Pub Date : 2023-03-31DOI: 10.17993/3cemp.2023.120151.68-85
Xiaoshan Yang, Weiwei Guan
The growing data age is reflected in all aspects of today's society. In the field of logistics, especially when the road conditions in urban areas are complex, how to select the optimal distribution path and reduce the distribution time is a problem worthy of attention. Aiming at the problems faced by traditional algorithms in solving the distribution of logistics vehicles in urban areas, however, the method based on regional chain technology can better solve the path optimization problem. A deep reinforcement learning algorithm based on attention mechanism and LSTM model is designed and applied to the distribution path planning of logistics vehicles. The distribution optimization path of logistics vehicles is obtained through sample training experiments, Thus, it provides a new idea for the optimization of logistics distribution path.
{"title":"Research on logistics distribution route optimization based on deep learning model and block chain technology","authors":"Xiaoshan Yang, Weiwei Guan","doi":"10.17993/3cemp.2023.120151.68-85","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.68-85","url":null,"abstract":"The growing data age is reflected in all aspects of today's society. In the field of logistics, especially when the road conditions in urban areas are complex, how to select the optimal distribution path and reduce the distribution time is a problem worthy of attention. Aiming at the problems faced by traditional algorithms in solving the distribution of logistics vehicles in urban areas, however, the method based on regional chain technology can better solve the path optimization problem. A deep reinforcement learning algorithm based on attention mechanism and LSTM model is designed and applied to the distribution path planning of logistics vehicles. The distribution optimization path of logistics vehicles is obtained through sample training experiments, Thus, it provides a new idea for the optimization of logistics distribution path.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","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":"121825500","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: 10.17993/3cemp.2023.120151.290-299
Teeba T. Khudair, Wala’a H. Hadi, Haneen Kadhim Zaid
Alopecia areata is a prevalent autoimmune skin disorder. The current investigation aims to evolve the function of serum IFN-, complement component C3 C4, and vitamin D3 levels in the prognosis of patients with alopecia areata. The blood sample was taken from twenty AA patients and twenty healthy controls. Interferon (IFN-) levels in serum were evaluated using the ELISA method, V.D3 was detected using the Roche electrochemiluminescence method, and C3 and C4 were detected using the immunoturbidimetry method. . In the current study observed elevated levels of IFN-γ (299±115.7 Pg/ml), while the control group was lowest 73±10.84 Pg/ml .This funding was highly significantly different (p-value 0.00). The Mean±SD Level of components C3 and C4 in the current study were (1.37±0.903) (0.29±0.029) Alopecia Areata cases were not statistically different from the usual range, however vitamin D3 levels were severely deficient. (6.86±4.03) when compared to normal range. Distribution of AA among male was highly observed in age group NO = 10 (50%) 1 - 19years follow by age group NO = 4(20%) 20-39 and (40-50) respectively while Alopecia Areata among females was the lowest distribution.
{"title":"Serum levels of ifn-γ, complement component c3 c4 and vitamin d3 in the prognosis of patients with alopecia areata prospective teachers","authors":"Teeba T. Khudair, Wala’a H. Hadi, Haneen Kadhim Zaid","doi":"10.17993/3cemp.2023.120151.290-299","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.290-299","url":null,"abstract":"Alopecia areata is a prevalent autoimmune skin disorder. The current investigation aims to evolve the function of serum IFN-, complement component C3 C4, and vitamin D3 levels in the prognosis of patients with alopecia areata. The blood sample was taken from twenty AA patients and twenty healthy controls. Interferon (IFN-) levels in serum were evaluated using the ELISA method, V.D3 was detected using the Roche electrochemiluminescence method, and C3 and C4 were detected using the immunoturbidimetry method. . In the current study observed elevated levels of IFN-γ (299±115.7 Pg/ml), while the control group was lowest 73±10.84 Pg/ml .This funding was highly significantly different (p-value 0.00). The Mean±SD Level of components C3 and C4 in the current study were (1.37±0.903) (0.29±0.029) Alopecia Areata cases were not statistically different from the usual range, however vitamin D3 levels were severely deficient. (6.86±4.03) when compared to normal range. Distribution of AA among male was highly observed in age group NO = 10 (50%) 1 - 19years follow by age group NO = 4(20%) 20-39 and (40-50) respectively while Alopecia Areata among females was the lowest distribution.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"47 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":"125765934","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: 10.17993/3cemp.2023.120151.165-184
Zhe Wang
Plantations play a central and lever role in maintaining the ecological balance of the earth, maintaining the overall function of the terrestrial ecosystem, and promoting the coordinated development of economic society and ecological construction. In order to strengthen the ecological management of plantation forests and improve the ecological level of forest region, the C/S framework is taken as the basic structure, and the programming mode of business model-user interface controller is used, on J2EE platform. The ecological management system of a planted forest is constructed by the evaluation module, the principal component comprehensive analysis module of ecological function value and the demand prediction module of planted forest based on extreme learning machine and deep learning algorithm, and runs under the support of windows system, oracle 15G and above database software. The indexes and factors affecting the ecological function of plantation forests were evaluated and analyzed, and the final management decision was given by the prediction module. The results showed that the plant density significantly affected plant biomass, organic carbon storage, water content and nutrient accumulation, and the comprehensive evaluation indexes of four ecological functions increased from 32.69, 31.84, 33.71 and 35.46 to 86.18, 89.46, 89.83 and 88.76, respectively. Although the degree of influence of the system on lemon strip plants, herbaceous plants, surface litter and soil varies, it still has good feasibility, effectiveness and practicality, and can assist the scientific ecological management of artificial plantation forests.
