Biomedical Physics & Engineering Express最新文献

{"title":"A modified head loss model with a correction factor for the human femoral artery.","authors":"Debismita Nayak, Radhika T S L","doi":"10.1088/2057-1976/ae6344","DOIUrl":"10.1088/2057-1976/ae6344","url":null,"abstract":"<p><p>Understanding the hemodynamics of the human circulatory system is crucial for diagnosing and treating cardiovascular diseases. To this end, one of the critical vascular analyses involves determining head loss, or pressure drop, in arteries, as it provides substantial insight into vascular health and efficiency. Thus, this work presents an assessment of head loss in the human femoral artery, one of the major blood vessels in the lower body, comprising the common femoral artery, the deep femoral artery, and the superficial femoral artery, which extends to the popliteal artery. Our study modeled this arterial system as a network of elastic circular pipes and, using the proposed theories, calculated the pressurized diameters and head loss in each segment, accounting for minor losses arising from vessel curvature and geometric variations within the arterial network. Because the proposed theories rely on certain assumptions, the validity of the theoretical predictions was assessed by simulating a two-dimensional computational fluid dynamics (CFD) model of an idealized human femoral artery using available clinical data for the model parameters. Pressurized diameters were computed using both the CFD model and the theoretical formulation, and the results were statistically compared. The results showed a statistically significant difference between the two, underscoring the importance of accurately capturing the elastic behavior of the arterial wall. Accordingly, a modified pressurized diameter formulation incorporating a segment-specific correction factor was proposed. Findings showed that this correction factor is comparatively high for the deep femoral arterial segment.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760818","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":"Numerical investigation of neutron beam characteristics for the treatment of deep-seated brain tumour by boron neutron capture therapy.","authors":"Yuri Morizane, Kosuke Yamaji, Shingo Tamaki, Sachie Kusaka, Isao Murata","doi":"10.1088/2057-1976/ae58b0","DOIUrl":"10.1088/2057-1976/ae58b0","url":null,"abstract":"<p><p><i>Objective.</i>This study aims to investigate neutron beam characteristics for Boron Neutron Capture Therapy (BNCT) targeting brain tumours and to clarify the physical limitations of single-field irradiation for treatment of deep-seated tumours.<i>Approach.</i>Using Monte Carlo simulations with a voxelated Snyder head phantom, we systematically evaluated the impact of three key characteristics-neutron energy (mono-beam), beam radius, and current-to-flux ratio (<i>J</i>/Φ) -on dose distributions.<i>Results.</i>The analysis identified the 1-10 keV energy range as optimal for depth penetration. Increasing the<i>J</i>/Φ was found to linearly enhance the tumour dose by improving beam directionality. However, a critical trade-off was observed with beam radius.<i>Significance.</i>These findings demonstrate the fundamental limits of single-field BNCT for deep-seated malignancies and highlight the necessity of multiple-irradiation strategies such as each beam should shape narrow, high-<i>J</i>/Φ epithermal beams. By establishing a database of each beam characteristics provides the essential physical foundation for designing future personalised and multi-beam treatment plans.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147580028","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":"Enhancing CNN regressors with contour encoding and self-supervision for improved 3D/2D x-ray to CT registration in spinal surgery navigation.","authors":"Zhancheng Zhang, Xiyuan Wang, Jiayang Lu, Xiaoqing Luo, Baocheng Zhang","doi":"10.1088/2057-1976/ae6345","DOIUrl":"10.1088/2057-1976/ae6345","url":null,"abstract":"<p><p>With advances in deep learning, regression-based methods have shown promising results in 3D/2D medical image registration. However, strict intraoperative radiation dose constraints produce low-dose x-ray images with severe blur and reduced contrast, significantly degrading registration accuracy and limiting precise image-guided spinal interventions. We propose the Contour Encoding Regressor (CER), a novel end-to-end CNN framework that extracts highly discriminative features directly from binary contour masks of intraoperative x-rays without any restrictions on contour length, shape, or morphology. These contour features are efficiently encoded by a dedicated module and seamlessly fused into the regression pipeline to improve robustness against image degradation. To further enhance pose estimation, CER employs a dual-branch architecture that explicitly decouples rotational and translational parameters, thereby reducing mutual interference and improving overall accuracy. In addition, a self-supervised fine-tuning strategy with a tailored multi-component loss function is introduced to adapt the model to blurred low-dose conditions and minimize residual errors. On low-dose x-ray images, CER achieves a mean target registration error of 1.39 mm-a clinically acceptable threshold-while outperforming state-of-the-art methods in accuracy and enabling real-time performance (0.03-0.06 s per frame on clinically accessible GPUs). These improvements meet the stringent precision and speed requirements of intraoperative navigation, offering strong potential to enhance surgical safety and outcomes in minimally invasive spinal procedures.