Pub Date : 2023-03-31DOI: 10.17993/3ctecno.2023.v12n1e43.191-200
Ebtehaj H. Ali, Rashid O. Kadhim
In this research, a theoretical study was conducted to calculate the total stopping power of some relativistic heavy ions (protons and alpha particles) during their passage through some media (ethylene and benzene) in the energy range (0.01-1000 MeV). The equations were programmed using MATLAB2021, the curve fitting tool was used, and the calculated results were compared with the experimental data of the P- Star and A-Star programs for the same missiles in those organic compounds.
{"title":"Stopping Power Calculation of Protons and α–Particles for C2H4 and C6H6 in Energy Range 0.01-1000 MeV","authors":"Ebtehaj H. Ali, Rashid O. Kadhim","doi":"10.17993/3ctecno.2023.v12n1e43.191-200","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.191-200","url":null,"abstract":"In this research, a theoretical study was conducted to calculate the total stopping power of some relativistic heavy ions (protons and alpha particles) during their passage through some media (ethylene and benzene) in the energy range (0.01-1000 MeV). The equations were programmed using MATLAB2021, the curve fitting tool was used, and the calculated results were compared with the experimental data of the P- Star and A-Star programs for the same missiles in those organic compounds.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"132 35","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120850899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.17993/3ctecno.2023.v12n1e43.33-52
Xin Jin, Yucheng Hua, Qiao Tang
Due to huge disaster-caused force, seismic geological disasters primarily induce residual landslide, collapse and debris flow disasters with far higher hazard extent than that of earthquake disasters. Wherefore, this paper, with various vibration slopes caused by the most representative Wenchuan earthquake as research objects, introduces the strength reduction method to the stability study of residual mountains in a certain area, puts forward dynamic stability slope evaluation method based on dynamic and overall strength reduction method to obtain the mountain slope stability situation in the process of gradual instability, searches out the sliding surface of progressive expansion making use of dynamic strength reduction method and calculates dynamic safety index in the process of gradual slope instability pursuant to the calculation advantages of dynamic strength reduction method, so as to realize the analysis and regulation of the whole process of slope instability. The results show that in the stability analysis of a homogeneous slope, the safety index of slope stability calculated by strength reduction method is 6.7%, 8.8% and 10.5% higher than that calculated by finite element limit equilibrium method, Bishop method and Janbu method respectively. In the stability analysis of a multi-layer soil slope, the safety index of slope stability calculated by strength reduction method is 4.8%, 4.3% and 9.4% higher than that calculated by other three algorithms. While in the stability analysis of soft interlining slope, the safety indexes of slope stability calculated by the method proposed in this paper are increased by 26.10%, 29.11% and 26.46% respectively compared with other three algorithms, indicating that the stability of landslide residual mountains calculated by strength reduction method proposed in this paper is the highest.
{"title":"Applying the strength reduction method to study of stability of residual mountains: A particular application","authors":"Xin Jin, Yucheng Hua, Qiao Tang","doi":"10.17993/3ctecno.2023.v12n1e43.33-52","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.33-52","url":null,"abstract":"Due to huge disaster-caused force, seismic geological disasters primarily induce residual landslide, collapse and debris flow disasters with far higher hazard extent than that of earthquake disasters. Wherefore, this paper, with various vibration slopes caused by the most representative Wenchuan earthquake as research objects, introduces the strength reduction method to the stability study of residual mountains in a certain area, puts forward dynamic stability slope evaluation method based on dynamic and overall strength reduction method to obtain the mountain slope stability situation in the process of gradual instability, searches out the sliding surface of progressive expansion making use of dynamic strength reduction method and calculates dynamic safety index in the process of gradual slope instability pursuant to the calculation advantages of dynamic strength reduction method, so as to realize the analysis and regulation of the whole process of slope instability. The results show that in the stability analysis of a homogeneous slope, the safety index of slope stability calculated by strength reduction method is 6.7%, 8.8% and 10.5% higher than that calculated by finite element limit equilibrium method, Bishop method and Janbu method respectively. In the stability analysis of a multi-layer soil slope, the safety index of slope stability calculated by strength reduction method is 4.8%, 4.3% and 9.4% higher than that calculated by other three algorithms. While in the stability analysis of soft interlining slope, the safety indexes of slope stability calculated by the method proposed in this paper are increased by 26.10%, 29.11% and 26.46% respectively compared with other three algorithms, indicating that the stability of landslide residual mountains calculated by strength reduction method proposed in this paper is the highest.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131239200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.17993/3ctecno.2023.v12n1e43.282-294
O. Alsaif, Mohammed L. Muammer
In 2019 a new Syndrome appear on the Large numbers of people like (High temperature, cough, Loss of sense of smell and taste(forcing a lot of them to enter the critical care unit after while the virus how case this syndrome named (SARS-CoV2). The aim of this paper is recognize the patient who effected by covid-19 or not using x- ray images. Deep learning techniques utilized to classify these images by using convolutional neural network (CNN). The dataset have been utilized in this work consist of 1000 x-ray images collected from kaggle website and divided it into 80% for training and 20% for validation. The proposed method using the pertained networks such as (EffienentNet B0, ResNet50) to minimize the training time with high performance, where the EffienentNet B0 network give high accuracy is 98.5%,finaly the model has been implemented on raspberry pi3 successfully for classification task.