{"title":"Development of ecological management system for planted forest based on ELM deep learning algorithm","authors":"Zhe Wang","doi":"10.17993/3cemp.2023.120151.165-184","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.165-184","url":null,"abstract":"Plantations play a central and lever role in maintaining the ecological balance of the earth, maintaining the overall function of the terrestrial ecosystem, and promoting the coordinated development of economic society and ecological construction. In order to strengthen the ecological management of plantation forests and improve the ecological level of forest region, the C/S framework is taken as the basic structure, and the programming mode of business model-user interface controller is used, on J2EE platform. The ecological management system of a planted forest is constructed by the evaluation module, the principal component comprehensive analysis module of ecological function value and the demand prediction module of planted forest based on extreme learning machine and deep learning algorithm, and runs under the support of windows system, oracle 15G and above database software. The indexes and factors affecting the ecological function of plantation forests were evaluated and analyzed, and the final management decision was given by the prediction module. The results showed that the plant density significantly affected plant biomass, organic carbon storage, water content and nutrient accumulation, and the comprehensive evaluation indexes of four ecological functions increased from 32.69, 31.84, 33.71 and 35.46 to 86.18, 89.46, 89.83 and 88.76, respectively. Although the degree of influence of the system on lemon strip plants, herbaceous plants, surface litter and soil varies, it still has good feasibility, effectiveness and practicality, and can assist the scientific ecological management of artificial plantation forests.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"14 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":"134601323","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: 10.17993/3cemp.2023.120151.273-288
Wala’a H. Hadi, Teeba T. Khudair, Khalid G. Al-Fartosi
The present study including study Level of lipid profile and liver enzyme of diabetic male rats induced by streptozotocin The study was carried out in the animal house of the Biology Department, College of Science, University of Thi-Qar ,Iraq. Thirty lab male rats were used in this study, and divided into five groups (6 rats for each group). Thirty male rats (190-210 gm) were randomly divided into five groups and placed in cages according to the groups, containing 6 rats per group as following. Group1, considered as the negative control group, given food and water for a period of 30 days. Group 2, served as the diabetic positive control, given streptozotocin were injected I.P. 60 mg/kg b.w. as a single dose with food and water for 15 days. Group 3, received streptozotocin were injected I.P (60 mg/kg) with food and water for 15 days, then treated with forxiga 1mg/kg administrated orally every day for a period of 15 days. Group 4, given were injected I.P streptozotocin (60 mg/kg) with s food and Water for 30 days. Group 5, received streptozotocin were injected I.P (60 mg/kg) with food and water. Then treated with forxiga1mg/kg administrated orally every day for a period of 15 day. At the end of experimental, all rats were euthanized, blood sample were obtained for bio chemical parameters.
