To investigate the effect of different dietary energy and protein levels on meat performance and meat quality of Jinghai yellow chickens, 480 43-day old Jinghai yellow chickens with similar weight were randomly divide...To investigate the effect of different dietary energy and protein levels on meat performance and meat quality of Jinghai yellow chickens, 480 43-day old Jinghai yellow chickens with similar weight were randomly divided into four experimental groups: experimental group 1 (protein 15%, metabolic energy 9.95 MJ/kg), experimental group 2 (protein 16%, metabolic energy 10.95 MJ/kg), experimental group 3 (protein 17%, metabolic energy 12.65 MJ/kg) and experimental group 4 ( protein 18%, metabolic energy 13.95 MJ/kg), respectively. All chickens were slaughtered at 112-day old. The breast and leg muscles of Jinghai yellow chickens were collected, to determine the slaughter performance, conventional meat quality and muscle chemical indicators. The results indicated that dressing-out percentage and eviscerated yield percentage in four experimental groups were above 87.27% and 67.00%, respectively; other slaughter performance indicators exhibited no significant differences among various groups (P 〉 0.05 ) ; breast muscle color of hens in experimental group 4 varied significantly from that in other three groups ( P 〈 0.05 ) ; leg muscle color of hens in experimental group 2 varied extremely significantly from that in other three groups ( P 〈 0.01 ) ; water-holding capacity of breast muscles of hens in experimental group 3 was significantly higher than that in experimental group 4 (P 〈 0.05 ) ; thiamine content of breast muscles of cocks in experimental group 3 was significandy higher than that in experimental group 2 ( P 〈 0.05 ) ; however, other properties exhibited no significant differenees among various groups (P 〉 0.05 ).展开更多
In order to effectively solve the problem of copyright protection of materials genome engineering data,this paper proposes a method for copyright protection of materials genome engineering data based on zero-watermark...In order to effectively solve the problem of copyright protection of materials genome engineering data,this paper proposes a method for copyright protection of materials genome engineering data based on zero-watermarking technology.First,the important attribute values are selected from the materials genome engineering database;then,use the method of remainder to group the selected attribute values and extract eigenvalues;then,the eigenvalues sequence is obtained by the majority election method;finally,XOR the sequence with the actual copyright information to obtain the watermarking information and store it in the third-party authentication center.When a copyright dispute requires copyright authentication for the database to be detected.First,the zero-watermarking construction algorithm is used to obtain an eigenvalues sequence;then,this sequence is XORed with the watermarking information stored in the third-party authentication center to obtain copyright information to-be-detected.Finally,the ownership is determined by calculating the similarity between copyright information to-be-detected and copyright information that has practical significance.The experimental result shows that the zero-watermarking method proposed in this paper can effectively resist various common attacks,and can well achieve the copyright protection of material genome engineering database.展开更多
Fracture toughness plays a vital role in damage tolerance design of materials and assessment of structural integrity.To solve these problems of com-plexity,time-consuming,and low accuracy in obtaining the fracture tou...Fracture toughness plays a vital role in damage tolerance design of materials and assessment of structural integrity.To solve these problems of com-plexity,time-consuming,and low accuracy in obtaining the fracture toughness value of nickel-based superalloys through experiments.A combination prediction model is proposed based on the principle of materials genome engineering,the fracture toughness values of nickel-based superalloys at different temperatures,and different compositions can be predicted based on the existing experimental data.First,to solve the problem of insufficient feature extraction based on manual experience,the Deep Belief Network(DBN)is used to extract features,and an attention mechanism module is introduced.To achieve the purpose of strengthen-ing the important features,an attention weight is assigned to each feature accord-ing to the importance of the feature.Then,the feature vectors obtained by the DBN module based on the Attention mechanism(A-DBN)are spliced with the original features.Thus,the prediction accuracy of the model is improved by extracting high-order combined features and low-order linear features between input and output data.Finally,the spliced feature vectors are put into the Support Vector Regression(SVR)model to further improve the regression prediction abil-ity of the model.The results of the contrast experiment show that the model can effectively improve the prediction accuracy of the fracture toughness value of nickel-based superalloys.展开更多
