Firefighting protective clothing is a crucial protective equipment for firefighters to minimize skin burn and ensure safety firefighting operation and rescue mission.A recent increasing concern is to develop self-powe...Firefighting protective clothing is a crucial protective equipment for firefighters to minimize skin burn and ensure safety firefighting operation and rescue mission.A recent increasing concern is to develop self-powered fire warning materials that can be incorporated into the firefighting clothing to achieve active fire protection for firefighters before the protective clothing catches fire on fireground.However,it is still a challenge to facilely design and manufacture thermoelectric(TE)textile(TET)-based fire warning electronics with dynamic surface conformability and breathability.Here,we develop an alternate coaxial wet-spinning strategy to continuously produce alternating p/n-type TE aerogel fibers involving n-type Ti_(3)C_(2)T_(x)MXene and p-type MXene/SWCNT-COOH as core materials,and tough aramid nanofiber as protective shell,which simultaneously ensure the flexibility and high-efficiency TE power generation.With such alternating p/n-type TE fibers,TET-based self-powered fire warning sensors with high mechanical stability and wearability are successfully fabricated through stitching the alternating p-n segment TE fibers into aramid fabric.The results indicate that TET-based fire warning electronics containing 50 p-n pairs produce the open-circuit voltage of 7.5 mV with a power density of 119.79 nW cm-2 at a temperature difference of 300℃.The output voltage signal is then calculated as corresponding surface temperature of firefighting clothing based on a linear relationship between TE voltage and temperature.The fire alarm response time and flame-retardant properties are further displayed.Such self-powered fire warning electronics are true textiles that offer breathability and compatibility with body movement,demonstrating their potential application in firefighting clothing.展开更多
Using N-methyl-D-glucosamine(NMDG)as the functional monomer,glycidyl methacrylate(GMA)as the connecting monomer,functionalized Fe3O4 nano-particles(NPs)as the support,three adsorbents were prepared including direct po...Using N-methyl-D-glucosamine(NMDG)as the functional monomer,glycidyl methacrylate(GMA)as the connecting monomer,functionalized Fe3O4 nano-particles(NPs)as the support,three adsorbents were prepared including direct polymer GMA-NMDG,magnetic GMA-NMDG polymer(MGN),and boron magnetic ion-imprinted polymer(BMIIP).Based upon the optimization of synthesis conditions,the prepared adsorbents and intermediate products were characterized using Fourier transform infrared spectroscopy,thermogravimetric analysis,scanning electron microscope,energy dispersive spectroscopy,X-ray diffraction,vibrating sample magnetometer,and Brunauer–Emmett–Teller to investigate the synthesis process,the morphological structure and the functional properties of the materials.The optimum performances of GMA-NMDG,MGN and BMIIP were obtained in the initial neutral solution(pH of 6.5).Moreover,GMANMDG and MGN reached the maximum adsorption capacity at 120 min,whereas BMIIP reached adsorption saturation at 60 min.The pseudo-second-order kinetic model was more suitable for the adsorption of boron using the adsorbents.The maximum adsorption capacity of GMA-NMDG was found to be 43.4 mg·g^(-1),while those of MGN and BMIIP were 32.5 and 28.3 mg·g^(-1),respectively.The Langmuir isotherm model was more appropriate to describe the adsorption process.The adsorbents maintained satisfactory adsorption performance within a certain temperature range.Competing ions had little effect on the adsorption of boron,and would be adsorbed simultaneously,due to which,the effect of co-adsorption can be considered.The adsorption capacity of GMA-NMDG was high,while the adsorption selectivity of BMIIP was much better.Furthermore,BMIIP showed good adsorption after five cycles of adsorption and desorption.The comparison of adsorbents showed that GMA-NMDG had the highest adsorption capacity and was suitable for co-adsorption.MGN had a high adsorption capacity,good comprehensive performance and magnetic properties.BMIIP had better adsorption rate,adsorption selectivity and recyclability.Through the optimization of synthesis conditions,the adsorption capacity of the traditional monomer NMDG polymer was increased,and the magnetism was given to facilitate rapid recovery.Combined with the ion imprinting technology,it showed higher boron adsorption selectivity in the presence of competitive ions.展开更多
