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In the field of hyperspectral target detection, algorithms based on collaborative representation have shown excellent performance. However, the pollution of background dictionaries by anomaly has always been a problem, which affects the detection performance of this algorithm partly. This paper proposes an improved collaborative representation algorithm for hyperspectral anomaly detection, and designs a double-layer collaborative representation structure. Firstly, the first layer collaborative representation algorithm is used to detect most of the anomaly. Its neighborhood pixels are used for background purification to eliminate the pollution of the detected anomaly on the background dictionary. Then, the purified background dictionary is used to predict the background, and in the second layer, the collaborative representation is used for anomaly detection. Simulation experiments show that a simple double layer collaborative representation structure can effectively alleviate the background pollution caused by anomaly. The detection performance of this algorithm is significantly improved compared to the basic collaborative representation algorithm, and it also has relatively good detection performance.

The dose equivalent rate of 225Ac and its daughter equilibrium system were measured and calculated. In addition, the dose equivalent rates of 131I and 99mTc with the same activity were also calculated. The tenth- and half-value thicknesses of lead for 225Ac were derived based on measurement data. The results show that dose equivalent rate at 0.5 m, for unshielded 85.5 MBq 225Ac, is 4.56 times higher than dose equivalent rate maximum limit 2.5 μSv/h of personnel operation positions form standard. The measured and theoretical values of dose equivalent rate at 0.5 m are more consistent than those at 0.15 m for 225Ac source, especially under lead shielding conditions of 0 mm, 5 mm, 10 mm, 15 mm, and 20 mm. For the same activity, measured dose equivalent rate of 225Ac is about half of 131I and about 1.5 times of 99mTc theoretical value. We should pay attention to external radiation protection during the use of 225Ac. It is suggested that, 20 mm can be used as the lead tenth value thickness, and 5 mm as the lead half value thickness conservatively for 225Ac and its descendants.

We present an analysis of a case initially manifesting as bilateral horizontal gaze palsy, eventually diagnosed as multiple sclerosis (MS) with preclinical systemic lupus erythematosus (p-SLE). The patient, a 25-year-old male, exhibited restricted movement in both eyes. Cranial MRI revealed multiple demyelinating lesions; serum analyses indicated elevated levels of antinuclear antibodies (ANA), anti-Sm antibodies, and anti-nRNP antibodies. Oligoclonal bands were identified in the cerebrospinal fluid. Neurophysiological assessments demonstrated damage to the optic, auditory, and facial nerves. Given the clinical presentation, laboratory findings, and the progression of the disease, the final diagnosis was confirmed as MS associated with p-SLE. The onset of MS with oculomotor disturbances is rare and may be easily confused with neuropsychiatric systemic lupus erythematosus (NPSLE). Furthermore, the differentiation of p-SLE from undifferentiated connective tissue disease (UCTD) in the early stages presents significant challenges. Early identification of risk factors and close monitoring of disease activity is crucial for an accurate diagnosis.

Optical signal processing has been playing a crucial part as powerful engine for various information systems in the practical applications. In particular, achieving large-scale programmable chips for signal processing are highly desirable for high flexibility, low cost and powerful processing. Silicon photonics, which has been developed successfully in the past decade, provides a promising option due to its unique advantages. Here, recent progress of large-scale programmable silicon photonic chip for signal processing in microwave photonics, optical communications, optical computing, quantum photonics as well as dispersion controlling are reviewed. Particularly, we give a discussion about the realization of high-performance building-blocks, including ultra-low-loss silicon photonic waveguides, 2 × 2 Mach–Zehnder switches and microring resonator switches. The methods for configuring large-scale programmable silicon photonic chips are also discussed. The representative examples are summarized for the applications of beam steering, optical switching, optical computing, quantum photonic processing as well as optical dispersion controlling. Finally, we give an outlook for the challenges of further developing large-scale programmable silicon photonic chips.

