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Hepatocellular carcinoma (HCC) is among the most common malignant liver tumors. Despite progress in anticancer drugs and surgical approaches, early detection of HCC remains challenging, often leading to late-stage diagnosis where rapid disease progression precludes surgical intervention, leaving chemotherapy as the only option. However, the systemic toxicity, low bioavailability, and significant adverse effects of chemotherapy drugs often lead to resistance, rendering treatments ineffective for many patients. This article outlines how nanoparticles, following functional modification, offer high sensitivity, reduced drug toxicity, and extended duration of action, enabling precise targeting of drugs to HCC tissues. Combined with other therapeutic modalities and imaging techniques, this significantly enhances the diagnosis, treatment, and long-term prognosis of HCC. The advent of nanomedicine provides new methodologies and strategies for the precise diagnosis and integrated treatment of HCC.

Heart failure (HF) is a syndrome of symptoms and signs caused by cardiac insufficiency and have become a serious global health problem. The aim of this study is to clarify the role and mechanism failure of MIR17HG. We established the in vitro HF model by using H2O2-treated AC-16 and HCM cells, and the reactive oxygen species (ROS) level and natriuretic peptide precursor B (NPPB) expression were also detected. The RNA expression of MIR17HG, miR-153-3p, SIRT1, and NPPB were detected by quantitative reverse transcription PCR while the SIRT1 and NPPB expression were detected by western blot. The binding relationship among MIR17HG, miR-153-3p, and SIRT1 were assessed by dual-luciferase reporter assay and RNA binding protein immunoprecipitation assay. Then, MIR17HG and SIRT1 were overexpressed by lentivirus transfection, and the influence of MIR17HG and SIRT1 on H2O2-induced apoptosis mediated by p53 were evaluated. The results show that MIR17HG and SIRT1 were significantly downregulated, while miR-153-3p was significantly upregulated in HF model. Overexpression of MIR17HG reduced miR-153-3p and alleviated HF, while knockdown of SIRT1 weakened the effects of MIR17HG, suggesting that SIRT1 was the direct target of MIR17HG/miR-153-3p axis. MIR17HG is significantly downregulated in HF model. Our research shows that MIR17HG protects cardiomyocytes from ROS-induced damage via the MIR17HG/miR-153-3p/SIRT1 axis, suggesting that MIR17HG and SIRT1 are potential therapeutic targets in HF.

Tertiary lymphoid structures (TLS) are ectopic lymphoid structures found in non-lymphoid tissues under chronic inflammatory conditions in recent years. Similar to lymph nodes, TLS primarily consist of B lymphocytes, T lymphocytes, and dendritic cells. TLS are also the direct sites where antitumor immune responses are initiated. Within tumors, TLS promote the aggregation of immune cells, particularly effector T cells and B cells, to the tumor microenvironment, providing an important local site for cellular and humoral antitumor immune responses. This underscores their potential to predict favorable patient prognosis and positive responses to immune therapies. This review provides an overview of assessing and characterizing tumor-associated TLS, detailing their structural elements, composition, and the factors driving their formation. Furthermore, it explores TLS as promising biomarkers in tumor immunotherapy and their prospective clinical applications. The review also addresses the challenges and future prospects of TLS in the context of tumor immunotherapy.

Photothermal therapy (PTT) of nanomaterials is an emerging novel therapeutic strategy for breast cancer. However, there exists an urgent need for appropriate strategies to enhance the antitumor efficacy of PTT and minimize damage to surrounding normal tissues. Piezo1 might be a promising novel photothermal therapeutic target for breast cancer. This study aims to explore the potential role of Piezo1 activation in the hyperthermia therapy of breast cancer cells and investigate the underlying mechanisms. Results showed that the specific agonist of Piezo1 ion channel (Yoda1) aggravated the cell death of breast cancer cells triggered by heat stress in vitro. Reactive oxygen species (ROS) production was significantly increased following heat stress, and Yoda1 exacerbated the rise in ROS release. GSK2795039, an inhibitor of NADPH oxidase 2 (NOX2), reversed the Yoda1-mediated aggravation of cellular injury and ROS generation after heat stress. The in vivo experiments demonstrate the well photothermal conversion efficiency of TiCN under the 1,064 nm laser irradiation, and Yoda1 increases the sensitivity of breast tumors to PTT in the presence of TiCN. Our study reveals that Piezo1 activation might serve as a photothermal sensitizer for PTT, which may develop as a promising therapeutic strategy for breast cancer.

