In this study, aqueous extraction method is used because of its high extraction ratio, light fastness and also functional properties. In 1st phase, for dyeing S/J cotton knit fabric with green walnut power ferrous sul...In this study, aqueous extraction method is used because of its high extraction ratio, light fastness and also functional properties. In 1st phase, for dyeing S/J cotton knit fabric with green walnut power ferrous sulfate is considered as a mordant. In this study, three different mordanting methods such as pre-, meta-, and post-mordanting are conveyed the dyeing process with the state of metallic mordant and without metallic salt mordants. In 2nd phase, in dyeing for fixation ferrous sulfate was considered as mordants. Furthermore, the analysis and evaluation of each colour dyed material was done through following two terms for instance CIELAB (L*, a*, and b*) and K/S values. According to AATCC test methods, colour fastness to washing, crocking, perspiration of the dyed samples is determined whereas according to the ISO standard, the colour fastness to light was estimated and tested. When dyeing was carried out on S/J cotton knit fabric through considering optimum parameter like at 80°C for 60 min and at pH 4 which showed optimum results. From the results we can see, very good wash fastness was obtained while there is no fading of the colour, whereas the outstanding and moderate level of colour fastness to light and crocking is achieved.展开更多
Polyurethane modified organic silicone was successfully prepared from hydroxyl-terminated polyether modified silicone,toluene-2,4-diisocyanate( TDI), and NaHSO3. The chemical structure of the polyurethane modified org...Polyurethane modified organic silicone was successfully prepared from hydroxyl-terminated polyether modified silicone,toluene-2,4-diisocyanate( TDI), and NaHSO3. The chemical structure of the polyurethane modified organic silicone was characterized by FT-IR and1H-NMR. The polymer film on the cotton surface was investigated by scanning electron microscopy( SEM) and the results showed that a thin polymer film was successfully formed. The FT-IR of treated cotton fabrics indicated that hydroxyl( OH) of cellulose fiber and isocyanate group( NCO)of the polyurethane modified organic silicone has formed covalent cross-linking. X-ray diffraction( XRD) analysis revealed that the crystalline region of treated cotton fabrics wasn't changed. The wet rubbing fastness of treated cotton fabrics was increased by approximately rating 1 on average. There was little change of DE values for the polyurethane modified organic silicone. The softness was improved significantly.展开更多
Green thinking looks to develop alternatives with higher environmental advantage that traditional materials or processes. The present experimental studies are directed to investigation of dyeing the linen fabric prepa...Green thinking looks to develop alternatives with higher environmental advantage that traditional materials or processes. The present experimental studies are directed to investigation of dyeing the linen fabric prepared with modification with enzymes. In the research, 1% and 2% solution of cellulase enzyme Beizym ENC-SB (garment auxiliary of enzymes mixture of CHT R. BEITLICH GmbH/BEZEMA AG) and pectinase Beisol PRO (enzymes mixture for cleaning cellulose fibers of CHT R. BE1TLICH GmbH) enzyme solutions were used. The main objective of this work is focus on results studies of enzyme influence on dyeing of flax fabric with direct Solphenyl dye triade Blue FGLE (economical, fairly good light fast blue, main trichromatic component for medium shades with high wash fastness), Scarlet BNLE (economical scarlet, main trichromatic component for medium to dark shades) 200%, and Yellow GLE (very bright neutral yellow, main trichromatic component for high wash fastness requirements). The dye-bath exhaustion, color fastness to rubbing and washing were estimated. The color parameters before and after tests were calculated.展开更多
The paper reports the consideration for fastness and homogeneous character of coating film on large telescope. After coating film, we obtain that the optical homogeneous character of whole mirror is in 1/20 λ, and re...The paper reports the consideration for fastness and homogeneous character of coating film on large telescope. After coating film, we obtain that the optical homogeneous character of whole mirror is in 1/20 λ, and reflective rate is about 92%. We found that the thin film doesn’t tick to offset paper, and the film is still well after two years.展开更多
