Song Fuxiang, Ze Lalai A Di Li, Wang Zhili, Ling Yunxiao, Zhao Qianjuan, Liu Bin
{"title":"Strontium oxide-functionalized 3D-printed polycaprolactone/β-tricalcium phosphate nanocomposite scaffolds with osteogenic microenvironment remodeling for accelerated bone regeneration.","authors":"Song Fuxiang, Ze Lalai A Di Li, Wang Zhili, Ling Yunxiao, Zhao Qianjuan, Liu Bin","doi":"10.1016/j.jmbbm.2025.107146","DOIUrl":"10.1016/j.jmbbm.2025.107146","url":null,"abstract":"<p><p>The repair of critical bone defects resulting from trauma, infection, tumors, and congenital malformations poses significant clinical challenges. The combination of medical-grade polycaprolactone (PCL) and β-tricalcium phosphate (β-TCP) is widely investigated for developing synthetic bone graft substitutes, attracting considerable interest in regenerative medicine. However, the material's inherent lack of osteogenic capacity remains a bottleneck to its widespread clinical application. This study synthesized a strontium oxide (SrO)-functionalized three-dimensional (3D)-printed polycaprolactone (PCL)/β-tricalcium phosphate (β-TCP) composite scaffold. Gradient SrO-doped (0-2.0 wt %) 3D printed scaffolds (3D PTSr) were fabricated by melt blending and direct ink writing (DIW) technology, and their physicochemical and biological properties were systematically characterized. Scanning electron microscopy (SEM) showed that the 3D PTSr scaffold had a precisely regulated macroscopic pore structure (pore size ∼ 1 mm) and uniformly distributed Sr element. When the doping amount of SrO was 1.5 wt %, the scaffold exhibited the best comprehensive performance: the surface contact angle was reduced to 64.78° ± 0.54°, and the weight loss rate was 42.83 ± 0.02 % after 4 weeks of in vitro degradation. At the same time, it showed the sustained release characteristics of Sr<sup>2+</sup> for 56 days (cumulative release of 10.42 ppm). Mechanical tests showed that the compressive strength (5.64 ± 0.04 MPa) and tensile strength (2.75 ± 0.16 MPa) were significantly better than the control group (p < 0.05). In vitro biomimetic mineralization experiments confirmed that SrO functionalization facilitated dense calcium-phosphate composite layer formation. In vitro experiments demonstrated that the 3D PTSr1.5 scaffold significantly promoted the proliferation of MC3T3-E1 cells, and its osteogenic differentiation ability was verified by increasing alkaline phosphatase (ALP) activity and calcium nodule formation. Implantation of 3D PTSr1.5 scaffold into rat cranial defects significantly enhanced bone regeneration at 12 weeks versus controls. Histological analysis confirmed substantial regeneration of mature bone tissue and collagen fibers within the defect area. This study reveals the molecular mechanism of SrO functionalization promoting bone regeneration by regulating the synergistic effect of material degradation-ion release-topology, and provides a theoretical basis and technical reserve for the development of next-generation intelligent bone repair materials.</p>","PeriodicalId":94117,"journal":{"name":"Journal of the mechanical behavior of biomedical materials","volume":"172 ","pages":"107146"},"PeriodicalIF":3.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805530","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}
Yannick Yasothan, Mariam Diarra, Jan Neggers, Nicolas Schmitt, Johan Hoefnagels, Elsa Vennat
{"title":"Relevance of mode mixity when contrasted with adhesion variability in dental restorations.","authors":"Yannick Yasothan, Mariam Diarra, Jan Neggers, Nicolas Schmitt, Johan Hoefnagels, Elsa Vennat","doi":"10.1016/j.jmbbm.2025.107227","DOIUrl":"https://doi.org/10.1016/j.jmbbm.2025.107227","url":null,"abstract":"<p><p>Dental repair treatments often involve a bonded ceramic prosthesis, where the bonded interface constitutes a weakness subjected to complex mechanical stresses, leading to mixed interface loading. In such cases, the mixed-mode interface properties are of interest in predicting the ultimate moment of failure, however, their characterization can be laborious. This paper shows that the influence of mode mixity is insignificant with respect to interface adhesion variability, even for interfaces created under laboratory conditions. This result is obtained from miniature mixed-mode bending tests on bonded dental assemblies with varying mode mixity. In situ microscopy images were used, in combination with digital image correlation, to measure the crack propagation, which plays a critical part in computing the interface toughness. Next, a full uncertainty analysis of all error sources provides an upper bound for the expected variability. In contrast, the influence of mode mixity was much smaller than the measured interface toughness variability leading to the conclusion that the actual interface has a spread in toughness which is likely due to surface roughness and chemical variations along the adhesion surface, instead of due to mode mixity. This interface variability is shown to be much larger than the influence of mode mixity, if present at all. Consequently, in the short term, mode mixity analyses have little impact in the understanding of these interfaces, allowing more attention to be given to the source of the interface variability.