Transfer learning could reduce the time and resources required by the training of new models and be therefore important for generalized applications of the trainedmachine learning algorithms.In this study,a transfer l...Transfer learning could reduce the time and resources required by the training of new models and be therefore important for generalized applications of the trainedmachine learning algorithms.In this study,a transfer learningenhanced convolutional neural network(CNN)was proposed to identify the gross weight and the axle weight of moving vehicles on the bridge.The proposed transfer learning-enhanced CNN model was expected to weigh different bridges based on a small amount of training datasets and provide high identification accuracy.First of all,a CNN algorithm for bridge weigh-in-motion(B-WIM)technology was proposed to identify the axle weight and the gross weight of the typical two-axle,three-axle,and five-axle vehicles as they crossed the bridge with different loading routes and speeds.Then,the pre-trained CNN model was transferred by fine-tuning to weigh themoving vehicle on another bridge.Finally,the identification accuracy and the amount of training data required were compared between the two CNN models.Results showed that the pre-trained CNN model using transfer learning for B-WIM technology could be successfully used for the identification of the axle weight and the gross weight for moving vehicles on another bridge while reducing the training data by 63%.Moreover,the recognition accuracy of the pre-trained CNN model using transfer learning was comparable to that of the original model,showing its promising potentials in the actual applications.展开更多
Mitochondria and mitochondria-associated endoplasmic reticulum membrane in neurodegenerative diseases:Mitochondria generate most of the chemical energy needed to power the biochemical reactions of cells,and thus are o...Mitochondria and mitochondria-associated endoplasmic reticulum membrane in neurodegenerative diseases:Mitochondria generate most of the chemical energy needed to power the biochemical reactions of cells,and thus are often referred to as the"powerhouse"of the cell.Nevertheless,this organelle is also involved in a pleth,ora of different cellular functions such as calcium(Ca^(2+))homeostasis,apoptosis,oxidative stress,and several metabolic pathways including oxidative phosphorylation,tricarboxylic acid cycle,andβ-oxidation of fatty acids.展开更多
In Burkina Faso, one of the three largest gold producers in West Africa, foundry activity is often paralyzed when basic equipment such as crucibles and cups are not available or should be imported. However, previous s...In Burkina Faso, one of the three largest gold producers in West Africa, foundry activity is often paralyzed when basic equipment such as crucibles and cups are not available or should be imported. However, previous studies have shown the availability of kaolinite-rich clay resources that could be used for the local manufacture of silico-aluminous ceramic crucibles. This work allowed to manufacture industrial ceramic crucibles with local clays and then they were tested in foundry industry. The materials were manufactured from three (03) raw materials including two clays (SAB and ROU) and sand. The chemical and mineral analysis has shown that the raw materials are suitable for the formulation of refractory materials. The results of characterization of the materials formulated showed that the properties of use are appreciable. The porosity of the materials is relatively low (23 - 28 vol%) with a diametral compressive strength between 0.61 and 1.34 MPa. Crucibles sintered at 1250˚C with a stay of 2 hours have a mechanical strength capable of supporting the weight of the ores contained. These crucibles have a refractoriness under load (T0.5) above 1141˚C and resist chemical attacks. Tests were carried out in the industry at 1100˚C, and the results were satisfactory.展开更多
Using the improved prospect theory with the linear transformations of rewarding good and punishing bad(RGPBIT),a new investment ranking model for power grid construction projects(PGCPs)is proposed.Given the uncertaint...Using the improved prospect theory with the linear transformations of rewarding good and punishing bad(RGPBIT),a new investment ranking model for power grid construction projects(PGCPs)is proposed.Given the uncertainty of each index value under the market environment,fuzzy numbers are used to describe qualitative indicators and interval numbers are used to describe quantitative ones.Taking into account decision-maker’s subjective risk attitudes,a multi-criteria decision-making(MCDM)method based on improved prospect theory is proposed.First,the[−1,1]RGPBIT operator is proposed to normalize the original data,to obtain the best andworst schemes of PGCPs.Furthermore,the correlation coefficients between interval/fuzzy numbers and the best/worst schemes are defined and introduced to the prospect theory to improve its value function and loss function,and the positive and negative prospect value matrices of the project are obtained.Then,the optimization model with the maximum comprehensive prospect value is constructed,the optimal attribute weight is determined,and the PGCPs are ranked accordingly.Taking four PGCPs of the IEEERTS-79 node system as examples,an illustration of the feasibility and effectiveness of the proposed method is provided.展开更多
