Functional analysis of a novel MHC-Iα genotype in orange-spotted grouper: Effects on Singapore grouper iridovirus (SGIV) replication and apoptosis.

The classical major histocompatibility complex class I (MHC-Ⅰ) molecule plays a key role in vertebrate immune response for its important functions in antigen presentation and immune regulation. MHC pathway is closely related to many diseases involving autoimmunity, antigen intrusion and inflammation. However, rare literatures about the effect of MHC-I on fish cells apoptosis were reported. In this study, a novel type of MHC-Ⅰα genotype from orange-spotted grouper (named EcMHC-ⅠA*01) were cloned and characterized. It shared a 77% identity to its Epinephelus coioides MHC-Iα homology that has been uploaded to NCBI (ACZ97571.1). Molecular characterization analysis showed that EcMHC-ⅠA*01 encodes a 357-amino-acid protein, containing a signal peptide，α1，α2，α3, Cytoplasmic (Cyt) and Transmembrane (TM) domains. Tissue expression pattern showed that EcMHC-ⅠA*01 was extensively distributed in twelve selected tissues, with higher expression in the gill, intestine and skin. The expression of EcMHC-ⅠA*01 in grouper liver and spleen tissues were significantly induced by different stimuli (Zymosan A, LPS, Ploy I:C, RGNNV and SGIV). Comparing with the EcMHC-ⅠA*01 expression levels induced by Zymosan A, Ploy I:C and RGNNV, the effects induced by SGIV and LPS were more significant. Subcellular localization analysis showed that EcMHC-ⅠA*01 localizes throughout the cytoplasm appeared both diffuse and focal intracellular expression pattern. Overexpression of EcMHC-ⅠA*01 inhibited the CPE progression, the mRNA expression of the SGIV related genes (MCP, LITAF, ICP-18 and VP19) and the protein expression of MCP. Meanwhile, qRT-PCR result showed that EcMHC-ⅠA*01 overexpression upregulated the expression of interferon signaling molecules (IFN-γ, ISG56, MDA5 and MXI) and inflammatory cytokines (IL-1ß, IL-6, TNF-α and TRAF6). In addition, our results showed that overexpression of EcMHC-ⅠA*01 promoted the apoptosis of normal fathead minnow (FHM) cells as well as the apoptosis of FHM cells induced by SGIV. However, there was no significant change in the activity of caspase 3 between control group and EcMHC-ⅠA*01 overexpression group, suggesting that EcMHC-ⅠA*01-induced apoptosis may not depend on the caspase 3 pathway. Taken together, these data in our study provide new insights into the role of MHC-I in antiviral immune response and apoptosis in fish.

Grouper ATF1 plays an antiviral role in response to iridovirus and nodavirus infection.

Transcription factor ATF1 is a member of the ATF/CREB family of the CREB subfamily and is involved in physiological processes such as tumorigenesis, organ development, reproduction, cell survival, and apoptosis in mammals. However, studies on ATF1 in fish have been relatively poorly reported, especially on its role in antiviral immunity in fish. In this study, ATF1 from orange-spotted grouper (named EcATF1) were cloned and characterized. Molecular characterization analysis showed that EcATF1 encodes a 307-amino-acid protein, containing PKID and bZIP_CREB1 domains. Homology analysis showed that had the highest homology with E. lanceolatus(88.93%). Tissue expression pattern showed that EcATF1 was extensively distributed in twelve selected tissues, with higher expression in the skin, gill, liver and spleen. Subcellular localization analysis showed that EcATF1 was distributed in the nucleus of GS cells. EcATF1 overexpression inhibits Singapore grouper iridovirus (SGIV) and red-spotted grouper nervous necrosis virus (RGNNV) replication, as evidenced by a diminished degree of CPE induced by SGIV and RGNNV and a reduction in the level of viral gene transcription and viral capsid protein expression. Furthermore, EcATF1 overexpression upregulated interferon pathway-related genes and proinflammatory factors, and increased the promoter activities of IFN, IFN stimulated response element (ISRE), and nuclear factor κB(NFκB). Meanwhile, EcATF1 overexpression positive regulate the MHC-I signaling pathway, and upregulated the promoter activity of MHC-I. Collectively, these data demonstrate that EcATF1 plays an important role during the host antiviral immune response. This study provides insights into the function of ATF1 in the immune system of lower vertebrates.