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760755","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":"Retrieving of the melanosome fraction of human epidermis<i>in vivo</i>from skin chromatic coordinates.","authors":"Freddy Narea-Jiménez, Alexis Vázquez-Villa, César Arriaga-Arriaga, Alina Santillan-Guzmán, Anthony D Cho","doi":"10.1088/2057-1976/ae6458","DOIUrl":"10.1088/2057-1976/ae6458","url":null,"abstract":"<p><p>In this study, we present a quantitative characterization of skin pigmentation through the analysis of 1005 diffuse reflectance spectra associated with Fitzpatrick skin phototypes (I-VI) of Hispanic individuals. We employed complementary metrics, including the individual typology angle (ITA), the melanosome volume fraction (fme), the structural similarity index measure (SSIM), and the percentage of spectral overlap. Our findings revealed that the average ITA values decreased progressively from(51.76±6.40)∘in phototype I to(-33.63±15.91)∘in phototype VI, confirming the inverse correlation between the typological angle and the degree of skin pigmentation. The volumetric fraction of melanosomes (fme) - derived from a quadratic relationship with the chromaticity coordinate (L∗) and exhibiting a RMSE of 0.0016 - ranged from(1.85±0.46)%in phototype I to(10.83±2.19)%phototype VI. These results provide a quantitative estimate of intra-phototype variability, which becomes more pronounced in darker skin tones. Furthermore, SSIM values (0.42 to 0.94) and spectral overlap (0.00% to 52.05%) confirmed high structural similarity between adjacent groups (especially between phototypes IV and V) and total divergence between extreme phototypes (I vs VI). Notably, intermediate SSIM values (0.74-0.86) were observed between second-adjacent phototypes (e.g. III vs V), suggesting a gradual spectral continuity across the scale. Finally, the total melanin content (<i>µ</i>g mg^-1) was determined fromfme, achieving a correlation coefficient of<i>ρ</i> = 0.996, highlighting the chromatic heterogeneity and morphological stability essential for clinical and technological applications in diverse populations.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760877","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":"Dosimetric evaluation of simultaneous multi-energy (2-18 MV) and intensity optimization for IMRT and VMAT.","authors":"Aliasghar Rohani, Beibei Guo, Rui Zhang","doi":"10.1088/2057-1976/ae6343","DOIUrl":"10.1088/2057-1976/ae6343","url":null,"abstract":"<p><p><i>Objective.</i>This study aimed to develop and evaluate a framework for the simultaneous optimization of beam fluence and multiple photon energies beyond dual-energy configurations for intensity modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT), with the goal of improving treatment plan quality and normal tissue sparing.<i>Approach.</i>An Elekta Versa HD linear accelerator (linac) was modeled using the BEAMnrc/EGSnrc Monte Carlo platform to simulate 2 MV, 4 MV, and 6 MV photon beams, complemented with measured beam data for 10 MV and 18 MV. A custom MATLAB-based framework was developed to perform simultaneous optimization of energy and fluence, allowing energy weighting of individual beamlets. A total of 12 various energy configurations including single (SE), dual (DE), triple (TE), and quadruple (QE)-energy combinations for IMRT and VMAT were generated for thirteen prostate cancer patients. Plans were evaluated using dose-volume histograms, homogeneity index, conformity index, and organ-at-risk (OAR) dose metrics.<i>Main results.</i>Gamma analysis confirmed the high degree of agreement between measured and simulated beam data, which validated our Monte Carlo linac model. Target coverage remained comparable across all energy configurations. Compared with 6 SE, multi-energy (ME) IMRT and VMAT achieved superior OAR sparing, with the greatest benefits for bladder and rectum in the 5-40 Gy range. TE-IMRT reduced bladder and rectal mean doses by up to 1.6 Gy, with V10 reductions of ∼8%; on average, mean doses were reduced by 0.9 Gy (<i>p</i>= 0.001) and 1.0 Gy (<i>p</i>= 0.001). For VMAT, the 6&18 DE-VMAT plan yielded the largest sparing, lowering bladder and rectal mean doses by ∼1.0 Gy. Relative to 10 SE, all ME plans achieved equal or lower OAR doses, with TE-IMRT and 6&18 DE-VMAT showing the most consistent benefit, reducing mean doses to the bladder, rectum, right femoral head, and left femoral head by up to 1.26, 0.77, 0.6, and 0.55 Gy, respectively.<i>Significance.</i>This study presents the first assessment of the feasibility and potential clinical value of simultaneous optimization of beam intensity and more than two photon energies for IMRT and VMAT plans, producing optimized ME fluence maps that require subsequent conversion into clinically deliverable treatment plans. The findings demonstrate that ME optimization can enhance OAR sparing without compromising target coverage, supporting its promise for future clinical application.