P. Mehrotra, Rishabh Sharma, Nikita Rajeshkumar Bagrecha, Dr. Bhushan Thakare
Blockchain technology has gained significant attention after the introduction of bitcoin in 2008. It is a decentralized ledger useful in exchanging digital currency. Blockchain is a continuous growing list of records known as blocks managed by a peer to peer distributed network. The records in the blocks of blockchain are immutable and permanent which is well needed in the bank transactions. Blockchain technology is a peer-to-peer distributed structure that could be used to overcome the issues in the traditional banking system. This paper will demonstrate how we can use blockchain in the banking sector so that the burden of the centralized database is transferred to a decentralized network. It will also demonstrate the different algorithms that are used for the system like RSA and Verhoeff algorithm to generate the keys and to verify the user respectively.
{"title":"A High Performance Blockchain Platform for Indian Banking System","authors":"P. Mehrotra, Rishabh Sharma, Nikita Rajeshkumar Bagrecha, Dr. Bhushan Thakare","doi":"10.2139/ssrn.3645437","DOIUrl":"https://doi.org/10.2139/ssrn.3645437","url":null,"abstract":"Blockchain technology has gained significant attention after the introduction of bitcoin in 2008. It is a decentralized ledger useful in exchanging digital currency. Blockchain is a continuous growing list of records known as blocks managed by a peer to peer distributed network. The records in the blocks of blockchain are immutable and permanent which is well needed in the bank transactions. Blockchain technology is a peer-to-peer distributed structure that could be used to overcome the issues in the traditional banking system. This paper will demonstrate how we can use blockchain in the banking sector so that the burden of the centralized database is transferred to a decentralized network. It will also demonstrate the different algorithms that are used for the system like RSA and Verhoeff algorithm to generate the keys and to verify the user respectively.","PeriodicalId":102139,"journal":{"name":"Other Topics Engineering Research eJournal","volume":"9 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122104645","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}
B. Chu, Jin-mei He, Zhen Wang, Lan-lan Liu, Xiao-li Li, Chang-Sheng Chen, M. Tu
Dermal substitutes are widely used for wound repair and show a good advantage in skin regeneration. Vascularization is an important index for evaluating dermal materials. Rapid vascularization can provide channels for nutritional support and excretion and create an intervention pathway for the immune system in the early stage of wound healing. In this study, we synthesized a proangiogenic self-assembling peptide nanofiber hydrogel and combined it with UV-cured gelatin to form a series of 3D-printed scaffolds. As the percentage of peptide increased, the microstructure of the scaffolds transformed to nanoscale, and the water absorption rate and weight loss ratio in phosphate-buffered saline (PBS) buffer also increased. Mouse fibroblasts (L929) and human umbilical vein endothelial cells (HUVECs) adhered and proliferated on 3D-printed scaffolds, and a vascular model test showed that many connected tubes were present in the HUVECs after 8 h of culture with material extract, indicating the promising proangiogenic capability of these 3D-printed scaffolds. An in vivo study demonstrated that the 3D-printed scaffold combined with 20% peptide hydrogel had the best collagenous fiber structure and fastest repair cycles in dermis regeneration. The results indicate that our proangiogenic scaffold constitutes a promising therapeutic option for high-quality skin regeneration.