Background: Patients with unprotected left main (UPLM) disease who underwent percutaneous coronary intervention (PCI) were found to have inconsistent results compared to those treated with coronary artery bypass grafting (CABG). Methods: We identified and enrolled randomized controlled trials (RCTs) and observational studies (OSs) comparing PCI versus CABG for UPLM disease. A meta-analysis was performed using Stata 17.0. The primary endpoints were major adverse cardiovascular and cerebrovascular events (MACCEs). Additionally, all-cause death, cardiac death, myocardial infarction (MI), stroke, target vessel revascularization (TVR), and stent thrombosis (ST) were included as secondary endpoints. The odds ratios and 95% confidence intervals (CIs) were calculated. Sensitivity analyses were implemented if I2 > 50% or p < 0.01. Publication bias analysis was conducted if more than 10 studies were included. Results: A total of 5 RCTs and 18 OSs involving 35,409 patients were included. The CABG strategy had a significantly lower incidence of MACCEs, primarily due to TVR. A significantly lower stroke rate was observed with the PCI strategy, as well as a significantly lower all-cause death, cardiac death, MI, and ST rate compared with the CABG strategy. Conclusions: MACCE rates were significantly lower in patients who underwent CABG, primarily due to TVR, but stroke rates were higher. RCTs with different study types need further investigation to confirm the most effective strategy.

This paper firstly analyzes the network topology model of the UAV cluster network and wireless 5G communication channel model by modeling and briefly analyzes the idea of topology movement control for flying self-organized networks. Then, a cluster-based structure and reinforcement learning clustered routing protocol is proposed for the problem of easy breakage of routing forwarding paths caused by smart inspection of transmission lines based on UAV clusters for 5G communication. Finally, a cluster structure-based precedence routing protocol is designed, an adaptive routing protocol based on location and link quality Q-learning is used between clusters, and fast and reliable routing is achieved by combining the routing table maintained by itself. The simulation results show that ARP-L-Q (average end-to-end delay 4.22, average packet loss rate 88.09%, average packet rate 2.37, average control overhead 2.52) protocol performs better than GPSR and GACB protocols, and the experiment verifies that ARP-L-Q protocol can better achieve the high dynamic reconfiguration, high stability and reliability, and low communication delay of UAV cluster-based 5G communication network. Characteristics and requirements. This study has application prospects in both civil emergency and military mobile communication and has certain military significance, theoretical value and application value for thus promoting UAV innovation.

The pathogenesis of Parkinson’s disease (PD) remains unclear. Among the pathological manifestations is the progressive degeneration of the nigrostriatal dopaminergic pathway, leading to massive loss of neurons in the substantia nigra pars compacta and dopamine (DA) depletion. Therefore, the current drug treatment is primarily based on DA supplementation and delaying the progression of the disease. However, as patients’ symptoms continue to worsen, the drug effect will gradually decrease or even disappear, thereby further aggravating clinical symptoms. Gas signaling molecules, such as hydrogen sulfide (H2S), nitric oxide (NO), carbon monoxide (CO), and hydrogen (H2), exhibit pleiotropic biological functions and play crucial roles in physiological and pathological effects. In common neurodegenerative diseases including Alzheimer’s disease and PD, gas signal molecules can prevent or delay disease occurrence via the primary mechanisms of antioxidation, anti-inflammatory response, and antiapoptosis. This article reviews the therapeutic progress of gas signaling molecules in PD models and discusses the possibility of their clinical applications.

Energy is an important component of urban carbon emissions. Assessing the peak of urban energy carbon is a necessary means to implement the national “double carbon” strategy. For this reason, this paper proposes an energy carbon peaking assessment method based on Mann-Kendall trend test for carbon emission of urban energy. By constructing a carbon monitoring system covering elements such as energy carbon emissions, clean energy generation, and transportation electric energy substitution, the total energy carbon emissions of the city are calculated by combining historical data. In view of the seasonality and randomness of energy carbon emissions, the Mann-Kendall trend test was used to establish a model for determining urban energy carbon peaking and to measure regional carbon emissions in different periods. Taking an administrative region in Shanghai as an example, the peak status of energy carbon in this region is judged from the perspective of year and quarter. The results show that based on the annual data, the region has reached its peak energy carbon in 2020. Based on quarterly data, peak energy carbon has been achieved in summer and autumn, while spring and winter are still in plateau. The methods proposed in this paper can be used to assess the carbon peak status in the city, and provide a reference for examining the carbon peak process in other provinces and cities.