{"title":"Level of lipid profile and liver enzyme of diabetic male rats induced by streptozotocin treated with forxiga","authors":"Wala’a H. Hadi, Teeba T. Khudair, Khalid G. Al-Fartosi","doi":"10.17993/3cemp.2023.120151.273-288","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.273-288","url":null,"abstract":"The present study including study Level of lipid profile and liver enzyme of diabetic male rats induced by streptozotocin The study was carried out in the animal house of the Biology Department, College of Science, University of Thi-Qar ,Iraq. Thirty lab male rats were used in this study, and divided into five groups (6 rats for each group). Thirty male rats (190-210 gm) were randomly divided into five groups and placed in cages according to the groups, containing 6 rats per group as following. Group1, considered as the negative control group, given food and water for a period of 30 days. Group 2, served as the diabetic positive control, given streptozotocin were injected I.P. 60 mg/kg b.w. as a single dose with food and water for 15 days. Group 3, received streptozotocin were injected I.P (60 mg/kg) with food and water for 15 days, then treated with forxiga 1mg/kg administrated orally every day for a period of 15 days. Group 4, given were injected I.P streptozotocin (60 mg/kg) with s food and Water for 30 days. Group 5, received streptozotocin were injected I.P (60 mg/kg) with food and water. Then treated with forxiga1mg/kg administrated orally every day for a period of 15 day. At the end of experimental, all rats were euthanized, blood sample were obtained for bio chemical parameters.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","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":"133813246","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: 10.17993/3cemp.2023.120151.207-224
Hongyan Liu
As the most widely used payment method at this stage, mobile payment is more and more closely related to the blockchain economy. Traditional methods lack a certain degree of accuracy. This research proposes a feature-based and sequential-based Bilateral AM (BAM) and Convolutional Neural Network (CNN)-gated recurrent unit for the development and application of mobile payment and blockchain economy (Gated Recurrent Unit, GRU) hybrid model (BAM-CNN-GRU), select 5 feature parameters with high correlation with the blockchain for multivariate prediction. The introduction of BAM can automatically quantify the correlation between the input variables and the blockchain, and strengthen the expression of historical key information on the predicted output; the introduction of CNN can extract high-dimensional features that reflect the non-stationary dynamic changes of the blockchain. The proposed hybrid model achieves good results in both single-step and multi-step long-term series and multivariate input blockchain prediction. Compared with the other six methods, MAE is reduced by 75.45%, 64.74%, 62.84%, respectively. 59.41%, 45.54%, 44.16%. Compared with the BAM-GRU model, the CNN-GRU model, the GRU model, the LSTM model, the support vector machine SVM model and the BP model, the prediction accuracy of the hybrid model has been greatly improved, and it has a broader application prospect.
移动支付作为现阶段使用最广泛的支付方式，与区块链经济的联系越来越紧密。传统的方法缺乏一定程度的准确性。本研究提出了一种基于特征和序列的双边AM (BAM)和卷积神经网络(CNN)的门控循环单元(Gated recurrent unit, GRU)混合模型(BAM-CNN-GRU)，选择5个与区块链高度相关的特征参数进行多元预测。BAM的引入可以自动量化输入变量与区块链之间的相关性，并加强对预测输出的历史关键信息的表达;CNN的引入可以提取反映区块链非平稳动态变化的高维特征。所提出的混合模型在单步和多步长期序列和多元输入区块链预测中都取得了良好的效果。与其他6种方法相比，MAE分别降低了75.45%、64.74%、62.84%。59.41%， 45.54%， 44.16%。与BAM-GRU模型、CNN-GRU模型、GRU模型、LSTM模型、支持向量机SVM模型和BP模型相比，混合模型的预测精度有了很大的提高，具有更广阔的应用前景。
{"title":"Research on the development and application of CNN model in mobile payment terminal and blockchain economy","authors":"Hongyan Liu","doi":"10.17993/3cemp.2023.120151.207-224","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.207-224","url":null,"abstract":"As the most widely used payment method at this stage, mobile payment is more and more closely related to the blockchain economy. Traditional methods lack a certain degree of accuracy. This research proposes a feature-based and sequential-based Bilateral AM (BAM) and Convolutional Neural Network (CNN)-gated recurrent unit for the development and application of mobile payment and blockchain economy (Gated Recurrent Unit, GRU) hybrid model (BAM-CNN-GRU), select 5 feature parameters with high correlation with the blockchain for multivariate prediction. The introduction of BAM can automatically quantify the correlation between the input variables and the blockchain, and strengthen the expression of historical key information on the predicted output; the introduction of CNN can extract high-dimensional features that reflect the non-stationary dynamic changes of the blockchain. The proposed hybrid model achieves good results in both single-step and multi-step long-term series and multivariate input blockchain prediction. Compared with the other six methods, MAE is reduced by 75.45%, 64.74%, 62.84%, respectively. 59.41%, 45.54%, 44.16%. Compared with the BAM-GRU model, the CNN-GRU model, the GRU model, the LSTM model, the support vector machine SVM model and the BP model, the prediction accuracy of the hybrid model has been greatly improved, and it has a broader application prospect.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"221 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":"116973629","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: 10.17993/3cemp.2023.120151.87-109