</p>","PeriodicalId":94117,"journal":{"name":"Journal of the mechanical behavior of biomedical materials","volume":"173 ","pages":"107227"},"PeriodicalIF":3.5,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145310603","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}
María Ferrón-Vivó, Enrique Nadal, José Manuel Navarro-Jiménez, Santiago Gregori, María José Rupérez
{"title":"Physics-Informed Neural Networks (PINNs) for solving the forward and inverse problems of prostate biomechanics.","authors":"María Ferrón-Vivó, Enrique Nadal, José Manuel Navarro-Jiménez, Santiago Gregori, María José Rupérez","doi":"10.1016/j.jmbbm.2025.107225","DOIUrl":"https://doi.org/10.1016/j.jmbbm.2025.107225","url":null,"abstract":"<p><p>This work introduces a novel integration of Physics-Informed Neural Networks (PINNs) with hyperelastic material modeling, employing the Neo-Hookean model to estimate the stiffness of soft tissue organs based on realistic anatomical geometries. Specifically, we propose the modeling of the prostate biomechanics as an initial application of this framework. By combining machine learning with principles of continuum mechanics, the methodology leverages finite element method (FEM) simulations and magnetic resonance imaging (MRI)-derived prostate models to address forward and inverse biomechanical problems. The PINN framework demonstrates the ability to provide accurate material property estimations, requiring limited data while overcoming challenges in data scarcity. This approach marks a significant advancement in patient-specific precision medicine, enabling improved diagnostics, personalized treatment planning, and broader applications in the biomechanical characterization of other soft tissues and organ systems.</p>","PeriodicalId":94117,"journal":{"name":"Journal of the mechanical behavior of biomedical materials","volume":"173 ","pages":"107225"},"PeriodicalIF":3.5,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145305118","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}
Jellis Bollens, Lise Gheysen, Maria Verkade, Janne Stael, Ann Martens, Patrick Segers
{"title":"Mechanical characterization of the equine linea alba and finite element modeling of suture patterns effects on its closure.","authors":"Jellis Bollens, Lise Gheysen, Maria Verkade, Janne Stael, Ann Martens, Patrick Segers","doi":"10.1016/j.jmbbm.2025.107228","DOIUrl":"https://doi.org/10.1016/j.jmbbm.2025.107228","url":null,"abstract":"<p><p>Postoperative incisional complications are common in horses following abdominal surgery, which typically involves an incision through the abdominal wall along the linea alba. The linea alba is a fibrous band running in the craniocaudal direction along the ventral abdomen. This incision is closed with sutures, where the choice of suture pattern and surgical technique has shown to influence the rate of complications. Therefore, this study investigated how different suture patterns and variations influence the stresses in the tissue by combining experimental and computational biomechanics. The mechanical properties of the equine linea alba were first characterized using uniaxial tensile tests. The samples were loaded in either the longitudinal, craniocaudal, or the transversal, laterolateral, direction. Based on the resulting stress-strain data, the Gasser-Ogden-Holzapfel material model was calibrated. This material model was then applied to develop a finite element model of the sutured linea alba, using an interrupted suture pattern. By changing the bite size, the distance from the incision to the suture entry point in the tissue, and the step size, the distance between stitches, their effect on the maximum principal stresses was analyzed. Additionally, a continuous suture pattern was modeled for comparison with the interrupted pattern. The tensile tests revealed stiffer behavior of the linea alba in the longitudinal direction compared to the transversal direction. An increase in bite and step size led to a rise in the maximum principal stresses, with bite size having the largest effect. Switching from an interrupted to a continuous pattern only slightly increased stresses.