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760812","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":"Time-domain semi-analytical modeling of photoacoustic wave generation in layered human skin with explicit basal-layer segmentation.","authors":"Sangmo Kang","doi":"10.1088/2057-1976/ae6347","DOIUrl":"https://doi.org/10.1088/2057-1976/ae6347","url":null,"abstract":"<p><p>The basal layer (BL) of human skin is an ultrathin, melanin-rich absorber that plays a dominant role in near-surface optical absorption and photoacoustic (PA) wave generation. In many PA skin models, the epidermis is treated as a single effective layer to reduce anatomical complexity and computational cost; however, the impact of explicit BL resolution on time-domain PA waveforms remains unclear. This study aims at determining whether the BL must be modeled as an independent ultrathin absorber for quantitatively reliable time-domain PA analysis and reduced-layer representations of human skin. Because skin is a strongly scattering stratified medium, optical transport is diffusion-dominated. To address this question, a coupled optical-thermal-acoustic semi-analytical framework is applied to a physiologically representative nine-layer skin model and to reduced configurations with and without an explicitly resolved BL. Under excitation at a visible wavelength (λe=532 nm), increasing BL absorption raises the peak PA pressure by more than a factor of three, demonstrating the strong sensitivity of the PA amplitude to this localized source. Variations in BL thickness modify the amplitude and temporal-spectral characteristics of the PA waveform. Reduced models that preserve the BL reproduce the full-model response, whereas merging the BL into the epidermis leads to attenuation and temporal broadening due to source delocalization. These results show that preserving the spatial localization of the dominant absorber, rather than the anatomical layer count itself, is the governing physical criterion for model reduction and is essential for physically consistent time-domain PA analysis and inverse reconstruction in layered biological tissues.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":"12 2","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147810386","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":"Frequency-induced fatigue in electrically stimulated sheep hindlimb muscles.","authors":"Berta Mateu-Yus, Ana García-Maestre, Aracelys García-Moreno, Antoni Ivorra","doi":"10.1088/2057-1976/ae6346","DOIUrl":"10.1088/2057-1976/ae6346","url":null,"abstract":"<p><p>Functional electrical stimulation (FES) is an effective technique for restoring motor function in patients with paralysis. The early onset of muscle fatigue remains a major drawback, limiting its widespread clinical adoption. It is hypothesized that the high frequencies used in FES may be the primary factor determining muscle fatigue onset. Yet few studies have assessed the dependence of muscle fatigue on stimulation frequency. In particular, there is a need for a systematic evaluation across a continuous range of frequencies. Muscle fatigue dependence on stimulation frequency was assessed in anesthetized sheep, with the aim of modeling human musculature with physiological fidelity in the absence of potentially interfering reflexes. Following surgical muscle exposure, symmetrical 250 + 250<i>µ</i>s biphasic pulse trains were delivered via hook wire intramuscular monopolar electrodes to either the tibialis cranialis or the extensor digitorum lateralis muscle, and isometric contraction forces were recorded. Eleven frequencies were assayed from 5 Hz to 100 Hz, with rest periods of over 10 min between trials. The extracted parameters included peak force, time to peak force, time to fatigue (defined as a 25% force drop), and the slope of force decline at fatigue. Additionally, muscle contraction ripple was assessed. Both muscles exhibited increasing fatigue with frequency, revealing three distinct frequency ranges. Fatigue rate was very slow below 15-20 Hz, gradually increased between ∼20-50 Hz, and raised sharply above 50-75 Hz reaching fatigue in a few seconds. Remarkably, fatigue rate only started to increase substantially at 10-20 Hz. Force fusion increased with stimulation frequency, with both muscles showing fused contractions from approximately 12 Hz. The minimal fatigue observed at frequencies corresponding to natural motor unit firing rates suggests that the high frequencies used in FES are a key driver of fatigue.