To address the challenges in detecting abrasion-resistant color fastness samples–including limited sample instances,non-uniform shapes,and insufficiently distinct texture variations that compromise localization accur...To address the challenges in detecting abrasion-resistant color fastness samples–including limited sample instances,non-uniform shapes,and insufficiently distinct texture variations that compromise localization accuracy–this paper optimizes the detection framework through the integration of three key strategies:Global Attention Mechanism(GAM),Dynamic Sampling(DySample),and Adaptively Spatial Feature Fusion(ASFF),thereby enhancing detection accuracy and efficiency.Initially,Mosaic data augmentation is implemented to enrich dataset diversity and improve model robustness.Subsequently,the GAM attention mechanism is embedded into the backbone network to enhance target feature extraction capabilities.DySample replaces conventional upsampling methods in the neck network to achieve more effective feature reconstruction.Finally,the ASFF module is integrated into the Detect module within the head network to enable adaptively spatial weight learning for multi-scale feature map fusion.Compared with baseline algorithms,the improved framework demonstrates performance gains of 1.2%in Precision,3.0%in Recall,1.2%in mAP@0.5,and 13.5%in mAP@0.5:0.95.Experimental results validate the effectiveness of the proposed method,which maintains satisfactory performance across additional datasets,demonstrating strong robustness and superior generalization capability.展开更多
Early identification and treatment of stroke can greatly improve patient outcomes and quality of life.Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are...Early identification and treatment of stroke can greatly improve patient outcomes and quality of life.Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are commonly used for stroke screening,accurate administration is dependent on specialized training.In this study,we proposed a novel multimodal deep learning approach,based on the FAST,for assessing suspected stroke patients exhibiting symptoms such as limb weakness,facial paresis,and speech disorders in acute settings.We collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements,facial expressions,and speech tests based on the FAST.We compared the constructed deep learning model,which was designed to process multi-modal datasets,with six prior models that achieved good action classification performance,including the I3D,SlowFast,X3D,TPN,TimeSformer,and MViT.We found that the findings of our deep learning model had a higher clinical value compared with the other approaches.Moreover,the multi-modal model outperformed its single-module variants,highlighting the benefit of utilizing multiple types of patient data,such as action videos and speech audio.These results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke,thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.展开更多
Objective This study aimed to investigate the impact of glycemic control and diabetes duration on subsequent myocardial infarction(MI)in patients with both coronary heart disease(CHD)and type 2 diabetes(T2D).Methods W...Objective This study aimed to investigate the impact of glycemic control and diabetes duration on subsequent myocardial infarction(MI)in patients with both coronary heart disease(CHD)and type 2 diabetes(T2D).Methods We conducted a retrospective cohort study of 33,238 patients with both CHD and T2D in Shenzhen,China.Patients were categorized into 6 groups based on baseline fasting plasma glucose(FPG)levels and diabetes duration(from the date of diabetes diagnosis to the baseline date)to examine their combined effects on subsequent MI.Cox proportional hazards regression models were used,with further stratification by age,sex,and comorbidities to assess potential interactions.Results Over a median follow-up of 2.4 years,2,110 patients experienced MI.Compared to those with optimal glycemic control(FPG<6.1 mmol/L)and shorter diabetes duration(<10 years),the fullyadjusted hazard ratio(HR)(95%Confidence Interval[95%CI])for those with a diabetes duration of≥10 years and FPG>8.0 mmol/L was 1.93(95%CI:1.59,2.36).The combined effects of FPG and diabetes duration on MI were largely similar across different age,sex,and comorbidity groups,although the excess risk of MI associated with long-term diabetes appeared to be more pronounced among those with atrial fibrillation.Conclusion Our study indicates that glycemic control and diabetes duration significant influence the subsequent occurrence of MI in patients with both CHD and T2D.Tailored management strategies emphasizing strict glycemic control may be particularly beneficial for patients with longer diabetes duration and atrial fibrillation.展开更多
With the advancement of astronomical observation technology,people have a deeper understanding of the formation and evolution of galaxies,but many details of our own Milky Way and other external galaxies are still unk...With the advancement of astronomical observation technology,people have a deeper understanding of the formation and evolution of galaxies,but many details of our own Milky Way and other external galaxies are still unknown.Therefore,by studying the formation and orbital transformation mechanism of satellites,planets and stars,the author puts forward a new theory on the formation and evolution of stars and galaxies,thus revealing the hierarchical structure of galaxies and the formation and evolution laws of main sequence stars,red giants,white dwarfs,black dwarfs,supernovae,neutron stars,black holes and quasars.Some special phenomena in the course of star formation and evolution,such as sunspots,flares,fast radio bursts and gamma-ray bursts,have also been revealed.展开更多
