Pub Date : 2023-01-11DOI: 10.1177/87560879221150751
H. Atif, Mobeen Akhtar, Muhammad A. Javed
Roll-coating process plays an important role in many industries for its practical applications such as paint, PVC coated fabrics and plastic industries. There are several roll-to-roll coating methods including forward and reverse roll-coating. However, the roll-over-web coating study of the Rabinowitsch model is presented in this paper. The flow equations for the problem are developed and converted into dimensionless form with the help of dimensionless variables and then finally simplified by a well-known lubrication approximation theory. We employ the regular perturbation technique to get analytical expressions for velocity, pressure, and pressure gradient. Engineering quantities such as power input function and roll-separating force are calculated by Runge-Kutta method. The dimensionless Rabinowitsch parameter effect on velocity, pressure, pressure gradient, load-carrying force, and power input are shown graphically. It is interesting to note that for the shear thickening case, the Rabinowitsch model predicts 35% higher pressure, while in the shear thinning case it predicts 29% less pressure in the nip region when compared to the Newtonian model. The force and power show a decreasing trend on increasing the dimensionless Rabinowitsch parameter a. Moreover, the separation point shifts right of its Newtonian value when fluid behaves like shear thickening and volumetric flow rate increases which causes the coating thickness to increase.
{"title":"Theoretical Analysis of Roll-over-web Coating of a Non-Newtonian Polymer Using Lubrication Approximation Theory","authors":"H. Atif, Mobeen Akhtar, Muhammad A. Javed","doi":"10.1177/87560879221150751","DOIUrl":"https://doi.org/10.1177/87560879221150751","url":null,"abstract":"Roll-coating process plays an important role in many industries for its practical applications such as paint, PVC coated fabrics and plastic industries. There are several roll-to-roll coating methods including forward and reverse roll-coating. However, the roll-over-web coating study of the Rabinowitsch model is presented in this paper. The flow equations for the problem are developed and converted into dimensionless form with the help of dimensionless variables and then finally simplified by a well-known lubrication approximation theory. We employ the regular perturbation technique to get analytical expressions for velocity, pressure, and pressure gradient. Engineering quantities such as power input function and roll-separating force are calculated by Runge-Kutta method. The dimensionless Rabinowitsch parameter effect on velocity, pressure, pressure gradient, load-carrying force, and power input are shown graphically. It is interesting to note that for the shear thickening case, the Rabinowitsch model predicts 35% higher pressure, while in the shear thinning case it predicts 29% less pressure in the nip region when compared to the Newtonian model. The force and power show a decreasing trend on increasing the dimensionless Rabinowitsch parameter a. Moreover, the separation point shifts right of its Newtonian value when fluid behaves like shear thickening and volumetric flow rate increases which causes the coating thickness to increase.","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"28 1","pages":"241 - 262"},"PeriodicalIF":3.1,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91014655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-09DOI: 10.1177/87560879221150764
D. Rokade, P. Patil, Sheetal Nandimath, H. Pol
The primary objective of this research paper is to control the material and process defects in polymer melt extrusion film casting (EFC) process for linear chain architecture polyethylene (PE) resins through polymer blending methodology. Extrusion film casting is a well-known industrially important manufacturing process that is used to manufacture thousands of tons of polymer/plastic films/sheets and coated products. In this research, the necking defect in an EFC process has been studied experimentally for a linear low density polyethylene (LLDPE) resin and attempts have been made to control its necking by blending in a long chain branched (LCB) low density polyethylene (LDPE) resin. The blending methodology is based on the understanding that a LDPE resin displays enhanced resistance to necking as compared to the LLDPE resin. It is found that added LDPE resin enhances necking resistance for the primary LLDPE resin. Further, as the LDPE concentration increases in the blend formulation, the necking is further reduced as compared to pure LLDPE. Analogous to past studies on EFC of linear and long chain branched architecture containing PEs, it is observed that as the LDPE is increased in the blend formulations, the formulations displayed enhanced melt elasticity and extensional strain hardening in rheological studies. It is concluded from this study that polyethylene resins having linear chain architecture can be made amenable to enhanced resistance to necking using appropriate amount of a long chain branched resins. Finally, process defects such as the draw resonance onset could be shifted to higher draw ratios as the LDPE level is increased in the LLDPE-LDPE blend formulation.