Lung cancer has a high mortality rate largely due to late-stage diagnosis. Detecting protein and genetic biomarkers through electrochemical immunosensors enables non-invasive early diagnosis. This review discusses recent advances in electrochemical immunosensors for detecting clinically relevant lung cancer biomarkers. The use of nanomaterials like graphene, carbon nanotubes, metal nanoparticles, and conducting polymers in sensor fabrication improves electron transfer kinetics, enhances signal transduction, and allows higher antibody loading. Smart surface immobilization strategies optimize antibody orientation and binding capacity. Amplification approaches utilizing nanomaterials, enzymes, polymers, dendrimers, and DNA nanostructures are applied to enhance output signal per binding event. Various electroanalytical techniques including amperometry, potentiometry, impedance spectroscopy, and voltammetry are employed for quantitative monitoring. Recent immunosensors showcase low detection limits and wide linear ranges for measurement of major biomarkers like carcinoembryonic antigen, neuron specific enolase, and cytokeratin fragment 21-1. Emerging biomarkers such as microRNAs and circulating tumor cells have also been targeted. However, reproducibility, selectivity, multiplexing, and integration with point-of-care platforms need improvement for widespread clinical translation. Overall, electrochemical immunosensors hold immense potential for sensitive, affordable lung cancer diagnosis if ongoing efforts can address current limitations.

Pain is a common and distressing symptom in critically ill patients. Environment during hospitalization, operational diagnosis and treatment and other issues may increase the pain level of the patient. Given the numerous adverse psychological and physiological consequences caused by uncontrolled pain, pain management should be considered as the core element of treatment. The auricular acupuncture with thumbtack needle, as a typical Traditional Chinese Medicine nursing technique, has proven to be a very safe, painless and easy-to-operate method in clinical practice. By reviewing relevant studies, this paper summarized the mechanism and practice of auricular acupuncture with thumbtack needle in the pain management in critically ill patients, and provided reference for future research. (疼痛是急重症患者的常见症状, 其疼痛程度和住院环境、操作性诊疗等因素密切相关。镇痛管理是急重症患者治疗的重要组成部分。耳穴揿针疗法作为一种中医特色疗法, 具有安全性高、无针感、实施简便等优势, 临床应用越来越广泛, 其实用性和疗效可持续性得到证实。本文通过查阅相关文献, 从急重症患者的镇痛管理、耳穴揿针的作用机制及其应用方面进行综述, 以期为后续研究提供参考。)

This paper analyzed the needs, status quo and shortcomings of training Traditional Chinese Medicine (TCM) encephalopathy nurse specialists in China. Conception and prospect of talent training were discussed to improve the continuous development of TCM treatment for encephalopathy, strengthen the construction of TCM nursing and promote the implementation of Healthy China Initiative (分析我国中医脑病专科护士培养需求, 结合我国中医专科护士及脑病专科护士培养现状及不足, 对中医脑病专科护士培养提出了初步的构思与展望, 旨在推进中医脑病学科的持续发展, 加强中医护理学科建设, 促进健康中国。)

Epithelial–mesenchymal transition (EMT)-related proteins (Slug, vimentin, and N-cadherin) are downregulated by Protein Z silencing, which significantly prohibits cellular proliferation and EMT activity (decrease of cellular migration and invasion) in non-small-cell lung cancer cells.

Objective： To detect the level of parathion-methyl and parathion residues in different types of tea by high pressure liquid chromatography coupled with matrix solid phase dispersion. Methods： Before determined by high pressure liquid chromatography （HPLC）, the tea samples were pretreated by matrix solid phase dispersion method grinding with neutral alumina as dispersant and eluting by ethyl acetate: n-hexane （8%）. Results： The results showed that this method was simple, rapid and accurate, with good linearity （0.999 6 for parathion-methyl and 0.999 5 for parathion）, low detection limits （0.015, 0.006 mg/kg, respectively） and high recoveries （90.67% and 86.67%, respectively）. Incidence of parathion-methyl and parathion occurred with a frequency of 7.69% and 19.23%, and the average concentration of 0.004 8 mg/kg and 0.008 5 mg/kg, respectively. The residue levels varied from tea types. The corresponding average daily intake of parathion-methyl and parathion by drinking was 0.023 6 and 0.104 1 μg/（kg·d·BW）, respectively. Conclusion： The problem of methyl parathion and parathion residues in different tea samples was not prominent, and their residues did not exceed the standard. The detection probability and residue of parathion were higher than those of methyl parathion. The probability of parathion detection in oolong tea, black tea and green tea was higher, but the analysis data showed that there was no health risk problem caused by drinking tea for general consumers.

