induced to differentiate into hepatocyte-like cells (HLCs) by adding different cytokine combinations in vitro, and they then play some roles of hepatocytes. Our previous studies found that the differentiation ability of stem cells is closely related to the origin of the tissue. To identify the mesenchymal stem cells that are most suitable for hepatic differentiation and the treatment of liver failure, we use a three-phase induction process in which human adipose-derived stem cells (hADSCs) and umbilical cord mesenchymal stem cells (hUCMSCs) are induced to differentiate towards HLCs in vitro, and rats with acute liver failure (ALF) induced by D-gal are cured by MSCs and MSC-derived HLCs (MSCs-HLC), respectively. We find that hADSCs are stronger than hUCMSCs in hepatic differentiation ability, and they have a better curative effect when using hADSCs-HLC or jointly using hADSCs and hADSCs-HLC, which has positive significance for hepatocyte regeneration, recovery of liver function and reduction of systemic inflammatory reaction, finally improving the survival rate of rats with acute liver failure.

Slot resources are limited and not properly allocated, and the wave-system structures of airlines can organize slot time effectively. The article identifies and evaluates the wave-system structure of Beijing Daxing International Airport and Beijing Capital International Airport. It is found that: the wave-system of Beijing Capital International Airport is more obvious than that of Beijing Daxing International Airport, and the density and amplitude of waves are higher in summer and autumn than in winter and spring; the system waveforms of both Daxing Airport and Capital Airport are in the shape of morning and evening peaks; the indirect connection quality of flights from different departure airports via Capital Airport is higher than that of Daxing Airport; the indirect connections to destination airports via the two airports in Beijing are uneven in spatial distribution. The spatial distribution of indirect connections to destination airports via the two airports is uneven, but the wave-system plays a significant role in connecting small and medium-sized regional airports.

Under the “dual carbon” goal, China’s energy structure is accelerating transformation and upgrading, and new energy represented by solar energy, wind energy, geothermal energy is gradually replacing traditional coal, oil, gas and other fossil energy. Promoting the optimal combination of coal and new energy is a new requirement for achieving the “double carbon” goal, and also an important path for the green and low-carbon transformation of coal mines in the future. Based on the analysis of the energy distribution characteristics of coal-endowed areas in China, it is found that the fossil energy distribution areas dominated by coal are often also areas rich in solar energy, wind energy, thermal energy and other new energy, which are suitable for large-scale development of new energy in in coal-endowed areas. The research results are as follows: ① Put forward the concept of full life cycle energy development in coal-endowed areas, divide the energy development process in coal-endowed areas into three stages: coal, coal and new energy optimization combination, and new energy, and build a general framework for new energy development in coal-endowed areas; ② In terms of solar energy development, the theoretical reserves and development potential of solar energy in the mining area are evaluated based on the overlapping relationship between the coal occurrence and the solar energy resource rich area, and a hierarchical comprehensive utilization scheme of solar energy coupled with photochemical utilization, such as distributed/centralized photovoltaic power generation, solar thermal utilization and solar hydrogen production, is proposed to achieve diversified and efficient conversion and utilization of solar energy and collaborative mining with coal resources; ③ In terms of geothermal energy development, the potential of geothermal energy development in coal-endowed areas is evaluated based on the overlapping relationship between the coal bearing area and the geothermal energy resource rich area. In combination with the formation mechanism, distribution law and mining situation of the mine geothermal, a collaborative development system of deep mineral resources and geothermal resources is established to form a comprehensive application scheme for the graded mining of mine geothermal energy and the cascade utilization of thermal users, including the hot water type, rock temperature type and mixed type of the mine, realizing the strategic transfer of “harm” to “benefit” of mine geothermal; ④ In terms of wind energy development, the potential of wind energy development in the mining area is evaluated based on the overlapping relationship between the coal occurrence and the wind energy resource rich area, and the application approaches of wind power generation, wind water lifting, and wind heating technologies in the coal bearing area are proposed, and the wind energy utilization framework for power supply, water cycle power, heating self-sufficiency, and grid connected power generation of underground and underground facilities is constructed; ⑤ Considering that the roof is generally managed by the caving method in the current underground coal mining, and the caving space cannot be effectively used for underground energy storage, a technical path of energy storage in the goaf of the mine is proposed, which is “advanced planning of energy storage reservoir → construction of energy storage reservoir using functional backfilling→ Energy storage and release operation control”; ⑥ In view of the complex and changeable characteristics of multi energy complementary integrated energy system (MCIES) in coal-endowed areas, a heterogeneous energy flow coupling model of energy production and supply units in coal-endowed areas is established, the mathematical expressions of different energy hubs in MCIES are unified, and the energy management and optimization logic method and operation mode of MCIES in coal-endowed areas are proposed. This paper aims to explore the combination path of coal and new energy, demonstrate the feasibility of large-scale development of new energy in coal-endowed areas, endow coal bearing areas with the function of energy supply in the whole life cycle, and form a new mode of energy industry development of coal enterprises integrating “mine-wind-light-heat-storage”.

