Personal protective equipment(PPE)donning detection for medical staff is a key link of medical operation safety guarantee and is of great significance to combat COVID-19.However,the lack of dedicated datasets makes th...Personal protective equipment(PPE)donning detection for medical staff is a key link of medical operation safety guarantee and is of great significance to combat COVID-19.However,the lack of dedicated datasets makes the scarce research on intelligence monitoring of workers’PPE use in the field of healthcare.In this paper,we construct a dress codes dataset for medical staff under the epidemic.And based on this,we propose a PPE donning automatic detection approach using deep learning.With the participation of health care personnel,we organize 6 volunteers dressed in different combinations of PPE to simulate more dress situations in the preset structured environment,and an effective and robust dataset is constructed with a total of 5233 preprocessed images.Starting from the task’s dual requirements for speed and accuracy,we use the YOLOv4 convolutional neural network as our learning model to judge whether the donning of different PPE classes corresponds to the body parts of the medical staff meets the dress codes to ensure their self-protection safety.Experimental results show that compared with three typical deeplearning-based detection models,our method achieves a relatively optimal balance while ensuring high detection accuracy(84.14%),with faster processing time(42.02 ms)after the average analysis of 17 classes of PPE donning situation.Overall,this research focuses on the automatic detection of worker safety protection for the first time in healthcare,which will help to improve its technical level of risk management and the ability to respond to potentially hazardous events.展开更多
Activity 1 Think about the following questions and write down your answers before reading the text.1.Suppose you are planning a trip to Antarctica and want to visit Don Juan Pond,what special preparations would you ne...Activity 1 Think about the following questions and write down your answers before reading the text.1.Suppose you are planning a trip to Antarctica and want to visit Don Juan Pond,what special preparations would you need to make compared to a normal trip?2.In your opinion,how could the unique features of Don Juan Pond be used to develop educational programs for high school students?展开更多
In yeast,the stress-responsive protein Whi2 interacts with phosphatase Psr1 to form a complex that regulates cell growth,reproduction,infection,and the stress response.However,the roles of Whi2 and Psr1 in Fusarium gr...In yeast,the stress-responsive protein Whi2 interacts with phosphatase Psr1 to form a complex that regulates cell growth,reproduction,infection,and the stress response.However,the roles of Whi2 and Psr1 in Fusarium graminearum remain unclear.In this study,we identified homologous genes of WHI2 and PSR1 in F.graminearum and evaluated their functions by constructing deletion mutants.By comparing the responses of the mutants to different stressors,we found that FgWHI2 and FgPSR1 were involved in responding to osmotic,cell wall and cell membrane stresses,while also affecting the sexual and asexual reproduction in F.graminearum.Our studies demonstrated that FgWHI2 and FgPSR1 regulate the biosynthesis of ergosterol and the transcriptional level of FgCYP51C,which is a CYP51 paralogues unique to Fusarium species.This study also found that the deoxynivalenol(DON)production of FgWHI2 and FgPSR1 deletion mutants was reduced by≥90%and DON production was positively correlated with the transcriptional levels of FgWHI2 and FgPSR1.In addition,we observed that FgWHI2 and FgPSR1 were involved in regulating the sensitivity of F.graminearum to chlorothalonil,fluazinam,azoxystrobin,phenamacril,and oligomycin.This study revealed cross-resistance between chlorothalonil and fluazinam.Meanwhile,chlorothalonil and fluazinam inhibited DON biosynthesis by altering the normal expression of FgWhi2 and FgPsr1.Interestingly,the subcellular localization of FgWhi2 and FgPsr1 was significantly altered after treatment with chlorothalonil and fluazinam,with increased co-localization.Collectively,these findings indicate that FgWHI2 and FgPSR1 play crucial roles in stress response mechanisms,reproductive processes,secondary metabolite synthesis,and fungicide sensitivity in F.graminearum.展开更多