The transcription factor RFX5 positively regulates expression of MHCIa in the red-spotted grouper (Epinephelus akaara).

Regulatory factor X 5 (RFX 5) is a member of the RFX family, and it forms the transcription factor complex RFX with RFXANK/B and RFXAP. The RFX complex can activate MHC expression by binding to the MHC promoter. However, the regulate mechanism of RFX in fish species is not been fully elucidated. In this study, we investigated the transcriptional regulation of Epinephelus akaara RFX5 (EaRFX5) on EaMHCI, and its effect on immune pathways. The genomic sequence of EaRFX5 was 35,774 bp and consisted of ten exons and nine introns. The length of EaRFX5 ORF sequence is 2,160 bp, encoding 719 amino acids. By qRT-PCR, EaRFX5 was detected constitutively expressed in twelve selected tissues, showing a wide range of expression. EaRFX5 expression parttern in response to poly (I:C), LPS, Zymosan A, SGIV, and NNV challenges showed that EaRFX5 plays a differentiated immunomodulatory role in response to various stimuli in different tissues, and EaRFX5 was most significantly upregulated in the kidney after challenge with SGIV. Subcellular localization assays showed that EaRFX5 is a typical nuclear protein. Based on the in vitro overexpression experiments, EaRFX5 appeared to promote the expression of EaMHCIa gene, interferon signalling pathway and inflammatory cytokine. Luciferase reporter assay showed that the -267 bp to +82 bp region of EaMHCIa promoter was the core region where EaRFX5 modulated. Additionally, point mutations and electrophoretic mobility shift assays indicating M3 is the EaRFX5 binding sites in the EaMHCIa promoter. These results contribute to elucidating the function of EaRFX5 in fish immune response, and provide the first evidence of positive regulation of MHCIa expression by RFX5 in fish.

Bloodstream infection and pneumonia caused by Chlamydia abortus infection in China: a case report.

BACKGROUND: Chlamydia abortus is generally considered to cause abortion, stillbirth, and gestational sepsis in pregnant women, but it's rare in bloodstream infection and pneumonia. CASE PRESENTATION: We present details of a patient with bloodstream infection and pneumonia caused by Chlamydia abortus. Both blood next-generation sequencing (NGS) and sputum NGS indicate Chlamydia abortus infection. The patient received intravenous infusion of piperacillin sodium and tazobactam sodium (4.5 g/8 h) and moxifloxacin (0.4 g/d) and oral oseltamivir (75 mg/day). Within one month of follow-up, the patient's clinical symptoms were significantly improved, and all laboratory parameters showed no marked abnormality. However, chest computer tomography (CT) showed the inflammation wasn't completely absorbed. And we are still following up. CONCLUSIONS: Chlamydia abortus can cause pneumonia in humans. NGS has the particular advantage of quickly and accurately identifying the infection of such rare pathogens. Pneumonia is generally not life-threatening, and has a good prognosis with appropriate treatment. However, Chlamydia infection can lead to serious visceral complications which clinicians should pay attention to.

Improving Contractors' Participation of Resource Utilization in Construction and Demolition Waste through Government Incentives and Punishments.