{"title":"Proangiogenic Peptide Nanofiber Hydrogel/3D-Printed Scaffold to Promote Dermal Regeneration","authors":"B. Chu, Jin-mei He, Zhen Wang, Lan-lan Liu, Xiao-li Li, Chang-Sheng Chen, M. Tu","doi":"10.2139/ssrn.3577304","DOIUrl":"https://doi.org/10.2139/ssrn.3577304","url":null,"abstract":"Dermal substitutes are widely used for wound repair and show a good advantage in skin regeneration. Vascularization is an important index for evaluating dermal materials. Rapid vascularization can provide channels for nutritional support and excretion and create an intervention pathway for the immune system in the early stage of wound healing. In this study, we synthesized a proangiogenic self-assembling peptide nanofiber hydrogel and combined it with UV-cured gelatin to form a series of 3D-printed scaffolds. As the percentage of peptide increased, the microstructure of the scaffolds transformed to nanoscale, and the water absorption rate and weight loss ratio in phosphate-buffered saline (PBS) buffer also increased. Mouse fibroblasts (L929) and human umbilical vein endothelial cells (HUVECs) adhered and proliferated on 3D-printed scaffolds, and a vascular model test showed that many connected tubes were present in the HUVECs after 8 h of culture with material extract, indicating the promising proangiogenic capability of these 3D-printed scaffolds. An in vivo study demonstrated that the 3D-printed scaffold combined with 20% peptide hydrogel had the best collagenous fiber structure and fastest repair cycles in dermis regeneration. The results indicate that our proangiogenic scaffold constitutes a promising therapeutic option for high-quality skin regeneration.","PeriodicalId":102139,"journal":{"name":"Other Topics Engineering Research eJournal","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124886950","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}
Frank M. Fossen, Levent Neyse, M. Johannesson, Anna Dreber
The 2 D:4D digit ratio, the ratio of the length of the 2nd digit to the length of the 4th digit, is often considered a proxy for testosterone exposure in utero. A recent study by Nicolaou et al. (2018) reported an association between the lefthand 2D:4D and self-employment (in a sample of about 1,000 adults). In this preregistered study we replicate these results on a new and larger sample of about 2,600 adults from the German Socioeconomic Panel-Innovation Sample (SOEP-IS). We find no statistically significant associations between 2D:4D and self-employment and thus cannot confirm the findings of Nicolaou et al. (2018) for left-hand 2D:4D. Our estimated 99.5% confidence intervals are within an about 2 percentage points change in self-employment for a one standard deviation change in the 2D:4D when we pool results for men and women (the association does not differ significantly between men and women). Even larger studies are needed to rule out smaller effect sizes.
{"title":"2D:4D and Self-Employment Using SOEP Data: A Replication Study","authors":"Frank M. Fossen, Levent Neyse, M. Johannesson, Anna Dreber","doi":"10.2139/ssrn.3583293","DOIUrl":"https://doi.org/10.2139/ssrn.3583293","url":null,"abstract":"The 2 D:4D digit ratio, the ratio of the length of the 2nd digit to the length of the 4th digit, is often considered a proxy for testosterone exposure in utero. A recent study by Nicolaou et al. (2018) reported an association between the lefthand 2D:4D and self-employment (in a sample of about 1,000 adults). In this preregistered study we replicate these results on a new and larger sample of about 2,600 adults from the German Socioeconomic Panel-Innovation Sample (SOEP-IS). We find no statistically significant associations between 2D:4D and self-employment and thus cannot confirm the findings of Nicolaou et al. (2018) for left-hand 2D:4D. Our estimated 99.5% confidence intervals are within an about 2 percentage points change in self-employment for a one standard deviation change in the 2D:4D when we pool results for men and women (the association does not differ significantly between men and women). Even larger studies are needed to rule out smaller effect sizes.","PeriodicalId":102139,"journal":{"name":"Other Topics Engineering Research eJournal","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124064719","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}
We present a method for simulating yield curve dynamics by learning the curve distribution from historical data using Artificial Neural Networks (ANN) in a two step procedure. The first step involves an autoencoder which performs a quantization of curve moves, generating a set of representative curve shapes. The second step learns a probability distribution over the quantized shapes, conditional on the current curve and the shift of a single pivot tenor point. This allows to simulate the curve by first drawing the the pivot tenor shift and then the shape of the curve move from its dynamic distribution. A suitable choice of regularizers allows to keep the simulation statistics close to the original data.