This article aims to review the clinical efficacy of existing non-pharmacological therapies for post-stroke depression （PSD）， in order to provide references for the comprehensive treatment of PSD. As a common complication of stroke， PSD seriously affects patients' rehabilitation and daily life， and brings a heavy burden to patients and their families. Non-pharmacological therapy is an important intervention approach for PSD. Therefore， this article gives a review on the non-pharmacological therapies for PSD including psychotherapy and physical therapy.

ObjectiveThrough the 6th Chinese Total Diet Study （TDS）， the contents of marker polychlorinated biphenyls （mPCBs） in representative Chinese dietary samples were obtained， and the dietary exposure assessment and temporal trend analysis of mPCBs were carried out.MethodsIstope dilution dilution-high resolution gas chromatography-high resolution mass spectrometry （HRGC-HRMS） was used to determine mPCBs in food composite samples， and the intakes of mPCBs of Chinese residents represented by the standard man were evaluated by deterministic approach.ResultsThe mPCBs were detected in all composite samples. The contents of mPCBs in varied dietary samples were different， and the animal diet were significantly higher than that of plant diet with the lowest in cereals and the highest in aquatic foods. The dietary intake of mPCBs of Chinese residents was 0.25［0.11， 0.62］ ng/kg·BW·d （geometric mean ± geometric mean standard deviation）. Compared with the results of the 4th TDS and 5th TDS， the dietary exposure level of Chinese residents decreased significantly （P

Objective To compare the disinfection effects of 500 mg/L chlorine-containing disinfectant and 3% hydrogen peroxide disinfectant applied to the threaded plastic hose at the fixed end of the saliva suction pipe of the oral comprehensive treatment table after diagnosis and treatment of patients in stomatology to provide a basis for clinical cleaning and disinfection. Methods The fixed ends of saliva suction pipes of 12 comprehensive treatment tables in the dental pulp department and maxillofacial surgery were selected as the research objects. The absorption was randomly divided into two groups and a control group: experimental group 1 with 500 mg/L chlorine disinfectants and experiment 2 group with 3% hydrogen peroxide disinfectant rinse disinfection and the control group with 0.9% sterile saline flushing pipe once a week for four weeks. Before and after washing and disinfection, samples from the inner wall of the threaded plastic hose interface were collected for bacterial culture and colony count, and colony counts within and between groups were compared before and after disinfection. Statistical analysis was conducted using SPSS 24.0 software. Results The baseline number of bacterial colonies in the first three groups was balanced, with no statistically significant difference (χ2 = 0.538, P = 0.764). The number of bacterial colonies after washing and disinfection was lower than that before washing and disinfection. The difference between 500 mg/L chlorine-containing disinfectant and 3% hydrogen peroxide disinfectant before and after disinfection was highly significant (Z = -4.801, P

