Hybrid Advances最新文献

{"title":"Assisted and hybrid food drying routes: Mechanisms, configurations, and implementation pathways","authors":"Heri Septya Kusuma ,&nbsp;Mahfud Mahfud ,&nbsp;Ganing Irbah Al Lantip ,&nbsp;Debora Engelien Christa Jaya ,&nbsp;Andrew Nosakhare Amenaghawon ,&nbsp;Tonni Agustiono Kurniawan","doi":"10.1016/j.hybadv.2026.100684","DOIUrl":"10.1016/j.hybadv.2026.100684","url":null,"abstract":"<div><div>Assisted and hybrid drying technologies have expanded rapidly as the food-processing literature seeks routes that accelerate moisture removal without sacrificing structural integrity and quality retention. This review synthesizes recent advances in microwave-, infrared-, ultrasound-, vacuum-, and freeze-drying combinations reported between 2021 and 2025, with emphasis on configuration logic, transport modification, kinetic behavior, and preservation-oriented outcomes. The evidence base was constructed from a Scopus-derived retrieval of 1982 records and narrowed to 640 retained articles and reviews through document-type, drying-centrality, target-technology, assisted/hybrid relevance, title-centrality, and off-scope exclusion criteria. Instead of treating microwave, infrared, ultrasound, vacuum, and freeze-drying as isolated dryer labels, this review synthesizes the corpus through four configuration classes: assisted primary-route systems, structural hybrid systems, integrated multi-stage systems, and pretreatment-linked enhancement pathways. The resulting synthesis shows that microwave-centered combinations primarily contribute internalized energy delivery, infrared-centered combinations intensify surface and boundary-zone heat transfer, ultrasound-assisted routes modify matrix permeability and water mobility, vacuum-integrated systems promote pressure-mediated moisture escape under reduced thermal burden, and freeze-drying combinations preserve porous structure while seeking process shortening. These mechanisms explain why assisted and hybrid drying should be evaluated through process-product balance, including kinetic improvement, structural retention, rehydration behavior, bioactive preservation, energy implications, and implementation readiness, rather than through drying-time reduction alone. Despite strong progress, the literature remains constrained by terminological inconsistency, fragmented endpoint selection, uneven mechanistic depth, limited system-wide energy evaluation, and incomplete scale-up validation. Future progress will depend on configuration-based reporting, mechanism-centered interpretation, balanced multi-criteria evaluation, and implementation-aware route design.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"13 ","pages":"Article 100684"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148178216","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}

{"title":"Hybrid IoT–ML-assisted PCM-based battery thermal management system for lithium-ion battery modules: Experimental investigation and thermal optimization","authors":"Ghanshyam Prasad Dubey ,&nbsp;Kasiprasad Mannepalli ,&nbsp;H.K. Sowmya ,&nbsp;M. SivaramKrishnan ,&nbsp;Sabareesaan Kannammal Jayabalan ,&nbsp;Farrukh Bakhritdinov ,&nbsp;Ahmed Shakir Al-Hiti ,&nbsp;Mohammad Khishe","doi":"10.1016/j.hybadv.2026.100681","DOIUrl":"10.1016/j.hybadv.2026.100681","url":null,"abstract":"<div><div>To ensure safe operating temperatures in lithium-ion battery modules, which can enhance the performance, reliability and lifetime of electric vehicles. In this study, a hybrid battery thermal management system (BTMS) incorporating CuO (copper oxide) enhanced paraffin phase change material (PCM) and real-time thermal monitoring and predictive analytics is presented. A 4S lithium-ion battery module consisting of 18650 cells were experimentally tested by repeated charge–discharge cycles. The temperature, voltage, current and state of charge were monitored continuously using an ESP32 based IoT platform and a hybrid XGBoost–ANN model was developed for temperature and phase-state prediction. The proposed model gave the prediction accuracy of 96.7%, RMSE equal to 0.71 °C and R² of 0.945. Optimal thickness and loading of PCM for minimization of thermal overshoot were obtained by optimizing using GA, which was 7 mm and 25% respectively. The CuO modified PCM showed a reduction in the peak battery temperature by 25.5% and an improvement in thermal uniformity during fast charging. The developed system also exhibited stable thermal performance under long cycling conditions and provided for quick detection of thermal anomalies using IoT monitoring. The results show that the suggested hybrid BTMS is a suitable and flexible solution for high power lithium-ion battery applications.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"13 ","pages":"Article 100681"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148241706","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}