{"title":"A rheology and processing study on controlling material and process defects in polymer melt extrusion film casting using polymer blends","authors":"D. Rokade, P. Patil, Sheetal Nandimath, H. Pol","doi":"10.1177/87560879221150764","DOIUrl":"https://doi.org/10.1177/87560879221150764","url":null,"abstract":"The primary objective of this research paper is to control the material and process defects in polymer melt extrusion film casting (EFC) process for linear chain architecture polyethylene (PE) resins through polymer blending methodology. Extrusion film casting is a well-known industrially important manufacturing process that is used to manufacture thousands of tons of polymer/plastic films/sheets and coated products. In this research, the necking defect in an EFC process has been studied experimentally for a linear low density polyethylene (LLDPE) resin and attempts have been made to control its necking by blending in a long chain branched (LCB) low density polyethylene (LDPE) resin. The blending methodology is based on the understanding that a LDPE resin displays enhanced resistance to necking as compared to the LLDPE resin. It is found that added LDPE resin enhances necking resistance for the primary LLDPE resin. Further, as the LDPE concentration increases in the blend formulation, the necking is further reduced as compared to pure LLDPE. Analogous to past studies on EFC of linear and long chain branched architecture containing PEs, it is observed that as the LDPE is increased in the blend formulations, the formulations displayed enhanced melt elasticity and extensional strain hardening in rheological studies. It is concluded from this study that polyethylene resins having linear chain architecture can be made amenable to enhanced resistance to necking using appropriate amount of a long chain branched resins. Finally, process defects such as the draw resonance onset could be shifted to higher draw ratios as the LDPE level is increased in the LLDPE-LDPE blend formulation.","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"176 1","pages":"211 - 240"},"PeriodicalIF":3.1,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89266731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Die 1930er-Jahre gelten als das populistische Jahrzehnt Hollywoods. Regisseure wie Frank Capra, Leo McCarey und John Ford entwerfen in ihren Werken Szenarien geglückter oder gescheiterter politischer Repräsentation, in denen sich demokratische Ideale mit politischer Theologie und amerikanischem Exzeptionalismus verbinden. Die Szenographie dieser Filme hat sich tief in das kulturelle Gedächtnis der USA eingeschrieben und prägt die politische Inszenierung von Repräsentation bis heute. Johannes Pause liest die damals entstandene Bildsprache als eine Typologie populistischer Repräsentation neu und nutzt sie als Folie, um aktuelle politische Tendenzen zu analysieren.
{"title":"Populismus und Kino","authors":"J. Pause","doi":"10.14361/9783839465400","DOIUrl":"https://doi.org/10.14361/9783839465400","url":null,"abstract":"Die 1930er-Jahre gelten als das populistische Jahrzehnt Hollywoods. Regisseure wie Frank Capra, Leo McCarey und John Ford entwerfen in ihren Werken Szenarien geglückter oder gescheiterter politischer Repräsentation, in denen sich demokratische Ideale mit politischer Theologie und amerikanischem Exzeptionalismus verbinden. Die Szenographie dieser Filme hat sich tief in das kulturelle Gedächtnis der USA eingeschrieben und prägt die politische Inszenierung von Repräsentation bis heute. Johannes Pause liest die damals entstandene Bildsprache als eine Typologie populistischer Repräsentation neu und nutzt sie als Folie, um aktuelle politische Tendenzen zu analysieren.","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"60 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83141454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-15DOI: 10.1177/87560879221147989
G. Crossley
No This article is protected by copyright. All rights reserved.