{"title":"Pathological outcomes of covid-19 for lungs infections based on transfer learning technology","authors":"O. Alsaif, Mohammed L. Muammer","doi":"10.17993/3ctecno.2023.v12n1e43.282-294","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.282-294","url":null,"abstract":"In 2019 a new Syndrome appear on the Large numbers of people like (High temperature, cough, Loss of sense of smell and taste(forcing a lot of them to enter the critical care unit after while the virus how case this syndrome named (SARS-CoV2). The aim of this paper is recognize the patient who effected by covid-19 or not using x- ray images. Deep learning techniques utilized to classify these images by using convolutional neural network (CNN). The dataset have been utilized in this work consist of 1000 x-ray images collected from kaggle website and divided it into 80% for training and 20% for validation. The proposed method using the pertained networks such as (EffienentNet B0, ResNet50) to minimize the training time with high performance, where the EffienentNet B0 network give high accuracy is 98.5%,finaly the model has been implemented on raspberry pi3 successfully for classification task.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115981383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.17993/3ctecno.2023.v12n1e43.225-241
H. Al-hamdani, S. Hameed, R. Hameed
The nanoparticle was prepared using aqueous extract of naringin Citrus aurantium and copper salts, which are 100% local materials to combat the white fly Bemisia tabaci, which have the ability to transmit and spread plant diseases at a very high rate and pose a great threat to global food production. In tropical and subtropical regions, the insect problem used in the study has become one of the most serious problems facing crop protection. The economic losses are estimated in the hundreds of millions of dollars. The prepared nanoparticles were characterized by the following assays:UV- visible spectrophotometry, SEM, AFM and FTIR. The results of the study showed that the nanoparticles of copper salts were more effective in the mortality rates of nymphs, eggs, and whole insects of the whitefly at concentrations of 100, 200 and 300 ppm, in addition to that the effectiveness of the nanocide led to higher mortality rates for the third, fourth and virginal stages of whitefly at 300 ppm concentrations compared to the results Aqueous extract of Citrus aurantium and copper salts.
{"title":"Preparation of the environmentally friendly green nano insecticide using copper salts","authors":"H. Al-hamdani, S. Hameed, R. Hameed","doi":"10.17993/3ctecno.2023.v12n1e43.225-241","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.225-241","url":null,"abstract":"The nanoparticle was prepared using aqueous extract of naringin Citrus aurantium and copper salts, which are 100% local materials to combat the white fly Bemisia tabaci, which have the ability to transmit and spread plant diseases at a very high rate and pose a great threat to global food production. In tropical and subtropical regions, the insect problem used in the study has become one of the most serious problems facing crop protection. The economic losses are estimated in the hundreds of millions of dollars. The prepared nanoparticles were characterized by the following assays:UV- visible spectrophotometry, SEM, AFM and FTIR. The results of the study showed that the nanoparticles of copper salts were more effective in the mortality rates of nymphs, eggs, and whole insects of the whitefly at concentrations of 100, 200 and 300 ppm, in addition to that the effectiveness of the nanocide led to higher mortality rates for the third, fourth and virginal stages of whitefly at 300 ppm concentrations compared to the results Aqueous extract of Citrus aurantium and copper salts.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115178663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.17993/3ctecno.2023.v12n1e43.386-412
Zhenzhen Li, Kangning Zhao, Hongkui Li, Juan L. G. Guirao, Huatao Chen
This paper considers the global stability of the Euler-Bernoulli beam excited by multiplicative white noise. Based on the theory of global random attractors, the Hausdorff dimensions of the global random attractors for the system is obtained. According to the relationship between Hausdorff dimensions and global Lyapunov exponents, the global stability of the stochastic beam is derived.