The larger the difference between the willingness scale of tobacco family farmers and the optimal scale of efficiency,the greater the degree of irrationality,and the higher the decision making risk.With the aid of DEA...The larger the difference between the willingness scale of tobacco family farmers and the optimal scale of efficiency,the greater the degree of irrationality,and the higher the decision making risk.With the aid of DEA model,this study calculated the optimal scale of efficiency of Guiyang tobacco family farms.Using the ratio of willingness scale and efficiency optimal scale,it measured the degree of irrationality of family farmers.In addition,with the help of multiple linear regression model,it explained the irrational decision making mechanism of family farmers.Finally,it made a portrait of farmers who tend to make irrational decisions,to find specific farmers and guide them in their production and operation,reduce the risk of planting scale decision making and stabilize the sustainable development of the tobacco industry.展开更多
Worldwide,the incidence of major depressive disorder(MDD)is increasing annually,resulting in greater economic and social burdens.Moreover,the pathological mechanisms of MDD and the mechanisms underlying the effects of...Worldwide,the incidence of major depressive disorder(MDD)is increasing annually,resulting in greater economic and social burdens.Moreover,the pathological mechanisms of MDD and the mechanisms underlying the effects of pharmacological treatments for MDD are complex and unclear,and additional diagnostic and therapeutic strategies for MDD still are needed.The currently widely accepted theories of MDD pathogenesis include the neurotransmitter and receptor hypothesis,hypothalamicpituitary-adrenal(HPA)axis hypothesis,cytokine hypothesis,neuroplasticity hypothesis and systemic influence hypothesis,but these hypothesis cannot completely explain the pathological mechanism of MDD.Even it is still hard to adopt only one hypothesis to completely reveal the pathogenesis of MDD,thus in recent years,great progress has been made in elucidating the roles of multiple organ interactions in the pathogenesis MDD and identifying novel therapeutic approaches and multitarget modulatory strategies,further revealing the disease features of MDD.Furthermore,some newly discovered potential pharmacological targets and newly studied antidepressants have attracted widespread attention,some reagents have even been approved for clinical treatment and some novel therapeutic methods such as phototherapy and acupuncture have been discovered to have effective improvement for the depressive symptoms.In this work,we comprehensively summarize the latest research on the pathogenesis and diagnosis of MDD,preventive approaches and therapeutic medicines,as well as the related clinical trials.展开更多
In this study, iron speciation in five standard clay samples was characterized. Iron mobilization from these clays was then measured in acidic media. For comparison, a commercially available Arizona test dust (ATD) ...In this study, iron speciation in five standard clay samples was characterized. Iron mobilization from these clays was then measured in acidic media. For comparison, a commercially available Arizona test dust (ATD) was also observed. The results showed that the free-Fe contents of clays were commonly lower than that of dust aerosols. The components of clays were dominant by the structural Fe held in the aluminosilicate lattice. The iron solubility of the clays were in the order of KGa-2 〉 SWy-2 〉 CCa-2 〉 IMt-2 〉 NAu- 2. Based upon the M6ssbauer spectrum and transmission electron microscopy (TEM) analysis, the Fe(Ⅱ) fraction and the Fe/Si ratio of clay particles changed after dissolution, suggesting the total Fe solubility depended on the Fe atom states existing within the aluminosilicate lattice. The Fe in KGa-2 and SWy-2 was most likely substituted for alkaline elements as the interlayer ions held by ionic bonds in the aluminosilicate, which are more liable to dissolution. However, the Fe in NAu-2 was more likely to be bound by strong covalent bonds in aluminosilicate mineral, which is less soluble. The much highly soluble Fe in ATD was not only linked to the dissolution of an appreciable fraction of Fe(Ⅱ), but also could be attributed to the fact that the Fe bonds in the clay fraction of ATD were mainly present as ionic bonds. The TEM images showed that reacted clay particles displayed less aggregate particles, with nanoparticle aggregates and the Fe/S-rich tiny particles attached to the remains.展开更多