{"title":"Yield Curve Quantization and Simulation with Neural Networks","authors":"G. Benedetti","doi":"10.2139/ssrn.3577555","DOIUrl":"https://doi.org/10.2139/ssrn.3577555","url":null,"abstract":"We present a method for simulating yield curve dynamics by learning the curve distribution from historical data using Artificial Neural Networks (ANN) in a two step procedure. The first step involves an autoencoder which performs a quantization of curve moves, generating a set of representative curve shapes. The second step learns a probability distribution over the quantized shapes, conditional on the current curve and the shift of a single pivot tenor point. This allows to simulate the curve by first drawing the the pivot tenor shift and then the shape of the curve move from its dynamic distribution. A suitable choice of regularizers allows to keep the simulation statistics close to the original data.","PeriodicalId":102139,"journal":{"name":"Other Topics Engineering Research eJournal","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121053139","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}
This article is based on modeling studies conducted in response to requests from Yale University, the Yale New Haven Hospital and the State of Connecticut during the early weeks of the SARS-CoV-2 outbreak. Much of this work relied on scratch modeling, that is, models created from scratch in real time. Applications included recommending event crowd-size restrictions, hospital surge planning, timing decisions (when to stop and possibly restart university activities), and scenario analyses to assess the impacts of alternative interventions, among other problems. This paper documents the problems faced, models developed, and advice offered during real-time response to the COVID-19 crisis at the local level. Results include a simple formula for the maximum size of an event that ensures no infected persons are present with 99% probability; the determination that existing ICU capacity was insufficient for COVID-19 arrivals which led to creating a large dedicated COVID-19 negative pressure ICU; and a new epidemic model that showed the infeasibility of the university hosting normal spring and summer events, that lockdown-like stay-at-home and social distancing restrictions without additional public health action would only delay transmission and enable a rebound after restrictions are lifted, and that aggressive community screening to rapidly detect and isolate infected persons could end the outbreak.
{"title":"COVID-19 Scratch Models To Support Local Decisions","authors":"E. H. Kaplan","doi":"10.2139/ssrn.3577867","DOIUrl":"https://doi.org/10.2139/ssrn.3577867","url":null,"abstract":"This article is based on modeling studies conducted in response to requests from Yale University, the Yale New Haven Hospital and the State of Connecticut during the early weeks of the SARS-CoV-2 outbreak. Much of this work relied on scratch modeling, that is, models created from scratch in real time. Applications included recommending event crowd-size restrictions, hospital surge planning, timing decisions (when to stop and possibly restart university activities), and scenario analyses to assess the impacts of alternative interventions, among other problems. This paper documents the problems faced, models developed, and advice offered during real-time response to the COVID-19 crisis at the local level. Results include a simple formula for the maximum size of an event that ensures no infected persons are present with 99% probability; the determination that existing ICU capacity was insufficient for COVID-19 arrivals which led to creating a \u0000large dedicated COVID-19 negative pressure ICU; and a new epidemic model that showed the infeasibility of the university hosting normal spring and summer events, that lockdown-like stay-at-home and social distancing restrictions without additional public health action would only delay transmission and enable a rebound after restrictions are lifted, and that aggressive community screening to rapidly detect and isolate infected persons could end the outbreak.","PeriodicalId":102139,"journal":{"name":"Other Topics Engineering Research eJournal","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126534395","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}
Xiangfen Li, Zechao Tao, Baoyi Hao, Qing-qiang Kong, Zhuo Liu, Zhanjun Liu, Q. Guo, Lang Liu
Abstract Reduced graphene oxide (rGO) bubbles containing sphere-like pores inside are prepared using polystyrene (PS) micro-balls as template. rGO bubbles exhibit excellent electromagnetic interference (EMI) shielding effectiveness in frequency range of 8–12 GHz. The shielding can be attributed to absorption mechanism which is a synergistic effect of conductive rGO sheets and repeated reflection inside the sphere-like pores. Furthermore, EMI shielding effectiveness can be tuned by heat-treated temperature, pore size and ratio. The EMI shielding effectiveness of rGO bubbles can reach to 54 dB with 5 μm pores of 25 wt% content as well as thermally annealed at 800 °C.