不这篇文章受版权保护。版权所有。
{"title":"From the Editor","authors":"G. Crossley","doi":"10.1177/87560879221147989","DOIUrl":"https://doi.org/10.1177/87560879221147989","url":null,"abstract":"No This article is protected by copyright. All rights reserved.","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"10 1","pages":"3 - 4"},"PeriodicalIF":3.1,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83464753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-15DOI: 10.1177/87560879221147984
Shari Kraber
from
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{"title":"Augmenting one-factor-at-a-time data to build a DOE","authors":"Shari Kraber","doi":"10.1177/87560879221147984","DOIUrl":"https://doi.org/10.1177/87560879221147984","url":null,"abstract":"from","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"58 1","pages":"15 - 18"},"PeriodicalIF":3.1,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75789800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-26DOI: 10.1177/87560879221124172
M. Spalding, Xiaofei Sun, S. Kodjie, Libo Du, T. Womer, N. Uzelac
Maddock mixers are ubiquitous in plastics processing for single-screw extruders and injection molding plasticators due to their low cost to build and their ability to provide a uniform level of dispersive mixing. If the mixer is designed properly, all entering solid polymer fragments and certain types of gels can be trapped and dispersed into the matrix resin. Many mixers that are used commercially, however, provide lower levels of dispersive stress mixing than required by the process and they can degrade polyethylene (PE) resins. This paper will describe the mechanisms that are occurring in a Maddock mixer and develop guidelines for obtaining optimal mixing stresses while mitigating resin degradation.
{"title":"A maddock mixer design that mitigates gels in polyethylene resin film applications","authors":"M. Spalding, Xiaofei Sun, S. Kodjie, Libo Du, T. Womer, N. Uzelac","doi":"10.1177/87560879221124172","DOIUrl":"https://doi.org/10.1177/87560879221124172","url":null,"abstract":"Maddock mixers are ubiquitous in plastics processing for single-screw extruders and injection molding plasticators due to their low cost to build and their ability to provide a uniform level of dispersive mixing. If the mixer is designed properly, all entering solid polymer fragments and certain types of gels can be trapped and dispersed into the matrix resin. Many mixers that are used commercially, however, provide lower levels of dispersive stress mixing than required by the process and they can degrade polyethylene (PE) resins. This paper will describe the mechanisms that are occurring in a Maddock mixer and develop guidelines for obtaining optimal mixing stresses while mitigating resin degradation.","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"4 1","pages":"174 - 189"},"PeriodicalIF":3.1,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87043193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-19DOI: 10.1177/87560879221117533
M. Mughees, M. Sajid, M. Sadiq, H. Shahzad, N. Ali
Coating is a process that improves and enhances life, quality and efficiency of the web. Common industrial adhesive application to board and paper, metal foils polymer coatings, photographic film emulsions, recording films, textile fabrics, paints, coating on food items, medicine, catalogues are common examples. There are many fluids that are used as coatings. This paper analyses blade coating using both plane as well as exponential geometries along with slip and magnetohydrodynamics effects for a Carreau fluid model. To study the blade coating phenomenon, slip is introduced at the blade surface and a magnetic field is applied normal to the fluid flow. The LAT (Lubrication approximation theory) has been introduced to convert governing partial differential equations into a simpler form and a numerical solution is obtained by using shooting method. The significant physical quantities like volumetric flow rate, pressure, velocity, load, coated film thickness and pressure gradient are discussed in detail. The effects of power law index, slip parameter, Weissenberg number and Hartmann number on these physical quantities are presented. The observations are depicted in tabular data and in the graphical form as well. The Weissenberg number and Hartmann number play a very important role in controlling the load and coated film thickness.