</p>","PeriodicalId":94117,"journal":{"name":"Journal of the mechanical behavior of biomedical materials","volume":"173 ","pages":"107228"},"PeriodicalIF":3.5,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145310524","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":"Fused filament fabrication manufactured biological scaffolds: An investigation of mechanical properties by using the Taguchi method and machine learning techniques.","authors":"Idil Tartici, Paulo Bartolo","doi":"10.1016/j.jmbbm.2025.107215","DOIUrl":"https://doi.org/10.1016/j.jmbbm.2025.107215","url":null,"abstract":"<p><p>Tissue engineering scaffolds are three-dimensional, biocompatible, biodegradable, and porous structures designed to support cell attachment, proliferation, and differentiation, leading to new tissue formation. Designing optimal scaffolds is complex, requiring the optimisation of various physical, chemical, and biological properties, which are cell- or tissue-dependent. For hard tissue applications such as bone, compressive strength is a critical property and can be adjusted by modifying printing conditions. The mechanical properties of scaffolds produced using different microstructural polymers (semi-crystalline and amorphous) depend on parameters that significantly impact filament extrusion and the crystallisation process. This study investigates the effect of key process parameters (printing temperature, printing speed, and flow) on scaffold mechanical properties using the Taguchi method. Three biocompatible polymers with different microstructures-polycaprolactone, polylactic acid, and polyethylene terephthalate glycol-were examined. Results show a high correlation between process parameters and compressive strength using the Taguchi method, but prediction accuracy remained low. Therefore, four machine learning algorithms-Random Forest (RF), Support Vector Regression (SVR), K-Nearest Neighbor (K-NN), and Gradient Boosting Regression (GBR)-were applied to enhance predictive performance. Notably, the RF and GBR algorithms achieved approximately 99 % prediction accuracy when evaluated on the test dataset.</p>","PeriodicalId":94117,"journal":{"name":"Journal of the mechanical behavior of biomedical materials","volume":"173 ","pages":"107215"},"PeriodicalIF":3.5,"publicationDate":"2025-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145294959","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":"Mechanical characterisation of hand first dorsal interosseous muscle during gripping.","authors":"Simon Vauthier, Christophe Noël, Nicla Settembre, Emmanuel Foltête, Jérôme Chambert, Emmanuelle Jacquet","doi":"10.1016/j.jmbbm.2025.107072","DOIUrl":"https://doi.org/10.1016/j.jmbbm.2025.107072","url":null,"abstract":"<p><p>Prolonged exposure to vibrations from handheld tools can result in various disorders. Understanding how vibrations propagate through the hand is a key area of research involved in preventing these disorders. Within this, it is essential to grasp the mechanical behaviour of hand intrinsic muscles, especially as their properties may change during gripping due to muscular contraction. In order to achieve this objective, a homemade setup was elaborated with a view to measuring the mechanical characteristics of the first dorsal interosseous (FDI) muscle, which is located between the thumb and index finger. The apparatus featured quasi-static indentation, dynamic mechanical analysis (DMA), and shear wave elastography to investigate muscle hyperelastic, viscoelastic, and anisotropic properties, respectively. Measurements were conducted on 27 volunteers with grip instructions ranging from 0 to 40% of their maximal grip strength. The use of repeated measures analysis of variance and the computation of cross-correlations between the proposed measurement techniques unveiled that grip forces significantly modulate the mechanical behaviour of the FDI muscle. In addition, our results emphasised that the FDI muscle stiffened as grip force increased, primarily in the direction longitudinal to muscle fibres. The muscle static stiffness also rose non-linearly with the indenter penetration, thus exhibiting the hyperelastic behaviour of living tissues. The muscle dynamic stiffness was found to be strongly reshaped by vibration frequencies. It remained roughly constant up to around 100 Hz (when no grip), then climbed steeply. Grip force revealed its greatest influence on the muscle dynamic stiffness for vibrations with frequencies ranging from 20 Hz to approximately 300 Hz: the greater the grip force, the higher the dynamic stiffness. Furthermore, the FDI muscle was shown to exhibit a four- to six-fold increase in mechanical power dissipation between 20 Hz and 80 Hz when the handle was gripped at the maximum tested force, in comparison to no grip. Elevating grip forces increased vibration dissipated power within the hand muscles, thereby arguably leading to what are possibly the foremost vibration-induced risks.