Chemical Engineering Journal Advances最新文献

{"title":"Developing a machine learning-based methodology for optimal hyperparameter determination—A mathematical modeling of high-pressure and high-temperature drilling fluid behavior","authors":"Luis H. Quitian-Ardila ,&nbsp;Yamid J. Garcia-Blanco ,&nbsp;Angel De J. Rivera ,&nbsp;Raquel S. Schimicoscki ,&nbsp;Muhammad Nadeem ,&nbsp;Oriana Palma Calabokis ,&nbsp;Vladimir Ballesteros-Ballesteros ,&nbsp;Admilson T. Franco","doi":"10.1016/j.ceja.2024.100663","DOIUrl":"10.1016/j.ceja.2024.100663","url":null,"abstract":"<div><div>Drilling fluids exhibit complex rheological behavior due to a non-linear response to shear rate variations and high sensitivity to changes in temperature, time, and pressure conditions. The prediction of drilling fluid rheological behavior is crucial for the success of oil well drilling, and it directly impacts the fluid's performance. The dataset used in this study was obtained from extensive rheometric tests of water-based and olefin-based drilling fluids in steady-state flow curves. The optimal hyperparameters were guided by performance metrics and compared with alternative models such as Power-law and Herschel-Bulkley rheological models. Different configurations with different hidden layers, using neuron sequences of 16, 32, and 64, learning rates of 0.001 and 0.01, and the ReLU activation function were used to improve the model's performance. Additionally, the paper delved into the impact of the number of training epochs on the accuracy of shear stress predictions. Finding this equilibrium was identified as a crucial factor in achieving precise results. The neural network model demonstrated remarkable accuracy when using the ML-C3 configuration, with MAE values of 0.535 and <em>R²</em> of 0.987 in predicting the steady-state flow curves of drilling fluids, establishing itself as a powerful tool for forecasting the rheological behavior of these fluids under diverse operational conditions. The present research significantly contributes to the field of drilling fluid rheology and provides valuable insights for optimizing drilling operations in HPHT environments.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"20 ","pages":"Article 100663"},"PeriodicalIF":5.5,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extraction of fermentable sugars and phenolic compounds from Colombian cashew (Anacardium occidentale) nut shells using subcritical water technology: Response surface methodology and chemical profiling","authors":"Luis J. Cruz-Reina ,&nbsp;Jader Rodríguez-Cortina ,&nbsp;Fabrice Vaillant ,&nbsp;Israel Herrera-Orozco ,&nbsp;Chiara Carazzone ,&nbsp;Rocío Sierra","doi":"10.1016/j.ceja.2024.100661","DOIUrl":"10.1016/j.ceja.2024.100661","url":null,"abstract":"<div><div>Subcritical water extraction (SCWE) is a novel technology that uses water at high pressure and temperature to recover bioactive compounds. While promising, further studies are needed to fully understand the potential of SCWE when applied to cashew nut shells (CNS), which are rich in phenolic compounds, carbohydrates, and other natural substances. This study aimed to evaluate SCWE applied to CNS from Vichada, Colombia, using a surface response methodology and to perform a comprehensive chemical profiling of the recovered extracts and the remaining solids. A Box-Behnken experimental design was employed to study the extraction process, focusing on variables such as temperature, pressure, and solid-to-solvent ratio. The liquid extracts were analyzed using ultra-high-performance liquid chromatography and gas chromatography coupled with mass spectrometry, while the extracted solids were characterized using Fourier-transform infrared spectroscopy and scanning electron microscopy. The liquid extracts revealed a variety of compounds, including xylose, glucose, arabinose, long-chain phenols, organic acids, and furans. Extraction conditions significantly influenced the distribution of these compounds, with the optimal conditions for extracting fermentable sugars and organic acids identified as 180 °C, 15 bar, and a 20:1 mL/g solid-to-solvent ratio. The resulting hydrochar comprised lignin (58.82 ± 3.44 %) and structural carbohydrates (approximately 40 %), showing thermal stability up to 200 °C, O<img>H functional groups on its surface, and a textured morphology under microscopy. These by-products have potential applications in various fields. This study demonstrates that SCWE effectively recovers valuable compounds from CNS for use in fermentation processes, suggesting that the resulting hydrochar could be utilized in soil amendment, adsorption, or energy applications. SCWE is highlighted as an innovative and environmentally friendly technology for managing cashew residual biomass, promoting sustainability and circularity in this production chain.