{"title":"Global stability of the Euler- Bernoulli beams excited by multiplicative white noises","authors":"Zhenzhen Li, Kangning Zhao, Hongkui Li, Juan L. G. Guirao, Huatao Chen","doi":"10.17993/3ctecno.2023.v12n1e43.386-412","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.386-412","url":null,"abstract":"This paper considers the global stability of the Euler-Bernoulli beam excited by multiplicative white noise. Based on the theory of global random attractors, the Hausdorff dimensions of the global random attractors for the system is obtained. According to the relationship between Hausdorff dimensions and global Lyapunov exponents, the global stability of the stochastic beam is derived.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128087304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.17993/3ctecno.2023.v12n1e43.366-384
Ajay L. Dumanwad, Manoj A. Kumbhalkar, Jaswindar Singh
Now a day plastic injection molding is widely used process to manufacture engineering product and consumer goods typically thermoplastic is combined with rubber or another thermoplastic like RM master batch is used to add color to the Molded part also the laser marking on plastic part and their printing cut, faint issue observed. The aim of the study was to Optimize the injection parameters and processing condition for the laser performance on polypropylene part. To achieve enhanced dark laser marking on polypropylene, the process parameter of plastic injection molding and the Raw material master batch mixing parameter successfully prepared this laser–sensitive composite consisted of a high Laser induced carbonization rate.in plastic injection molding use of raw material and mixing of master batch is considerable factor for faint laser marking. Because of laser does not respond well on carbonization added material, it was evident that master batch having the carbon properties is much more responsible for faint laser marking issue on polypropylene material part. The effect of laser beam interaction (Nd: YVO4) with selected operational parameters on the Quality of graphical features obtained on the surface of polypropylene-molded pieces with different surface Textures (variable parameters of the surface layer). Polypropylene test specimens were injection molded using original injection molds Products with variable end parameters determined by the position of the cavity circle can be identified. The layout of the laser function, the beneficiary texture of the molded piece, the molded color and the support of the marking piece allow the evaluation of the graphic symbol performance by means of laser marking of the type of master back in their rendering relationship. Marked evaluation criteria were adopted for the project.
{"title":"Experimental Analysis on Polypropylene Moulded Part for Performance of Laser Printing","authors":"Ajay L. Dumanwad, Manoj A. Kumbhalkar, Jaswindar Singh","doi":"10.17993/3ctecno.2023.v12n1e43.366-384","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.366-384","url":null,"abstract":"Now a day plastic injection molding is widely used process to manufacture engineering product and consumer goods typically thermoplastic is combined with rubber or another thermoplastic like RM master batch is used to add color to the Molded part also the laser marking on plastic part and their printing cut, faint issue observed. The aim of the study was to Optimize the injection parameters and processing condition for the laser performance on polypropylene part. To achieve enhanced dark laser marking on polypropylene, the process parameter of plastic injection molding and the Raw material master batch mixing parameter successfully prepared this laser–sensitive composite consisted of a high Laser induced carbonization rate.in plastic injection molding use of raw material and mixing of master batch is considerable factor for faint laser marking. Because of laser does not respond well on carbonization added material, it was evident that master batch having the carbon properties is much more responsible for faint laser marking issue on polypropylene material part. The effect of laser beam interaction (Nd: YVO4) with selected operational parameters on the Quality of graphical features obtained on the surface of polypropylene-molded pieces with different surface Textures (variable parameters of the surface layer). Polypropylene test specimens were injection molded using original injection molds Products with variable end parameters determined by the position of the cavity circle can be identified. The layout of the laser function, the beneficiary texture of the molded piece, the molded color and the support of the marking piece allow the evaluation of the graphic symbol performance by means of laser marking of the type of master back in their rendering relationship. Marked evaluation criteria were adopted for the project.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"53 71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114520741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.17993/3ctecno.2023.v12n1e43.159-174
Shenghan Sun, Ping Shu
Surveying and mapping technology is one of the key technologies used in petroleum geological exploration and has made significant contributions to geological exploration. However, with the development of science and technology, traditional surveying and mapping technology has low work efficiency and poor information accuracy, which limits its application. This study proposes a surveying and mapping technology based on the 1DCNN-LSTM deep learning model. Through feature selection and feature optimization, the important features extracted by 1DCNN are predicted through LSTM, and the development direction of surveying and mapping technology is optimized and predicted to promote the development of new surveying and mapping technologies. application. By using the orthogonal test to optimize the input factors, determine the relative order of the influence of the factors, and use the 1DCNN-LSTM and BP neural network to train and verify the input factors respectively. The research results show that 1DCNN-LSTM has higher prediction accuracy, and the prediction accuracy is The results show that the 1DCNN-LSTM deep learning model used in the optimization of petroleum geological exploration and mapping technology in this study has strong practical significance.