Objective We aimed to investigate the patterns of fasting blood glucose(FBG)trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers.Methods The s...Objective We aimed to investigate the patterns of fasting blood glucose(FBG)trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers.Methods The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort(TGOC)between 2017 and 2022.A group-based trajectory model was used to identify the FBG trajectories.Environmental risk scores(ERS)were constructed using regression coefficients from the occupational hazard model as weights.Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories.Results FBG trajectories were categorized into three groups.An association was observed between high temperature,noise exposure,and FBG trajectory(P<0.05).Using the first quartile group of ERS1 as a reference,the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90and 2.21 times,respectively(odds ratio[OR]=1.90,95%confidence interval[CI]:1.17–3.10;OR=2.21,95%CI:1.09–4.45).Conclusion An association was observed between occupational hazards based on ERS and FBG trajectories.The risk of FBG trajectory levels increase with an increase in ERS.展开更多
In the scenario of a steam generator tube rupture accident in a lead-cooled fast reactor,secondary circuit subcooled water under high pressure is injected into an ordinary-pressure primary vessel,where a molten lead-b...In the scenario of a steam generator tube rupture accident in a lead-cooled fast reactor,secondary circuit subcooled water under high pressure is injected into an ordinary-pressure primary vessel,where a molten lead-based alloy(typically pure lead or lead-bismuth eutectic(LBE))is used as the coolant.To clarify the pressure build-up characteristics under water-jet injection,this study conducted several experiments by injecting pressurized water into a molten LBE pool at Sun Yat-sen University.To obtain a further understanding,several new experimental parameters were adopted,including the melt temperature,water subcooling,injection pressure,injection duration,and nozzle diameter.Through detailed analyses,it was found that the pressure and temperature during the water-melt interaction exhibited a consistent variation trend with our previous water-droplet injection mode LBE experiment.Similarly,the existence of a steam explosion was confirmed,which typically results in a much stronger pressure build-up.For the non-explosion cases,increasing the injection pressure,melt-pool temperature,nozzle diameter,and water subcooling promoted pressure build-up in the melt pool.However,a limited enhancement effect was observed when increasing the injection duration,which may be owing to the continually rising pressure in the interaction vessel or the isolation effect of the generated steam cavity.Regardless of whether a steam explosion occurred,the calculated mechanical and kinetic energy conversion efficiencies of the melt were relatively small(not exceeding 4.1%and 0.7%,respectively).Moreover,the range of the conversion efficiency was similar to that of previous water-droplet experiments,although the upper limit of the jet mode was slightly lower.展开更多
文摘In this study, aqueous extraction method is used because of its high extraction ratio, light fastness and also functional properties. In 1st phase, for dyeing S/J cotton knit fabric with green walnut power ferrous sulfate is considered as a mordant. In this study, three different mordanting methods such as pre-, meta-, and post-mordanting are conveyed the dyeing process with the state of metallic mordant and without metallic salt mordants. In 2nd phase, in dyeing for fixation ferrous sulfate was considered as mordants. Furthermore, the analysis and evaluation of each colour dyed material was done through following two terms for instance CIELAB (L*, a*, and b*) and K/S values. According to AATCC test methods, colour fastness to washing, crocking, perspiration of the dyed samples is determined whereas according to the ISO standard, the colour fastness to light was estimated and tested. When dyeing was carried out on S/J cotton knit fabric through considering optimum parameter like at 80°C for 60 min and at pH 4 which showed optimum results. From the results we can see, very good wash fastness was obtained while there is no fading of the colour, whereas the outstanding and moderate level of colour fastness to light and crocking is achieved.
文摘Polyurethane modified organic silicone was successfully prepared from hydroxyl-terminated polyether modified silicone,toluene-2,4-diisocyanate( TDI), and NaHSO3. The chemical structure of the polyurethane modified organic silicone was characterized by FT-IR and1H-NMR. The polymer film on the cotton surface was investigated by scanning electron microscopy( SEM) and the results showed that a thin polymer film was successfully formed. The FT-IR of treated cotton fabrics indicated that hydroxyl( OH) of cellulose fiber and isocyanate group( NCO)of the polyurethane modified organic silicone has formed covalent cross-linking. X-ray diffraction( XRD) analysis revealed that the crystalline region of treated cotton fabrics wasn't changed. The wet rubbing fastness of treated cotton fabrics was increased by approximately rating 1 on average. There was little change of DE values for the polyurethane modified organic silicone. The softness was improved significantly.