Atmospheric pollutants including SO_2, NO_2, CO, O_3 and inhalable particulate matter(PM2.5 and PM10) were monitored continuously from March 2014 to February 2015 to investigate characteristics of air pollution at L...Atmospheric pollutants including SO_2, NO_2, CO, O_3 and inhalable particulate matter(PM2.5 and PM10) were monitored continuously from March 2014 to February 2015 to investigate characteristics of air pollution at Lhasa, Tibetan Plateau. Species exhibited similar seasonal variations except O_3, with the peaks in winter but low valleys in summer. The maximum O_3 concentration was observed in spring, followed by summer, autumn, and winter. The positive correlation between O_3 and PM10 in spring indicated similar sources of them, and was assumed to be turbulent transport. Temperature was the dominant meteorological factor for most species in spring. High temperature accelerates O_3 photochemistry, and favors air disturbance which is conductive to dust resuspension in spring. Relative humidity(RH) and atmospheric pressure were the main meteorological factors in summer. RH showed negative correlations with species, while atmospheric pressure posed opposite situation. Wind speed(WS) was the dominant meteorological factor in autumn, the negative correlations between WS and species indicated diffusion by wind. Most species showed non-significant correlations with meteorological factors in winter, indicating the dependence of pollution on source emission rather than restriction by meteorology. Pollution weather character indicated that emissions were from biomass burning and dust suspension, and meteorological factors also played an important role. Air stream injection from the stratosphere was observed during O_3 pollution period. Air parcels from Southwest Asia were observed during air pollution period in winter. An enhancement in air pollutants such as O_3 would be expected in the future, more attention should be given to countermeasures for prevention of air pollution in the future.展开更多
基金Supported by Special Fund for National Broiler Industry Technology System ofChina(CARS-42-G23)Project of Priority Academic Program Development ofJiangsu Higher Education Institutionsthe New Century Talent Project of Yangzhou University
文摘To investigate the effect of different dietary energy and protein levels on meat performance and meat quality of Jinghai yellow chickens, 480 43-day old Jinghai yellow chickens with similar weight were randomly divided into four experimental groups: experimental group 1 (protein 15%, metabolic energy 9.95 MJ/kg), experimental group 2 (protein 16%, metabolic energy 10.95 MJ/kg), experimental group 3 (protein 17%, metabolic energy 12.65 MJ/kg) and experimental group 4 ( protein 18%, metabolic energy 13.95 MJ/kg), respectively. All chickens were slaughtered at 112-day old. The breast and leg muscles of Jinghai yellow chickens were collected, to determine the slaughter performance, conventional meat quality and muscle chemical indicators. The results indicated that dressing-out percentage and eviscerated yield percentage in four experimental groups were above 87.27% and 67.00%, respectively; other slaughter performance indicators exhibited no significant differences among various groups (P 〉 0.05 ) ; breast muscle color of hens in experimental group 4 varied significantly from that in other three groups ( P 〈 0.05 ) ; leg muscle color of hens in experimental group 2 varied extremely significantly from that in other three groups ( P 〈 0.01 ) ; water-holding capacity of breast muscles of hens in experimental group 3 was significantly higher than that in experimental group 4 (P 〈 0.05 ) ; thiamine content of breast muscles of cocks in experimental group 3 was significandy higher than that in experimental group 2 ( P 〈 0.05 ) ; however, other properties exhibited no significant differenees among various groups (P 〉 0.05 ).
基金This work is supported by Foundation of Beijing Key Laboratory of Internet Culture and Digital Dissemination Research No.ICDDXN004Foundation of Beijing Advanced Innovation Center for Materials Genome Engineering.
文摘In order to effectively solve the problem of copyright protection of materials genome engineering data,this paper proposes a method for copyright protection of materials genome engineering data based on zero-watermarking technology.First,the important attribute values are selected from the materials genome engineering database;then,use the method of remainder to group the selected attribute values and extract eigenvalues;then,the eigenvalues sequence is obtained by the majority election method;finally,XOR the sequence with the actual copyright information to obtain the watermarking information and store it in the third-party authentication center.When a copyright dispute requires copyright authentication for the database to be detected.First,the zero-watermarking construction algorithm is used to obtain an eigenvalues sequence;then,this sequence is XORed with the watermarking information stored in the third-party authentication center to obtain copyright information to-be-detected.Finally,the ownership is determined by calculating the similarity between copyright information to-be-detected and copyright information that has practical significance.The experimental result shows that the zero-watermarking method proposed in this paper can effectively resist various common attacks,and can well achieve the copyright protection of material genome engineering database.