</p>","PeriodicalId":94117,"journal":{"name":"Journal of the mechanical behavior of biomedical materials","volume":"173 ","pages":"107072"},"PeriodicalIF":3.5,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145287939","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":"An improved trabecular bone model based on Voronoi tessellation.","authors":"Yijun Zhou, P. Isaksson, C. Persson","doi":"10.2139/ssrn.4327657","DOIUrl":"https://doi.org/10.2139/ssrn.4327657","url":null,"abstract":"BACKGROUND AND OBJECTIVE\u0000Accurate numerical and physical models of trabecular bone, correctly representing its complexity and variability, could be highly advantageous in the development of e.g. new bone-anchored implants due to the limited availability of real bone. Several Voronoi tessellation-based porous models have been reported in the literature, attempting to mimic the trabecular bone. However, these models have been limited to lattice rod-like structures, which are only structurally representative of very high-porosity trabecular bone. The objective of this study was to provide an improved model, more representative of trabecular bone of different porosity.\u0000\u0000\u0000METHODS\u0000Boolean operations were utilized to merge scaled Voronoi cells, thereby introducing different structural patterns, controlling porosity and to some extent anisotropy. The mechanical properties of the structures were evaluated using analytical estimations, numerical simulations, and experimental compression tests of 3D-printed versions of the structures. The capacity of the developed models to represent trabecular bone was assessed by comparing some key geometric features with trabecular bone characterized in previous studies.\u0000\u0000\u0000RESULTS\u0000The models gave the possibility to provide pore interconnectivity at relatively low porosities as well as both plate- and rod-like structures. The mechanical properties of the generated models were predictable with numerical simulations as well as an analytical approach. The permeability was found to be better than Sawbones at the same porosity. The models also showed the capability of matching e.g. some vertebral structures for key geometric features.\u0000\u0000\u0000CONCLUSIONS\u0000An improved numerical model for mimicking trabecular bone structures was successfully developed using Voronoi tessellation and Boolean operations. This is expected to benefit both computational and experimental studies by providing a more diverse and representative structure of trabecular bone.","PeriodicalId":94117,"journal":{"name":"Journal of the mechanical behavior of biomedical materials","volume":"62 1","pages":"106172"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91177604","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}
M. Nambiar, Layko Liechti, Harald P. Studer, A. S. Roy, T. Seiler, P. Büchler
{"title":"Patient-specific finite element analysis of human corneal lenticules: An experimental and numerical study.","authors":"M. Nambiar, Layko Liechti, Harald P. Studer, A. S. Roy, T. Seiler, P. Büchler","doi":"10.2139/ssrn.4378257","DOIUrl":"https://doi.org/10.2139/ssrn.4378257","url":null,"abstract":"The number of elective refractive surgeries is constantly increasing due to the drastic increase in myopia prevalence. Since corneal biomechanics are critical to human vision, accurate modeling is essential to improve surgical planning and optimize the results of laser vision correction. In this study, we present a numerical model of the anterior cornea of young patients who are candidates for laser vision correction. Model parameters were determined from uniaxial tests performed on lenticules of patients undergoing refractive surgery by means of lenticule extraction, using patient-specific models of the lenticules. The models also took into account the known orientation of collagen fibers in the tissue, which have an isotropic distribution in the corneal plane, while they are aligned along the corneal curvature and have a low dispersion outside the corneal plane. The model was able to reproduce the