Objective: This study aims to explore the impact of nano-hydroxyapatite (na-HA) and micron-hydroxyapatite (mi-HA) on human umbilical vein endothelial cells (HUVEC) using in vitro experiments, assessing their influence on cellular biological activity. These findings offer crucial experimental data for informing the development of more vascularized tissue-engineered bone constructs. Methods: We employed the Cell Counting Kit-8 (CCK-8) assay to assess the impact of various concentrations of both HA extracts on HUVEC metabolic activity post 48, 72, and 96 h of treatment. Transwell experiments were conducted to evaluate the influence of HA extract on HUVEC migratory capabilities. The cell proliferation activity was assessed using the 5-ethynyl-2′-deoxyuridine (EdU) incorporation assay, elucidating the impact of varying concentrations of both HA extracts on cell proliferation. Lumen formation experiments were conducted to assess the capacity of HA-treated HUVECs to form lumen-like structures. The Enzyme-Linked Immunosorbent Assay (ELISA) was employed to measure the impact of HA extract on vascular endothelial growth factor (VEGF) secretion by HUVECs. Western blotting (WB) was utilized to analyze alterations in the expression levels of PI3K/Akt signaling pathway-related proteins following HA extract treatment of cells. Results: At extract concentrations of 100 g/L and 12.5 g/L, both the mi-HA and na-HA groups demonstrated suppression of cell metabolic activity, migration, and proliferation. Conversely, at 25 g/L, increased cell metabolic activity and proliferative activity were observed. Lumen formation experiments demonstrated that both HA extracts at 100 g/L concentration facilitated lumen formation, with the na-HA group at 25 g/L concentration displaying a more pronounced impact on lumen formation. The ELISA results indicated a notable reduction in VEGF secretion within the mi-HA group at a concentration of 100 g/L. WB experiments revealed that within the na-HA group, treatment of HUVECs with 25 g/L and 12.5 g/L extract concentrations led to upregulation of PI3K and Akt protein expression, while at 100 g/L concentration, Akt protein expression decreased. In the mi-HA group, intracellular expression of both PI3K and Akt proteins exhibited reduction. Conclusion: Hydroxyapatite extract at both high and low concentrations impacts the biological activity of vascular endothelial cells, with the potential mechanism of action involving the PI3K/Akt signaling pathway.

The shaft is a key project, including the mining of shaft engineering minerals and the development and utilization of underground space. As the lower part of the proposed shaft has the advantage of a production system, the use of gravity slag removal is one of the important directions for the development of large-diameter shaft drilling technology. Aiming at the problems such as discontinuous slag discharge, low efficiency, and difficult to cooperate with the rock breaking process, the bucket type slag discharge technology exists. It is necessary to explore how to change the slag discharge mode of the working face during shaft sinking. The gravity slag removal process can improve the efficiency of shaft sinking, that is, through the pre establishment of a small diameter pilot shaft connecting the upper and lower levels of the proposed shaft, or when the upper horizontal construction conditions are not available, the pilot shaft can be directly drilled upward horizontally under the shaft. Under the action of gravity, the crushed rock slag will fall directly to the lower level and then be transported and discharged by loading equipment. Firstly, the applicability and limitation of the slag removal technology with positive and reverse fluid circulation in mechanical rock breaking drilling are discussed. Based on the weight of rock slag, the process of gravity slag removal is proposed. The development status of mechanical rock breaking and gravity slag removal technologies such as large-diameter shaft raise drilling, direct upward raise drilling and pilot shaft boringare analyzed.The problems faced by mechanical rock breaking drilling technology based on gravity slag removal at this stage, such as efficient crushing, stable and reliable drilling tools, controllable drilling deflection, and intelligent drilling, are summarized. The technical processes and equipment of pilot hole drilling, pilot shaft drilling, drilling and blasting expansion, raise shaft drilling expansion, raise shaft drill expansion and shaft boring machine expansion are systematically sorted out. A comprehensive well completion process system with different process combinations has been established. Mechanical rock breaking shaft sinking technology based on gravity slagging will continue to play an important role in the construction of large-diameter shafts in coal mines, metal mines, hydropower, transportation and other fields, and provide reference and reference for the technical development of unmanned, mechanized and intelligent shaft construction.

An important function of the blood–brain barrier (BBB) is to protect the central nervous system and maintain its homeostasis, but it is also a major barrier to the intervention and treatment of neurological diseases. Our study aimed at opening the BBB using a noninvasive method, focused ultrasound, screening for 16 different parameter combinations of frequency, peak voltage (Ppeak) and irradiation time. Comparing the results of hematoxylin–eosin staining, serum oxidative damage factor and TUNEL staining under various conditions, we obtained a parameter combination that did not lead to oxidative stress injury and apoptosis: 0.8 mHz + 900 mVpp + 90 s. It will be used as a safety parameter for BBB opening treatment of Parkinson’s disease in our subsequent experiments. In addition, the closing time after the BBB opening was verified in magnetic resonance imaging contrast examination and at the tissue level. It is worth mentioning that, different from previous studies, we focused on damage assessment at cellular and molecular levels.

Abstract The insulation pull rod is the main transmission mechanism of the circuit breaker. In addition to strong electrical performance, it should also have strong mechanical properties. Studying the dynamic characteristics and response insulation pull rods during opening and closing operation and exploring the changes in mechanical characteristics of insulation pull rods during multiple openings and closings are of great significance. In this paper, a 252kV GIS circuit breaker simulator is used to carry out an opening and closing impact fatigue test on an insulation pull rod. The strain signals of the insulation pull rod during the opening and closing stages are obtained. The strain distribution of insulation pulls rod and the influence of operation times on strain are analyzed. The results show that the force on the pull rod is uneven during operation. The force on the mechanism side and contact side is small, and the force on the rod body is large. Also, the pull rod is unstable and bent under pressure force. The impact response frequency is mainly distributed between 0∼1500Hz. With the increase in operation times, the low‐frequency component of frequency response basically remains unchanged, while the high‐frequency component decreases. After 10000 times opening and closing operations, there was no obvious mechanical loss on the pull rod, but the mechanical properties decreased. The research results can provide reference and basis for the formulation of the performance test method, and specifications of insulating rod materials.