The emergence of SARS-CoV-2 variants and drug-resistant mutants emphasizes the urgent need to develop novel antiviral agents.In the present study,we examined the therapeutic effect of the Chinese medicinal herb,Scutel...The emergence of SARS-CoV-2 variants and drug-resistant mutants emphasizes the urgent need to develop novel antiviral agents.In the present study,we examined the therapeutic effect of the Chinese medicinal herb,Scutellaria barbata D.Don(SBD),against SARS-CoV-2 infection both in vitro and in vivo.Using a viral replicon particle(VRP)-based mouse model of SARS-CoV-2 infection,our study revealed that SBD extracts can reduce viral load in mouse lungs and alleviate the viral induced pneumonia.In vitro antiviral determination further validated the direct acting antiviral efficacy of SBD extracts against SARS-CoV-2 replication.Mechanistic studies demonstrated that SBD can act against SARS-CoV2 replication by targeting both 3-chymotrypsin-like and papain-like cysteine proteases,via a combination of multiple active constituents.Moreover,SBD can modulate the host inflammation response in a bi-directional manner,which also contribute to the mitigation of viral induced acute lung injury.In summary,our study provides SBD as a promising therapeutic agent to combat SARS-CoV-2 infections that merit further development.展开更多
The exploration of the molecular characteristics and transformation processes of soil dissolved organic nitrogen(DON)compounds is paramount,as they affect the leaching of DON components into groundwater.Nevertheless,t...The exploration of the molecular characteristics and transformation processes of soil dissolved organic nitrogen(DON)compounds is paramount,as they affect the leaching of DON components into groundwater.Nevertheless,the molecular transformation pathways remain largely uncharted territories.Hence,a comprehensive study of microbial-medicated DON transformation pathways across various land use soilswas conducted.The determination of DON components and microbial communities was accomplished utilizing advanced techniques,namely fourier transform ion cyclotron resonance mass spectrometry and 16S rRNA sequencing.Thesemethodologies were synergistically integrated with the FAPROTAX database and network analysis.The results showed that DON emerged as the predominant nitrogen fraction,displaying significant variations in composition across these soils.The dominant constitutes comprised lignin-like and condensed aromatic compounds,varying in their aromaticity and condensation degrees.Key microbial genera,including Solirubrobacter,67–14,and Bacillus,were identified as crucial for DON decomposition and mineralization.Functional annotation revealed abundant bacteria associated with the breakdown of aromatic compounds,the degradation of aliphatic non-methane hydrocarbons,and the hydrolysis of cellulose.Network analysis emphasized the interconnected and cooperative aspects of DON transformation processes,with notable relationships between N respiration and various degradation activities.Correlation analysis between microbial functions and DON components emphasized distinctmechanisms involved in the transformation of DON components.The orchestrated process of converting high-molecular-weight DON into lowmolecular-weight counterparts facilitates potential leaching into groundwater,emphasizing the need for understanding and managing microbial-mediated DON transformation pathways to mitigate groundwater contamination risk.展开更多
[Objective]The aim of this work was to establish an analytical method for the determination of deoxynivalenol(DON)in feeds using automatic immunomagnetic beads(IMBs)clean-up coupled with high-performance liquid chroma...[Objective]The aim of this work was to establish an analytical method for the determination of deoxynivalenol(DON)in feeds using automatic immunomagnetic beads(IMBs)clean-up coupled with high-performance liquid chromatography.[Method]Feed samples were extracted using ultra-pure water,purified by automatic IMBs,and subsequently analyzed via high-performance liquid chromatography,employing an external standard method for quantification.[Result]A satisfactory linearity was achieved for DON within the concentration range of 0.05 to 2.0μg/mL,with the corresponding correlation coefficients(R^(2))exceeding 0.9999.The limit of detection(LOD)and limit of quantification(LOQ)for the proposed method were determined to be 0.03 and 0.1 mg/kg,respectively.The average recoveries of the fortified samples(0.1,0.2 and 1.0 mg/kg)were 88.5%−100.6%,with the relative standard deviations(RSD)ranging from 2.1%to 9.7%.[Conclusion]In comparison with the traditional solidphase extraction and immunoaffinity column purification methods,the IMBs technique consolidates the extraction,separation,and purification into a single process.This approach enables fully automated processing,which significantly enhances work efficiency and mitigates result deviations that may arise from manual operations.Consequently,this technique is particularly well-suited for the determination of DON in a large number of feed samples.展开更多
基金supported by the grants from the Natural Science Foundation of China(No.72161034).