{"title":"Application of surveying and mapping technology based on deep learning model in petroleum geological exploration","authors":"Shenghan Sun, Ping Shu","doi":"10.17993/3ctecno.2023.v12n1e43.159-174","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.159-174","url":null,"abstract":"Surveying and mapping technology is one of the key technologies used in petroleum geological exploration and has made significant contributions to geological exploration. However, with the development of science and technology, traditional surveying and mapping technology has low work efficiency and poor information accuracy, which limits its application. This study proposes a surveying and mapping technology based on the 1DCNN-LSTM deep learning model. Through feature selection and feature optimization, the important features extracted by 1DCNN are predicted through LSTM, and the development direction of surveying and mapping technology is optimized and predicted to promote the development of new surveying and mapping technologies. application. By using the orthogonal test to optimize the input factors, determine the relative order of the influence of the factors, and use the 1DCNN-LSTM and BP neural network to train and verify the input factors respectively. The research results show that 1DCNN-LSTM has higher prediction accuracy, and the prediction accuracy is The results show that the 1DCNN-LSTM deep learning model used in the optimization of petroleum geological exploration and mapping technology in this study has strong practical significance.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125455401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.17993/3ctecno.2023.v12n1e43.15-31
Saiyu Yang, Peng Dai
Climate model is an effective medium to study climate system and climate change. Its simulation results are essentially a crucial data basis for climate prediction and climate change risk assessment. With the acceleration of global warming, the surface ecological environment, hydrological dynamic cycle process, social and economic development are all affected thereupon, resulting in certain influence on the production and life of human beings. In this regard, this paper conducts a study on extreme precipitation events of different climate models with Yanhe River Basin as the study area. The results show that: 1. Yanhe River Basin is a sensitive area to climate change. In the future, the precipitation in this area, for a long time will not increase obviously, but fluctuate greatly; 2. The temporal and spatial difference of extreme precipitation events in the study area is significant. From 2000 to 2050, the interdecadal fluctuation of extreme precipitation events in the study area is significant. In the future, the area with the largest volume of precipitation above 12mm will be concentrated in the southeast part of the study area, followed by the western boundary area; 3. There are few areas with precipitation above 50mm in the Yanhe River Basin, and the occurrence frequency has decreased significantly; 4. The simulation results of different climate models are different. Alao, pursuant to the data analysis results, different models have certain differences in the spatial simulation of extreme precipitation. It is speculated that the terrain factors and Monsoon Simulation factors may affect the simulation results of extreme precipitation events.
{"title":"Using climate models to predict extreme rainfall trend in Yanhe riverbasin, China","authors":"Saiyu Yang, Peng Dai","doi":"10.17993/3ctecno.2023.v12n1e43.15-31","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.15-31","url":null,"abstract":"Climate model is an effective medium to study climate system and climate change. Its simulation results are essentially a crucial data basis for climate prediction and climate change risk assessment. With the acceleration of global warming, the surface ecological environment, hydrological dynamic cycle process, social and economic development are all affected thereupon, resulting in certain influence on the production and life of human beings. In this regard, this paper conducts a study on extreme precipitation events of different climate models with Yanhe River Basin as the study area. The results show that: 1. Yanhe River Basin is a sensitive area to climate change. In the future, the precipitation in this area, for a long time will not increase obviously, but fluctuate greatly; 2. The temporal and spatial difference of extreme precipitation events in the study area is significant. From 2000 to 2050, the interdecadal fluctuation of extreme precipitation events in the study area is significant. In the future, the area with the largest volume of precipitation above 12mm will be concentrated in the southeast part of the study area, followed by the western boundary area; 3. There are few areas with precipitation above 50mm in the Yanhe River Basin, and the occurrence frequency has decreased significantly; 4. The simulation results of different climate models are different. Alao, pursuant to the data analysis results, different models have certain differences in the spatial simulation of extreme precipitation. It is speculated that the terrain factors and Monsoon Simulation factors may affect the simulation results of extreme precipitation events.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126875024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.17993/3ctecno.2023.v12n1e43.108-125
Xianwei Zhang, Yueyan Zhang
Various network information is mixed, which has a great impact education, with continuous development informatization. However, development of informatization has provided convenience for the daily ideological political education, effectively solved time and space limitation daily ideological, and sustainable development. Therefore, positively influence formation of college students' noble morality. The informatization education resources can be effectively integrated, and the utilization rate resources improved. Information resources of ideological and political education, we propose a complete block diagram of the daily ideological system of college students. First, design a complete interactive analysis questionnaire for college student’s role of daily ideological and political education. Through questionnaire survey method, the survey and statistical weight scores were conducted to analyze the proportion of each indicator. Then, the framework of education in the network environment is adopted, which includes, class tutoring learning, class interactive learning, class in-depth study, process evaluation and feedback evaluation. Learn through a period of ideological and political education. Collect data as our training corpus. Finally, the training prediction model BERT-BiLSTM-CRF-based trained. Prediction of F1 BERT-BiLSTM- CRF -based can reach 91.09%.