针对小样本条件下多元时间序列之间的关联分析问题, 提出了一种小样本概率关联度模型。使用样本函数或样本统计量代替样本构造累积经验分布函数并计算概率关联系数。当比较序列样本容量n < 5, 使用样本顺序统计量的经验分布函数计算概率关联系数; 当比较序列样本容量n≥5, 使用Bootstrap方法重抽样扩充样本后再构造经验分布函数计算概率关联系数, 改进了概率关联度模型中关联系数的计算方法, 解决了小样本条件下这一类多元数据关联分析问题。证明了小样本概率关联度模型满足的基本性质, 给出了小样本概率关联分析的基本步骤, 仿真案例和实际应用验证了文中模型的正确性和有效性。

Breast cancer (BC) is a malignant tumor with the highest incidence among women. Surgery, radiotherapy, and chemotherapy are currently used as the first-line methods for treating BC. Sonodynamic therapy (SDT) in combination with sonosensitizers exerts a synergistic effect. The therapeutic effects of SDT depend on factors, such as the intensity, frequency, and duration of ultrasound, and the type and the biological model of sonosensitizer. Current reviews have focused on the possibility of using tumor-seeking sonosensitizers, sometimes in combination with different therapies, such as immunotherapy. This study elucidates the therapeutic mechanism of interaction between SDT and tissue as well as the current progress in medical applications of SDT to BC.

Existing calculation methods of carbon emission cannot well meet the needs of gradual refinement and real-time of carbon emission regions. In order to ensure the real-time and accuracy of carbon emissions responsibility allocation, a real-time calculation method of carbon emissions in urban regions is proposed. The improved K-means clustering algorithm is used to cluster and combine the operating periods and operating scenarios of the urban area energy load,so as to obtain the typical carbon emission characteristics. The regional unit electricity carbon emission is proposed as a carbon emission indicator, the operating period and scenario are classified, and the unit electricity carbon emission and the total carbon emission of urban regions for each cluster are calculated. The proposed algorithm is verified based on part of the historical data of energy consumption in the energy brain of a certain region in eastern China. The results show that the clustering method and carbon emission indicators can effectively calculate the total carbon emission of urban regions in real-time.

Electronics manufacturing is a pillar industry of strategic importance for China’s economy. As the supply and ecological chains of global electronics manufacturing industry are currently being reshaped, conducting research on back-end electronics manufacturing equipment and their key components becomes extremely important for the high-quality development of the electronics manufacturing industry in China. This study analyzed the development status and trends of the back-end electronics manufacturing equipment industry in China and abroad and summarized the international technological competition characteristics of the industry, that is, the pursuit of high density and miniaturization of electronic devices as well as high efficiency and low cost in the manufacturing process. The electronics manufacturing equipment industry of China faces problems such as weakness in independent and fundamental technologies, a single market competition model, and severe dependence in imports. Additionally, 12 major technical fields and fundamental contents that China needs to focus on were summarized from the aspects of key processes, core equipment, and components. Empirical analysis was conducted on four typical electronics manufacturing enterprises to summarize their development strategies and experiences. The significance of innovation, key technologies, and market iteration for the development of related enterprises were clarified. Furthermore, corresponding countermeasures for the development of China’s back-end electronics manufacturing equipment and their components were proposed from the aspects of top-level design, industrial layout, market competition, enterprise development, technological innovation, and talent training.

The polymer with imine bonds (C═N) synthesized by condensation of aldehydes and amines was called polyimine. Graphene nanoplatelets (GNPs) were blended into polyimine by imine dynamic chemistry, and GNPs/polyimine (GNPs-P) composites were fabricated by heat-pressing. A series of thermal and mechanical properties have been tested for the matrix and GNPs-P composites. Thermogravimetric analyzer showed that the GNPs were able to improve the thermal stability of the GNPs-P composites. From the test of mechanical properties, GNPs-P composite with 0.5 wt% GNPs was superior to the matrix in bending and tensile properties. The bending and tensile strengths were 92.65 and 73.05 MPa, with an improvement of 18% and 5%. GNPs-P composites with 1 wt% GNPs showed the most significant advancement in impact properties, reaching an impact strength of 11.745 kJ·m−2 with a gain of 21.6%. Cross-sectional observations using scanning electron microscope proved that the GNPs-P composites have brittle fractures. A small number of GNPs could synergize with the matrix by bridging the cracks, creating a crack diffusion resistance and a load transfer reinforcement effect, which improved the mechanical properties of the GNPs-P composites.

The fundamental extraction principle, production process, and instrument of the subcritical fluid (including water) technology in terms of the aquatic products materials were introduced in this review, and the academic progress of SFE technology in extracting and separating nutritional components from the aquatic products within the recent 10 years were summarized, in terms of proteins/peptides, lipids and polysaccharides from aquatic products. The advantages of different processing factors for the extraction of specific components were summarized, and the future development direction of SFE equipment and technology in the deep processing of aquatic products was prospected.