文摘Personal protective equipment(PPE)donning detection for medical staff is a key link of medical operation safety guarantee and is of great significance to combat COVID-19.However,the lack of dedicated datasets makes the scarce research on intelligence monitoring of workers’PPE use in the field of healthcare.In this paper,we construct a dress codes dataset for medical staff under the epidemic.And based on this,we propose a PPE donning automatic detection approach using deep learning.With the participation of health care personnel,we organize 6 volunteers dressed in different combinations of PPE to simulate more dress situations in the preset structured environment,and an effective and robust dataset is constructed with a total of 5233 preprocessed images.Starting from the task’s dual requirements for speed and accuracy,we use the YOLOv4 convolutional neural network as our learning model to judge whether the donning of different PPE classes corresponds to the body parts of the medical staff meets the dress codes to ensure their self-protection safety.Experimental results show that compared with three typical deeplearning-based detection models,our method achieves a relatively optimal balance while ensuring high detection accuracy(84.14%),with faster processing time(42.02 ms)after the average analysis of 17 classes of PPE donning situation.Overall,this research focuses on the automatic detection of worker safety protection for the first time in healthcare,which will help to improve its technical level of risk management and the ability to respond to potentially hazardous events.
文摘Activity 1 Think about the following questions and write down your answers before reading the text.1.Suppose you are planning a trip to Antarctica and want to visit Don Juan Pond,what special preparations would you need to make compared to a normal trip?2.In your opinion,how could the unique features of Don Juan Pond be used to develop educational programs for high school students?
基金supported by the National Key Research and Development Program of China(2022YFD1400100)the Jiangsu Agriculture Science and Technology Innovation Fund,China(CX(21)2037)+1 种基金the Guidance Foundation of the Hainan Institute of Nanjing Agricultural University,China(NAUSY-MS03)the Postgraduate Research&Practice Innovation Program of Jiangsu Province,China(KYCX20_0596)。
文摘In yeast,the stress-responsive protein Whi2 interacts with phosphatase Psr1 to form a complex that regulates cell growth,reproduction,infection,and the stress response.However,the roles of Whi2 and Psr1 in Fusarium graminearum remain unclear.In this study,we identified homologous genes of WHI2 and PSR1 in F.graminearum and evaluated their functions by constructing deletion mutants.By comparing the responses of the mutants to different stressors,we found that FgWHI2 and FgPSR1 were involved in responding to osmotic,cell wall and cell membrane stresses,while also affecting the sexual and asexual reproduction in F.graminearum.Our studies demonstrated that FgWHI2 and FgPSR1 regulate the biosynthesis of ergosterol and the transcriptional level of FgCYP51C,which is a CYP51 paralogues unique to Fusarium species.This study also found that the deoxynivalenol(DON)production of FgWHI2 and FgPSR1 deletion mutants was reduced by≥90%and DON production was positively correlated with the transcriptional levels of FgWHI2 and FgPSR1.In addition,we observed that FgWHI2 and FgPSR1 were involved in regulating the sensitivity of F.graminearum to chlorothalonil,fluazinam,azoxystrobin,phenamacril,and oligomycin.This study revealed cross-resistance between chlorothalonil and fluazinam.Meanwhile,chlorothalonil and fluazinam inhibited DON biosynthesis by altering the normal expression of FgWhi2 and FgPsr1.Interestingly,the subcellular localization of FgWhi2 and FgPsr1 was significantly altered after treatment with chlorothalonil and fluazinam,with increased co-localization.Collectively,these findings indicate that FgWHI2 and FgPSR1 play crucial roles in stress response mechanisms,reproductive processes,secondary metabolite synthesis,and fungicide sensitivity in F.graminearum.
基金supported by the National Natural Science Foundation of China(82274204 and 82104134)the Natural Science Foundation of Shandong Province,China(ZR2024QH110)+1 种基金the Major Basic Program of Shandong Natural Science Foundation,China(ZR2021ZD17)the Project of Youth Innovation Team of Shandong Province(2022KJ254).