Jianqiang Mei, Wanyan Chen, Biyuan Li, Shixin Li, Jun Zhang
Deep learning evaluation is a new direction formed by the intersection of multiple domains, and the core issue is how to visualize collaborative learning models to motivate learners. Therefore, this paper realizes real-time knowledge sharing and facilitates learners' interaction through computer-supported collaborative learning (CSCL) technology. In this paper, we collect, label, and analyze data based on five modalities: brain, behavior, cognition, environment, and technology. In this paper, a computer-supported collaborative learning process analysis model is developed under the threshold of multimodal data analysis. The model is based on roles and CSCL for intelligent network collaboration. This paper designs and develops an interactive visualization tool to support online collaborative learning process analysis. In addition, this paper conducts a practical study in an online classroom. The results show that the model and the tool can be effectively used for online collaborative learning process analysis, and the test model results fit well. The entropy index of the test model took a value of about 0.85, and about less than 10% of the individuals were assigned to the wrong profile. During the test, the participation of participants gradually increased from 5% to about 25%, and the participation effect improved by about 80%. This indicates the strong applicability value of the computer-supported collaborative learning process analysis model under the multimodal data analysis perspective.
{"title":"Visualization of computer-supported collaborative learning models in the context of multimodal data analysis","authors":"Jianqiang Mei, Wanyan Chen, Biyuan Li, Shixin Li, Jun Zhang","doi":"10.17993/3cemp.2023.120151.87-109","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.87-109","url":null,"abstract":"Deep learning evaluation is a new direction formed by the intersection of multiple domains, and the core issue is how to visualize collaborative learning models to motivate learners. Therefore, this paper realizes real-time knowledge sharing and facilitates learners' interaction through computer-supported collaborative learning (CSCL) technology. In this paper, we collect, label, and analyze data based on five modalities: brain, behavior, cognition, environment, and technology. In this paper, a computer-supported collaborative learning process analysis model is developed under the threshold of multimodal data analysis. The model is based on roles and CSCL for intelligent network collaboration. This paper designs and develops an interactive visualization tool to support online collaborative learning process analysis. In addition, this paper conducts a practical study in an online classroom. The results show that the model and the tool can be effectively used for online collaborative learning process analysis, and the test model results fit well. The entropy index of the test model took a value of about 0.85, and about less than 10% of the individuals were assigned to the wrong profile. During the test, the participation of participants gradually increased from 5% to about 25%, and the participation effect improved by about 80%. This indicates the strong applicability value of the computer-supported collaborative learning process analysis model under the multimodal data analysis perspective.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"9 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":"115193352","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: 10.17993/3cemp.2023.120151.301-309
Rawaa M. Mohammed, Nidaa F. Aziz
Medicinal plants are being looked at as potential new sources of medicines that could replace antibiotics in the treatment of antibiotic-resistant bacteria. The aim of this study is to measure the effect of plant extracts on Proteus mirabilis growth to determine the antibacterial activity of them . Methods: Experimental, in vitro, of Al-Mustaqabal University Collage, The effects of four plant extracts on Proteus mirabilis were assessed. At a concentration of 10%, the activity was assessed using the well diffusion method. Result: Four aqueous plant extracts were tested for antibacterial activity (Peganum harmala, Piper nigrum, Syzygium aromaticum and Cinnamomum zeylanicum) has been evaluated against Proteus mirabilis (Isolated from urinary tract infection). The concentration was used for each type of extract 10mgml. In this concentration, the aqueous extract was effective against Proteus mirabilis with inhibition zones of 18 mm, 15 mm and 14 mm respectively, and extract of Cinnamomum zeylanicum shown no inhibition zone. Conclusion: The aqueous extract of Peganum harmala against Proteus mirabilis, showed the highest inhibition of 18mm with the concentration 10%. Whereas, aqueous extract of Cinnamomum zeylanicum has no antibacterial activity against Proteus mirabilis.