Given inadequate smoke abatement measures in the case of underground cable fire， a high-power ultrasonic transducer that can work in the air is designed using numerical simulation technology. The transducer is used as an ultrasonic sound source to experimentally investigate the acoustic agglomeration effect of eliminating cable smoke particles. The change of transmittance and visibility of solid and liquid phase fire smoke is studied. The results show that the transducer works stably with resonance frequency being 20 kHz and the sound pressure level up to 150 dB. The high-power ultrasonic field can quickly increase the light transmittance and visibility of the cable fire smoke. When the fire smoke consists of solid-phase particles， after 50 s of action time， the visibility of the fire field can reach the personnel escape threshold. For fire smoke dominated by liquid phase particles， the personnel escape threshold can be reached at only 12 s.

The most basic and direct method for simulation model validation is to compare the consistency of missile flight data and simulation data under the same input conditions. However, the existing dynamic data consistency analysis methods are mainly suitable for the case between 1-D missile flight data and 1-D simulation data, and do not conform to the consistency test of single sample flight data and multi-sample simulation data in equipment qualification/finalization test. To solve this problem, a simulation model validation method based on probabilistic relational analysis is proposed. The consistency of output data is measured from the two scales of probability relational coefficient and probability relational degree. The probability relational coefficient is determined by calculating the cumulative distribution probability value of real missile flight samples in the distribution function constructed by simulation data. The probability correlation degree is calculated by judging whether the probability relational coefficient satisfies the uniform distribution of[0 1]. The consistency analysis problem of a kind of dynamic data association is solved accordingly. The correlation theorem that the probability relational degree must satisfy and its property are proved. Meanwhile the operation steps of simulation model verification based on probability correlation analysis are given. This method can process all multi-dimensional simulation data at the same time, and integrate the random factors in the test process, so it can make full use of the test information under the condition of small sample flight test, and improve precision and the reliability of simulation model verification. The rationality and validity of this method are further verified by numerical tests and application examples.

As a non-invasive neuromodulation technology, transcranial magnetic stimulation (TMS) shows great potential in the treatment of mental diseases. Using TMS to stimulate deep brain targets has significant scientific research value for the exploration of the causes of psychiatric diseases. However, the focalized induced electrical field (E-field) generated by traditional TMS coils or coil arrays is largely restricted to superficial cortical targets. To achieve focalized stimulation in the deep brain, a novel spatially symmetric array based on curved θ-type coils (the θ-SSA) is proposed in this paper. Four θ-type coils in the array are symmetrical to the YZ and XZ planes. Each θ-type coil is placed tangent to the human scalp and bent away from the human head to reduce the non-longitudinal component accumulation of the induced E-field and enhance the stimulation focalization. The finite-element method is used to obtain the 3D spatial distributions of the intracranial induced E-field generated by the proposed array. Results show that the θ-SSA can form an obvious focusing area in the deep brain 11 cm below the scalp. Under identical stimulation current excitation, the θ-SSA can increase the intracranial longitudinal attenuation ratio by 77% compared to the traditional TMS coil. In addition, when generating the same focusing area, the stimulation depth of the θ-SSA is 1.67 times deeper than that of the traditional TMS coil. Meanwhile, the proposed array can dynamically steer the intracranial stimulated area, and the spatial coordinates of the intracranial stimulation target point can be flexibly and continuously adjusted when changing the stimulation current parameters applied to the array. An anatomically realistic human head model with gray matter is employed in this paper to verify our method.

With the support of advanced measurement technologies and regulation terminals,demand-side flexible resources such as electric vehicles and air-conditioning loads in smart buildings have good power response potential in real time and can be aggregated to form virtual power plants to participate in frequency regulation auxiliary service of the system. To protect the needs of users when virtual power plants participate in frequency regulation auxiliary services,a control strategy for smart building-based virtual power plants is proposed in this paper. Firstly,the frequency regulation operation mode of the virtual power plant is analyzed,and a typical demand-side resource model and virtual energy storage model of the smart building-based virtual power plants are established. Secondly,considering the uncertainty of frequency regulation signal and user side,a day-ahead optimal scheduling model based on opportunity constrained planning is established. Then the real-time power allocation is realized based on the principle of cost optimization. Finally,the effectiveness and feasibility of the frequency regulation strategy of the virtual power plants proposed in this paper are verified by simulation calculations,and the joint scheduling of demand-side resources can improve the revenue of the virtual power plants while safeguarding the needs of users.