Objective:To isolate and characterize antidiabetic component（bioactivity-guided fractionation） from hydro alcoholic extract of Ocimum sanctum（O.sanctum） aerial part.Methods:Ten fractions（F1 - F10） were isolated ...Objective:To isolate and characterize antidiabetic component（bioactivity-guided fractionation） from hydro alcoholic extract of Ocimum sanctum（O.sanctum） aerial part.Methods:Ten fractions（F1 - F10） were isolated from hydro alcoholic extract of O.sanctum aerial part by column chromatography.All the fractions Fl to F10 were screened for antidiabetic activity in alloxan induced diabetic rats by estimating serum glucose level and lipid parameters.The isolated bioactive component was elucidated on the basis of extensive spectroscopic(UV,IR,MS,<sup>1</sup>H and <sup>13</sup>C NMR) data analysis.Results:The bioactive fraction（F5） was found to be potent antidiabetic by ameliorating glucose and lipid parameters（total cholesterol,triglycerides,low and high density lipoprotein cholesterol）.The extensive spectroscopic data analysis reveals that,the isolated bioactive compound elucidated as tetracyclic triterpenoid[16-Hydroxy-4,4,10,13-tetramethyl- 17-（4-methyI-pentyl）-hexadecahydro-cyclopenta[a]phenanthren-3-one].Conclusions:Our present study concluded that,tetracyclic triterpenoid isolated from aerial part of O.sanctum has a great anti-diabetic potential.展开更多
Objective:To evaluate antidiabetic activity of chloroform extracts of Acacia arabica bark, Benincasa hispida fruit,Tinispora cordifolia stem,Ocimum sanctum areal parts and Jatropha curcus leaves.Methods:The chloroform...Objective:To evaluate antidiabetic activity of chloroform extracts of Acacia arabica bark, Benincasa hispida fruit,Tinispora cordifolia stem,Ocimum sanctum areal parts and Jatropha curcus leaves.Methods:The chloroform extracts of Acacia arabica bark,Benincasa hispida fruit,Tinospora cordifolia stem,aerial part of Ocimum sanctum and Jatropha curcus leaves were evaluated at different doses(250 and 500 mg/kg body weight.) for antidiabetic potentials in alloxan induced diabetic albino rats.The extracts were administered for two weeks in different groups whereas tolbutamide(80 mg/kg body weight) was used as reference standard throughout study.Results:The result of present study showed test compounds significantly decreases elevated level of serum glucose and also caused to reverse the cholesterol,triglyceride,HDL and LDL values when compared to untreated diabetic rats.Conclusions:Our finding indicates that different test extracts were able to ameliorate the derangements in lipid metabolism caused by diabetes mellitus in alloxan induced diabetic rats towards normal level.展开更多
This paper presents new experimental results concerning the PeTa effect—infrared characteristic radiation under first order phase transitions, especially during deposition and condensation of vapours/gases and the cr...This paper presents new experimental results concerning the PeTa effect—infrared characteristic radiation under first order phase transitions, especially during deposition and condensation of vapours/gases and the crystallisation of melts. The abbreviation “PeTa effect” means Perel’man-Tatartchenko’s effect. The nature of the PeTa effect is transient radiation that a particle (i.e., atom, molecule or/and cluster) emits during a transition from a meta-stable higher energetic level (in a super-cooled melt or super-saturated vapour) to the stable condensed lower level (in a crystal or liquid). The radiation removes latent heat with photons of characteristic frequencies that are generated under this transition. This paper is the second in a set describing the appearance of PeTa radiation under air cooling with deposition and condensation of air components. The radiation was recorded using an IR Fourier Spectrometer with a highly sensitive MCT detector. Certain peculiarities of the recorded radiation as well as its applications in the physics of the atmospheres of Earth and Jupiter are analysed.展开更多
基金the financial support provided by the National Natural Science Foundation of China(Grant No.52208213)the Excellent Youth Foundation of Education Department in Hunan Province(Grant No.22B0141)+1 种基金the Xiaohe Sci-Tech Talents Special Funding under Hunan Provincial Sci-Tech Talents Sponsorship Program(2023TJ-X65)the Science Foundation of Xiangtan University(Grant No.21QDZ23).