{"title":"Antibacterial activity of some plants extracts against proteus mirabilis bacteria","authors":"Rawaa M. Mohammed, Nidaa F. Aziz","doi":"10.17993/3cemp.2023.120151.301-309","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.301-309","url":null,"abstract":"Medicinal plants are being looked at as potential new sources of medicines that could replace antibiotics in the treatment of antibiotic-resistant bacteria. The aim of this study is to measure the effect of plant extracts on Proteus mirabilis growth to determine the antibacterial activity of them . Methods: Experimental, in vitro, of Al-Mustaqabal University Collage, The effects of four plant extracts on Proteus mirabilis were assessed. At a concentration of 10%, the activity was assessed using the well diffusion method. Result: Four aqueous plant extracts were tested for antibacterial activity (Peganum harmala, Piper nigrum, Syzygium aromaticum and Cinnamomum zeylanicum) has been evaluated against Proteus mirabilis (Isolated from urinary tract infection). The concentration was used for each type of extract 10mgml. In this concentration, the aqueous extract was effective against Proteus mirabilis with inhibition zones of 18 mm, 15 mm and 14 mm respectively, and extract of Cinnamomum zeylanicum shown no inhibition zone. Conclusion: The aqueous extract of Peganum harmala against Proteus mirabilis, showed the highest inhibition of 18mm with the concentration 10%. Whereas, aqueous extract of Cinnamomum zeylanicum has no antibacterial activity against Proteus mirabilis.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"10 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":"126859334","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: 10.17993/3cemp.2023.120151.463-478
Sajjad Hashim, Hasan Al-Mosawe
Paving is regarded as one of the essential layers in the construction of a road since it directly affects traffic loads and is subject to environmental factors. As a result, appropriate asphalt mixes that can support the designed traffic loads and environmental conditions must be developed. From an economic and environmental aspect, recycling the waste from the old pavement is a good step in this regard. This paper comprises detailed laboratory work that tested the impact of using different recycled asphalt pavement (RAP) content in addition to 3% crumb rubber (CR). The (CR) is used as fine aggregate. The tests were evaluated based on the response of hot asphalt mixes (HMA). The objectives of this study are to analyze the volumetric or weight change in hot mix asphalt of the different percentages and then analyse the costs of Kut-Maysan Road as a case study in case of using the different percentages of RAP and CR. The results show that the cost analysis of using RAP reduces the cost of a produced ton of HMA. On the other hand, the use of CR increases the cost of producing HMA. Using 10% RAP reduces the cost of one ton of HMA by 0.64 $ while using 20% RAP reduces the cost by 1.10 $, and the cost is reduced by 1.41 $ when using 30% RAP. On the other hand, the use of 3% CR with 10% RAP increased the production cost of one-ton HMA by 1.47 $. While decreased by 0.82 $ with 20% RAP content and by 0.28 $ with 30% RAP.
{"title":"The Influence of Using Sustainable Materials on Paving Cost of AL-Kut-Maysan Highway Using Cost-Benefit Analysis","authors":"Sajjad Hashim, Hasan Al-Mosawe","doi":"10.17993/3cemp.2023.120151.463-478","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.463-478","url":null,"abstract":"Paving is regarded as one of the essential layers in the construction of a road since it directly affects traffic loads and is subject to environmental factors. As a result, appropriate asphalt mixes that can support the designed traffic loads and environmental conditions must be developed. From an economic and environmental aspect, recycling the waste from the old pavement is a good step in this regard. This paper comprises detailed laboratory work that tested the impact of using different recycled asphalt pavement (RAP) content in addition to 3% crumb rubber (CR). The (CR) is used as fine aggregate. The tests were evaluated based on the response of hot asphalt mixes (HMA). The objectives of this study are to analyze the volumetric or weight change in hot mix asphalt of the different percentages and then analyse the costs of Kut-Maysan Road as a case study in case of using the different percentages of RAP and CR. The results show that the cost analysis of using RAP reduces the cost of a produced ton of HMA. On the other hand, the use of CR increases the cost of producing HMA. Using 10% RAP reduces the cost of one ton of HMA by 0.64 $ while using 20% RAP reduces the cost by 1.10 $, and the cost is reduced by 1.41 $ when using 30% RAP. On the other hand, the use of 3% CR with 10% RAP increased the production cost of one-ton HMA by 1.47 $. While decreased by 0.82 $ with 20% RAP content and by 0.28 $ with 30% RAP.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"15 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":"115310284","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: 10.17993/3cemp.2023.120151.186-205
Cheng Liu
Geological disasters in mines, ecological environment and geology and geomorphology are closely bound up with each other. To reduce or avoid economic loss and to decrease the threat degree of geological disasters to life safety, the protection of geological environment are formulated in this study. Specifically, this includes taking mines that are dominated by thin bedded carbonate as the research objects. The goals of this study include prevention and control of geological disasters and protection of geological environment. The data are based on characteristics of geological strata in mines collected by the exploration, and combined with the characteristics of geomorphic environment, relevant rules aiming at the prevention and control of geological disasters. Then, pursuant to the selection of indicators, an evaluation system is constructed to verify the effectiveness of measures and strategies proposed, in which the score value is converted into the corresponding level to test the implementation effect of the measures and strategies proposed. Through comparing the changes of the utility levels before and after the implementation of measures and strategies proposed, it can be seen that the geological disaster levels of the five mining areas in the study region are respectively improved from the non-ideal levels V, IV, V, V, IV to II, I, I, II, II, with the tailings pond leakage times less than 4 times and collapse volume less than 5m3. And, the levels of geological environment are upgraded from levels IV, IV, IV, V, V to ideal levels II, II, II, I, II, accomplished by the vegetation coverage rate of the mine reaching more than 35%, as well as the recovery rate of exploitation and utilization rate of tailings both exceeding 85%, which indicates that the protection strategy proposed in this paper has good practicality and feasibility.