The judgment of gear failure is based on the pitting area ratio of gear.Traditional gear pitting calculation method mainly rely on manual visual inspection.This method is greatly affected by human factors,and is great...The judgment of gear failure is based on the pitting area ratio of gear.Traditional gear pitting calculation method mainly rely on manual visual inspection.This method is greatly affected by human factors,and is greatly affected by the working experience,training degree and fatigue degree of the detection personnel,so the detection results may be biased.The non-contact computer vision measurement can carry out non-destructive testing and monitoring under the working condition of the machine,and has high detection accuracy.To improve the measurement accuracy of gear pitting,a novel multi-scale splicing attention U-Net(MSSA U-Net)is explored in this study.An image splicing module is first proposed for concatenating the output feature maps of multiple convolutional layers into a splicing feature map with more semantic information.Then,an attention module is applied to select the key features of the splicing feature map.Given that MSSA U-Net adequately uses multi-scale semantic features,it has better segmentation performance on irregular small objects than U-Net and attention U-Net.On the basis of the designed visual detection platform and MSSA U-Net,a methodology for measuring the area ratio of gear pitting is proposed.With three datasets,experimental results show that MSSA U-Net is superior to existing typical image segmentation methods and can accurately segment different levels of pitting due to its strong segmentation ability.Therefore,the proposed methodology can be effectively applied in measuring the pitting area ratio and determining the level of gear pitting.展开更多
Multiple endocrine neoplasia 1(MEN1)syndrome,a disease arising from a genetic predisposition to tumor development caused by MEN1 loss-of-function mutations,is characterized by the combined occurrence of neuroendocrine...Multiple endocrine neoplasia 1(MEN1)syndrome,a disease arising from a genetic predisposition to tumor development caused by MEN1 loss-of-function mutations,is characterized by the combined occurrence of neuroendocrine tumors in multiple human organs.With advances in diagnostic technologies and improvements in living standards.展开更多
Cold atom physics in space station arouses a lot of interest of scientists. We investigate the dynamical output process of the space continuous atom laser by solving nonlinear Gross–Pitaevksii equations numerically. ...Cold atom physics in space station arouses a lot of interest of scientists. We investigate the dynamical output process of the space continuous atom laser by solving nonlinear Gross–Pitaevksii equations numerically. Slow-moving continuous atom beams in two directions are observed simultaneously. The slow-moving coherent atom beams can be used as a source of atom interferometer to realize long-time measurements. We also control the output of space atom laser by adjusting the output coupling strength.展开更多
基金This work was financially supported by the Opening Project of National Local Joint Laboratory for Advanced Textile Processing and Clean Production(FX2022006)Guiding Project of Natural Science Foundation of Hubei province(2022CFC072)+2 种基金Guiding Project of Scientific Research Plan of Education Department of Hubei Province(B2022081)Shenghong Key Scientific Research Project of Emergency Support and Public Safety Fiber Materials and Products(2022-rw0101)Science and Technology Guidance Program of China National Textile and Apparel Council(2022002).