{"title":"Blade coating analysis of carreau fluid model with Magnetohydrodynamics and slip effects","authors":"M. Mughees, M. Sajid, M. Sadiq, H. Shahzad, N. Ali","doi":"10.1177/87560879221117533","DOIUrl":"https://doi.org/10.1177/87560879221117533","url":null,"abstract":"Coating is a process that improves and enhances life, quality and efficiency of the web. Common industrial adhesive application to board and paper, metal foils polymer coatings, photographic film emulsions, recording films, textile fabrics, paints, coating on food items, medicine, catalogues are common examples. There are many fluids that are used as coatings. This paper analyses blade coating using both plane as well as exponential geometries along with slip and magnetohydrodynamics effects for a Carreau fluid model. To study the blade coating phenomenon, slip is introduced at the blade surface and a magnetic field is applied normal to the fluid flow. The LAT (Lubrication approximation theory) has been introduced to convert governing partial differential equations into a simpler form and a numerical solution is obtained by using shooting method. The significant physical quantities like volumetric flow rate, pressure, velocity, load, coated film thickness and pressure gradient are discussed in detail. The effects of power law index, slip parameter, Weissenberg number and Hartmann number on these physical quantities are presented. The observations are depicted in tabular data and in the graphical form as well. The Weissenberg number and Hartmann number play a very important role in controlling the load and coated film thickness.","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"30 1","pages":"151 - 173"},"PeriodicalIF":3.1,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76453199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1177/87560879221134858
Shari Kraber
Randomization is essential for success with planned experimentation (DOE) to protect factor effects against bias by lurking variables. For example, consider the 8-run, two-level factorial design shown in Table 1. It lays out the low ( ) and high (+) coded levels of each factor in standard, not random, order. Notice that factor C changes level only once throughout the experiment—first being set at the low (minus) level for four runs, followed by the remaining four runs set at the high (plus) level. Now, let’s say that the humidity in the room increases throughout the day—affecting the measured response. Since the DOE runs are not randomized, the change in humidity biases the calculated effect of the nonrandomized factor C. Therefore, the effect of factor C includes the humidity change – it is no longer purely due to the change from low to high. This will cause analysis problems!
{"title":"Randomization done right","authors":"Shari Kraber","doi":"10.1177/87560879221134858","DOIUrl":"https://doi.org/10.1177/87560879221134858","url":null,"abstract":"Randomization is essential for success with planned experimentation (DOE) to protect factor effects against bias by lurking variables. For example, consider the 8-run, two-level factorial design shown in Table 1. It lays out the low ( ) and high (+) coded levels of each factor in standard, not random, order. Notice that factor C changes level only once throughout the experiment—first being set at the low (minus) level for four runs, followed by the remaining four runs set at the high (plus) level. Now, let’s say that the humidity in the room increases throughout the day—affecting the measured response. Since the DOE runs are not randomized, the change in humidity biases the calculated effect of the nonrandomized factor C. Therefore, the effect of factor C includes the humidity change – it is no longer purely due to the change from low to high. This will cause analysis problems!","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"77 1","pages":"499 - 501"},"PeriodicalIF":3.1,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76643435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1177/87560879221131869
J. Wagner
: Accelerometry data enables scientists to extract personal digital features that can benefit precision health decision making. Existing methods in accelerometry data analysis typically begin with discretizing summary single-axis counts by certain fixed cutoffs into several activity categories, such as Vigorous, Moderate, Light, and Sedentary. One well-known limitation is that the chosen cutoffs have often been validated with restricted settings, and thus they cannot be generalizable across populations, devices, or studies. In this paper, we develop a data-driven approach to overcome this bot-tleneck in the analysis of activity data, in which we holistically summarize a subject ’ s activity pro-file using Occupation-Time curves (OTCs). Being a functional predictor, OTC describes the percentage of time spent at or above a continuum of activity count levels. We develop multi-step adaptive learning algorithms to perform a supervised learning via a scale-functional regression model that con-tains OTC as the functional predictor of interest as well as other covariates. Our learning algorithm first incorporates a hybrid approach of fused lasso for grouping and Hidden