Technology and Health Care最新文献

{"title":"An immersive virtual reality serious game set for the clinical assessment of spatial attention impairments: Effects of avatars on perspective?","authors":"Khawla Ajana, Gauthier Everard, Thierry Lejeune, Martin Gareth Edwards","doi":"10.1177/09287329241296380","DOIUrl":"10.1177/09287329241296380","url":null,"abstract":"<p><p>BackgroundHemineglect (HN) is a post-stroke condition, frequently defined as an impairment in finding spatial targets within an egocentric frame of reference, where the stimulus is coded relative to the self. However, the egocentric reference frame can change with the presence of another person. Immersive virtual reality (IVR) offers several advantages over paper-and-pencil tests typically used to assess HN, such as a realistic and controlled environment, standardised stimulus presentation, and sensitive response acquisition. We developed a new serious game in IVR to assess HN. Here we investigated (1) the feasibility and user experience of this serious game, and (2) the effect of the presence of an avatar on HN.MethodsWe first tested a group of 61 control individuals (CI), followed by a group of post-stroke 11 individuals without HN (SI:HN-), 6 with HN (SI:HN+), and 17 resampled age matched group of control individuals (CI). All participants performed the \"Peach test\", which required them to find and respond to a target presented among distractors, either alone or in the presence of an avatar. We measured response time (RT) and omissions. The SI:HN- and SI:HN + groups also completed a paper-and-pencil test for HN and a user experience questionnaire.ResultsThe first analysis of results with CI showed no differences in responding to the target when in ipsi- compared to contra-lateral spaces, nor in peri- compared to extra-personal spaces. There were also no differences in responding to the target in the no-avatar condition relative to the two avatars conditions. In the second analysis, SI:HN + were slower than SI:HN- and CI. Although an interaction between group and Laterality was predicted, the results showed that there was no Laterality effect for any of the groups. An interaction between group and proximity, showed that both SI groups were slower in the extra- compared to peri-personal spaces. The user experience was globally positively rated by the SI.ConclusionWe developed a serious game in IVR for the assessment of HN. Although most our findings were inconclusive, the Peach test showed excellent user experience results.Trial registration http://www.clinicaltrials.gov ; Unique identifier: NCT04694833, Date of registration: 11/24/2020.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1626-1644"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Mendelian randomization approach for advancing healthcare innovation: From pregnancy hypertension to schizophrenia.","authors":"Wenjie Peng, Qingqi Ran, Fang Wu, Zhangxue Hu","doi":"10.1177/09287329251316227","DOIUrl":"10.1177/09287329251316227","url":null,"abstract":"<p><strong>Background: </strong>Schizophrenia, a severe mental disorder, is strongly associated with perinatal factors, including pregnancy hypertension, which affects fetal neurodevelopment. The causal relationship between pregnancy hypertension and schizophrenia remains unclear.</p><p><strong>Objective: </strong>To investigate the causal relationship between pregnancy hypertension and schizophrenia using a two-sample Mendelian randomization (MR) study.</p><p><strong>Methods: </strong>Pregnancy hypertension (cases/controls: 7686/115,8993) was considered as exposure and schizophrenia (cases/controls: 76755/243,649) as outcome. A two-sample MR study genetically estimated associations, with the inverse variance-weighted method as primary analysis. A two-step MR study explored potential mediators. Sensitivity tests assessed pleiotropy, heterogeneity, and stability.</p><p><strong>Results: </strong>Four single nucleotide polymorphisms (SNPs) were identified as genetic instruments for pregnancy hypertension (P < 5 × 10^-8, r² < 0.001). Pregnancy hypertension increased the risk of schizophrenia (odds ratio = 1.098, 95% CI = 1.025-1.173, P = 0.007), while reverse MR analysis found no significant link (odds ratio = 1.03, 95% CI = 0.980-1.082, P = 0.235). The two-step study revealed pregnancy hypertension elevated levels of 1,4-Dihydroxy-2-naphthoic acid (odds ratio = 1.351, 95% CI = 1.097-1.664, P = 0.004), which decreased schizophrenia risk (odds ratio = 0.97, 95% CI = 0.942-0.998, P = 0.040).