文摘Firefighting protective clothing is a crucial protective equipment for firefighters to minimize skin burn and ensure safety firefighting operation and rescue mission.A recent increasing concern is to develop self-powered fire warning materials that can be incorporated into the firefighting clothing to achieve active fire protection for firefighters before the protective clothing catches fire on fireground.However,it is still a challenge to facilely design and manufacture thermoelectric(TE)textile(TET)-based fire warning electronics with dynamic surface conformability and breathability.Here,we develop an alternate coaxial wet-spinning strategy to continuously produce alternating p/n-type TE aerogel fibers involving n-type Ti_(3)C_(2)T_(x)MXene and p-type MXene/SWCNT-COOH as core materials,and tough aramid nanofiber as protective shell,which simultaneously ensure the flexibility and high-efficiency TE power generation.With such alternating p/n-type TE fibers,TET-based self-powered fire warning sensors with high mechanical stability and wearability are successfully fabricated through stitching the alternating p-n segment TE fibers into aramid fabric.The results indicate that TET-based fire warning electronics containing 50 p-n pairs produce the open-circuit voltage of 7.5 mV with a power density of 119.79 nW cm-2 at a temperature difference of 300℃.The output voltage signal is then calculated as corresponding surface temperature of firefighting clothing based on a linear relationship between TE voltage and temperature.The fire alarm response time and flame-retardant properties are further displayed.Such self-powered fire warning electronics are true textiles that offer breathability and compatibility with body movement,demonstrating their potential application in firefighting clothing.
基金Project(2019YFC1907405)supported by the National Key R&D Program of ChinaProjects(52064021,52074136)supported by the National Natural Science Foundation of China+6 种基金Project(20204BCJL23031)supported by the Jiangxi Provincial Cultivation Program for Academic and Technical Leaders of Major Subjects,ChinaProject(20202ACB213002)supported by the Jiangxi Provincial Science Fund for Distinguished Young Scholars,ChinaProject(2019KY09)supported by the Merit-based Postdoctoral Research in Jiangxi Province,ChinaProject(JXUSTQJBJ2020004)supported by the Program of Qingjiang Excellent Young TalentsJiangxi University of Science and Technology,ChinaProject(2021ACB204015)supported by the Distinguished Professor Program of Jinggang Scholars in Institutions of Higher LearningNatural Science Foundation of Jiangxi Province,China。
基金supported by the National Natural Science Foundation of China(22078157)the Natural Science Foundation of the Jiangsu Higher Education institutions of China(21KJB610011)Postgraduate Research and Practice Innovation Program of Jiangsu Province(SJCX21_0468).
文摘Using N-methyl-D-glucosamine(NMDG)as the functional monomer,glycidyl methacrylate(GMA)as the connecting monomer,functionalized Fe3O4 nano-particles(NPs)as the support,three adsorbents were prepared including direct polymer GMA-NMDG,magnetic GMA-NMDG polymer(MGN),and boron magnetic ion-imprinted polymer(BMIIP).Based upon the optimization of synthesis conditions,the prepared adsorbents and intermediate products were characterized using Fourier transform infrared spectroscopy,thermogravimetric analysis,scanning electron microscope,energy dispersive spectroscopy,X-ray diffraction,vibrating sample magnetometer,and Brunauer–Emmett–Teller to investigate the synthesis process,the morphological structure and the functional properties of the materials.The optimum performances of GMA-NMDG,MGN and BMIIP were obtained in the initial neutral solution(pH of 6.5).Moreover,GMANMDG and MGN reached the maximum adsorption capacity at 120 min,whereas BMIIP reached adsorption saturation at 60 min.The pseudo-second-order kinetic model was more suitable for the adsorption of boron using the adsorbents.The maximum adsorption capacity of GMA-NMDG was found to be 43.4 mg·g^(-1),while those of MGN and BMIIP were 32.5 and 28.3 mg·g^(-1),respectively.The Langmuir isotherm model was more appropriate to describe the adsorption process.The adsorbents maintained satisfactory adsorption performance within a certain temperature range.Competing ions had little effect on the adsorption of boron,and would be adsorbed simultaneously,due to which,the effect of co-adsorption can be considered.The adsorption capacity of GMA-NMDG was high,while the adsorption selectivity of BMIIP was much better.Furthermore,BMIIP showed good adsorption after five cycles of adsorption and desorption.The comparison of adsorbents showed that GMA-NMDG had the highest adsorption capacity and was suitable for co-adsorption.MGN had a high adsorption capacity,good comprehensive performance and magnetic properties.BMIIP had better adsorption rate,adsorption selectivity and recyclability.Through the optimization of synthesis conditions,the adsorption capacity of the traditional monomer NMDG polymer was increased,and the magnetism was given to facilitate rapid recovery.Combined with the ion imprinting technology,it showed higher boron adsorption selectivity in the presence of competitive ions.