文摘Green thinking looks to develop alternatives with higher environmental advantage that traditional materials or processes. The present experimental studies are directed to investigation of dyeing the linen fabric prepared with modification with enzymes. In the research, 1% and 2% solution of cellulase enzyme Beizym ENC-SB (garment auxiliary of enzymes mixture of CHT R. BEITLICH GmbH/BEZEMA AG) and pectinase Beisol PRO (enzymes mixture for cleaning cellulose fibers of CHT R. BE1TLICH GmbH) enzyme solutions were used. The main objective of this work is focus on results studies of enzyme influence on dyeing of flax fabric with direct Solphenyl dye triade Blue FGLE (economical, fairly good light fast blue, main trichromatic component for medium shades with high wash fastness), Scarlet BNLE (economical scarlet, main trichromatic component for medium to dark shades) 200%, and Yellow GLE (very bright neutral yellow, main trichromatic component for high wash fastness requirements). The dye-bath exhaustion, color fastness to rubbing and washing were estimated. The color parameters before and after tests were calculated.
文摘The paper reports the consideration for fastness and homogeneous character of coating film on large telescope. After coating film, we obtain that the optical homogeneous character of whole mirror is in 1/20 λ, and reflective rate is about 92%. We found that the thin film doesn’t tick to offset paper, and the film is still well after two years.
文摘To address the challenges in detecting abrasion-resistant color fastness samples–including limited sample instances,non-uniform shapes,and insufficiently distinct texture variations that compromise localization accuracy–this paper optimizes the detection framework through the integration of three key strategies:Global Attention Mechanism(GAM),Dynamic Sampling(DySample),and Adaptively Spatial Feature Fusion(ASFF),thereby enhancing detection accuracy and efficiency.Initially,Mosaic data augmentation is implemented to enrich dataset diversity and improve model robustness.Subsequently,the GAM attention mechanism is embedded into the backbone network to enhance target feature extraction capabilities.DySample replaces conventional upsampling methods in the neck network to achieve more effective feature reconstruction.Finally,the ASFF module is integrated into the Detect module within the head network to enable adaptively spatial weight learning for multi-scale feature map fusion.Compared with baseline algorithms,the improved framework demonstrates performance gains of 1.2%in Precision,3.0%in Recall,1.2%in mAP@0.5,and 13.5%in mAP@0.5:0.95.Experimental results validate the effectiveness of the proposed method,which maintains satisfactory performance across additional datasets,demonstrating strong robustness and superior generalization capability.
基金supported by the Ministry of Science and Technology of China,No.2020AAA0109605(to XL)Meizhou Major Scientific and Technological Innovation PlatformsProjects of Guangdong Provincial Science & Technology Plan Projects,No.2019A0102005(to HW).
文摘Early identification and treatment of stroke can greatly improve patient outcomes and quality of life.Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are commonly used for stroke screening,accurate administration is dependent on specialized training.In this study,we proposed a novel multimodal deep learning approach,based on the FAST,for assessing suspected stroke patients exhibiting symptoms such as limb weakness,facial paresis,and speech disorders in acute settings.We collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements,facial expressions,and speech tests based on the FAST.We compared the constructed deep learning model,which was designed to process multi-modal datasets,with six prior models that achieved good action classification performance,including the I3D,SlowFast,X3D,TPN,TimeSformer,and MViT.We found that the findings of our deep learning model had a higher clinical value compared with the other approaches.Moreover,the multi-modal model outperformed its single-module variants,highlighting the benefit of utilizing multiple types of patient data,such as action videos and speech audio.These results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke,thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.
基金supported by the R&D project of Pazhou Lab(Huangpu)under Grant 2023K0610the National Natural Science Foundation of China(Grants 12126602)+4 种基金the National Natural Science Foundation of China(Grants 82030102)the Shenzhen Medical Research Fund(Grants C2302001)the Shenzhen Science and Technology Innovation Committee(No.ZDSYS20200810171403013)the Chinese Postdoctoral Science Foundation(No.2022M721463)the Ministry of Science and Technology of China(Grants 2022YFC3702703).