This paper develops a simulation model for analyzing how government incentives and punishments improve contractors' participation in resource utilization of construction and demolition waste (RUCDW) based on system dynamics theory. The construction industry's long-term objective is to become more sustainable and resource-effective, and as part of this objective, generated construction and demolition waste should be recycled and resource utilized. However, most contractors have little willingness to engage in RUCDW because it increases their costs. The government thus plays a vital role in improving their participation in RUCDW through a range of educational tools such as advertisements, professional training, incentives, and punishments. Among these approaches, incentives and punishments are considered the most effective because they directly change project costs. We use the Vensim software package for numerical simulation and data collected from Suzhou, China are used to demonstrate and validate the developed model. Simulation results show that the government can improve contractors' participation in RUCDW through three kinds of incentives and punishments: (1) subsidizing RUCDW; (2) increasing landfill fees; and 3) issuing fines for illegal dumping. Comprehensive application of multiple policies has a stronger effect than single policies. The established model is therefore a valuable tool for assessing the dynamic effects of government incentives and punishments on RUCDW ahead of implementation, which can provide guidance for policymakers.

FOXO4 alleviates hippocampal neuronal damage in epileptic mice via the miR-138-5p/ROCK2 axis.

Epilepsy (EP) is one of the most universal neurological disorders. This study investigated the mechanism of forkhead box protein O4 (FOXO4) on hippocampal neuronal damage in EP mice. Initially, the EP mouse model and the in vitro HT-22 cell model were established. EP seizures and neuronal damage in mice were assessed. FOXO4, microRNA (miR)-138-5p, and rho-associated coiled-coil containing protein kinase 2 (ROCK2) levels in hippocampal tissues or HT-22 cells were examined. The cell viability and apoptosis of HT-22 cells were determined. The concentrations of oxidative stress markers and the levels of inflammatory cytokines in hippocampal tissues or HT-22 cells were detected. We found that FOXO4 was poorly expressed in EP. FOXO4 overexpression alleviated hippocampal neuronal damage in EP mice and improved HT-22 cell viability and inhibited apoptosis, and decreased oxidative stress and inflammation in hippocampal tissue and HT-22 cells. The bindings of miR-138-5p to FOXO4 and ROCK2 were analyzed, which showed that FOXO4 promoted miR-138-5p via binding to the miR-138-5p promoter region, and miR-138-5p inhibited ROCK2 expression. Joint experiments showed that miR-138-5p suppression or ROCK2 overexpression reversed the alleviation of FOXO4 overexpression on hippocampal neuronal damage. FOXO4 inhibited ROCK2 expression via promoting miR-138-5p expression, thus alleviating hippocampal neuronal damage in EP mice.

DLL3 is regulated by LIN28B and miR-518d-5p and regulates cell proliferation, migration and chemotherapy response in advanced small cell lung cancer.

Delta-like protein 3 (DLL3) has been reported as a biomarker in various human tumors. However, the biological function and mechanism of it in advanced small cell lung cancer (SCLC) is rarely reported. This study was devised innovatively to explore the role of DLL3 in the progression of SCLC. Immunohistochemistry (IHC) analysis was used to examine DLL3 expression in paraffin-embedded SCLC tumor samples. Upregulation of DLL3 reduced chemotherapy sensitivity. Kaplan-Meier analysis was used to analyze the progression-free survival or overall survival of SCLC patients with high or low level of DLL3. The negative association between DLL3 expression and the PFS or OS rate of SCLC patients was identified. Relative high level of DLL3 was determined in SCLC cell lines by using qRT-PCR analysis. Loss-of function assays were performed to detect the biological functions of the silencing of DLL3 in SCLC. As a result, silencing of DLL3 led to the proliferative and migratory inhibition of SCLC cells and reversed EMT process. Mechanistically, DLL3 mRNA was stabilized by the RNA-binding protein lin-28 homolog B (LIN28B). Further mechanism investigation revealed that LIN28B and DLL3 are two downstream targets of miR-518d-5p. Finally, rescue assays demonstrated that LIN28B and miR-518d-5p could regulate DLL3-mediated cell proliferation and migration. Collectively, our present study revealed a novel molecular pathway in SCLC, which providing a new insight in exploring the therapeutic strategy for SCLC.

Interactive effects analysis of road, traffic, and weather characteristics on shared e-bike speeding risk: A data-driven approach.