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"20 ","pages":"Article 100661"},"PeriodicalIF":5.5,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impairment of joint tetracycline and copper oxide nanoparticle exposure on activated sludge","authors":"Rongshan He ,&nbsp;Shan Ding ,&nbsp;Danyang Liu ,&nbsp;Zhi Yang ,&nbsp;Rui Liu ,&nbsp;Li Cao ,&nbsp;Qiang He ,&nbsp;Hainan Ai","doi":"10.1016/j.ceja.2024.100652","DOIUrl":"10.1016/j.ceja.2024.100652","url":null,"abstract":"<div><div>The increasing usage of two emerging contaminants (i.e., tetracycline (TET) and copper oxide nanoparticles (CuO<img>NPs)) has raised wide concerns about their potential impacts on the efficiency of wastewater treatment. However, the joint effects of TET and CuO<img>NPs on activated sludge processes have rarely been documented. This study investigated the sludge characteristics and bioactivities under both individual and joint exposure to TET (1 mg/L) and CuO<img>NPs (2 mg/L) for 60 days. The results demonstrated that both individual and joint exposures of TET and CuO<img>NPs deteriorated the flocculation ability and dewatering of sludge by inducing non-filamentous bacteria. The joint exposure showed higher effects on sludge when compared with individual exposure. Sludge characterization analysis attributed this deterioration partly to the increased extracellular polymeric substance (EPS) secretion (especially loose-bound EPS). In addition, exposure to CuO<img>NPs would result in an inhibition of total nitrogen removal due to impairment of the denitrification process (i.e., nitrate reductase, nitrous reductase, and electron-transfer associated enzyme), but not for TET. The inhibition of nitrogen removal could be exacerbated when simultaneously exposed to CuO<img>NPs and TET. 16S rRNA analysis further revealed that the long-term joint exposure to TET and CuO<img>NPs resulted in a significant decrease in microbial community richness, diversity, and associated functional bacteria abundance. The results of this study suggest that joint exposure to TET and CuO<img>NPs results in the deterioration of sludge function efficiency.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"20 ","pages":"Article 100652"},"PeriodicalIF":5.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142560717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility of vanadium ion adsorption/desorption using nickel–aluminum complex hydroxides with different molar ratios","authors":"Fumihiko Ogata ,&nbsp;Yuya Teranishi ,&nbsp;Noriaki Nagai ,&nbsp;Yugo Uematsu ,&nbsp;Megumu Toda ,&nbsp;Masashi Otani ,&nbsp;Chalermpong Saenjum ,&nbsp;Naohito Kawasaki","doi":"10.1016/j.ceja.2024.100656","DOIUrl":"10.1016/j.ceja.2024.100656","url":null,"abstract":"<div><div>Herein, metal complex hydroxides containing nickel (Ni) and aluminum (Al) at different molar ratios (Ni:Al = 1:1 (NA11), 1:2 (NA12), 2:1 (NA21), 3:1 (NA31), and 4:1 (NA41)) were prepared. Scanning electron microscopy images, X-ray diffraction patterns, specific surface area, number of hydroxyl groups, and pH_pzc were evaluated. Further, the adsorption capacity of vanadium ions was assessed, with NA21 showing a high potential to adsorb vanadium ions from the aqueous phase (177.5 mg/g). In addition, the effects of various factors, including pH, contact time, initial concentration, and temperature, on the adsorption of vanadium ions were demonstrated in this study using NA21. The optimal pH value for adsorbing vanadium ions was 5.0. Adsorption isotherms and kinetic data were fitted to a pseudo-second-order model (correlation coefficient: 0.958) and a Freundlich model (correlation coefficient: 0.930–0.982), respectively. This study elucidated that a part of the adsorption mechanism of vanadium was related to ion exchange and characteristics of NA21 surface. Moreover, NA21 showed capability to selectively adsorb vanadium ions from binary solution system containing chloride, nitrate, or sulfate ions. Vanadium ions adsorbed onto NA21 were more easily desorbed by a sodium hydroxide solution than a sodium sulfate solution. NA21 demonstrated consistent performance over at least three adsorption and desorption cycles under experimental conditions of this study. These findings provided valuable insights into the recovery of vanadium ions from aqueous media via adsorption/desorption treatment using NA21.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"20 ","pages":"Article 100656"},"PeriodicalIF":5.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Silver oxide integrated ionic polymer composite for wearable sensing and water purification","authors":"Priya Khanduri ,&nbsp;Varij Panwar ,&nbsp;Pradeep Kumar Sharma ,&nbsp;Gopinathan Anoop ,&nbsp;Sanjeev Kumar ,&nbsp;Sukho Park","doi":"10.1016/j.ceja.2024.100651","DOIUrl":"10.1016/j.ceja.2024.100651","url":null,"abstract":"<div><div>Integrating metal nanoparticles (NPs) with ionic polymer blends/composites showed immense interest for their potential in wearable sensors, soft robotic arms, flexible man-machine interfaces of biomedical devices, and water purification applications. However, conventional NPs attached ionic polymer composites exhibit limitations such as low sensitivity (ΔR/R), low total dissolved solids (TDS) reduction, and low phosphate (PO4-P) removal rate. Herein, ionic polymer composites (IPCs) using flower-shaped silver oxide (Ag₂O) attached Poly (vinylidene fluoride) (PVDF)/ polyvinylpyrrolidone (PVP)/ionic liquid (IL) were designed and developed for wearable sensing and water purification. The IPCs demonstrated remarkably high ΔR/R values of 50, 10, and 3.5 corresponding to the wrist movement of 50°, finger movement of 180°, and chin movements respectively. The Ag₂O-based IPC recorded a significant reduction of TDS from sewage water from 3405 ppm to 1035 ppm, elevated the dissolved oxygen (DO) levels in the sewage water from 1.2 mg/l to 6.8 mg/l, and removed approximately 87.38 % phosphate from sewage water. Due to the uniform distribution of Ag₂O within pores of IPC, it demonstrated enhanced performance for wearable and wastewater treatment applications.