{"title":"A detailed review on hybrid energy materials and technologies in healthcare applications: Design strategies, material classes, and functional performance","authors":"V. Saisruthi ,&nbsp;J. Aravind Kumar","doi":"10.1016/j.hybadv.2026.100670","DOIUrl":"10.1016/j.hybadv.2026.100670","url":null,"abstract":"<div><div>The use of hybrid materials in healthcare technologies has been on the rise because of the capability of incorporating organic, inorganic and biological materials into single unified architectures that can give them multifunctional therapeutic and diagnostic capabilities. Although these systems have dramatic clinical benefits, their complicated structures and nanoscale interfaces also present new issues in terms of degradation patterns, chemical leaching, ecological life cycle, and chronic security. The review furnishes a detailed assessment of hybrid healthcare materials in terms of the interface-to-clinic-to-environment viewpoint, the material classifications, design strategies, fabrication schemes, and structure-property-biological functions-environment interactions. Hybrid systems: Major hybrid systems, such as polymer-ceramic systems, polymer-metal nanoparticles hybrids, hybrid hydrogels, biohybrid and living systems, and hybrid bioelectronics, are discussed in terms of applications such as drug delivery, tissue engineering, implants, antimicrobial platforms, and wearable diagnostics. They pay specific focus to the role that interfacial chemistry plays in determining degradation kinetics, release of energy ions and nanoparticles, immune response, and release routes to the environment. The issues of sustainability, life-cycle analysis, nano safety, and regulatory considerations are also critically analyzed to bring out the necessity of the materials' designing and manufacturing in an environmentally responsible manner in addition to clinical performance. This review creates guidelines for how next-generation hybrid healthcare materials can be developed to be both clinically effective and environmentally sustainable.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"13 ","pages":"Article 100670"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148178215","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}

{"title":"Retraction notice to “Cattaneo-Christov heat transfer method on free convective three-dimensional flow with periodic permeability” [Hybrid Advances 11 (2025) 100536]","authors":"Muhammad Usama Arshad,&nbsp;AliB.M. Ali,&nbsp;M. Huzaifa Yaseen,&nbsp;Dana Mohammad Khidhir,&nbsp;Nadia Batool","doi":"10.1016/j.hybadv.2026.100641","DOIUrl":"10.1016/j.hybadv.2026.100641","url":null,"abstract":"","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"13 ","pages":"Article 100641"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148499495","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":"Fabrication of ternary ZnO–Cu2O-chitosan nanocomposite for efficient photocatalytic degradation of organic pollutants","authors":"Pragya Saxena,&nbsp;K.M. Pramila,&nbsp;Pooja Agarwal","doi":"10.1016/j.hybadv.2026.100682","DOIUrl":"10.1016/j.hybadv.2026.100682","url":null,"abstract":"<div><div>Persistent organic contaminants in wastewater pose serious environmental and public health risks due to their toxicity and persistence. In this work, ZnO, Cu₂O, ZnO–Cu₂O, and ZnO–Cu₂O-chitosan (ZCC) photocatalysts were synthesised via a green-assisted co-precipitation route and characterized by XRD, SEM, EDS, HRTEM, and UV-vis DRS. The photocatalytic activity of the synthesised samples was studied by conducting degradation experiments under visible light irradiation using Rhodamine B (RhB), Methyl Orange (MO), and p-nitrophenol (PNP) as pollutants. Degradation studies, TOC analysis, and recycling tests were used for evaluating their degradation kinetics, mineralization ability, and stability respectively. Of the synthesised samples, ZCC nanocomposite showed the highest photocatalytic efficiency with nearly complete degradation of RhB and MO within 160 min and efficient degradation of PNP within 200 min under visible-light illumination. Good removal of TOC and reusability after repeated cycles were also noted. The high efficiency of the ZCC nanocomposite can be attributed to efficient absorption of visible light, effective charge transfer at the ZnO–Cu₂O heterostructure interface, and chitosan's role in promoting adsorption. Overall, the green-synthesised ZCC nanocomposite exhibited excellent visible-light-induced photocatalytic activity and reusability for water purification.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"13 ","pages":"Article 100682"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148178219","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}

{"title":"Programmably transient graphene quantum dot–based hybrid nanocomposites for water treatment: Design, performance, and environmental fate","authors":"Harshita Jain ,&nbsp;Lovepreet Singh","doi":"10.1016/j.hybadv.2026.100686","DOIUrl":"10.1016/j.hybadv.2026.100686","url":null,"abstract":"<div><div>In the recent years, graphene quantum dot (GQD) hybrid nanocomposites have been widely used in water treatment for their photocatalytic and sorption properties but remain insufficiently evaluated for their environmental stability or post-use fate. This review offers a holistic approach to developing and designing transient and biodegradable GQD hybrids based on safe-by-design principles, examining how structures, surface chemistry, and hybrid composition govern not only the intended performance but also the degradation behavior and fate of the environment. The focus of this review is on structure–degradability–performance relationships, by examining how labile connections, biodegradable materials, or biomass-derived GQDs enable controlled disassembly after use. It examines chemical, photonic, and biological degradation pathways and environmental effects on these processes in real-world wastewater and provides a comparative view of the formation, transport, and ecotoxic degradation products in comparison with the standard persistent nanomaterials. With the combined knowledge from material science, environmental chemistry, and sustainability assessment, this review promotes the new approach to design of nanomaterials. Rather than analyzing how well materials function, it seeks to understand what remains after the product is no longer useful, enabling the next generation of green water treatment technologies.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"13 ","pages":"Article 100686"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148241707","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}