Soil direct burial is widely used for laying power cables because of its advantages of short construction period and good heat dissipation performance. During the burial process, various laying conditions have an important impact on the temperature rise and load capacity of the cable. In this paper, in order to investigate the influences of various laying conditions such as backfilling sand, adding concrete protection plates and installing sleeves on the temperature field and load capacity of direct buried cables, Comsol finite element simulation software is applied and electromagnetic field, thermal field and fluid field are modeled on 110 kV cross-linked polyethylene (XLPE) power cables. The results show that backfilling with sand increases the cable load capacity, and the increase of the cable load capacity slows down with the increase of the backfilling thickness. The adding concrete protection plate has less effect on the load capacity, and the increase of the load capacity is less than 0.5% compared with that without the cover. The filling high thermal conductivity material in the drainage tube increases the cable load capacity, and the increase of the load capacity is higher than 50% when all three phases are filled with high thermal conductivity material and the middle phase is filled with high thermal conductivity material compared with the case without the filling. Compared with the case of no filling, the increase of load capacity when all three phases are filled with high thermal conductivity material, the middle phase is filled with high thermal conductivity material, and the other two phases are filled with low thermal conductivity material is higher than 50%. When the above factors are considered at the same time, it is favorable to the increase of cable load capacity.

Polycystic ovary syndrome (PCOS) is related to obesity, hyperinsulinemia, impaired glucose toler-ance, hyperandrogenism, chronic inflammatory response, dyslipidemia and hypertension. PCOS is critically associated with oxidative stress (OS), which is a risk factor for cardiovascular disease (CVD). This article reviews the mechanisms by which OS increases the risk of CVD in PCOS and the possibility of preventing CVD in PCOS patients by blocking the pathway of reactive oxygen species (ROS) production.

Aberrant deposition of collagen is associated with cancer development and tissue fibrosis. Proline hydroxylation, catalyzed by collagen prolyl 4-hydroxylases (C-P4Hs), is necessary for collagen maturation and secretion. Here, we try to evaluate the mechanism of the regulation of CHX on collagen maturation. Using pepsin digestion, liquid chromatograph mass spectrometry and gene knockout, we find that treatment of mouse embryonic fibroblasts with cycloheximide (CHX) increases type I collagen proline hydroxylation partially via P4HA1 and mainly via P4HA2. Western blot analysis results show that CHX treatment reduces type I collagen but does not obviously impact the level of P4HA1/2 protein in the endoplasmic reticulum, which enhances the molar ratio of P4HA1/2 to type I collagen, and coimmunoprecipitation results confirm that more P4HA1/2 can bind to each type I collagen. Since C-P4Hs possess the capability to hydroxylate proline independent of ascorbate for a few cycles, this enhanced binding between P4HA1/2 and type I collagen can partially explain how CHX stimulates type I collagen maturation.

ObjectiveTo test the single nucleotide polymorphism (SNP) detection technology level of mice genetic quality control in laboratories, promote the application of nucleic acid samples and SNP detection technology by implementing a nationwide proficiency testing program.MethodsIn 2022, National Institutes for Food and Drug Control implemented domestic laboratory proficiency testing named“NIFDC-PT-365 Laboratory Proficiency Testing Program of SNP Marker Detection Ablity in Laboratory Mice DNA Samples”. According to the requirements of the program, each participating laboratory received 2 blind samples of DNA from BALB/c mice and C57BL/6 mice with random numbers, standard operation procedure and 2 pairs of primers for rs3023177 and rs3023382 SNP loci. The participants should submit the results and original records before the deadline. If the mutation site amplification and sequencing results were consistent with the preseted results, it was considered as satisfactory; otherwise, it was considered as unsatisfactory. Meanwhile, PCR amplification system, sequencing direction and alignment methods of participating laboratories were compared to analyze as the relevant factors which may affect the SNP detection results of nucleic acid standard samples.ResultsThe results of 10 participating laboratories were consistent with the preset. They all obtained satisfactory results. Differences in amplification volume (20 μL, 25 μL, 30 μL), Taq enzyme system (single component and PCR MIX), sequencing company, sequencing direction and alignment software had no influence on the accuracy of the results.ConclusionThe participating laboratories have high detection ability in SNP detection method of mice nucleic acid samples. SNP detection technology is simple and feasible in mouse genetic quality control and is worth popularizing.