{"title":"Research on geological environment protection and geological disasters control countermeasures in China","authors":"Cheng Liu","doi":"10.17993/3cemp.2023.120151.186-205","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.186-205","url":null,"abstract":"Geological disasters in mines, ecological environment and geology and geomorphology are closely bound up with each other. To reduce or avoid economic loss and to decrease the threat degree of geological disasters to life safety, the protection of geological environment are formulated in this study. Specifically, this includes taking mines that are dominated by thin bedded carbonate as the research objects. The goals of this study include prevention and control of geological disasters and protection of geological environment. The data are based on characteristics of geological strata in mines collected by the exploration, and combined with the characteristics of geomorphic environment, relevant rules aiming at the prevention and control of geological disasters. Then, pursuant to the selection of indicators, an evaluation system is constructed to verify the effectiveness of measures and strategies proposed, in which the score value is converted into the corresponding level to test the implementation effect of the measures and strategies proposed. Through comparing the changes of the utility levels before and after the implementation of measures and strategies proposed, it can be seen that the geological disaster levels of the five mining areas in the study region are respectively improved from the non-ideal levels V, IV, V, V, IV to II, I, I, II, II, with the tailings pond leakage times less than 4 times and collapse volume less than 5m3. And, the levels of geological environment are upgraded from levels IV, IV, IV, V, V to ideal levels II, II, II, I, II, accomplished by the vegetation coverage rate of the mine reaching more than 35%, as well as the recovery rate of exploitation and utilization rate of tailings both exceeding 85%, which indicates that the protection strategy proposed in this paper has good practicality and feasibility.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"13 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":"127307755","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: 10.17993/3cemp.2023.120151.226-241
Islam Abdelbary
The research examines why sub-Saharan African (SSA) nations have seen unsatisfactory economic development by assessing the reform programmes implemented during the last three decades. Based on an enhanced neoclassical growth model framework generated from a dynamic panel for 12 African nations from 1995 to 2019 using data from the LSDCV dynamic panel. The findings revealed that insufficient changes, particularly in governance and the institutional environment, had been implemented. Stability in the macroeconomic environment, structural reform, and physical infrastructure are all necessary for an efficient reform process and development of the developing world's growth prospects. Reform implies that it is political, social, and economical simultaneously. Political and economic reform should be carried out in tandem.
{"title":"The Impact of Reform on the Economic Growth Trajectory of Sub-Saharan Africa","authors":"Islam Abdelbary","doi":"10.17993/3cemp.2023.120151.226-241","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.226-241","url":null,"abstract":"The research examines why sub-Saharan African (SSA) nations have seen unsatisfactory economic development by assessing the reform programmes implemented during the last three decades. Based on an enhanced neoclassical growth model framework generated from a dynamic panel for 12 African nations from 1995 to 2019 using data from the LSDCV dynamic panel. The findings revealed that insufficient changes, particularly in governance and the institutional environment, had been implemented. Stability in the macroeconomic environment, structural reform, and physical infrastructure are all necessary for an efficient reform process and development of the developing world's growth prospects. Reform implies that it is political, social, and economical simultaneously. Political and economic reform should be carried out in tandem.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"16 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":"131756833","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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