{"title":"A hybrid intelligence framework for nonlinear vibration assessment of inclined curved beams with cracks","authors":"Rajakumar Perumal ,&nbsp;J. Rexy ,&nbsp;Mustafa M. Aljumaily ,&nbsp;P. Kavitha ,&nbsp;S. Madhura ,&nbsp;Ashok Ravichandran ,&nbsp;Prases K. Mohanty ,&nbsp;Mukhtar Hamid Abed ,&nbsp;Ahmed Shakir Al-Hiti ,&nbsp;Mohammad Khishe","doi":"10.1016/j.hybadv.2026.100683","DOIUrl":"10.1016/j.hybadv.2026.100683","url":null,"abstract":"<div><div>This study investigates the vibration behaviour of inclined cracked beams by determining the first three natural frequencies using the Differential Quadrature Method (DQM) and Finite Element Analysis (FEA). The results show that FEA provides higher accuracy than DQM in capturing the effects of crack location and depth. To enhance predictive performance, a hybrid ANFIS–PSO–GA model was developed, using the first three FEA-derived natural frequencies as input features. Comparative analysis demonstrates that the ANFIS–PSO model outperforms the ANFIS–GA model, offering superior accuracy and robustness. The proposed approach establishes an effective framework for vibration-based crack detection and structural health monitoring of engineering structures.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"13 ","pages":"Article 100683"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148241708","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}

{"title":"Unified thermodynamic modeling of adsorption and London dispersive surface energy on Rh-modified H-β zeolite: Coupled effects of temperature, metal loading, and specific surface area","authors":"Tayssir Hamieh","doi":"10.1016/j.hybadv.2026.100614","DOIUrl":"10.1016/j.hybadv.2026.100614","url":null,"abstract":"<div><div>A comprehensive thermomechanical and electronic characterization of solvent adsorption on Rh-modified H-β zeolite was performed using inverse gas chromatography. The adsorbed molecular surface area <span><math><mrow><mi>a</mi><mrow><mo>(</mo><mrow><mi>T</mi><mo>,</mo><mi>θ</mi><mo>,</mo><mi>S</mi></mrow><mo>)</mo></mrow></mrow></math></span> and the London dispersive surface energy <span><math><mrow><msubsup><mi>γ</mi><mi>s</mi><mi>d</mi></msubsup><mrow><mo>(</mo><mrow><mi>T</mi><mo>,</mo><mi>θ</mi><mo>,</mo><mi>S</mi></mrow><mo>)</mo></mrow></mrow></math></span> were quantified as functions of temperature, Rh loading (<span><math><mrow><mi>θ</mi></mrow></math></span>), and specific surface area (<span><math><mrow><mi>S</mi></mrow></math></span>). A unified second-order bivariate model was developed, enabling direct extraction of the temperature derivatives, cross-coupling terms, and structural sensitivity coefficients for every system.</div><div>The results show that Rh loading enhances the electronic polarizability density of the zeolite surface, leading to increased <span><math><mrow><msubsup><mi>γ</mi><mi>s</mi><mi>d</mi></msubsup></mrow></math></span> and amplified temperature sensitivity through negative dispersive surface entropy <span><math><mrow><msubsup><mi>ε</mi><mi>s</mi><mi>d</mi></msubsup><mrow><mo>(</mo><mi>θ</mi><mo>)</mo></mrow></mrow></math></span>. Moderate Rh content (0.5–1 wt%) maximizes the adsorbed molecular footprint due to cooperative strengthening of dispersion interactions without excessive pore blocking. In contrast, variations in <span><math><mrow><mi>S</mi></mrow></math></span> act primarily through geometric effects: high <span><math><mrow><mi>S</mi></mrow></math></span> decreases <span><math><mrow><msubsup><mi>γ</mi><mi>s</mi><mi>d</mi></msubsup></mrow></math></span> due to polarizability dilution but significantly increases the adsorbed footprint by reducing confinement and allowing greater molecular deformation with temperature.</div><div>Comparison of Rh and <span><math><mrow><mi>S</mi></mrow></math></span> models demonstrates that adsorption on Rh/H-β-zeolites is governed by two independent mechanisms: electronic enrichment (<span><math><mrow><mi>θ</mi></mrow></math></span>-dependent) and geometric deconfinement (<span><math><mrow><mi>S</mi></mrow></math></span>-dependent). Their interplay determines both interaction strength and conformational freedom of adsorbed molecules. This unified framework provides fundamental insight into adsorption thermodynamics on metal-modified zeolites and offers predictive design rules for optimizing catalysts, sorbents, and surface-engineered porous materials.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"12 ","pages":"Article 100614"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077144","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}