As electric bikes (e-bikes) rapidly develop in China, their traffic safety issues are becoming increasingly prominent. Accurately detecting risky riding behaviors and conducting mechanism analysis on the multiple risk factors are crucial in formulating and implementing precise management policies. The emergence of shared e-bikes and the advancements in interpretable machine learning present new opportunities for accurately analyzing the determinants of risky riding behaviors. The primary objective of this study is to examine and analyze the risk factors related to speeding behavior to aid urban management agencies in crafting necessary management policies. This study utilizes a large-scale dataset of shared e-bike trajectory data to establish a framework for detecting speeding behavior. Subsequently, the extreme gradient boosting (XGBoost) model is employed to identify the level of speeding risk by leveraging its excellent identification ability. Moreover, based on measuring the degree of interaction among road, traffic, and weather characteristics, the investigation of the complex interactive effects of these risk factors on high-risk speeding is conducted using bivariate partial dependence plots (PDP) by its superior parsing ability. Feature importance analysis results indicate that the top five ranked variables that significantly affect the identified results of speed risk levels are land use density, rainfall, road level, curbside parking density, and bike lane width. The interaction analysis results indicate that higher levels of road and bike lane width correspond to an increased possibility of high-risk speeding among riders. Land use density, curbside parking density, and rainfall display a nonlinear effect on high-risk speeding. Introducing road level, bike lane width, and time interval could change the patterns of nonlinear effects in land use density, curbside parking density, and rainfall. Finally, several policy recommendations are proposed to improve e-bike traffic safety by utilizing the extracted feature values associated with a higher probability of high-risk speeding.

The predictive value of delta-like3 and serum NSE in evaluating chemotherapy response and prognosis in patients with advanced small cell lung carcinoma: An observational study.

Lung cancer is one of the most malignant tumors with fastest morbidity and mortality. Small cell lung cancer (SCLC) is the most malignant pathological type of lung cancer with early metastasis and poor prognosis. At present, there is a lack of effective indicators to predict prognosis of SCLC patients. Delta-like 3 protein (DLL3) is selectively expressed on the surface of SCLC and is involved in proliferation and invasion. Neuron-specific enolase (NSE) is an enolase isoenzyme that is generally regarded as a biomarker for SCLC and may correlate with stage of SCLC, prognosis and chemotherapy response. NSE can be influenced by different types of factors. To explore the associations between expression levels of DLL3 in tumor tissues with platinum/etoposide chemotherapy response, and assess the prognostic values of DLL3, NSE and other potential prognostic factors in advanced SCLC patients were herein studied. Ninety-seven patients diagnosed with SCLC in Zhongda Hospital from 2014 to 2020 were enrolled in the study. Serum NSE levels were tested using ELISA methods before any treatment. The expression of DLL3 in tumor tissue was detected by Immunohistochemistry (IHC). We investigated the relationship of DLL3 expression with chemotherapy and survival. Progression free survival (PFS) and overall survival (OS) were estimated by the Kaplan-Meier method. Multivariate Cox-proportional hazard regression was used to identify predictors of PFS and OS. DLL3 was detected in 84.5% (82/97) of all patients' tumor samples by IHC, mainly located on the surface of SCLC cells. Lower DLL3 expression was associated with longer PFS and better chemotherapy response. OS had no significant differences. Multivariate analysis by Cox Hazard model showed that, high DLL3 expression and maximum tumor size >5 cm were independent risk factors for PFS, where NSE < 35 ng/mL and age < 70 were independent prognostic factors for OS. Early stage was independent prognostic factors for PFS and OS (P < .05 log-rank). DLL3 was expressed in the most of SCLCs. DLL3 expression level in the tumor and NSE level in the serum may be useful biomarkers to predict the prognosis of SCLC. DLL3 may be a potential therapeutic target for SCLC in the future.

Biomimetic Metal-Organic Framework Gated Nanoplatform for Sonodynamic Therapy against Extensively Drug Resistant Bacterial Lung Infection.