文摘Transfer learning could reduce the time and resources required by the training of new models and be therefore important for generalized applications of the trainedmachine learning algorithms.In this study,a transfer learningenhanced convolutional neural network(CNN)was proposed to identify the gross weight and the axle weight of moving vehicles on the bridge.The proposed transfer learning-enhanced CNN model was expected to weigh different bridges based on a small amount of training datasets and provide high identification accuracy.First of all,a CNN algorithm for bridge weigh-in-motion(B-WIM)technology was proposed to identify the axle weight and the gross weight of the typical two-axle,three-axle,and five-axle vehicles as they crossed the bridge with different loading routes and speeds.Then,the pre-trained CNN model was transferred by fine-tuning to weigh themoving vehicle on another bridge.Finally,the identification accuracy and the amount of training data required were compared between the two CNN models.Results showed that the pre-trained CNN model using transfer learning for B-WIM technology could be successfully used for the identification of the axle weight and the gross weight for moving vehicles on another bridge while reducing the training data by 63%.Moreover,the recognition accuracy of the pre-trained CNN model using transfer learning was comparable to that of the original model,showing its promising potentials in the actual applications.
基金supported by LifeArc Philanthropic Fund(P2019-0004)LifeArc Pathfinder Award+7 种基金along with Wellcome Trust Seed Award(109626/Z/15/Z)FA PESP-UoB Strategic Collaboration FundBirmingham Fellowship(to SS)grants from Laboratoire d'Excellence Revive(Investissement d'AvenirANR-10-LABX-73)the Region lle-de-France via doctoral school Innovation Therapeutique,du Fondamentalàl'Appliqué(ED569)from Universite Paris-Saclay(to LA)Medical Research Council(MRC)Developmental Pathway Funding Scheme(DPFS)grant(MR/P007732/1)(to TB)supported by the Association Fran?aise contre les Myopathies(AFM-Téléthon)。
文摘Mitochondria and mitochondria-associated endoplasmic reticulum membrane in neurodegenerative diseases:Mitochondria generate most of the chemical energy needed to power the biochemical reactions of cells,and thus are often referred to as the"powerhouse"of the cell.Nevertheless,this organelle is also involved in a pleth,ora of different cellular functions such as calcium(Ca^(2+))homeostasis,apoptosis,oxidative stress,and several metabolic pathways including oxidative phosphorylation,tricarboxylic acid cycle,andβ-oxidation of fatty acids.
文摘In Burkina Faso, one of the three largest gold producers in West Africa, foundry activity is often paralyzed when basic equipment such as crucibles and cups are not available or should be imported. However, previous studies have shown the availability of kaolinite-rich clay resources that could be used for the local manufacture of silico-aluminous ceramic crucibles. This work allowed to manufacture industrial ceramic crucibles with local clays and then they were tested in foundry industry. The materials were manufactured from three (03) raw materials including two clays (SAB and ROU) and sand. The chemical and mineral analysis has shown that the raw materials are suitable for the formulation of refractory materials. The results of characterization of the materials formulated showed that the properties of use are appreciable. The porosity of the materials is relatively low (23 - 28 vol%) with a diametral compressive strength between 0.61 and 1.34 MPa. Crucibles sintered at 1250˚C with a stay of 2 hours have a mechanical strength capable of supporting the weight of the ores contained. These crucibles have a refractoriness under load (T0.5) above 1141˚C and resist chemical attacks. Tests were carried out in the industry at 1100˚C, and the results were satisfactory.