Backgroundβ-decay half-life is one of the fundamental physical properties of unstable nuclei and plays an important role in nuclear physics and astrophysics.PurposeThis study aimed to provide accurate nuclear β-decay half-life predictions and reasonable uncertainties associated with the predictions.MethodsNuclear β-decay half-lives were studied based on the Bayesian neural network (BNN) approach. Three types of neural networks with x = (Z, N), x = (Z, N, Qβ), and x = (Z, N, δ, Qβ) were constructed as inputs to explore the influence of the input on the prediction. The posterior distributions were sampled using the Markov chain Monte Carlo algorithm. The mathematical expectations and standard deviations of the neural network predictions on the posterior distributions were used as the predicted values and errors of the BNN approach.ResultsThe learning accuracy can be significantly improved by incorporating the β-decay energy and physical quantity related to the nuclear pair effect into the neural network input layer and then using the logarithm of β-decay half-life as the network output. For nuclei with half-lives of less than 1 s, the prediction accuracy is approximately 0.2 orders of magnitude, which is similar to that afforded by the BNN method by learning the differences between the logarithms of the experimental half-lives and theoretical results.ConclusionsThe Bayesian neural network can accurately predict β-decay half-lives. When extrapolated to the unknown nuclear region, the predicted β-decay half-lives agree with the results of other theoretical models within errors, especially for nuclei with Z ≳ 50.

Background and purpose: High mobility group box 1 (HMGB1), which is involved in the process of DNA replication, transcription and translation, is closely related to the occurrence, development, invasion and metastasis of malignant tumors. In addition, HMGB1 is involved in the regulation of various signaling pathways of inflammation, immunity, proliferation, metastasis and autophagy. This research aimed to explore the correlation between HMGB1 and clinicopathological characteristics, immune function and neoadjuvant chemotherapy in patients with breast cancer. Methods: We enrolled a total of 120 breast cancer patients admitted to the Third Hospital of Nanchang from May 2019 to October 2020. The level of HMGB1 in sample of the core needle biopsy was determined by enzyme-linked immunosorbent assay (ELISA). IL-10 and TGF-β as the indicators of regulatory T cell (Treg) were measured. The percentages of CD3 + , CD4 + , CD8 + T lymphocytes and natural killer (NK) cells were detected by flow cytometry. The contents of immunoglobulin IgG, IgA, IgM and complement C3, C4 were determined by rate-scattering turbidimetry. The study subjects were divided into the high level group (HMGB1 ＞ 22.98 ng/mL) and the low level group (HMGB1≤22.98 ng/mL) according to the lower limit level of the 95% CI. After neoadjuvant chemotherapy, the pathological effect was evaluated according to the Miller-Payne pathological response grading standard. We analyzed the relationship between HMGB1 level and pathological efficacy. Results: HMGB1 levels were associated with breast cancer stage and lymph node metastasis (P ＜ 0.05). The level of HMGB1 was significantly correlated with Treg related IL-10 and TGF-β (r=0.734, P ＜ 0.001; r=0.686, P ＜ 0.001). CD4 + T cells/CD3 + T cells in the HMGB1 high level group were lower than in the low level group, and CD8 + T cells/CD3 + T cells were higher in the high level group than in the low level group (P ＜ 0.05). Patients with high-level HMGB1 had worse postoperative effects. Conclusion: The level of HMGB1 is related to breast cancer stage, lymph node metastasis and cellular immune function, and helps predict the efficacy of neoadjuvant chemotherapy.

Gastric mucosal injury is caused by an imbalance between the mucosal defense and gastro-irritants, leading to gastroenteritis. Diosgenin is a steroidal sapogenin found in the wild Yam plant that has been reported with several pharmacological properties. The aim of this study is to explore the gastroprotective role of diosgenin on gastric mucosal damage caused by HCl/ethanol in rats. Male Sprague-Dawley rats were intragastrically administered with diosgenin (20 mg/kg) before HCl/ethanol (0.15 M HCl in 98 % ethanol) administration. Omeprazole was used as a positive control. Diosgenin-attenuated oxidative stress by enhancing (p < 0.05) antioxidant enzymes, reducing lipid peroxidation (MDA), and modulating nitric oxide (NO) levels. Anti-inflammatory effects of diosgenin were observed by a reduction in pro-inflammatory cytokines (p < 0.05), decreased myeloperoxidase (MPO) activities (p < 0.05), and histopathological observation of gastric mucosal damage. Western blot analysis provided evidence on the downregulation of NF-κβ by diosgenin. The findings showed that diosgenin has a significant protective role on gastric injury caused by HCl/ethanol, through its antioxidant, anti-inflammatory role, and suppression of NF-κβ and MPO activities.