Novel antimicrobial strategies are urgently needed to treat extensively drug-resistant (XDR) bacterial infections due to the high mortality rate and lack of effective therapeutic agents. Herein, nanoengineered human umbilical cord mesenchymal stem cells (hUC-MSCs), named PMZMU, are designed as a sonosensitizer for synergistic sonodynamic-nano-antimicrobial therapy against gram-negative XDR bacteria. PMZMU is composed of a bacterial targeting peptide (UBI29-41) modified hUC-MSCs membrane (MSCm), a sonosensitizer meso-tetra(4-car-boxyphenyl) porphine doped mesoporous organo-silica nanoparticle and an acidity-responsive metal-organic framework ZIF-8. This innovative formulation enables efficient loading of polymyxin B, reduces off-target drug release, increases circulation and targeting efficacy, and generates reactive oxygen species upon ultrasound irradiation. PMZMU exhibits remarkable in vitro inhibitory activity against four XDR bacteria: Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa (PA), and Escherichia coli. Taking advantage of the bacterial targeting ability of UBI29-41 and the inflammatory chemotaxis of hUC-MSC, PMZMU can be precisely delivered to lung infection sites thereby augmenting polymyxin B concentration. PMZMU-mediated sonodynamic therapy significantly reduces bacterial burden, relieves inflammatory damage by promoting the polarization of macrophages toward M2 phenotype, and improves survival rates without introducing adverse events. Overall, this study offers promising strategies for treating deep-tissue XDR bacterial infections, and guides the design and optimization of biomimetic nanomedicine.

From brain to worksite: the role of fNIRS in cognitive studies and worker safety.

Effective hazard recognition and decision-making are crucial factors in ensuring workplace safety in the construction industry. Workers' cognition closely relates to that hazard-handling behavior. Functional near-infrared spectroscopy (fNIRS) is a neurotechique tool that can evaluate the concentration vibration of oxygenated hemoglobin [HbO2] and deoxygenated hemoglobin [HbR] to reflect the cognition process. It is essential to monitor workers' brain activity by fNIRS to analyze their cognitive status and reveal the mechanism in hazard recognition and decision-making process, providing guidance for capability evaluation and management enhancement. This review offers a systematic assessment of fNIRS, encompassing the basic theory, experiment analysis, data analysis, and discussion. A literature search and content analysis are conducted to identify the application of fNIRS in construction safety research, the limitations of selected studies, and the prospects of fNIRS in future research. This article serves as a guide for researchers keen on harnessing fNIRS to bolster construction safety standards and forwards insightful recommendations for subsequent studies.

A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles.

Driving style may have an important effect on traffic safety. Proactive crash risk prediction for lane-changing behaviors incorporating individual driving styles can help drivers make safe lane-changing decisions. However, the interaction between driving styles and lane-changing risk is still not fully understood, making it difficult for advanced driver-assistance systems (ADASs) to provide personalized lane-changing risk information services. This paper proposes a personalized risk lane-changing prediction framework that considers driving style. Several driving volatility indices based on vehicle interactive features have been proposed, and a dynamic clustering method is developed to determine the best identification time window and methods of driving style. The Light Gradient Boosting Machine (LightGBM) based on Shapley additive explanation is used to predict lane-changing risk for cautious, normal, and aggressive drivers and to analyze their risk factors. The highD trajectory dataset is used to evaluate the proposed framework. The obtained results show that i) spectral clustering and a time window of 3 s can accurately identify driving styles during the lane-changing intention process; ii) the LightGBM algorithm outperforms other machine learning methods in personalized lane-changing risk prediction; iii) aggressive drivers seek more individual driving freedom than cautious and normal drivers and tend to ignore the state of the car behind them in the target lane, with a greater lane-changing risk. The research conclusion can provide basic support for the development and application of personalized lane-changing warning systems in ADASs.

Assessing the Land Reclamation Suitability of Beam Fabrication and Storage Yard in Railway Construction: An AHP-MEA Method.