文摘Objective This study aimed to investigate the impact of glycemic control and diabetes duration on subsequent myocardial infarction(MI)in patients with both coronary heart disease(CHD)and type 2 diabetes(T2D).Methods We conducted a retrospective cohort study of 33,238 patients with both CHD and T2D in Shenzhen,China.Patients were categorized into 6 groups based on baseline fasting plasma glucose(FPG)levels and diabetes duration(from the date of diabetes diagnosis to the baseline date)to examine their combined effects on subsequent MI.Cox proportional hazards regression models were used,with further stratification by age,sex,and comorbidities to assess potential interactions.Results Over a median follow-up of 2.4 years,2,110 patients experienced MI.Compared to those with optimal glycemic control(FPG<6.1 mmol/L)and shorter diabetes duration(<10 years),the fullyadjusted hazard ratio(HR)(95%Confidence Interval[95%CI])for those with a diabetes duration of≥10 years and FPG>8.0 mmol/L was 1.93(95%CI:1.59,2.36).The combined effects of FPG and diabetes duration on MI were largely similar across different age,sex,and comorbidity groups,although the excess risk of MI associated with long-term diabetes appeared to be more pronounced among those with atrial fibrillation.Conclusion Our study indicates that glycemic control and diabetes duration significant influence the subsequent occurrence of MI in patients with both CHD and T2D.Tailored management strategies emphasizing strict glycemic control may be particularly beneficial for patients with longer diabetes duration and atrial fibrillation.
文摘With the advancement of astronomical observation technology,people have a deeper understanding of the formation and evolution of galaxies,but many details of our own Milky Way and other external galaxies are still unknown.Therefore,by studying the formation and orbital transformation mechanism of satellites,planets and stars,the author puts forward a new theory on the formation and evolution of stars and galaxies,thus revealing the hierarchical structure of galaxies and the formation and evolution laws of main sequence stars,red giants,white dwarfs,black dwarfs,supernovae,neutron stars,black holes and quasars.Some special phenomena in the course of star formation and evolution,such as sunspots,flares,fast radio bursts and gamma-ray bursts,have also been revealed.
基金supported by the Key Research and Development Program of the Ministry of Science and Technology of China(grant number:2016YF0900605)the Key Research and Development Program of Hebei Province(grant number:192777129D)+1 种基金the Joint Fund for Iron and Steel of the Natural Science Foundation of Hebei Province(grant number:H2016209058)the National Natural Science Foundation for Regional Joint Fund of China(grant number:U22A20364)。
文摘Objective We aimed to investigate the patterns of fasting blood glucose(FBG)trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers.Methods The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort(TGOC)between 2017 and 2022.A group-based trajectory model was used to identify the FBG trajectories.Environmental risk scores(ERS)were constructed using regression coefficients from the occupational hazard model as weights.Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories.Results FBG trajectories were categorized into three groups.An association was observed between high temperature,noise exposure,and FBG trajectory(P<0.05).Using the first quartile group of ERS1 as a reference,the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90and 2.21 times,respectively(odds ratio[OR]=1.90,95%confidence interval[CI]:1.17–3.10;OR=2.21,95%CI:1.09–4.45).Conclusion An association was observed between occupational hazards based on ERS and FBG trajectories.The risk of FBG trajectory levels increase with an increase in ERS.
基金supported by Basic and Applied Basic research foundation of Guangdong province(Nos.2021A1515010343 and 2022A1515011582)the Science and Technology Program of Guangdong Province(Nos.2021A0505030026 and 2022A0505050029).
文摘In the scenario of a steam generator tube rupture accident in a lead-cooled fast reactor,secondary circuit subcooled water under high pressure is injected into an ordinary-pressure primary vessel,where a molten lead-based alloy(typically pure lead or lead-bismuth eutectic(LBE))is used as the coolant.To clarify the pressure build-up characteristics under water-jet injection,this study conducted several experiments by injecting pressurized water into a molten LBE pool at Sun Yat-sen University.To obtain a further understanding,several new experimental parameters were adopted,including the melt temperature,water subcooling,injection pressure,injection duration,and nozzle diameter.Through detailed analyses,it was found that the pressure and temperature during the water-melt interaction exhibited a consistent variation trend with our previous water-droplet injection mode LBE experiment.Similarly,the existence of a steam explosion was confirmed,which typically results in a much stronger pressure build-up.For the non-explosion cases,increasing the injection pressure,melt-pool temperature,nozzle diameter,and water subcooling promoted pressure build-up in the melt pool.However,a limited enhancement effect was observed when increasing the injection duration,which may be owing to the continually rising pressure in the interaction vessel or the isolation effect of the generated steam cavity.Regardless of whether a steam explosion occurred,the calculated mechanical and kinetic energy conversion efficiencies of the melt were relatively small(not exceeding 4.1%and 0.7%,respectively).Moreover,the range of the conversion efficiency was similar to that of previous water-droplet experiments,although the upper limit of the jet mode was slightly lower.