文摘The emergence of SARS-CoV-2 variants and drug-resistant mutants emphasizes the urgent need to develop novel antiviral agents.In the present study,we examined the therapeutic effect of the Chinese medicinal herb,Scutellaria barbata D.Don(SBD),against SARS-CoV-2 infection both in vitro and in vivo.Using a viral replicon particle(VRP)-based mouse model of SARS-CoV-2 infection,our study revealed that SBD extracts can reduce viral load in mouse lungs and alleviate the viral induced pneumonia.In vitro antiviral determination further validated the direct acting antiviral efficacy of SBD extracts against SARS-CoV-2 replication.Mechanistic studies demonstrated that SBD can act against SARS-CoV2 replication by targeting both 3-chymotrypsin-like and papain-like cysteine proteases,via a combination of multiple active constituents.Moreover,SBD can modulate the host inflammation response in a bi-directional manner,which also contribute to the mitigation of viral induced acute lung injury.In summary,our study provides SBD as a promising therapeutic agent to combat SARS-CoV-2 infections that merit further development.
基金supported by Beijing Natural Science Foundation(No.JQ21031)the National Natural Science Foundation of China(No.42107052).
文摘The exploration of the molecular characteristics and transformation processes of soil dissolved organic nitrogen(DON)compounds is paramount,as they affect the leaching of DON components into groundwater.Nevertheless,the molecular transformation pathways remain largely uncharted territories.Hence,a comprehensive study of microbial-medicated DON transformation pathways across various land use soilswas conducted.The determination of DON components and microbial communities was accomplished utilizing advanced techniques,namely fourier transform ion cyclotron resonance mass spectrometry and 16S rRNA sequencing.Thesemethodologies were synergistically integrated with the FAPROTAX database and network analysis.The results showed that DON emerged as the predominant nitrogen fraction,displaying significant variations in composition across these soils.The dominant constitutes comprised lignin-like and condensed aromatic compounds,varying in their aromaticity and condensation degrees.Key microbial genera,including Solirubrobacter,67–14,and Bacillus,were identified as crucial for DON decomposition and mineralization.Functional annotation revealed abundant bacteria associated with the breakdown of aromatic compounds,the degradation of aliphatic non-methane hydrocarbons,and the hydrolysis of cellulose.Network analysis emphasized the interconnected and cooperative aspects of DON transformation processes,with notable relationships between N respiration and various degradation activities.Correlation analysis between microbial functions and DON components emphasized distinctmechanisms involved in the transformation of DON components.The orchestrated process of converting high-molecular-weight DON into lowmolecular-weight counterparts facilitates potential leaching into groundwater,emphasizing the need for understanding and managing microbial-mediated DON transformation pathways to mitigate groundwater contamination risk.
基金Supported by National Key Research and Development Program of China(2023YFD1301001)Central Public-interest Scientific Institution Basal Research Fund(1610072023005)Agricultural Science and Technology Innovation Program of CAAS(CAAS-ASTIP-IQSTAP-04).
文摘[Objective]The aim of this work was to establish an analytical method for the determination of deoxynivalenol(DON)in feeds using automatic immunomagnetic beads(IMBs)clean-up coupled with high-performance liquid chromatography.[Method]Feed samples were extracted using ultra-pure water,purified by automatic IMBs,and subsequently analyzed via high-performance liquid chromatography,employing an external standard method for quantification.[Result]A satisfactory linearity was achieved for DON within the concentration range of 0.05 to 2.0μg/mL,with the corresponding correlation coefficients(R^(2))exceeding 0.9999.The limit of detection(LOD)and limit of quantification(LOQ)for the proposed method were determined to be 0.03 and 0.1 mg/kg,respectively.The average recoveries of the fortified samples(0.1,0.2 and 1.0 mg/kg)were 88.5%−100.6%,with the relative standard deviations(RSD)ranging from 2.1%to 9.7%.[Conclusion]In comparison with the traditional solidphase extraction and immunoaffinity column purification methods,the IMBs technique consolidates the extraction,separation,and purification into a single process.This approach enables fully automated processing,which significantly enhances work efficiency and mitigates result deviations that may arise from manual operations.Consequently,this technique is particularly well-suited for the determination of DON in a large number of feed samples.