基金supported by Beijing Advanced Innovation Center for Materials Genome Engineering,Beijing Information Science and Technology University,Beijing Key Laboratory of Internet Culture and Digital Dissemination Research(No.ICDDXN004).
文摘Fracture toughness plays a vital role in damage tolerance design of materials and assessment of structural integrity.To solve these problems of com-plexity,time-consuming,and low accuracy in obtaining the fracture toughness value of nickel-based superalloys through experiments.A combination prediction model is proposed based on the principle of materials genome engineering,the fracture toughness values of nickel-based superalloys at different temperatures,and different compositions can be predicted based on the existing experimental data.First,to solve the problem of insufficient feature extraction based on manual experience,the Deep Belief Network(DBN)is used to extract features,and an attention mechanism module is introduced.To achieve the purpose of strengthen-ing the important features,an attention weight is assigned to each feature accord-ing to the importance of the feature.Then,the feature vectors obtained by the DBN module based on the Attention mechanism(A-DBN)are spliced with the original features.Thus,the prediction accuracy of the model is improved by extracting high-order combined features and low-order linear features between input and output data.Finally,the spliced feature vectors are put into the Support Vector Regression(SVR)model to further improve the regression prediction abil-ity of the model.The results of the contrast experiment show that the model can effectively improve the prediction accuracy of the fracture toughness value of nickel-based superalloys.
基金Supported by Science and Technology Project of Guiyang Company of Guizhou Provincial Tobacco Company"Study on Cultivation of New Type Tobacco Operation Entities in Guiyang Tobacco Area"(2022-06)Students’Platform for Innovation and Entrepreneurship Training Program of Colleges and Universities in Henan Province"Study on Cultivation of New Professional Tobacco Farmers with Family Farms as the Carrier"(202210466045)。
文摘The larger the difference between the willingness scale of tobacco family farmers and the optimal scale of efficiency,the greater the degree of irrationality,and the higher the decision making risk.With the aid of DEA model,this study calculated the optimal scale of efficiency of Guiyang tobacco family farms.Using the ratio of willingness scale and efficiency optimal scale,it measured the degree of irrationality of family farmers.In addition,with the help of multiple linear regression model,it explained the irrational decision making mechanism of family farmers.Finally,it made a portrait of farmers who tend to make irrational decisions,to find specific farmers and guide them in their production and operation,reduce the risk of planting scale decision making and stabilize the sustainable development of the tobacco industry.
基金supported by the National Natural Science Foundation of China,MX[grant number 32271038]and BL[grant number 81871852]Shenyang Science and Technology Innovation Talents Project,BL[grant number RC210251]+2 种基金‘ChunHui’Program of Education Ministry,BL[grant number 2020703]National Natural Science Foundation of China-Russian Science Foundation(NSFC-RSF),YT[grant number 82261138557]Sichuan Provincial Administration of Traditional Chinese Medicine,YT[grant number 2023zd024].
文摘Worldwide,the incidence of major depressive disorder(MDD)is increasing annually,resulting in greater economic and social burdens.Moreover,the pathological mechanisms of MDD and the mechanisms underlying the effects of pharmacological treatments for MDD are complex and unclear,and additional diagnostic and therapeutic strategies for MDD still are needed.The currently widely accepted theories of MDD pathogenesis include the neurotransmitter and receptor hypothesis,hypothalamicpituitary-adrenal(HPA)axis hypothesis,cytokine hypothesis,neuroplasticity hypothesis and systemic influence hypothesis,but these hypothesis cannot completely explain the pathological mechanism of MDD.Even it is still hard to adopt only one hypothesis to completely reveal the pathogenesis of MDD,thus in recent years,great progress has been made in elucidating the roles of multiple organ interactions in the pathogenesis MDD and identifying novel therapeutic approaches and multitarget modulatory strategies,further revealing the disease features of MDD.Furthermore,some newly discovered potential pharmacological targets and newly studied antidepressants have attracted widespread attention,some reagents have even been approved for clinical treatment and some novel therapeutic methods such as phototherapy and acupuncture have been discovered to have effective improvement for the depressive symptoms.In this work,we comprehensively summarize the latest research on the pathogenesis and diagnosis of MDD,preventive approaches and therapeutic medicines,as well as the related clinical trials.