基金Supported by National Natural Science Foundation of China (Grant Nos.62033001 and 52175075)Chongqing Municipal Graduate Scientific Research and Innovation Foundation of China (Grant No.CYB21010)。
文摘The judgment of gear failure is based on the pitting area ratio of gear.Traditional gear pitting calculation method mainly rely on manual visual inspection.This method is greatly affected by human factors,and is greatly affected by the working experience,training degree and fatigue degree of the detection personnel,so the detection results may be biased.The non-contact computer vision measurement can carry out non-destructive testing and monitoring under the working condition of the machine,and has high detection accuracy.To improve the measurement accuracy of gear pitting,a novel multi-scale splicing attention U-Net(MSSA U-Net)is explored in this study.An image splicing module is first proposed for concatenating the output feature maps of multiple convolutional layers into a splicing feature map with more semantic information.Then,an attention module is applied to select the key features of the splicing feature map.Given that MSSA U-Net adequately uses multi-scale semantic features,it has better segmentation performance on irregular small objects than U-Net and attention U-Net.On the basis of the designed visual detection platform and MSSA U-Net,a methodology for measuring the area ratio of gear pitting is proposed.With three datasets,experimental results show that MSSA U-Net is superior to existing typical image segmentation methods and can accurately segment different levels of pitting due to its strong segmentation ability.Therefore,the proposed methodology can be effectively applied in measuring the pitting area ratio and determining the level of gear pitting.
基金Project(2019YFC1907405) supported by the National Key R&D Program of ChinaProjects(52064021,52074136,51974140,52064018) supported by the National Natural Science Foundation of China+4 种基金Project(20204BCJL23031) supported by the Jiangxi Provincial Cultivation Program for Academic and Technical Leaders of Major Subjects,ChinaProject(20202ACB213002) supported by the Jiangxi Province Science Fund for Distinguished Young Scholars,ChinaProject(2019KY09) supported by the Merit-based Postdoctoral Research in Jiangxi Province,ChinaProject(JXUSTQJBJ2020004) supported by the Program of Qingjiang Excellent Young Talents,Jiangxi University of Science and Technology,ChinaProject(20212ACB204015) supported by the Key Projects of Jiangxi Key R&D Plan,China。
基金jointly supported by the National Natural Science Foundation of China(Grant No.U21A20374),National Natural Science Foundation of China(Grant Nos.82141129 and 82141104)Shanghai Municipal Science and Technology Major Project(Grant No.21JC1401500)+4 种基金Scientific Innovation Project of Shanghai Education Committee(Grant No.2019-01-0700-07-E00057)Clinical Research Plan of Shanghai Hospital Development Center(Grant No.SHDC2020CR1006A)Xuhui District Artificial Intelligence Medical Hospital Cooperation Project(Grant No.2021-011)Shanghai Municipal Science and Technology Commission(Grant No.19QA1402100)Shanghai Pujiang Program(Grant No.22PJ1401800).
文摘Multiple endocrine neoplasia 1(MEN1)syndrome,a disease arising from a genetic predisposition to tumor development caused by MEN1 loss-of-function mutations,is characterized by the combined occurrence of neuroendocrine tumors in multiple human organs.With advances in diagnostic technologies and improvements in living standards.
基金Project supported by the National Key Research and Development Program of China (Grant Nos.2021YFA1400903 and 2021YFA0718302)the National Natural Science Foundation of China (Grant No.11874418)。
文摘Cold atom physics in space station arouses a lot of interest of scientists. We investigate the dynamical output process of the space continuous atom laser by solving nonlinear Gross–Pitaevksii equations numerically. Slow-moving continuous atom beams in two directions are observed simultaneously. The slow-moving coherent atom beams can be used as a source of atom interferometer to realize long-time measurements. We also control the output of space atom laser by adjusting the output coupling strength.