</p><p><strong>Conclusion: </strong>Pregnancy hypertension is a high-risk factor for schizophrenia, with 1,4-Dihydroxy-2-naphthoic acid potentially mitigating this effect. These findings offer insights for the prophylaxis of schizophrenia and highlight the need for further research into underlying mechanisms.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1926-1937"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144267695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of 3D transesophageal echocardiography in native mitral valve endocarditis - A case report and review of the literature.","authors":"Zorica Mladenovic, Gordana Milic, Predrag Djuric, Zoran Jovic, Vesna Begovic, Edin Begic","doi":"10.1177/09287329241296813","DOIUrl":"10.1177/09287329241296813","url":null,"abstract":"<p><p>The aim of this paper is to present a case of infective endocarditis (IE) caused by <i>Staphylococcus aureus (S. aureus),</i> focusing on diagnostic and therapeutic approaches. The paper highlights the importance of 2D transesophageal echocardiography (TOE) and discusses the capabilities and advances of appliance of the 3D TOE in patient evaluation, better understanding of the diagnosis, and timely treatment. The use of this advance echocardiographic modality allows clear visualization of complex and destructive tissue lesions, such as the perforation observed and presented in this case.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1711-1716"},"PeriodicalIF":1.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring mini SmartApp usability for ankylosing spondylitis from the perspective of patients and health providers.","authors":"Zepu Wang, Longji Chen, Anqi Wang, Lin Cheng, Jiaxin Fan, Ting Fu, Yan Sang, Hongwu Shen","doi":"10.1177/09287329241312489","DOIUrl":"10.1177/09287329241312489","url":null,"abstract":"<p><p>ObjectiveTo identify beneficial experiences, areas needing improvement, and potential additional value, with a view to providing a reference for the application of mobile health management in clinical practice.MethodsThis study applied a mixed research approach to measure the mini smartApp usability among participants who were diagnosed with ankylosing spondylitis at rheumatology and immunology department of the Affiliated Hospital of Nantong University between October 2022 to March 2023 and research staff. This study lasted two weeks. We using the Post-Study System Usability Questionnaire (PSSUQ) and face-to-face semi-structured interview to evaluate the mini smartApp's usability.ResultsAltogether 105 participants having follow-up data at 2 weeks were included, of which 94 were AS patients and 13 were research staff. All participants thought the mini SmartApp was useful, with regard to the scores of PSSUQ between baseline was 1.1 (SD:0.63) and 2-week intervention period was 0.98 (SD:0.53). Four themes emerged from test of usability, participants thought mini SmartApp easy to use and can bring several benefits. However, the theme of needing more useful function revealed that mini SmartApp need further improvement in future use.ConclusionOverall, the mini SmartApp has the potential to be a valuable tool in assisting AS patients with home-based exercise and improving their overall management of the disease.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1949-1958"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143494388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning-based AI model for sinusitis diagnosis.","authors":"Jingfei Zhang, Dianyi Wang, Wentao Li, Jingyi Wang","doi":"10.1177/09287329241309799","DOIUrl":"10.1177/09287329241309799","url":null,"abstract":"<p><p>Problem statementWhile CT (Computed Tomography) is commonly used, its diagnostic accuracy for chronic sinusitis remains uncertain. Moreover, the high cost of CT examinations limits its use as a routine diagnostic method. There is an urgent need to develop an AI-assisted diagnostic model for sinusitis.ObjectiveThe primary aim of this study is to develop an AI-assisted diagnostic model for sinusitis that can improve diagnostic accuracy and accessibility compared to traditional CT methods.MethodologyThis study utilized a retrospective approach, focusing on patients diagnosed with chronic sinusitis via CT and normal patients admitted to the People's Hospital between January 2018 and January 2019. A total of 5000 sinus CT images were collected. All cases underwent T (targeted) coronal plain scans