基金provided by Ministry of Science and Technology of the People's Republic of China(2016YFC0202700)Ministry of Science and Technology of the People's Republic of China(2016YFE0112200)+3 种基金Ministry of Science and Technology of the People's Republic of China(2016YFC0203700)National Natural Science Foundation of China(Nos.21577022,21190053,and 40975074)International Cooperation Project of Shanghai Municipal Government(15520711200)Marie Sk?odowska-Curie Actions(690958-MARSU-RISE-2015)
文摘In this study, iron speciation in five standard clay samples was characterized. Iron mobilization from these clays was then measured in acidic media. For comparison, a commercially available Arizona test dust (ATD) was also observed. The results showed that the free-Fe contents of clays were commonly lower than that of dust aerosols. The components of clays were dominant by the structural Fe held in the aluminosilicate lattice. The iron solubility of the clays were in the order of KGa-2 〉 SWy-2 〉 CCa-2 〉 IMt-2 〉 NAu- 2. Based upon the M6ssbauer spectrum and transmission electron microscopy (TEM) analysis, the Fe(Ⅱ) fraction and the Fe/Si ratio of clay particles changed after dissolution, suggesting the total Fe solubility depended on the Fe atom states existing within the aluminosilicate lattice. The Fe in KGa-2 and SWy-2 was most likely substituted for alkaline elements as the interlayer ions held by ionic bonds in the aluminosilicate, which are more liable to dissolution. However, the Fe in NAu-2 was more likely to be bound by strong covalent bonds in aluminosilicate mineral, which is less soluble. The much highly soluble Fe in ATD was not only linked to the dissolution of an appreciable fraction of Fe(Ⅱ), but also could be attributed to the fact that the Fe bonds in the clay fraction of ATD were mainly present as ionic bonds. The TEM images showed that reacted clay particles displayed less aggregate particles, with nanoparticle aggregates and the Fe/S-rich tiny particles attached to the remains.
基金supported by the National Natural Science Foundation of China(Nos.21577022,21190053,40975074)Ministry of Science and Technology of China(2016YFC0203700)
文摘Atmospheric pollutants including SO_2, NO_2, CO, O_3 and inhalable particulate matter(PM2.5 and PM10) were monitored continuously from March 2014 to February 2015 to investigate characteristics of air pollution at Lhasa, Tibetan Plateau. Species exhibited similar seasonal variations except O_3, with the peaks in winter but low valleys in summer. The maximum O_3 concentration was observed in spring, followed by summer, autumn, and winter. The positive correlation between O_3 and PM10 in spring indicated similar sources of them, and was assumed to be turbulent transport. Temperature was the dominant meteorological factor for most species in spring. High temperature accelerates O_3 photochemistry, and favors air disturbance which is conductive to dust resuspension in spring. Relative humidity(RH) and atmospheric pressure were the main meteorological factors in summer. RH showed negative correlations with species, while atmospheric pressure posed opposite situation. Wind speed(WS) was the dominant meteorological factor in autumn, the negative correlations between WS and species indicated diffusion by wind. Most species showed non-significant correlations with meteorological factors in winter, indicating the dependence of pollution on source emission rather than restriction by meteorology. Pollution weather character indicated that emissions were from biomass burning and dust suspension, and meteorological factors also played an important role. Air stream injection from the stratosphere was observed during O_3 pollution period. Air parcels from Southwest Asia were observed during air pollution period in winter. An enhancement in air pollutants such as O_3 would be expected in the future, more attention should be given to countermeasures for prevention of air pollution in the future.