IntroductionSystemic lupus erythematosus (SLE) is a chronic autoimmune disease for which there is no cure. Effective diagnosis and precise assessment of disease exacerbation remains a major challenge.MethodsWe performed peripheral blood mononuclear cell (PBMC) proteomics of a discovery cohort, including patients with active SLE and inactive SLE, patients with rheumatoid arthritis (RA), and healthy controls (HC). Then, we performed a machine learning pipeline to identify biomarker combinations. The biomarker combinations were further validated using enzyme-linked immunosorbent assays (ELISAs) in another cohort. Single-cell RNA sequencing (scRNA-seq) data from active SLE, inactive SLE, and HC PBMC samples further elucidated the potential immune cellular sources of each of these PBMC biomarkers.ResultsScreening of the PBMC proteome identified 1023, 168, and 124 proteins that were significantly different between SLE vs. HC, SLE vs. RA, and active SLE vs. inactive SLE, respectively. The machine learning pipeline identified two biomarker combinations that accurately distinguished patients with SLE from controls and discriminated between active and inactive SLE. The validated results of ELISAs for two biomarker combinations were in line with the discovery cohort results. Among them, the six-protein combination (IFIT3, MX1, TOMM40, STAT1, STAT2, and OAS3) exhibited good performance for SLE disease diagnosis, with AUC of 0.723 and 0.815 for distinguishing SLE from HC and RA, respectively. Nine-protein combination (PHACTR2, GOT2, L-selectin, CMC4, MAP2K1, CMPK2, ECPAS, SRA1, and STAT2) showed a robust performance in assessing disease exacerbation (AUC=0.990). Further, the potential immune cellular sources of nine PBMC biomarkers, which had the consistent changes with the proteomics data, were elucidated by PBMC scRNAseq.DiscussionUnbiased proteomic quantification and experimental validation of PBMC samples from two cohorts of patients with SLE were identified as biomarker combinations for diagnosis and activity monitoring. Furthermore, the immune cell subtype origin of the biomarkers in the transcript expression level was determined using PBMC scRNAseq. These findings present valuable PBMC biomarkers associated with SLE and may reveal potential therapeutic targets.

Objective: This study aimed to explore the best thawing method of squid in storage and processing. Methods: Three kinds of squid were thawed by four thawing methods: low temperature thawing, ultrasonic thawing, flowing water thawing and hydrostatic thawing. The changes of sensory quality, texture characteristics, thawing loss rate, cooking loss rate, volatile base total nitrogen (TVB-N value), thiobarbituric acid value (TBARS value) and salt-soluble protein content (SSP value) of different squid were investigated during the thawing process. Results: Ultrasonic thawing took the shortest time, but thawing loss rate was high and the juice loss was serious; The low temperature thawing time was too long, with high TBARS value but poor quality; The loss rates of hydrostatic thawing and cooking were high, and the phenomena of protein degradation and fat oxidation were serious; The mastication of squid was better under flowing water thawing, and the loss rate of thawing was relatively low, and the characteristics of muscle structure were maintained well. Conclusion: Flow water thawing is the most suitable thawing method for squid.

Since the outbreak of Corona Virus Disease 2019 (COVID-19), 2.1% of the world's populationhas been infected and millions of people have died. COVID-19 has become the most serious public health problemthroughout the world. Immune system is very important to control and eliminate SARS-CoV-2. The imbalance ofimmune responses aggravates lung tissue inflammatory injury and other organ damages. Here, we elaborate the pro‐cess of SARS-CoV-2 infection, the innate and adaptive immune response of host cells against SARS-CoV-2, theclassification and preparation of SARS-CoV-2 vaccines, and immunotherapy drugs from the perspective of im‐mune mechanism, which provides a scientific basis for the diagnosis, condition monitoring, treatment and progno‐sis of COVID-19.

Objective To explore the four diagnostic information of Traditional Chinese Medicine and the distribution profile of syndrome types of common COVID-19 patients with positive nucleic acid retest after discharge in Xiaogan area, so as to provide basis for collecting experience and formulating scientific and efficient treatment regimen. Methods The clinical data of 52 cases of common COVID-19 patients with positive nucleic acid re-examination after discharge were collected from the First People's Hospital of Xiaogan City, Hubei Province with the basic information of patients, under lying diseases, four diagnosis information of Traditional Chinese Medicine and the distribution of syndrome types of Traditional Chinese Medicine. Results There were 22 cases (42.31%) showed abnormal clinical manifestations in 52 cases of common COVID-19 positive nucleic acid recheck after discharge, including 17 cases of cough (32.69%), followed by constipation, chest tightness, diarrhea, poor appetite, weakness, shortness of breath and other symptoms. The tongue was mainly dark red (50.00%), followed by light red and red. The tongue coating was mainly yellow greasy (53.85%), followed by white greasy, thin white, thin yellow and less coating. Clinical syndrome types were classified as 24 cases (46.15%) of dampness toxin stagnation lung syndrome, followed by cold dampness obstruction lung syndrome, lung spleen Qi deficiency syndrome and Qi Yin deficiency syndrome. Conclusions The syndrome differentiation of common COVID-19 patients with positive nucleic acid re-examination after discharge is mainly damp toxin stagnation of lung syndrome. The main pathogenic factors are damp and toxin, so the treatment should focus on dispelling dampness.