Railway construction contributes to socio-economic development but causes the occupation and destruction of land resources. How to effectively restore the temporary land and achieve efficient and rational reuse therefore becomes particularly important. The beam fabrication and storage yard (BFSY), as a large temporary facility during railway construction, occupies a large area of land. However, BFSYs damage the land in the way of pressing and may harden the ground to a high degree due to the use of high-density pile foundations, adversely affecting the soil properties. Therefore, this research aims to develop a model for evaluating the land reclamation suitability (LRS) of BFSY. The LRS evaluation indicator system of BFSY was firstly constructed based on the literature review and expert interviews. Then, an indicator-based model for assessing the LRS of BFSY was developed by integrating the analytic hierarchy process (AHP) model and the matter-element analysis (MEA) model. A case project in China was chosen to demonstrate and validate the developed model, and results show that the proposed model can rationally evaluate the LRS of BFSY in railway construction. The findings of this research enrich the knowledge system of sustainable railway construction and guide construction managers to conduct practical suitability assessments of land reclamation.

Mechanical Properties of Full-Scale UHPC-Filled Steel Tube Composite Columns under Axial Load.

In the realm of civil engineering, ultra-high-performance concrete-filled steel tube composite columns (UCFSTCs) constitute a new type of building material and structure, exhibiting high compressive strength and commendable durability. Given their promising characteristics, the prospects of their application are highly promising and are worthy of further exploration. However, current research has primarily focused on scaled-down specimens, thereby limiting a broader understanding of UCFSTCs' full-scale mechanical properties in real-world scenarios. This study aimed to investigate the mechanical properties of full-scale UHPC-filled steel tube composite columns (FUCFSTCs) in practical engineering applications. With the steel tube strength, steel tube thickness, concrete strength, aspect ratio, and steel tube diameter used as design parameters and the finite element software ABAQUS as the analytical tool, a total of 21 FUCFSTCs were designed and analyzed. Through a comparison with experimental curves, the rationality of both the material constitutive model and finite element model was verified, and the maximum error was 6.54%. Furthermore, this study analyzed the influence of different design parameters on FUCFSTCs' ultimate bearing capacity, ductility coefficient, and the stress-strain relationship of their concrete. The ductility coefficient remained around 1.3, and the cross-sectional size had the greatest impact on the bearing capacity of the composite column, with a maximum increase of 145.90%. Additionally, this paper provides an in-depth analysis of FUCFSTCs' mechanical behavior, failure mode, and stress process under an axial load. In conclusion, this research proposes an axial compression limit bearing capacity formula for FUCFSTCs via statistical regression, with a maximum error of 3.04%, meeting engineering accuracy requirements. Consequently, this study lays a strong foundation for the future application of FUCFSTCs in practical engineering.

Restoration and Evolution of the Paleogene (E1f2) Shale Sedimentary Environment in the Subei Basin, China.

Restoring the sedimentary environment of paleolakes is of great significance to the formation of laminated calcareous shale deposited in paleolakes and the prediction of shale oil reservoir distribution. This article focuses on the second section shale of the Paleogene in the Funing Formation in the Gaoyou Sag, Subei Basin, China, and uses X-ray fluorescence diffraction technology and core lithology analysis methods to obtain the content datum of major and trace elements such as Sr, Cu, Ba, Ga, V, and Ni in shale at different depths. Based on the empirical values of Sr/Cu, Sr/Ba, V/(V + Ni), and total organic carbon, paleoenvironmental evolution of the continental shale was determined and studied, including the changes in paleoclimate temperature, paleosalinity, paleowater depth, and strong or weak redox intensity. The research results indicate that the sedimentary environment of the paleolake in the Paleogene Funing Formation, second section, in the Gaoyou Sag is mainly characterized by a dry and hot climate; the salinity of paleolake water is that of stable brackish water, and the entire sedimentary period of the Funing Formation, second section, is dominated by a reduction environment, which is conducive to the preservation of sedimentary organic matter. The frequent changes in the depth of sedimentary water and the alternating dry and hot climate are the main reasons for the development of laminated calcareous shale in the second section of the Paleogene Funing Formation of the Gaoyou Sag and have also contributed to the abundant commercial resources of laminated calcareous shale oil in the second section of the Funing Formation.