{"title":"Reduced Graphene Oxide Bubbles with Tunable Electromagnetic Shielding Effectiveness","authors":"Xiangfen Li, Zechao Tao, Baoyi Hao, Qing-qiang Kong, Zhuo Liu, Zhanjun Liu, Q. Guo, Lang Liu","doi":"10.2139/ssrn.3567471","DOIUrl":"https://doi.org/10.2139/ssrn.3567471","url":null,"abstract":"Abstract Reduced graphene oxide (rGO) bubbles containing sphere-like pores inside are prepared using polystyrene (PS) micro-balls as template. rGO bubbles exhibit excellent electromagnetic interference (EMI) shielding effectiveness in frequency range of 8–12 GHz. The shielding can be attributed to absorption mechanism which is a synergistic effect of conductive rGO sheets and repeated reflection inside the sphere-like pores. Furthermore, EMI shielding effectiveness can be tuned by heat-treated temperature, pore size and ratio. The EMI shielding effectiveness of rGO bubbles can reach to 54 dB with 5 μm pores of 25 wt% content as well as thermally annealed at 800 °C.","PeriodicalId":102139,"journal":{"name":"Other Topics Engineering Research eJournal","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131610170","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}
In recent years deep learning has been broadly used for process monitoring, fault diagnosis, pattern recognition, and image classification. In industrial systems there are many process systems that require ore advanced control technologies. Filling error control is an important but challenging problem in most production systems for a wide spectrum of liquid products. The major challenges behind this control problem include uncontrollable ambient factors, highly diversified products in modern manufacturing plants, limited budget for complex feedback control schemes, etc. To devise a low cost solution that is suitable massive replication, this paper proposes a data-driven approach for filling error control by using Just-In-Time Deep Belief Networks (JIT-DBN). The proposed method aims to construct a local DBN model based on historical data to suggest stopping time for the filling process by collectively considering the fluid viscosity, filling temperature and many other affecting factors. Based on the proposed method, a systematic framework for implementation is further devised. The proposed framework leverages the advantages of edge computing and cloud platforms to present a scalable solution with guaranteed computation efficiency and excellent adaptiveness to highly diversified products. In the validation experiments, both the proposed method and the proposed implementation framework are tested in the real-world filling production line for massive production. It is found that the proposed method can effectively reduce the mean filling errors and the filling uncertainties.
{"title":"A Novel Methodology for Process Monitoring by Using Deep Belief Network","authors":"Jonathan Antoine, John Lundberg","doi":"10.2139/ssrn.3604720","DOIUrl":"https://doi.org/10.2139/ssrn.3604720","url":null,"abstract":"In recent years deep learning has been broadly used for process monitoring, fault diagnosis, pattern recognition, and image classification. In industrial systems there are many process systems that require ore advanced control technologies. Filling error control is an important but challenging problem in most production systems for a wide spectrum of liquid products. The major challenges behind this control problem include uncontrollable ambient factors, highly diversified products in modern manufacturing plants, limited budget for complex feedback control schemes, etc. To devise a low cost solution that is suitable massive replication, this paper proposes a data-driven approach for filling error control by using Just-In-Time Deep Belief Networks (JIT-DBN). The proposed method aims to construct a local DBN model based on historical data to suggest stopping time for the filling process by collectively considering the fluid viscosity, filling temperature and many other affecting factors. Based on the proposed method, a systematic framework for implementation is further devised. The proposed framework leverages the advantages of edge computing and cloud platforms to present a scalable solution with guaranteed computation efficiency and excellent adaptiveness to highly diversified products. In the validation experiments, both the proposed method and the proposed implementation framework are tested in the real-world filling production line for massive production. It is found that the proposed method can effectively reduce the mean filling errors and the filling uncertainties.","PeriodicalId":102139,"journal":{"name":"Other Topics Engineering Research eJournal","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132585080","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}
The word of robotics was taken from the word robot, which was introduced to the public by Czech writer Karel Capek. The study of robotics is the fast rising field of research. Robotic study is a part of computer science that involve mechanical engineering, electrical engineering, computer science engineering. The study of robotics concerned with the design and development of robots and use of robots. Robotics carries together so many and very different engineering areas and skills. The technology of robotics is used to develop machines that can substitute for humans and replicate human actions. Robots can be used in many situations and for lots of purposes. Robots can take on any form but some are made to resemble humans in appearance.