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"20 ","pages":"Article 100651"},"PeriodicalIF":5.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prospects and challenges of energy storage materials: A comprehensive review","authors":"Md Mir Shakib Ahmed ,&nbsp;Md. Jahid Hasan ,&nbsp;Md. Shakil Chowdhury ,&nbsp;Md Khaledur Rahman ,&nbsp;Md Saiful Islam ,&nbsp;Md Shakhawat Hossain ,&nbsp;Md. Aminul Islam ,&nbsp;Nayem Hossain ,&nbsp;Md Hosne Mobarak","doi":"10.1016/j.ceja.2024.100657","DOIUrl":"10.1016/j.ceja.2024.100657","url":null,"abstract":"<div><div>Energy storage technologies, which are based on natural principles and developed via rigorous academic study, are essential for sustainable energy solutions. Mechanical systems such as flywheel, pumped hydro, and compressed air storage rely on inertia and gravitational potential to store and release energy. On the other hand, electrochemical systems, which include different types of batteries, effectively store and release energy by utilizing materials like metal hydrides and transition metal oxides. These materials are known for their high energy densities and reversible chemical properties. Although they have shown potential, issues such as high costs, limited availability of materials, and negative environmental effects continue to remain. This requires the development of sustainable and scalable production methods and presents difficulties in integrating with current infrastructure. To tackle these problems, a multidisciplinary strategy is necessary. This approach should involve the creation of effective materials, the implementation of sustainable manufacturing methods, and the establishment of comprehensive policy frameworks. Enhanced global collaboration and increased investment in research and development are crucial as well. Through promoting collaboration among scientists, engineers, policymakers, and industry stakeholders, we can address existing constraints, improve energy efficiency, and advance the ability of the energy sector to withstand challenges. This will enable the development of a strong, environmentally friendly energy future that can meet global energy needs in a sustainable and fair manner.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"20 ","pages":"Article 100657"},"PeriodicalIF":5.5,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiation defect formation and effect on mechanical property in octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine investigated by molecular dynamics method","authors":"Weiyi Li ,&nbsp;Tao Wang ,&nbsp;Wanxiao Guo ,&nbsp;Miaosen Yu ,&nbsp;Jintao Wang ,&nbsp;Zongxiang Ma ,&nbsp;Ning Gao","doi":"10.1016/j.ceja.2024.100653","DOIUrl":"10.1016/j.ceja.2024.100653","url":null,"abstract":"<div><div>Energetic materials (EMs) are generally used in various conditions including under the neutron irradiation environment. To understand the radiation damages and related effects on mechanical property of EMs is important and necessary for their further applications under radiation conditions. In this paper, the displacement cascades are firstly simulated with molecular dynamics method in an octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine (HMX) with the maximum energy of a primary knock-on atom (PKA) up to around 5 keV. The bond breaking, formation of free radicals, new gas molecules and interstitial and vacancy clusters, are all observed after displacement cascades, which can be used to explain the change of color and release of gas after irradiation as reported in experiments. Furthermore, the effect of above defect formation on mechanical property is calculated based on tensile stress simulations on damaged HMX. The results clearly show the appearance of strong stress gradient around defect formation region, resulting in lower external stress needed to deform the system. Thus, the radiation softening can be explored according to these results, same to experimental reports. Therefore, all these results indicate the radiation damages induced by energetic particles should be considered seriously for further application of energetic materials in nuclear conditions.