【Objective】 To clarify the effects of flooding days and recovery days on the growth, physiological and biochemical indices of cherry tomato, and to provide a reference for the optimal cultivation of cherry tomato in tropical areas. 【Method】 Five flooding days were set up: 2 days (W2), 4 days (W4), 6 days (W6), 10 days (W10) and 14 days (W14), and five recovery days: 2, 4, 10 and 14 days, and the response law of different cherry tomato seedling stage recovery under flooding stress was explored. 【Result】 Flooding days and recovery days significantly affected the root growth, antioxidant enzyme activity and membrane lipid peroxidation of cherry tomato at seedling stage. The superoxide dismutase (SOD) and peroxidase (POD) activities of QX were higher than those of CK, and the content of malondialdehyde (MDA) was lower than that of CK; The catalase (CAT) and POD activity, MDA content and superoxide anion free radical (O2·-) production rate of HF varieties can still return to the normal level compared with CK after 6 days of flooding. When the flooding time is the same, the CAT and POD activity of HF varieties are higher than CK after 2 to 4 days of recovery, while the CAT activity of QX varieties are higher than CK after 6 days of recovery, With the extension of flooding days, the recovery ability of QX varieties decreased gradually. 【Conclusion】 The corresponding laws of flooding stress and recovery of different varieties are different, and the recovery effect of cherry tomato is better when the flooding is relieved for 2 to 6 days, and the recovery ability gradually stabilizes after 2 to 6 days of recovery.

To explore the influence of cone-beam computed tomography (CBCT) matching reference point selection on target accuracy in intensity-modulated radiotherapy (IMRT) for breast cancer and aimed to provide a reference for clinical application. We conducted a retrospective analysis on breast cancer patients who underwent postoperative radiotherapy between January 2020 and October 2020. CBCT images for image-guided radiotherapy, different matching reference points, and the location of computed tomography (CT) image registration were used to divide patients into the sternum (control group 1), thoracic (control group 2), and sternum-thoracic + target (team) groups. CBCT alignment was confirmed by three different registration methods. After matching, the matching error and spatial displacement of the metal clip at the boundary of the operative cavity in CBCT and target CT were measured and recorded. A total of 528 sets of matching errors and spatial displacement data of metal clips in the target area were obtained for 22 enrolled patients. Independent sample nonparametric tests were used to analyze the significant differences in the three groups of data, and the distance of metal clips in the three groups was calculated. The matching errors of the sternum and study groups were statistically significant, except for the rotation error in the direction of the X-axis (p>0.05). There were no statistically significant differences in the matching error between the thoracic vertebra and the study groups (p>0.05). After the sternum group was matched with the study group, the displacements of the metal clips in the target area of CBCT and CT in the X, Y, and Z directions were as follows: (1.59±1.61) mm and (1.23±1.19) mm (p=0.045), (1.65±1.44) mm and (1.89±1.52) mm (p=0.006), and (1.13±1.18) mm and (1.37±1.31) mm (p=0.999), respectively. The thoracic vertebra group was matched with the study group, and the displacements of the metal clips in the target area of CBCT and CT in the X, Y, and Z directions were as follows: (1.51±1.83) mm and (1.23±1.19) mm (p=0.002), (1.69±1.84) mm and (1.89±1.52) mm (p

Ram air turbine(RAT)system is a kind of aircraft emergency energy,which is critical of aircraft to provide emergency hydraulic source and/or emergency power supply for aircraft in emergency.Referring to AP-21-AA-2011-03-R4 about aircraft life cycle certification process division and certification activities,combined with the development process of a certain type of civil aircraft RAT system,this paper starts from identifying the certification basis,transforms the airworthiness clauses into requirements,which are implemented into product design,clarifies the compliance methods and verification ideas of the clauses,and finally determines the workflow and method of civil aircraft RAT system airworthiness engineering technology.The workflow has been preliminarily verified by the development of a civil aircraft RAT system,which provides a reference for the development and certification process of domestic civil aircraft airborne system.