文摘Using the improved prospect theory with the linear transformations of rewarding good and punishing bad(RGPBIT),a new investment ranking model for power grid construction projects(PGCPs)is proposed.Given the uncertainty of each index value under the market environment,fuzzy numbers are used to describe qualitative indicators and interval numbers are used to describe quantitative ones.Taking into account decision-maker’s subjective risk attitudes,a multi-criteria decision-making(MCDM)method based on improved prospect theory is proposed.First,the[−1,1]RGPBIT operator is proposed to normalize the original data,to obtain the best andworst schemes of PGCPs.Furthermore,the correlation coefficients between interval/fuzzy numbers and the best/worst schemes are defined and introduced to the prospect theory to improve its value function and loss function,and the positive and negative prospect value matrices of the project are obtained.Then,the optimization model with the maximum comprehensive prospect value is constructed,the optimal attribute weight is determined,and the PGCPs are ranked accordingly.Taking four PGCPs of the IEEERTS-79 node system as examples,an illustration of the feasibility and effectiveness of the proposed method is provided.
文摘Objective:To isolate and characterize antidiabetic component（bioactivity-guided fractionation） from hydro alcoholic extract of Ocimum sanctum（O.sanctum） aerial part.Methods:Ten fractions（F1 - F10） were isolated from hydro alcoholic extract of O.sanctum aerial part by column chromatography.All the fractions Fl to F10 were screened for antidiabetic activity in alloxan induced diabetic rats by estimating serum glucose level and lipid parameters.The isolated bioactive component was elucidated on the basis of extensive spectroscopic(UV,IR,MS,<sup>1</sup>H and <sup>13</sup>C NMR) data analysis.Results:The bioactive fraction（F5） was found to be potent antidiabetic by ameliorating glucose and lipid parameters（total cholesterol,triglycerides,low and high density lipoprotein cholesterol）.The extensive spectroscopic data analysis reveals that,the isolated bioactive compound elucidated as tetracyclic triterpenoid[16-Hydroxy-4,4,10,13-tetramethyl- 17-（4-methyI-pentyl）-hexadecahydro-cyclopenta[a]phenanthren-3-one].Conclusions:Our present study concluded that,tetracyclic triterpenoid isolated from aerial part of O.sanctum has a great anti-diabetic potential.
文摘Objective:To evaluate antidiabetic activity of chloroform extracts of Acacia arabica bark, Benincasa hispida fruit,Tinispora cordifolia stem,Ocimum sanctum areal parts and Jatropha curcus leaves.Methods:The chloroform extracts of Acacia arabica bark,Benincasa hispida fruit,Tinospora cordifolia stem,aerial part of Ocimum sanctum and Jatropha curcus leaves were evaluated at different doses(250 and 500 mg/kg body weight.) for antidiabetic potentials in alloxan induced diabetic albino rats.The extracts were administered for two weeks in different groups whereas tolbutamide(80 mg/kg body weight) was used as reference standard throughout study.Results:The result of present study showed test compounds significantly decreases elevated level of serum glucose and also caused to reverse the cholesterol,triglyceride,HDL and LDL values when compared to untreated diabetic rats.Conclusions:Our finding indicates that different test extracts were able to ameliorate the derangements in lipid metabolism caused by diabetes mellitus in alloxan induced diabetic rats towards normal level.
文摘This paper presents new experimental results concerning the PeTa effect—infrared characteristic radiation under first order phase transitions, especially during deposition and condensation of vapours/gases and the crystallisation of melts. The abbreviation “PeTa effect” means Perel’man-Tatartchenko’s effect. The nature of the PeTa effect is transient radiation that a particle (i.e., atom, molecule or/and cluster) emits during a transition from a meta-stable higher energetic level (in a super-cooled melt or super-saturated vapour) to the stable condensed lower level (in a crystal or liquid). The radiation removes latent heat with photons of characteristic frequencies that are generated under this transition. This paper is the second in a set describing the appearance of PeTa radiation under air cooling with deposition and condensation of air components. The radiation was recorded using an IR Fourier Spectrometer with a highly sensitive MCT detector. Certain peculiarities of the recorded radiation as well as its applications in the physics of the atmospheres of Earth and Jupiter are analysed.