{"title":"Research on Innovation of Daily Ideological and Political Education for College Students based on Deep Learning Model","authors":"Xianwei Zhang, Yueyan Zhang","doi":"10.17993/3ctecno.2023.v12n1e43.108-125","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.108-125","url":null,"abstract":"Various network information is mixed, which has a great impact education, with continuous development informatization. However, development of informatization has provided convenience for the daily ideological political education, effectively solved time and space limitation daily ideological, and sustainable development. Therefore, positively influence formation of college students' noble morality. The informatization education resources can be effectively integrated, and the utilization rate resources improved. Information resources of ideological and political education, we propose a complete block diagram of the daily ideological system of college students. First, design a complete interactive analysis questionnaire for college student’s role of daily ideological and political education. Through questionnaire survey method, the survey and statistical weight scores were conducted to analyze the proportion of each indicator. Then, the framework of education in the network environment is adopted, which includes, class tutoring learning, class interactive learning, class in-depth study, process evaluation and feedback evaluation. Learn through a period of ideological and political education. Collect data as our training corpus. Finally, the training prediction model BERT-BiLSTM-CRF-based trained. Prediction of F1 BERT-BiLSTM- CRF -based can reach 91.09%.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121741429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.17993/3ctecno.2023.v12n1e43.354-364
Alkasim A. Alabady, Bayan S. Khalaf
Aim of the study: Using surface roughness and tensile bond strength tests, the objective of this investigation was to ascertain the impact of laser surface modification on the binding strength of injectable thermoplastic acrylic denture base material to acrylic-based soft-liner material. Materials and methods: Acrylic base soft liner material was bonded to injectable thermoplastic acrylic resin (Deflex). Forty specimens were created (20 disc, 20 dumbbells) 10 of each specimen type as control specimens, and 10 were treated with nano pulse Nd: YAG laser. The data were analyzed using the Kruskal-Wallis test and unpaired t-test (a=.05) and the roughness test was performed utilizing a double column universal test machine. Results: Compared to the control groups, the laser group had much increased roughness and tensile bond strength. Conclusions. Following Nd:YAG laser surface treatment, the tensile bonding strength between acrylic soft-liner material and thermoplastic acrylic was increased.
{"title":"Bond Strength Of Acrylic Soft Liner To Nd:Yag Laser-Treated Thermoplastic Acrylic Denture Base Material","authors":"Alkasim A. Alabady, Bayan S. Khalaf","doi":"10.17993/3ctecno.2023.v12n1e43.354-364","DOIUrl":"https://doi.org/10.17993/3ctecno.2023.v12n1e43.354-364","url":null,"abstract":"Aim of the study: Using surface roughness and tensile bond strength tests, the objective of this investigation was to ascertain the impact of laser surface modification on the binding strength of injectable thermoplastic acrylic denture base material to acrylic-based soft-liner material. Materials and methods: Acrylic base soft liner material was bonded to injectable thermoplastic acrylic resin (Deflex). Forty specimens were created (20 disc, 20 dumbbells) 10 of each specimen type as control specimens, and 10 were treated with nano pulse Nd: YAG laser. The data were analyzed using the Kruskal-Wallis test and unpaired t-test (a=.05) and the roughness test was performed utilizing a double column universal test machine. Results: Compared to the control groups, the laser group had much increased roughness and tensile bond strength. Conclusions. Following Nd:YAG laser surface treatment, the tensile bonding strength between acrylic soft-liner material and thermoplastic acrylic was increased.","PeriodicalId":210685,"journal":{"name":"3C Tecnología_Glosas de innovación aplicadas a la pyme","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133181315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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