Vitamin D is a fat-soluble vitamin with multiple functions. However, the metabolism of people with different vitamin D concentrations is still unclear. Herein, we collected clinical data and analysed the serum metabolome of people with 25-hydroxyvitamin D (25[OH]D) ≥40 ng/mL (A), 30 ng/mL ≤25(OH)D

BACKGROUND Polycyclic aromatic hydrocarbons (PAHs), as a typical persistent organic pollutant, widely exist in the environment and have high stability. Studying of the content distribution and source analysis of PAHs in soil will provide a technical basis for PAHs pollution prevention and control, ecological environment improvement and environmental protection policy-making. OBJECTIVES In order to investigate the content, composition and source of PAHs in the soil environment of different functional areas in Beijing City. METHODS A large-scale sampling was carried out in the core area of Beijing City. At the same time, regional sampling was carried out for different functional areas such as industrial areas, agricultural planting areas, water source protection areas and residential areas. A total of 459 topsoil samples were collected, and the monomer contents of 16 PAHs were analyzed by gas chromatography-mass spectrometry (GC-MS). RESULTS The average values of the total contents of 16 PAHs (∑16PAHs) in topsoil of the three subregions in the core area (southeast, center and northwest) were 153.7, 333.2 and 142.9μg/kg, respectively. The average values of ∑16PAHs in topsoil of the industrial zone, including Southeast Factory, Shougang Industry and Datai Coal Mine, were 1006.9, 1379.4 and 146.8μg/kg, respectively. The average values of ∑16PAHs in topsoil of the water-conserving areas, Huairou and Miyun, were 86.4μg/kg and 154.5μg/kg, respectively. The average values of ∑16PAHs in topsoil of four agricultural planting regions (Changping, Pinggu, Fangshan and Tongzhou) were 109.0, 118.3, 106.8 and 94.2μg/kg, respectively. The average value of ∑16PAHs in topsoil of residential areas was 131.1μg/kg. Compared with previous research results on the content and distribution characteristics of PAHs, the content of PAHs in the topsoil in Beijing City showed a decreased trend, which was related to the decrease in the use of coal and the increase in the use of natural gas in Beijing City in recent years. The composition of PAHs in different functional areas was different. The proportion of heavy and medium rings PAHs were higher in industrial areas. The proportion of light rings PAHs in water-conserving areas, agricultural planting regions and residential areas was higher than that in industrial areas, which might be due to the different sources of PAHs in different functional areas. The results of principal component analysis-multiple linear regression method showed that the main sources of PAHs in the core area were tail gas emissions and leakage during oil storage and transportation, which contributed 81.46% and 18.54%, respectively. The main sources of PAHs in the topsoil of the industrial area were coal combustion and tail gas emissions, which contributed 62.65% and 37.35%, respectively. The main sources of PAHs in residential areas were tail gas emissions and natural gas combustion sources, with contribution rates of 53.30% and 46.70%, respectively. CONCLUSIONS Further strengthening traffic control, continuing to reduce the proportion of coal in energy structure, and increasing the proportion of clean energy are effective ways to reduce PAHs emissions and pollution in Beijing City.

ABSTRACT: Receptor interacting protein kinase 2 (RIPK2) is involved in a variety of signaling pathway to produce a series of inflammatory cytokines in response to a diverse of bacterial, viral and protozoal pathogens. However, the underlying regulating of RIPK2 remain unknown. Transcriptome alterations in chicken HD11 cells following RIPK2 overexpression or silencing by shRNA were analyzed by next-generation sequencing. Both overexpression and knockdown of the RIPK2 gene caused wide-spread changes in gene expression in chicken HD11 cells. Differentially expressed genes (DEGs) caused by altered RIPK2 gene expression were associated with multiple biological processes linked with biological regulation, response to stimulus, cell communication, and signal transduction etc. KEGG analysis revealed that many of the DEGs were enriched in VEGF signaling pathway, ECM-receptor interaction, Focal adhesion, TGF-beta signaling pathway etc. Moreover, we show that initiation genes, TGFB1 and TGFB3, in the TGF-beta signaling pathway are biological targets regulated by RIPK2 in chicken HD11 cells. This is the first transcriptome-wide study in which RIPK2-regulated genes in chicken cells have been screened. Our findings elucidate the molecular events associated with RIPK2 in chicken HD11 cells.