Clinical values of metagenomic next-generation sequencing in patients with severe pneumonia: a systematic review and meta-analysis.

Background: Clinical values of metagenomic next-generation sequencing (mNGS) in patients with severe pneumonia remain controversial. Therefore, we conduct this meta-analysis to evaluate the diagnostic performance of mNGS for pathogen detection and its role in the prognosis of severe pneumonia. Methods: We systematically searched the literature published in PubMed, Embase, Cochrane Library, Web of Science, Clinical Trials.gov, CNKI, Wanfang Data, and CBM from the inception to the 28th September 2022. Relevant trials comparing mNGS with conventional methods applied to patients with severe pneumonia were included. The primary outcomes of this study were the pathogen-positive rate, the 28-day mortality, and the 90-day mortality; secondary outcomes included the duration of mechanical ventilation, the length of hospital stay, and the length of stay in the ICU. Results: Totally, 24 publications with 3220 patients met the inclusion criteria and were enrolled in this study. Compared with conventional methods (45.78%, 705/1540), mNGS (80.48%, 1233/1532) significantly increased the positive rate of pathogen detection [OR = 6.81, 95% CI (4.59, 10.11, P < 0.001]. The pooled 28-day and 90-day mortality in mNGS group were 15.08% (38/252) and 22.36% (36/161), respectively, which were significantly lower than those in conventional methods group 33.05% (117/354) [OR = 0.35, 95% CI (0.23, 0.55), P < 0.001, I2 = 0%] and 43.43%(109/251) [OR = 0.34, 95% CI (0.21, 0.54), P < 0.001]. Meanwhile, adjusted treatment based on the results of mNGS shortened the length of hospital stay [MD = -2.76, 95% CI (- 3.56, - 1.96), P < 0.001] and the length of stay in ICU [MD = -4.11, 95% CI (- 5.35, - 2.87), P < 0.001]. Conclusion: The pathogen detection positive rate of mNGS was much higher than that of conventional methods. Adjusted treatment based on mNGS results can reduce the 28-day and 90-day mortality of patients with severe pneumonia, and shorten the length of hospital and ICU stay. Therefore, mNGS advised to be applied to severe pneumonia patients as early as possible in addition to conventional methods to improve the prognosis and reduce the length of hospital stay.

Rational Construction of C@Sn/NSGr Composites as Enhanced Performance Anodes for Lithium Ion Batteries.

As a potential anode material for lithium-ion batteries (LIBs), metal tin shows a high specific capacity. However, its inherent "volume effect" may easily turn tin-based electrode materials into powder and make them fall off in the cycle process, eventually leading to the reduction of the specific capacity, rate and cycle performance of the batteries. Considering the "volume effect" of tin, this study proposes to construct a carbon coating and three-dimensional graphene network to obtain a "double confinement" of metal tin, so as to improve the cycle and rate performance of the composite. This excellent construction can stabilize the tin and prevent its agglomeration during heat treatment and its pulverization during cycling, improving the electrochemical properties of tin-based composites. When the optimized composite material of C@Sn/NSGr-7.5 was used as an anode material in LIB, it maintained a specific capacity of about 667 mAh g-1 after 150 cycles at the current density of 0.1 A g-1 and exhibited a good cycle performance. It also displayed a good rate performance with a capability of 663 mAh g-1, 516 mAh g-1, 389 mAh g-1, 290 mAh g-1, 209 mAh g-1 and 141 mAh g-1 at 0.1 A g-1, 0.2 A g-1, 0.5 A g-1, 1 A g-1, 2 A g-1 and 5 A g-1, respectively. Furthermore, it delivered certain capacitance characteristics, which could improve the specific capacity of the battery. The above results showed that this is an effective method to obtain high-performance tin-based anode materials, which is of great significance for the development of new anode materials for LIBs.