{"title":"A Review on Research Output Analysis on Robotic Technology","authors":"Himanshu Sirohi","doi":"10.2139/ssrn.3573258","DOIUrl":"https://doi.org/10.2139/ssrn.3573258","url":null,"abstract":"The word of robotics was taken from the word robot, which was introduced to the public by Czech writer Karel Capek. The study of robotics is the fast rising field of research. Robotic study is a part of computer science that involve mechanical engineering, electrical engineering, computer science engineering. The study of robotics concerned with the design and development of robots and use of robots. Robotics carries together so many and very different engineering areas and skills. The technology of robotics is used to develop machines that can substitute for humans and replicate human actions. Robots can be used in many situations and for lots of purposes. Robots can take on any form but some are made to resemble humans in appearance.","PeriodicalId":102139,"journal":{"name":"Other Topics Engineering Research eJournal","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124110981","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}
ABSTRACT- Mobile WSN (wireless sensor network) is a collection of spatially dispersed and dedicated sensors node. The sensor node in sensor network is able for performing a variety of processing, for gathering sensor information and for the communication among more than one other connected node in the network, it is also called mote. A sensor node have a small wireless device which have a limited battery life, limited transmission rage and own storage size. This property of sensors that means mobility can have a very powerfully use for increasing the target coverage quality. There are two main limitations is mobile sensor network (MSN). The first one is Target coverage (TCOV) and the second one is Network connectivity (TCON). This paper demonstrates the drawbacks of the Mobile Sensor Deployment (MSD) and find out how to set up mobile sensors with minimum movement.
{"title":"Target Coverage and Network Connectivity with Minimum Movement Using Mobile Wireless Sensor Networks","authors":"Himanshu Sirohi","doi":"10.2139/ssrn.3571897","DOIUrl":"https://doi.org/10.2139/ssrn.3571897","url":null,"abstract":"ABSTRACT- Mobile WSN (wireless sensor network) is a collection of spatially dispersed and dedicated sensors node. The sensor node in sensor network is able for performing a variety of processing, for gathering sensor information and for the communication among more than one other connected node in the network, it is also called mote. A sensor node have a small wireless device which have a limited battery life, limited transmission rage and own storage size. This property of sensors that means mobility can have a very powerfully use for increasing the target coverage quality. There are two main limitations is mobile sensor network (MSN). The first one is Target coverage (TCOV) and the second one is Network connectivity (TCON). This paper demonstrates the drawbacks of the Mobile Sensor Deployment (MSD) and find out how to set up mobile sensors with minimum movement.","PeriodicalId":102139,"journal":{"name":"Other Topics Engineering Research eJournal","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133820904","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}
We use a dataset of 12 million residential mortgages to investigate the loan default behavior in several European countries. We model the default occurrence as a function of borrower characteristics, loan-specific variables, and local economic conditions. We compare the performance of a set of machine learning algorithms relative to the logistic regression, finding that they perform significantly better in providing predictions. The most important variables in explaining loan default are the interest rate and the local economic characteristics. The existence of relevant geographical heterogeneity in the variable importance points at the need for regionally tailored risk-assessment policies in Europe.
{"title":"Forecasting Loan Default in Europe with Machine Learning","authors":"Luca Barbaglia, S. Manzan, Elisa Tosetti","doi":"10.2139/ssrn.3605449","DOIUrl":"https://doi.org/10.2139/ssrn.3605449","url":null,"abstract":"\u0000 We use a dataset of 12 million residential mortgages to investigate the loan default behavior in several European countries. We model the default occurrence as a function of borrower characteristics, loan-specific variables, and local economic conditions. We compare the performance of a set of machine learning algorithms relative to the logistic regression, finding that they perform significantly better in providing predictions. The most important variables in explaining loan default are the interest rate and the local economic characteristics. The existence of relevant geographical heterogeneity in the variable importance points at the need for regionally tailored risk-assessment policies in Europe.","PeriodicalId":102139,"journal":{"name":"Other Topics Engineering Research eJournal","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126706542","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：