ObjectiveTo analyze the genetic quality of an outbred stock of Wistar rats in different periods by T/CALAS 21—2017 method, and to evaluate the applicability of the association standard.MethodsWistar rats selected from the same outbred stock in 2015 and 2019 were named as group A and group B, respectively. Twenty-five pairs of microsatellite primers were used to get genetic parameters for quality analysis of the outbred stock Wistar rats according to the association standard T/CALAS 21—2017. Polymorphism information content (PIC) was used to analyze the polymorphism of the loci.ResultsOne hundred alleles in group A and 69 alleles in group B were obtained. The average heterozygosity of the two groups was 0.574 and 0.447, while the average PIC was 0.541 and 0.393, respectively.ConclusionThe association standard T/CALAS 21—2017 has good applicability in the genetic quality analysis of outbred stock rats, and the genetic diversity of group A is better than that of group B.

As scientific technology and space science progress, remote sensing has emerged as an innovative solution to ease the challenges of the COVID-19 pandemic. To examine the research characteristics and growth trends in using remote sensing for monitoring and managing the COVID-19 research, a bibliometric analysis was conducted on the scientific documents appearing in the Scopus database. A total of 1,509 documents on this study topic were indexed between 2020 and 2022, covering 165 countries, 577 journals, 5239 institutions, and 8,616 authors. The studies related to remote sensing and COVID-19 have a significant increase of 30% with 464 articles. The United States (429 articles, 28.42% of the global output), China (295 articles, 19.54% of the global output), and the United Kingdom (174 articles, 11.53%) appeared as the top three most contributions to the literature related to remote sensing and COVID-19 research. Sustainability, Science of the Total Environment, and International Journal of Environmental Research and Public Health were the three most productive journals in this research field. The utmost predominant themes were COVID-19, remote sensing, spatial analysis, coronavirus, lockdown, and air pollution. The expansion of these topics appears to be associated with cross-sectional research on remote sensing, evidence-based tools, satellite mapping, and geographic information systems (GIS). Global pandemic risks will be monitored and managed much more effectively in the coming years with the use of remote sensing technology.

Objective To construct a polymerase chain reaction-capillary electrophoresis （PCR-CE） detection method using ChlB gene and NIES gene, investigate the method’s specificity and sensitivity, and to evaluate its application value in drowning diagnosis. Methods The specific primers ChlB and NIES were designed for the conserved sequence of chlorophyte ChlB gene and cyanophyte NIES gene in GenBank to construct PCR-CE detection method; 50 species of standard DNA samples were amplified; the sensitivity was determined by gradient concentration detection of positive standard samples; 25 actual cadaver lung tissue samples （drowned：20, natural death：5） were detected, and the simultaneous detection results of microwave digestion-vacuum filtration-automated scanning electron microscopy （MD-VF-Auto SEM） were simultaneously compared. Results The minimum DNA detection concentration of primers ChlB and NIES was 0.161 ng and 0.109 ng, respectively, which could specifically amplify chlorophyte （Chlorella pyrenoidosa） and cyanophyte ［Microcystis aeruginosa （producing and not producing toxin）］ widespread in water. The product fragments were 156 bp and 182 bp, respectively. The results of non-drowning tissues were negative. Conclusion This method has high sensitivity and specificity. It can be applied to the detection of plankton related to drowning and combined with MD-VF-Auto SEM method, can increase the detection range of plankton related to drowning and improve the evidence power of drowning diagnosis.