Nucleus-Targeting Manganese Dioxide Nanoparticles Coated with the Human Umbilical Cord Mesenchymal Stem Cell Membrane for Cancer Cell Therapy.

Recently, development of drug delivery systems for accurate delivery of antitumor drugs to tumor sites to improve their antitumor efficacy has attracted great interest in the area of cancer immunotherapy. In this report, an intelligent biodegradable hollow manganese dioxide (HMnO2) nanoparticle (NP) with a human umbilical cord mesenchymal stem cell (hUC-MSC) membrane coating was designed to exert efficient chemo-immunotherapy for cancer treatment. A TAT peptide-modified membrane structure was constructed for nuclear targeting. Our findings showed that this new nanoreactor inherited the active targeting capability of MSCs and exhibited tumoritropic accumulation significantly at the cancerous parts. Compared with other formulations, intravenous injection of the NPs markedly inhibited tumor growth, relapse, and metastasis. Moreover, we found that the NPs effectively boosted dendritic cell maturation and recruited effector T cells into tumors. Overall, this work demonstrates the great potential of applying MSC membrane-coated manganese dioxide NPs as nucleus-targeting nanocarriers in cancer chemo-immunotherapy.

Landslide Susceptibility Evaluation Using Different Slope Units Based on BP Neural Network.

Landslides are one of the most widespread natural hazards that cause damage to both property and life every year. Therefore, the landslide susceptibility evaluation is necessary for land hazard assessment and mitigation of landslide-related losses. Selecting an appropriate mapping unit is an essential step for landslide susceptibility evaluation. This study tested the back propagation (BP) neural network technique to develop a landslide susceptibility map in Qingchuan County, Sichuan Province, China. It compared the results of applying six different slope unit scales for landslide susceptibility maps obtained using hydrological analysis. We prepared a dataset comprising 973 historical landslide locations and six conditioning factors (elevation, slope degree, aspect, lithology, distance to fault lines, and distance to drainage network) to construct a geospatial database and divided the data into the training and testing datasets. We based on the BP learning algorithm to generate landslide susceptibility maps using the training dataset. We divided Qingchuan County into six different scales of slope unit: 4,401, 13,146, 39,251, 46,504, 56,570, and 69,013, then calculated the receiver operating characteristic (ROC) curve, and used the area under the curve (AUC) for the quantitative evaluation of 6 different slope unit scales of landslide susceptibility maps using the testing dataset. The verification results indicated that the evaluation generated by 56,570 slope units had the highest accuracy with a ROC curve of 0.9424. Overelaborate and rough division of slope units may not get the best evaluation results, and it is necessary to obtain the slope units most consistent with the actual situation through debugging. The results of this study will be useful for the development of landslide hazard mitigation strategies.

A Systematic Review of Eye-Tracking Studies of Construction Safety.

Safety is the most important concern in the construction industry, and construction workers' attention allocation is closely associated with their hazard recognition and safety behaviors. The recent emergence of eye-tracking techniques allows researchers in construction safety to further investigate construction workers' visual attention allocation during hazard recognition. The existing eye-tracking studies in construction safety need to be comprehensively understood, to provide practical suggestions for future research and on-site safety management. This study aims to summarize previous studies on the application of eye-tracking techniques to the construction safety context through a systematic literature review. The literature search and study selection process included 22 eligible studies. Content analysis was then carried out from participant selection, device selection, task design, area of interest determination, feature extraction, data analysis, and main findings. Major limitations of the existing studies are identified, and recommendations for future research in theoretical development, experiment improvement, and data analysis method advancement are proposed to address these limitations. Even though the application of eye-tracking techniques in construction safety research is still in its early stage, it is worth future continuous attention because relevant discoveries would be of great significance to hazard control and safety management in the construction industry.