{"title":"Comparative analysis of a hybrid KNN–SVM model versus individual ML techniques for solar power forecasting in Bangladesh","authors":"Md.Mushfiq Us Salehin","doi":"10.1016/j.hybadv.2025.100598","DOIUrl":"10.1016/j.hybadv.2025.100598","url":null,"abstract":"<div><div>Proper power system operation in areas that have a high degree of climatic variability including Bangladesh requires proper solar power forecasting. This paper analyzes a cascade hybrid KNN–SVM model to predict solar power per hour and their performance is compared to standalone K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Long Short-Term Memory (LSTM) models. Under the proposed method, the KNN algorithm is first used to determine the local data neighborhoods, and the second step is the localized regression on an SVM with a radial basis function (RBF) kernel. Root Mean Square Error (RMSE) is used to evaluate model performance on a series of forecasting targets. Hourly Total Global Solar Radiation (HTGSR) and Hourly Total Power Generation (HTPEG) are the least RMSE values of 0.0059 and 0.0058 respectively, which are the lowest for the hybrid KNN–SVM model. Although LSTM works well in situations where there are long temporal dependencies to be learned, the hybrid approach offers a more balanced trade off between instance-based learning and margin optimization, and thus is especially useful in situations where there are high short-term variations. These findings justify the feasibility of scaled-up solar energy integration into the power grid in Bangladesh and it will also help in the sustainable energy planning.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"12 ","pages":"Article 100598"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077146","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}

{"title":"Green synthesis, characterization and antibacterial activity of silver nanoparticles using Acanthus ilicifolius leaf extract","authors":"Md. Touhidul Islam ,&nbsp;Md. Shoebul Islam ,&nbsp;Mizanur Rahman Washim ,&nbsp;A.S.M Tanbirul Haque ,&nbsp;Md. Arifuzzaman ,&nbsp;H.M. Rakibul Islam ,&nbsp;Md. Harunor Rashid ,&nbsp;Yahia Mahmud","doi":"10.1016/j.hybadv.2026.100620","DOIUrl":"10.1016/j.hybadv.2026.100620","url":null,"abstract":"<div><div>The green biosynthesis of silver nanoparticles (AgNPs) using plants has become a promising approach for developing potent agents against fatal pathogens. The present study evaluated the green production of silver nanoparticles (AgNPs) from the extract of <em>Acanthus ilicifolius</em> leaves and their antibacterial properties as a sustainable solution to bacterial challenges in shrimp aquaculture. The synthesis of AgNPs was confirmed after 6 h by monitoring a color change. Ultraviolet–visible spectroscopy, Fourier transform infrared (FTIR) spectroscopy, atomic force microscopy (AFM), and scanning electron microscopy (SEM) with energy-dispersive X-ray (EDX) analysis were employed to characterize the synthesized particles. The UV-vis spectrum of the synthesized silver nanoparticles exhibited a characteristic absorption peak at <em>λ</em>_max = 400 nm, confirmed the successful formation of AgNPs. FTIR analysis indicated potential interactions between silver and bioactive compounds in <em>A. ilicifolius</em> leaf extracts, which may facilitate the formation and stabilization of silver nanoparticles. SEM imaging revealed that the particles were spherical and exhibited no aggregation. AFM topography showed that the AgNPs were spherical, polydisperse particles with an average size of 86.86 nm. The nanoparticles demonstrated stronger antibacterial efficacy against harmful bacteria through disk diffusion assays, with inhibition zones of 15 ± 0.8 mm for <em>Vibrio parahaemolyticus</em> at a 1000 mg/mL concentration, 12 ± 0.4 mm for <em>Pseudoalteromonas ostreae</em> at 250 mg/mL, and 13 ± 0.7 mm for <em>Shewanella khirikhana</em> at 250 mg/mL. <em>Vibrio parahaemolyticus</em> exhibited the greatest vulnerability at this dose, while showing resistance to the antibiotic oxytetracycline at 30 μg. The strong bioactivity of the green produced AgNPs from this plant suggests their application in biomedicine as antibacterial agents in shrimp aquaculture.</div></div>","PeriodicalId":100614,"journal":{"name":"Hybrid Advances","volume":"12 ","pages":"Article 100620"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173021","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}