Evaluating the quality of rural human (RH) settlements and clarifying its spatial differentiation characteristics have the most direct guiding role for the formulation of regional construction policies and the optimization of RH settlements. In this study, the index model of environmental quality of RH settlement was established. ImPACT and trade-off analysis methods were used to quantitatively identify the spatial differentiation of RH settlement and dominant impact human factors of it in Gansu Province in 2017. Then, the driving type of RH settlement environment was identified. Results are as follows. (1) The overall environmental quality of RH settlement in Gansu Province shows a decreasing trend from “west to east.” (2) The environmental quality of RH settlement is mainly affected by eight factors, of which the effect of quantity index per capita is more significant. (3) The trade-off relationship between the environmental quality index and these eight dominant factors is mainly low–low, which indicates that the human factors are the main reason for the environmental quality of the RH settlement. (4) Based on the dominant human factors, Gansu Province is classified into four driving types, of which the proportion of comprehensive type accounts for 77.01%.

Abstract Background Hemorheological parameters have been confirmed to be related with deep vein thrombosis (DVT). This study is aimed to verify whether preoperative erythrocyte electrophoresis exponent was associated with postoperative deep vein thrombosis (DVT) risk after total knee arthroplasty (TKA) in patients with primary knee osteoarthritis (KOA). Methods From March 2010 to May 2020, a total of 750 consecutive KOA patients who accepted unilateral TKA were enrolled. They were divided into DVT (176 patients) and non-DVT groups (574 patients) according to the examination results of the Doppler ultrasound of deep veins in both lower limbs on postoperative day 3. The Chi-square test, Student’s t test, and multivariate logistic regression analysis were performed to analyze the correlation of erythrocyte electrophoresis exponent and DVT risk in 2 groups. Receiver operating characteristic (ROC) analysis was used to assess predictive value of erythrocyte electrophoresis exponent for DVT. Results A low erythrocyte electrophoresis exponent was a significant risk factor for DVT in patients with primary KOA (p < 0.05), especially in females when stratified by gender (p < 0.05). Conclusions The findings suggest that lower erythrocyte electrophoresis before surgery may be independently associated with a higher post-surgery DVT risk in primary KOA patients. It is necessary to optimize prophylaxis strategies for DVT in these patients.

Abstract Background Sarcopenia has been confirmed as a poor prognostic indicator of lung cancer. However, the lack of abdominal computed tomography (CT) hindered the application to assess the status of sarcopenia. The purpose of this study was to assess the ability of chest CT radiomics combined with machine learning classifiers to identify sarcopenia in advanced non‐small cell lung cancer (NSCLC) patients. Methods This study retrospectively analyzed CT images of 99 patients with NSCLC. Skeletal muscle radiomics were extracted from a single axial slice of the chest CT scan at the 12th thoracic vertebrae level. In total, 854 radiomic and clinical features were obtained from each patient. Feature selection was conducted with FeatureSelector module, optimal key features were fed into the lightGBM classifier for model construction, and Bayesian optimization was adopted to tune hyperparameters. The model's performance was evaluated by specificity, sensitivity, accuracy, precision, F1‐score, Matthew's correlation coefficient (MCC), Cohen's kappa coefficient (Kappa), and AUC. Results A total of 40 patients were found to have sarcopenia. Five optimal features were selected. In the base lightGBM model, the specificity, sensitivity, accuracy, precision, F1‐score, AUC, MCC, Kappa of validation set were 0.889, 0.750, 0.833, 0.818, 0.783, 0.819, 0.649, 0.648, respectively. After Bayesian hyperparameter tuning, the optimized lightGBM model achieved better prediction performance, and the corresponding values were 0.944, 0.833, 0.900, 0.909, 0.870, 0.889, 0.791, 0.789, respectively. Conclusions Chest CT‐based radiomics has the potential to identify sarcopenia in NSCLC patients with the lightGBM classifier, and the optimal lightGBM model via Bayesian hyperparameter tuning demonstrated better performance. Key points Significant findings of the study Our study demonstrates that chest CT‐based radiomics combined with lightGBM classifier has the ability to identify sarcopenia in NSCLC patients. What this study adds Skeletal muscle radiomics would be a potential biomarker for sarcopenia identity in NSCLC patients.

Early diagnosis and treatment are crucial for the survival of severe Coronavirus Disease 2019 (COVID-19) patients, but data with regard to risk factors for disease progression from milder COVID-19 to severe COVID-19 remain scarce.