Tryptanthrin is an indole quinazoline alkaloid from the indigo-bearing plants, such as Isatis indigotica Fort. Typically, this natural compound shows a variety of pharmacological activities such as antitumor, antibacterial, anti-inflammatory and antioxidant effects. This study was conducted to assess the antitumor activity of tryptanthrin in breast cancer models both in vitro and in vivo, and to explore the important role of the inflammatory tumor microenvironment (TME) in the antitumor effects of tryptanthrin. Human breast adenocarcinoma MCF-7 cells were used to assess the antitumor effect of tryptanthrin in vitro. MTT assay and colony formation assay were carried out to monitor the antiproliferative effect of tryptanthrin (1.56~50.0 μmol L−1) on inhibiting the proliferation and colony formation of MCF-7 cells, respectively. The migration and invasion of MCF-7 cells were evaluated by wound healing assay and Transwell chamber assay, respectively. Moreover, the 4T1 murine breast cancer model was established to examine the pharmacological activity of tryptanthrin, and three groups with different doses of tryptanthrin (25, 50 and 100 mg kg−1) were set in study. Additionally, tumor volumes and organ coefficients were measured and calculated. After two weeks of tryptanthrin treatment, samples from serum, tumor tissue and different organs from tumor-bearing mice were collected, and the enzyme-linked immunosorbent assay (ELISA) was performed to assess the regulation of inflammatory molecules in mouse serum. Additionally, pathological examinations of tumor tissues and organs from mice were evaluated through hematoxylin and eosin (H&E) staining. The expression of inflammatory proteins in tumor tissues was measured by immunohistochemistry (IHC) and Western blotting. Tryptanthrin inhibited the proliferation, migration and invasion of MCF-7 cells, up-regulated the protein level of E-cadherin, and down-regulated those of MMP-2 and Snail, as suggested by the MCF-7 cell experiment. According to the results from in vivo experiment, tryptanthrin was effective in inhibiting tumor growth, and it showed favorable safety without inducing the fluctuations of body mass and organ coefficient (p > 0.05). In addition, tryptanthrin also suppressed the expression levels of NOS1, COX-2 and NF-κB in mouse tumor tissues, and regulated those of IL-2, IL-10 and TNF-α in the serum of tumor cells-transplanted mice. Tryptanthrin exerted its anti-breast cancer activities through modulating the inflammatory TME both in vitro and in vivo.

The monitoring video images of underground coal mine have problems such as poor quality, noisy and being susceptible to sudden changes in illumination. The traditional Gaussian mixture model for target detection has problems such as slow running speed, high algorithm complexity and susceptibility to illumination. In order to solve the above problems, an underground target detection algorithm based on improved Gaussian mixture model is proposed. The improved dark channel defogging algorithm is applied to preprocess the underground image, finding the dark channel map for the thumbnail of the underground fog map, and using bilinear interpolation to obtain the defogging image. Based on the Gaussian mixture model, an improved block modeling strategy is used to reduce the modeling complexity and improve the algorithm running speed. Combined with the three-frame difference method, different learning rates are set for the early and late Gaussian modeling according to the proportion of the image foreground to suppress the influence of illumination on target detection and improve the modeling speed and accuracy. The experimental results show that when the illumination changes suddenly, the algorithm proposed in this paper can still describe the detection object well, and has a significant suppression effect on illumination changes. Compared with the three-frame difference method and the traditional Gaussian mixture model, the proposed algorithm can improve the processing speed effectively.

In this article, we study the constrained matrix approximation problem in the Frobenius norm by using the core inverse:||Mx−b||F=minsubjecttox∈ℛ(M),||Mx-b|{|}_{F}=\hspace{.25em}\min \hspace{1em}\text{subject}\hspace{.25em}\text{to}\hspace{1em}x\in {\mathcal R} (M),where M∈ℂnCMM\in {{\mathbb{C}}}_{n}^{\text{CM}}. We get the unique solution to the problem, provide two Cramer’s rules for the unique solution and establish two new expressions for the core inverse.