in the hospital's CT room, ensuring complete CT images. In constructing the chronic sinusitis classification model based on deep learning, 5000 CT images of soft tissue windows and sinuses were gathered. This included 1000 CT images for each of the four groups diagnosed with sphenoid sinusitis, frontal sinusitis, ethmoid sinusitis, and maxillary sinusitis, along with 1000 images from normal cases (250 images per group). The sigmoid function replaced the softmax function, and the binary cross-entropy function was used to assess the model's predictive accuracy.ResultsThe model achieved an accuracy of 85.8%, outperforming doctors with low (71.7%), medium (78.4%), and senior (73.4%) qualifications. The model demonstrated high accuracy, superior feature extraction, and resolution capabilities.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1800-1817"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Glut-1 exerts anti-tumor activity in glioma by regulating AKT / mTOR signaling pathway.","authors":"Zhimei Li, Guofeng Zhang","doi":"10.1177/09287329241304910","DOIUrl":"10.1177/09287329241304910","url":null,"abstract":"<p><p>ObjectiveGlioma is a common tumor in neurosurgery. Glut-1 is the main carrier of glucose uptake by cells and can provide energy through the glycolytic pathway. However, the role and related mechanisms of Glut-1 in glioma have not yet been elucidated.MethodsReal time PCR and Western blot were done to assess Glut-1 level in glioma tumor tissues and adjacent tissues. Glioma U87 cells were separated into control group; Glut-1 negative control (NC group); and Glut-1 siRNA group followed by analysis of Glut-1 expression, cell proliferation by MTT assay, cell invasion, cell apoptosis and cycle by flow cytometry and AKT / mTOR signaling proteins level by Western blot.ResultsGlut-1 expression was significantly increased in the tissues of glioma patients (P < 0.05) compared to adjacent tissues and its level was related to tumor size, pathological grade and survival. Down-regulating the expression of Glut-1 can significantly inhibit tumor cell proliferation and invasion, increase apoptosis and induce G0 phase of cell cycle arrest, and inhibit the expression of AKT / mTOR signaling proteins phosphorylation (P < 0.05).ConclusionsGlut-1 level in glioma tissues is significantly increased, which is related to the pathological features. Down-regulating Glut-1 can inhibit glioma by regulating the AKT / mTOR signaling pathway.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1693-1702"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pharmacological mechanisms of carvacrol against hepatocellular carcinoma by network pharmacology and molecular docking.","authors":"Lu Liu, Ping Yu, Zhongwei Zhao, Hongyuan Yang, Risheng Yu","doi":"10.1177/09287329241306192","DOIUrl":"10.1177/09287329241306192","url":null,"abstract":"<p><p>BackgroundPreclinical studies have demonstrated that carvacrol possesses various biological and pharmacological properties, including anti-hepatocellular carcinoma (HCC) effects. However, the molecular basis of its therapeutic action on HCC remains unclear.ObjectiveThe aim of this study was to investigate and further validate the multi-target therapeutic mechanism of carvacrol against HCC.MethodsThe chemical structure of carvacrol was obtained from the PubChem database, and its potential targets were identified using SwissTargetPrediction, HERB, and BATMAN-TCM. HCC-specific genes were screened from the TCGA-LIHC cohort. The therapeutic targets of carvacrol against HCC were determined through the intersection of these datasets. Subsequently, a multivariate Cox regression prognostic model was established. Molecular docking was performed to analyze the interactions between carvacrol and its therapeutic targets. Additionally, molecular dynamics simulations were conducted to validate the molecular docking results using Discovery Studio 2019 software.ResultsA total of 223 carvacrol targets and 882 HCC-specific genes were identified. Fifteen therapeutic targets of carvacrol against HCC were obtained, including CA2, AR, ALB, AURKA, ALPL, EPHX2, BCHE, IL1RN, AGRN, CRP, DMGDH, APOA1, SOX9, HPX, and CHKA. The prognostic model accurately and independently predicted survival outcomes. AGRN and AURKA were significantly associated with HCC overall survival. Molecular docking and molecular dynamics simulations demonstrated that carvacrol exhibited strong potential for stable binding to the therapeutic targets AGRN and AURKA.ConclusionOur findings elucidate the multi-target mechanism of action of carvacrol against HCC, providing a foundation for future research on its application in HCC management.