Since 2007, Ulva prolifera, a green macroalgal species that blooms periodically in the Yellow Sea of China, has caused the world’s biggest green tide, which induced harmful ecological impacts and economic losses. When the alga is subject to prolonged exposure to air, it suffers abiotic stresses. To explore the physiological and molecular mechanisms of salt stress, the transcriptome data of U. prolifera at different salinities (30, 50, and 90 psu) were obtained by high-throughput sequencing using the Illumina HiSeq platform, and photosynthetic physiological parameters were also measured. The results showed that a total of 89,626 unigenes were obtained after de novo assembly, of which 60,441 unigenes were annotated in the databases (NR, NT, KO, SWISS-PROT, PFAM, GO, and KOG). GO functional enrichment analysis revealed that the enrichment of differentially expressed genes (DEGs) was mainly in cellular, cell, and binding processes. KEGG metabolic pathway enrichment analysis showed that the most frequently enriched pathways of DEGs included glycolysis, pyruvate metabolism, peroxisome, and fatty acid biosynthesis. In addition, resistance-associated proteins, such as heat-shock proteins, microtubule-associated proteins, ubiquitin-associated proteins, abscisic-acid-signaling-pathway-associated proteins, and antioxidant-related proteins are upregulated under salt stress. Genes associated with photosynthesis and carbon fixation pathways are also upregulated, accompanied by an increase in photosynthetic oxygen release rates. These findings provide a basis for understanding the molecular mechanisms of the response of U. prolifera to salinity change, thus providing a theoretical basis for the analysis of the green tide outbreak mechanism.

Abstract Background Numerous studies have shown that stress induction and genetic engineering can effectively increase lipid accumulation, but lead to a decrease of growth in the majority of microalgae. We previously found that elevated CO2 concentration increased lipid productivity as well as growth in Phaeodactylum tricornutum, along with an enhancement of the oxidative pentose phosphate pathway (OPPP) activity. The purpose of this work directed toward the verification of the critical role of glucose-6-phosphate dehydrogenase (G6PDH), the rate-limiting enzyme in the OPPP, in lipid accumulation in P. tricornutum and its simultaneous rapid growth rate under high-CO2 (0.15%) cultivation. Results In this study, G6PDH was identified as a target for algal strain improvement, wherein G6PDH gene was successfully overexpressed and antisense knockdown in P. tricornutum, and systematic comparisons of the photosynthesis performance, algal growth, lipid content, fatty acid profiles, NADPH production, G6PDH activity and transcriptional abundance were performed. The results showed that, due to the enhanced G6PDH activity, transcriptional abundance and NAPDH production, overexpression of G6PDH accompanied by high-CO2 cultivation resulted in a much higher of both lipid content and growth in P. tricornutum, while knockdown of G6PDH greatly decreased algal growth as well as lipid accumulation. In addition, the total proportions of saturated and unsaturated fatty acid, especially the polyunsaturated fatty acid eicosapentaenoic acid (EPA; C20:5, n-3), were highly increased in high-CO2 cultivated G6PDH overexpressed strains. Conclusions The successful of overexpression and antisense knockdown of G6PDH well demonstrated the positive influence of G6PDH on algal growth and lipid accumulation in P. tricornutum. The improvement of algal growth, lipid content as well as polyunsaturated fatty acids in high-CO2 cultivated G6PDH overexpressed P. tricornutum suggested this G6PDH overexpression-high CO2 cultivation pattern provides an efficient and economical route for algal strain improvement to develop algal-based biodiesel production.

In view of problems of gas concentration prediction method based on least squares support vector machine (LS-SVM) such as easy to fall into local optimal solution, low search efficiency and easy to occur premature convergence during parameter optimization process, a gas concentration prediction model based on ACO-LS-SVM was proposed. Firstly, k-means clustering analysis is performed on collected large amount of gas data on fully mechanized coal mining face to reduce dimension. Then, improved ant colony algorithm is used to optimize penalty parameters and kernel function parameters of LS-SVM, and the optimized parameters are substituted into the LS-SVM model for regression prediction. The simulation results show that when absolute error threshold of gas concentration is 0.03%, 0.04%, 0.05%, the prediction accuracy of the gas concentration prediction model based on ACO-LS-SVM is about 95%, which is better than SVM model and LS-SVM model.