experimental data well with only three parameters. These parameters, determined using a realistic fiber distribution, yielded lower values than those reported in the literature. Accurate characterization and modeling of the cornea of young patients is essential to study better refractive surgery for the population undergoing these treatments, to develop in silico models that take corneal biomechanics into account when planning refractive surgery, and to provide a basis for improving visual outcomes in the rapidly growing population undergoing these treatments.","PeriodicalId":94117,"journal":{"name":"Journal of the mechanical behavior of biomedical materials","volume":"147 1","pages":"106141"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44775455","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}
Antony S. K. Kho, Steve Béguin, E. O’Cearbhaill, A. N. Annaidh
{"title":"Mechanical characterisation of commercial artificial skin models.","authors":"Antony S. K. Kho, Steve Béguin, E. O’Cearbhaill, A. N. Annaidh","doi":"10.2139/ssrn.4378258","DOIUrl":"https://doi.org/10.2139/ssrn.4378258","url":null,"abstract":"Understanding of the mechanical properties of skin is crucial in evaluating the performance of skin-interfacing medical devices. Artificial skin models (ASMs) have rapidly gained attention as they are able to overcome the challenges in ethically sourcing consistent and representative ex vivo animal or human tissue models. Although some ASMs have become commercialised, a thorough understanding of the mechanical properties of the skin models is crucial to ensure that they are suitable for the purpose of the study. In the present study, skin and fat layers of ASMs (Simulab®, LifeLike®, SynDaver® and Parafilm®) were mechanically characterised through hardness, needle insertion, tensile and compression testing. Different boundary constraint conditions (minimally and highly constrained) were investigated for needle insertion testing, while anisotropic properties of the skin models were investigated through different specimen orientations during tensile testing. Analysis of variance (ANOVA) tests were performed to compare the mechanical properties between the skin models. Properties of the skin models were compared against literature to determine the suitability of the skin models based on the material property of interest. All skin models offer relatively consistent mechanical performance, providing a solid basis for benchtop evaluation of skin-interfacing medical device performance. Through prioritising models with mechanical properties that are consistent with human skin data, and with limited variance, researchers can use the data presented here as a toolbox to select the most appropriate ASM for their particular application.","PeriodicalId":94117,"journal":{"name":"Journal of the mechanical behavior of biomedical materials","volume":"147 1","pages":"106090"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42559157","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":"Multistep deformation of helical fiber electrospun scaffold toward cardiac patches development.","authors":"A. Alattar, E. Gkouti, A. Czekanski","doi":"10.2139/ssrn.4340642","DOIUrl":"https://doi.org/10.2139/ssrn.4340642","url":null,"abstract":"The scaffolds used for cardiac patches must mimic the viscoelastic behavior of the native tissue, which expands up to high deformation levels of its sedentary size during the systole segment of pumping blood. In our study, we exposed fabricated electrospun samples to repeated multistep tension by applying and removing deformation to mimic the mechanical behavior of helical fibered cardiac scaffolds. Since the fiber-based specimens exhibit viscoelastic behavior, the transient responses to constant deformation caused stress relaxation and stress recovery. However, these transient viscoelastic operations performed at high strain enable unpredictable phenomena, usually hidden behind stress softening and folding (plasticity) phenomena; the material significantly reduces the required stress, and remaining deformation occurs. Thus, by regulating the fabrication (electrospinning parameters) process and preconditioning before setting, the actual viscoelastic behavior of the electrospun scaffolds will be evident, as well as their limitations towards their application to cardiac patches development.","PeriodicalId":94117,"journal":{"name":"Journal of the mechanical behavior of biomedical materials","volume":"147 1","pages":"106157"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42096387","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}