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"20 ","pages":"Article 100653"},"PeriodicalIF":5.5,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the ring-opening metathesis polymerization process by kinetic Monte Carlo simulation","authors":"Ákos Szabó,&nbsp;Béla Iván,&nbsp;Ervin Kovács","doi":"10.1016/j.ceja.2024.100654","DOIUrl":"10.1016/j.ceja.2024.100654","url":null,"abstract":"<div><div>Investigating the kinetics of polymerization reactions is a powerful tool to obtain information for the engineering design of such processes. It provides insights into how the relative rates of elementary reactions which influence both the kinetics of the reactions and thus characteristics of the products as well, particularly when the reaction parameters of these reactions are unknown. Among polymerization processes, ring-opening metathesis polymerization (ROMP) has gained broad academic and industrial interest, due to its mild conditions to obtain a wide range of polymer products. In this study, kinetic Monte Carlo simulation was applied to reveal the effect of the elementary reactions of ROMP on the kinetics and product distribution. Both the propagation and the cross-metathesis reactions were considered, with the latter leading to the formation of various types of macrospecies whose population levels were also monitored. Relevant tendencies were observed regarding how the variations in the reaction parameters of the elementary reactions of this polymerization process, such as reaction probabilities, monomer addition method, catalyst-to-monomer ratio, and reaction time, affect the kinetics of the polymerization process and the product distributions. These variations also influence the key macromolecular parameters of the resulting polymeric materials, including chain length distribution (CLD), population levels, and polymer functionalities. The results of this study indicate that this simulation technique is a valuable tool for mapping the tailoring possibilities of modifying the reaction parameters of ROMP to achieve desired properties. These properties include number average molecular weight, polydispersity, chain end functionality, and macrocycle-free products.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"20 ","pages":"Article 100654"},"PeriodicalIF":5.5,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced syngas production through dry reforming of methane with Ni/CeZrO2 catalyst: Kinetic parameter investigation and CO2-rich feed simulation","authors":"Intan Clarissa Sophiana ,&nbsp;Soen Steven ,&nbsp;Rawiyah Khairunida’ Shalihah ,&nbsp;Ferry Iskandar ,&nbsp;Hary Devianto ,&nbsp;Elvi Restiawaty ,&nbsp;Norikazu Nishiyama ,&nbsp;Yogi Wibisono Budhi","doi":"10.1016/j.ceja.2024.100655","DOIUrl":"10.1016/j.ceja.2024.100655","url":null,"abstract":"<div><div>Natuna's natural gas reserve, which contains 70 %–v CO₂ and 30 %–v CH_4, opens a prospective method for producing syngas through the dry reforming of methane (DRM). This study used the equation and determination of kinetic parameters in a fixed-bed reactor to develop the operating conditions for the DRM process. The catalyst used was 10 %Ni/CeZrO₂ and followed the Langmuir-Hinshelwood mechanism, with CH₄ dissociation (activation of C–H bonds) on the Ni catalyst as the rate-determining step. According to the results, the simulation and experimental data have error values of ≤ 5 % and RMSE &lt; 0.046. This indicates that the equation and kinetic parameters used in the simulation are valid for reactor modeling. Steady-state modeling was then conducted using a 1D quasihomogeneous model. The feed composition of CO₂:CH₄ = 70:30 (Natuna gas field composition) has optimized results with temperature 700 °C, CH₄ conversion at 92 %, CO₂ conversion at 28 %, and H₂/CO ratio 1.42, and carbon formation at 7.1 mgC/gcat. This study also found that a higher CO₂:CH₄ feed ratio could reduce carbon formation during DRM.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"20 ","pages":"Article 100655"},"PeriodicalIF":5.5,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning-enabled techno-economic uncertainty analysis of sustainable aviation fuel production pathways","authors":"Chao Wu ,&nbsp;Yuxi Wang ,&nbsp;Ling Tao","doi":"10.1016/j.ceja.2024.100650","DOIUrl":"10.1016/j.ceja.2024.100650","url":null,"abstract":"<div><div>Stochastic techno-economic analysis (TEA) is pivotal in assessing the financial viability and risks inherent in biofuel production processes. In this method, the Monte Carlo approach entails the random sampling of input variables and multiple runs of the TEA model to create probability distributions of economic metrics. However, traditional Monte Carlo TEA, reliant on iterative calls to process simulation, is resource-intensive and time-consuming, hindering widespread adoption. To address these challenges, we present an accessible framework that harnesses machine learning methods to estimate techno-economic uncertainty in biofuel production pathways. Our approach streamlines the conventional simulation process by automating dataset generation and machine learning model training. These trained models enable rapid predictions of minimum fuel selling prices at any scale, accommodating randomized input variables based on their defined distributions. We illustrate the efficacy of our framework through examples from sustainable aviation fuel production pathways. Our research entails identifying the primary factors influencing uncertainties in minimum selling prices, exploring the synergistic effects of pathway inputs, and assessing how price variability is impacted by financial, technical, and supply chain factors. These examples underscore the framework's effectiveness in addressing breakeven price uncertainties in biofuel production across diverse input scenarios.</div></div>","PeriodicalId":9749,"journal":{"name":"Chemical Engineering Journal Advances","volume":"20 ","pages":"Article 100650"},"PeriodicalIF":5.5,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}