Background: Previous studies have reported that serum magnesium (Mg) deficiency is involved in the development of heart failure, particularly in patients with end-stage kidney disease. The association between serum Mg levels and mortality risk in patients receiving hemodialysis is controversial. We aimed to estimate the prognostic value of serum Mg concentration on all-cause mortality and cardiovascular mortality in patients receiving hemodialysis. Methods: We did a systematic literature search in PubMed, EMBASE, Cochrane Library, and Web of Science to identify eligible studies that reported the prognostic value of serum Mg levels in mortality risk among patients on hemodialysis. We performed a meta-analysis by pooling and analyzing hazard ratios (HRs) and 95% confidence intervals (CIs). Results: We identified 13 observational studies with an overall sample of 42,967 hemodialysis patients. Higher all-cause mortality (adjusted HR 1.58 [95% CI: 1.31–1.91]) and higher cardiovascular mortality (adjusted HR 3.08 [95% CI: 1.27–7.50]) were found in patients with lower serum Mg levels after multivariable adjustment. There was marked heterogeneity (I2 = 79.6%, p < 0.001) that was partly explained by differences in age stratification and study area. In addition, subgroup analysis showed that a serum Mg concentration of ≤1.1 mmol/L might be the vigilant cutoff value. Conclusion: A lower serum Mg level was associated with higher all-cause mortality and cardiovascular mortality in patients receiving hemodialysis.

The concept of “minimally invasive dentistry” aims to provide conservative treatment of cavities in which sound dentin is removed. Because the Er: YAG laser can selectively remove caries, the smear layer is removed, dentin tubules are exposed after the preparation of substrate conditioning, and its advantages of precision, safety and painlessness are deeply valued. At the same time, the bonding strength between the prepared dentin surface and the filling material is different due to the different parameters of the Er: YAG laser. In this paper, the principle of dentin bonding, the mechanism of Er: YAG laser action, after treatment of dentin with different parameters (power, energy density, pulse duration, and irradiation distance), whether there is thermal damage to pulp tissue, the ultramicro morphology of dentin surface, the bonding properties of different bonding systems and the filling materials between irradiated hard tissues were reviewed. An appropriate parameter range (power ≤ 10 Hz, energy density ≤ 60 mJ, and pulse duration ≤ 50 μs) combined with water spray cooling will not cause thermal damage to the pulp tissue, while the higher power, energy density and pulse duration of laser treatment for dentin will lead to melting, carbonization, cracks, narrowing of the gap between collagen fibers, etc., which will limit the penetration of adhesives and have a negative impact on bonding. However, whether the adhesive systems based on the smear layer are suitable for dentin after laser treatment needs to be further explored.

BackgroundImmunoglobulin A nephropathy (IgAN) is the most common form of primary glomerulonephritis. Although an important link between intestinal metabolites and immune activity is widely established, the metabolic profile of IgAN is still poorly understood, which severely limits the mechanistic studies and therapy of IgAN.MethodsThe diversity of intestinal flora and relative abundance of metabolites in IgAN patients and healthy subjects were measured by 16s ribosomal RNA gene sequencing combined with liquid chromatography tandem-mass spectrometry. The levels of serum Gd-IgA1, IL-6, IL-10, IL-22, and TNF-a were tested by ELISA. We employed the tryptophan-targeted UHPLC-MRM-MS approach to assess the content of tryptophan metabolites quantitatively.ResultsIntestinal fatty acid levels, mainly unsaturated fatty acids, were observed to be dramatically decreased in IgAN patients. Disorders in linoleic acid and arachidonic acid metabolism, metabolic imbalances of anti-/pro- inflammatory fatty acid metabolites, and intestinal AhR signaling deficiency might reflect the damage of the intestinal mucosal barrier in IgAN patients. In addition, we found that high levels of Gd-IgA1, IL-22, and TNF-α were associated with the activity of the tryptophan-kynurenine metabolic pathway, as well as lower levels of 3-indolepropionic acid. 3-indolepropionic acid, kynurenine, and indoleacrylic acid had synergistic effects on regulating immuno-inflammatory responses in IgAN patients.ConclusionsThe metabolic characteristic of fatty acids and tryptophan in the intestinal system is disturbed in IgAN patients, leading to active immune-inflammatory reactions.

Forensic palynology is to apply palynology to the field of forensic science, using pollen and spores to solve issues in juridical practice, such as civil and criminal issues. Sporopollens have a small size, wide distribution, diverse morphology, can be easily transferred, have durability, and is not easily noticed. It can provide strong investigation and related evidence for case detection as good trace evidence. The application of palynology in forensic science has achieved certain success, but it is underutilized in most countries. This paper analyzes the evidence value provided by sporopollen, collection of the sporopollen samples, the progress in detection technology and challenges ahead, based on the biological characteristics of sporopollen, combined with recent successful cases in forensic science, to comprehensively discuss the research progress in forensic palynology and its application prospects in forensic science.