For the faults of hydropower unit with strong coupling and uncertainty,the traditional fault expression method based on the uniform feature vector is easy to submerge the effect of fault expression and limit the fault diagnosis accuracy and timeliness directly.Given this,we presented a bionic fault diagnosis method,which imitates the human brain thinking and proposes the concept of dependent feature vector（DFV）,which logical structure is described by feature selection tree and extracted by feature extraction tree.DFV deeply excavates the intricate relationship between faults by using its nested structure,and realizes the comprehensive mining of the quantity and quality differences between faults of hydroelectric units.It deeply reveals the intrinsic relationship between different faults and faults and features,effectively extracts the essential differences of different faults,and improves the validity of fault expression.Furthermore,the intelligent classification method is realized by combining DFV and probabilistic neural network,the experimental results show that the method can complete the fault diagnosis of hydropower units and achieve excellent diagnostic validity and timeliness.

Background: The coronavirus disease 2019 (COVID-19) had become a health care event endangering humans globally. It takes up a large number of healthcare resources. We studied the impact of COVID-19 on patients with ovarian cancer by comprehensively analyzing their admissions before and after the epidemic, and made reasonable suggestions to improve their current situation.Methods: We randomly divided the enrolled patients into three groups, PreCOVID-19 Group (PCG) (2019.8.20–2020.1.20), COVID-19 Group (CG) (2020.1.21–2020.6.14), and Secondary Outbreak COVID-19 Group (SOCG) (2020.6.15–2020.10.10). One-way ANOVA and chi-square test were used for analysis.Results: The number of patients from other provinces decreased significantly (p < 0.05). The total hospital stay during the epidemic was substantially more extended (p < 0.05). Before the epidemic, our department performed more open surgery while during the epidemic outbreak, we tended to choose laparoscopy (p < 0.01). We took a longer surgery time (P < 0.05). Patients had significantly less post-operative fever during the epidemic (p < 0.001).Conclusion: During the COVID-19 epidemic, no patient was infected with COVID-19, and no patient experienced severe post-operative complications. We recommend maintaining the admissions of patients with ovarian cancer during the epidemic following the rules: 1. The outpatients must complete a nucleic acid test and chest CT in the outpatient clinic; 2. Maintain full daily disinfection of the ward and insist that health care workers disinfect their hands after contact with patients; 3. Increase the use of minimally invasive procedures, including laparoscopy and robotics; 4. Disinfect the ward twice a day with UV light and sodium hypochlorite disinfectant; 5. Patients need to undergo at least three nucleic acid tests before entering the operating room.

Considering concrete nonlinearity, the wave height limit between small and large amplitude sloshing is defined based on the Bernoulli equation. Based on Navier-Stokes equations, the mathematical model of large amplitude sloshing is established for a Concrete Rectangle Liquid-Storage Structure (CRLSS). The results show that the seismic response of a CRLSS increases with the increase of seismic intensity. Under different seismic fortification intensities, the change in trend of wave height, wallboard displacement, and stress are the same, but the amplitudes arc not. The areas of stress concentration appear mainly at the connections between the wallboards, and the connections between the wallboard and the bottom.

In the early stage of vocal music education, students generally do not understand the structure of the human body, and have doubts about how to pronounce their voices scientifically. However, with the continuous development of computers, computer technology has become more and more developed, and computer processing speed has been greatly increased, which provides favorable conditions for the development of the application of vocal spectrum analysis technology in vocal music teaching. In this paper, we first study the GMM-SVM and DBN, and combine them to extract the deep Gaussian super vector DGS, and further construct the feature DGCS on the basis of DGS; then we study the convolutional neural network (CNN), which has achieved great success in the image recognition task in recent years, and design a CNN model to extract the deep fusion features of vocal music. The experimental simulations show that the CNN fusion-based speaker recognition system achieves very good results in terms of recognition rate.