Markov Model for change-point detection, and then executes a few refinement learning steps to yield activity windows of interest. We demonstrate good performances of this learning algorithm using simulations as well as real world data analysis to assess the influence of physical activity on biological aging. Abstract: The of Abstract: Principal component analysis (PCA) is one of the most popular methods for dimension reduction. In light of the rapidly increasing large-scale data in federated ecosystems, the traditional PCA method is often not applicable due to privacy protection considerations and large computational burden. Fast PCA algorithms have been proposed to lower the computational cost but cannot handle federated data. Distributed PCA algorithms have been developed to handle federated data but are not computationally efficient when data at each site are very large. In this paper, we propose the FAst DIstributed (FADI) PCA method which applies fast PCA to site specific data using multiple random sketches and aggregates the results across sites. We perform a non-asymptotic We perform studies and show that We apply Abstract: Sequential process monitoring has broad applications. In practice, process character-istics to monitor often have a high dimensionality, partly due to the fast progress in data acquisition techniques. Thus, statistical process control (SPC) research for monitoring high dimensional processes is in rapid development in recent years. Most existing SPC charts for monitoring high-dimensional processes are designed for conventional cases in which the in-control (IC) process observations at different time points are assumed to be independent and identically distributed. In practice, however, serial correlation almost always exists in the observed sequential data, and the
{"title":"From the Editor","authors":"J. Wagner","doi":"10.1177/87560879221131869","DOIUrl":"https://doi.org/10.1177/87560879221131869","url":null,"abstract":": Accelerometry data enables scientists to extract personal digital features that can benefit precision health decision making. Existing methods in accelerometry data analysis typically begin with discretizing summary single-axis counts by certain fixed cutoffs into several activity categories, such as Vigorous, Moderate, Light, and Sedentary. One well-known limitation is that the chosen cutoffs have often been validated with restricted settings, and thus they cannot be generalizable across populations, devices, or studies. In this paper, we develop a data-driven approach to overcome this bot-tleneck in the analysis of activity data, in which we holistically summarize a subject ’ s activity pro-file using Occupation-Time curves (OTCs). Being a functional predictor, OTC describes the percentage of time spent at or above a continuum of activity count levels. We develop multi-step adaptive learning algorithms to perform a supervised learning via a scale-functional regression model that con-tains OTC as the functional predictor of interest as well as other covariates. Our learning algorithm first incorporates a hybrid approach of fused lasso for grouping and Hidden Markov Model for change-point detection, and then executes a few refinement learning steps to yield activity windows of interest. We demonstrate good performances of this learning algorithm using simulations as well as real world data analysis to assess the influence of physical activity on biological aging. Abstract: The of Abstract: Principal component analysis (PCA) is one of the most popular methods for dimension reduction. In light of the rapidly increasing large-scale data in federated ecosystems, the traditional PCA method is often not applicable due to privacy protection considerations and large computational burden. Fast PCA algorithms have been proposed to lower the computational cost but cannot handle federated data. Distributed PCA algorithms have been developed to handle federated data but are not computationally efficient when data at each site are very large. In this paper, we propose the FAst DIstributed (FADI) PCA method which applies fast PCA to site specific data using multiple random sketches and aggregates the results across sites. We perform a non-asymptotic We perform studies and show that We apply Abstract: Sequential process monitoring has broad applications. In practice, process character-istics to monitor often have a high dimensionality, partly due to the fast progress in data acquisition techniques. Thus, statistical process control (SPC) research for monitoring high dimensional processes is in rapid development in recent years. Most existing SPC charts for monitoring high-dimensional processes are designed for conventional cases in which the in-control (IC) process observations at different time points are assumed to be independent and identically distributed. In practice, however, serial correlation almost always exists in the observed sequential data, and the","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"26 1","pages":"491 - 492"},"PeriodicalIF":3.1,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87152638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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