Low propagation rate is the primary problem that limits industry development of tree peony. In this study, a highly efficient regeneration system for tree peony using somatic embryogenesis (SE) was established. The transcriptomes of zygotic embryo explants (S0), non-embryonic callus (S1), embryonic callus (S2), somatic embryos (S3), and regenerated shoots (S4) were analyzed to determine the regulatory mechanisms that underlie SE in tree peony. The differentially expressed genes (DEGs) were identified in the pairwise comparisons of S1-vs-S2 and S1-vs-S3, respectively. The enriched DEGs were primarily involved in hormone signal transduction, stress response and the nucleus (epigenetic modifications). The results indicated that cell division, particularly asymmetric cell division, was enhanced in S3. Moreover, the genes implicated in cell fate determination played central roles in S3. Hormone signal pathways work in concert with epigenetic modifications and stress responses to regulate SE. SERK, WOX9, BBM, FUS3, CUC, and WUS were characterized as the molecular markers for tree peony SE. To our knowledge, this is the first study of the SE of tree peony using transcriptome sequencing. These results will improve our understanding of the molecular mechanisms that underly SE in tree peony and will benefit the propagation and genetic engineering of this plant.

Scanning probe techniques have evolved significantly in recent years to detect surface morphology of materials down to subnanometer resolution, but without revealing spectroscopic information. In this review, we discuss recent advances in scanning probe techniques that capitalize on light-induced forces for studying nanomaterials down to molecular specificities with nanometer spatial resolution.

This study aimed to reveal potential roles of the phosphatidylinositol 3 kinase (PI3K)-protein kinase B (Akt)-mammalian target of rapamycin (mTOR) signaling pathway in apoptosis and autophagy of astrocytes induced by methamphetamine (METH). A Cell Counting Kit-8 (CCK-8) was used to determine the reduction in proliferation of U-118 MG cells induced by METH. Hoechst 33258 and flow cytometry were used to observe the astrocytes. Western blot analysis was performed to evaluate protein expression and phosphorylation levels. METH inhibited the proliferation of U-118 MG cells and induced apoptosis and autophagy. Western blot analysis showed that the ratio of LC3-II/I was increased, whereas the expression of Bcl-2 was decreased. The phosphorylation cascade of kinases in the PI3K-Akt-mTOR signaling pathway was significantly inhibited by METH exposure, as were proteins downstream of mTORC1, such as p70s6k, rps6, 4EBP1 and eIF4E. METH inhibited proliferation of U-118 MG cells and induced apoptosis and autophagy. The PI3K-Akt-mTOR signaling pathway likely plays a critical role in these effects.

Underground strata are reflected in various information sources in petroleum exploration, including good logging and drilling data. Real-time measurement parameters obtained from mud logging can provide data support for the early discovery of oil and gas resources and the prevention of safety accidents. It plays a forward-looking role in the drilling process. In this paper, we aim at the defection of fuzzy and random characteristics of the big data of drilling element parameters in the current drilling process. A new method named grey wolf optimization-support vector machine (GWO-SVM) is proposed by analyzing the relationship between logging data and formation to solve the serious problem of formation misjudgment. Using element content and Gamma-ray value, data mining is performed by a large number of real-time data obtained from the drilling site. The obtained information is used for comprehensive estimation and prediction of strata. First, the data is normalized, and then, the best ζ and σ values are found through the optimization of gray wolf algorithm, next the SVM training is carried out, finally, the formation prediction model is established, and the error analysis of the results was conducted. In the paper, the algorithm model is subsequently applied to three actual wells. The GWO-SVM model based on drilling data is used to predict the formation, and the error analysis showed that the error range of the GWO-SVM algorithm is within 10%. Compared with the GWO-SVM, the model accuracy of SVM, Particle Swarm OptimizationSupport Vector Machine (PSO-SVM) algorithm is lower 53% and 23%, respectively. The GWO-SVM has higher robustness, reliability, and achieves faster convergence speed, stronger generalization effect, and improves the identification accuracy of elements for the formation. The average accuracy of the GWOSVM in stratum dynamic identification is 93.5%. This model is implemented to support the logging system to improve application strength.

Anthropogenic nitrogen (N) addition has increased soil nutrient availability, thereby affecting ecosystem processes and functions in N-limited ecosystems. Long-term N addition decreases plant biodiversity, but the effects of short-term N addition on soil microbial community is poorly understood. The present study examined the impacts of short-term N addition (NH4NO3) on these factors in a sandy grassland and semi-fixed sandy land in the Horqin Sandy Land. We measured the responses of soil microbial biomass C and N; on soil β-1,4-glucosidase (BG) and β-1,4-N-acetylglucosaminidase (NAG) activity; and soil microflora characteristics to N additions gradient with 0 (control), 5 (N5), 10 (N10), and 15 (N15) g N m-2 yr-1. The soil microbial biomass indices, NAG activity, and soil microflora characteristics did not differ significantly among the N levels, and there was no difference at the two sites. The competition for N between plants and soil microbes was not eliminated by short-term N addition due to the low soil nutrient and moisture contents, and the relationships among the original soil microbes did not change. However, N addition increased BG activity in the N5 and N10 additions in the sandy grassland, and in the N5, N10, and N15 additions in the semi-fixed sandy land. This may be due to increased accumulation and fixation of plant litter into soils in response to N addition, leading to increased microbial demand for a C source and increased soil BG activity. Future research should explore the relationships between soil microbial community and N addition at the two sites.