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760782","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":"TF-MCL: Time-frequency fusion and multi-domain cross-loss for self-supervised depression detection.","authors":"Lixuan Zhao, Chenyang Xu, Wenqiang Li, Bo Wang, Rong-Xing Wei, Qing-Hao Meng","doi":"10.1088/2057-1976/ae6783","DOIUrl":"https://doi.org/10.1088/2057-1976/ae6783","url":null,"abstract":"<p><p>In recent years, there has been a notable increase in the use of supervised detection methods of major depressive disorder (MDD) based on electroencephalogram (EEG) signals. However, the process of labelling MDD remains challenging. As a self-supervised learning method, contrastive learning could address the shortcomings of supervised learning methods, which are unduly reliant on labels in the context of MDD detection. However, existing contrastive learning methods are not specifically designed to characterize the time-frequency distribution of EEG signals, and their capacity to acquire low-semantic data representations is still inadequate for MDD detection tasks. To address the problem of contrastive learning method, we propose a time-frequency fusion and multi-domain cross-loss (TF-MCL) model for MDD detection. TF-MCL generates time-frequency hybrid representations through the use of a fusion mapping head (FMH), which efficiently remaps time-frequency domain information to the fusion domain, and thus can effectively enhance the model's capacity to synthesize timefrequency information. Moreover, by optimizing the multi-domain cross-loss function, the distribution of the representations in the time-frequency domain and the fusion domain is reconstructed, thereby improving the model's capacity to acquire fusion representations. We evaluated the performance of our model on the publicly available datasets MODMA and PRED+CT and show a significant improvement in accuracy, outperforming the existing stateof-the-art (SOTA) method by 5.87% and 9.96%, respectively.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147810388","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":"Enhanced deception detection through integrated EEG, respiration, and reaction signal analysis using optimized computational methods.","authors":"Ali Ekhlasi, Ali Motie-Nasrabadi, Hessam Ahmadi","doi":"10.1088/2057-1976/ae58af","DOIUrl":"10.1088/2057-1976/ae58af","url":null,"abstract":"<p><p>Deception, defined as an act that intentionally conceals the truth, has been increasingly studied using neurophysiological and computational approaches. This study evaluates whether combining Electroencephalography (EEG), respiration, and reaction signals can enhance deception detection. A dataset of 30 subjects who participated in the Guilt Knowledge Test (GKT) was analyzed, with subjects divided into guilty and innocent groups. From these signals recorded during the GKT, 71 morphological-temporal, frequency, and wavelet features were extracted. The classification approach utilized the K-Nearest Neighbors (KNN) algorithm and validation methods, with the optimal feature subset determined through a modified Cuckoo Optimization Algorithm (COA). Classification results revealed an accuracy rate of 93.3% using a selected set of 27 features. Additionally, when exposed to specific images, a statistically significant difference (P < 0.05) in reaction time was observed between guilty and innocent subjects. These findings are consistent with, and in some cases comparable to, previous studies that employed psychophysiological signals and EEG, while offering the additional advantage of multimodal integration with feature-level interpretability.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147580111","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":"Electrospun PCL/PLGA-biogenic hydroxyapatite nanofibers with bioactive additives: physicochemical characterization and<i>in vitro</i>mineralization.","authors":"Diana Julaidy Patty, Yusril Yusuf, Ika Dewi Ana","doi":"10.1088/2057-1976/ae5f9f","DOIUrl":"10.1088/2057-1976/ae5f9f","url":null,"abstract":"<p><p>This study developed electrospun hybrid nanofiber scaffolds based on polycaprolactone (PCL)/poly(lactic-co-glycolic acid) (PLGA) incorporated with biogenic hydroxyapatite (HAp) and bioactive additives including egg white (EW), propolis, and amoxicillin. Biogenic HAp was synthesized from<i>Pinctada maxima</i>shell-derived CaO and integrated into polymer matrices via electrospinning. The fabricated scaffolds were characterized using FTIR, XRD, and scanning electron microscopy (SEM) to evaluate functional groups, crystallinity, and morphology, while<i>in vitro</i>bioactivity was assessed using simulated body fluid (SBF) immersion. FTIR results confirmed the formation of hydroxyapatite and successful incorporation of polymer-ceramic components. XRD analysis indicated dominant HAp phase formation with nanoscale crystallite size (∼26 nm) and preserved polymer crystallinity in hybrid nanofibers. SEM analysis showed uniform nanofiber morphology with diameters ranging from 0.34-0.64<i>µ</i>m depending on additive composition. SBF immersion demonstrated apatite layer formation, indicating good mineralization potential. Swelling ratio analysis showed additive-dependent hydration behavior, with amoxicillin (143%) and propolis (129%) significantly increasing swelling, while EW produced moderate swelling (79%) compared to the base scaffold (63%). Overall, the hybrid scaffolds demonstrated synergistic physicochemical stability and bioactivity, supporting their potential use as functional biomaterial platforms.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147688013","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}