Depression is a world-wide psychological disease and millions of people suffer from it. The illness is basically characterized by low mood with some other diverse manifestations. The mutation in the gene sequence of Tryptophan hydroxylase 2 (TPH2) is one of the several possible causes of the depression, which results in the changed structure and function of TPH2, and then affects the synthetic process of 5- hydroxtrytamine (5-HT), so-called serotonin. The low level of 5-HT contributes to depression eventually, which has been tested by the animal model. This review purports to discuss the emerging relevance between TPH2 and depression as well as signaling pathways mediated by the gene expression, after that some therapeutic methods will be mentioned. It’s an urgency to understand the pathogenesis of depression and find more effective therapies, but there still remains a large amount of efforts to make and many mysteries to explore, thereby it is still a long way to go.

Graphene materials with excellent mechanical and physical properties as well as two-dimensional flexible morphology are ideal reinforcement nanofillers for aluminum matrix nanocomposites. Rapid progress in graphene materials and nanocomposites fabricating technology promotes the development of advanced graphene reinforced aluminum matrix nanocomposites for structural and functional applications. Nevertheless, the dispersion of graphene nanofillers within aluminum matrix and the interfacial controlling between them remain longstanding challenges in the fabrication of graphene reinforced aluminum matrix nanocomposites. This paper focused on the recent development of the fabrication and characterization of graphene reinforced aluminum matrix nanocomposites, including the dispersion and consolidation technology of graphene reinforced aluminum matrix nanocomposites as well as their structural characters and mechanical behaviors. The mechanical performances of aluminum matrix were remarkably enhanced by the introduction of graphene, which can increase further by optimizing process parameters, improving microstructure and controlling interface between aluminum and graphene. Furthermore, in order to realize the engineering application, more investigation should be given on the corrosion, thermal and electrical properties. It is also very important to develop a new method with low cost and large-scale production. As a novel 2-dimension structure and unique surface state of graphene, the reinforcing and toughening mechanism was discussed.

An enormous amount of acid gas, containing carbon dioxide (CO2) and hydrogen sulfide (H2S), is generated in the exploitation of oil and gas reservoirs in the Tarim Basin, China. An appropriate management plan is required to safely dispose of the acid gas, and common strategy considered for the safe disposal of acid gas is the injection of it into deep formations – this strategy mitigates greenhouse gas emissions and avoids costs associated with desulfurization. A feasibility assessment of acid gas injection requires a detailed investigation of the potential physical and geochemical impacts. Reactive transport simulations based on the mineralogical composition and the hydrochemical characteristics of a carbonate formation in the Tarim Basin were conducted to identify the physical and geochemical interactions of acid gas with the mineral matrix and formation water. Acid gas (59% CO2 and 41% H2S) was injected at a constant rate of 19 200 Nm3/d for 25 years, and the simulation was run by the TMVR_EOSG module of the TOUGHREACT code for a period of 10 000 years. The results indicate that the minimum liquid saturation is much larger than the residual water saturation, and the pressure buildup is below the allowable pressure increase. Additionally, the porosity change is found to be negligible due to the small changes in calcite and quartz in the volume fraction. From this perspective, acid gas injection in the carbonate formation of the Tarim Basin seems feasible. Furthermore, the fast breakthrough of CO2 can provide an advanced warning of a potential breakthrough of acid gas. Last, the injection rate can be increased to accelerate acid gas trapping, and the results could be used as guidance for future acid gas injection operations.

Many aircraft structures are in thermal and vibration composite environment,and the two both should be taken into account in structural optimization design. Thermal environment influences the structural dynamic characteristics on the change of structural stiffness matrix,and then changes of the structure natural frequency. Basing on the analysis of structural dynamics in thermal environment optimization model was built both for uniform temperature field and thermal conduction structure Considering the manufacture process, the model optimizes the dynamic characteristics of structure. Results suggest that optimization considering the thermal environment of structural dynamics characteristics can improve the structure natural frequency and then keep the natural frequency away from the range of external excitation frequency to avoid resonance phenomenon caused by the change of the structural natural frequency resulting in thermal environment.