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1850-1867"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancement of post-market surveillance of medical devices leveraging artificial intelligence: ECG devices case study.","authors":"Madžida Hundur, Lemana Spahić, Faruk Bećirović, Lejla Gurbeta Pokvić, Almir Badnjević","doi":"10.1177/09287329241303727","DOIUrl":"10.1177/09287329241303727","url":null,"abstract":"<p><p>BackgroundAfter 25 years of implementing the Medical Devices Directive (MDD), in 2017, the new Medical Devices Regulation (MDR) came into force, establishing stricter requirements for post-market surveillance of the safety and performance of medical devices (MD). For electrocardiogram (ECG) devices, which are crucial for monitoring cardiac activities, these requirements are essential to ensure the reliability and accuracy of diagnosing cardiac conditions and timely treatment.ObjectiveThis study aims to enhance post-market surveillance of ECG devices by leveraging Machine Learning (ML) algorithms to predict the operational status of these devices. Specifically, the research focuses on classifying the success or failure of ECG device operations based on performance and safety parameters. The ultimate goal is to improve the management strategies of ECG devices in healthcare institutions, ensuring optimal functionality and increasing the reliability of diagnostic procedures.MethodDuring the inspection process of ECG devices conducted by an accredited laboratory in accordance with ISO 17020 standard in numerous healthcare institutions in Bosnia and Herzegovina, a total of 5577 samples were collected. Various machine learning algorithms, including Decision Tree (DT), Logistic Regression (LR), Random Forest (RF), Gaussian Naive Bayes (NB), and Support Vector Machine (SVM), were employed for result comparison and selection of the most accurate algorithm.ResultsAll algorithms demonstrated good performance, but the Random Forest (RF) algorithm stood out, achieving 100% accuracy in predicting the success/unsuccess status of the device. While the results of this research are specific to the collected data from EKG devices, the developed algorithms can be applied to other similar datasets, offering opportunities for broader use in the medical environment.ConclusionImplementing machine learning algorithms for automated systems in healthcare institutions can significantly enhance the quality of patient diagnosis and treatment. Additionally, these systems can optimize costs associated with managing medical devices. Improved post-market surveillance using ML can address challenges related to ensuring device reliability and safety.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1818-1826"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MANSHIP: Mobile-based assistive notification service for hearing-impaired people using a hybrid deep learning model.","authors":"Soualihou Ngnamsie Njimbouom, Kwonwoo Lee, Jeong-Dong Kim","doi":"10.1177/09287329241309702","DOIUrl":"10.1177/09287329241309702","url":null,"abstract":"<p><p>Hearing impairment, often caused by noise-induced trauma, significantly affects sound perception, communication, and cognitive abilities while increasing the risk of secondary accidents-individuals with hearing impairment are twice as likely to experience accidents as those with normal hearing. According to a 2023 WHO report, approximately 432 million adults and 34 million children globally are affected by hearing loss. While Assistive Listening Devices are commonly recommended, they are inadequate for individuals with total hearing loss. Therefore, alternatives are necessary to enhance safety and reduce accident risks. The present study introduces a hybrid deep learning model combining Very Deep Convolutional Networks (VGG16) and Residual Networks (ResNet-50) for efficient sound wave analysis and classification. Trained and validated on a comprehensive urban sound dataset, the model achieved a remarkable accuracy of 97.14%, surpassing existing state-of-the-art solutions. Furthermore, a mobile-based assistive notification system, MANSHIP, was developed to detect environmental sounds and alert individuals with profound or total hearing loss to potential hazards. MANSHIP addresses critical safety challenges and demonstrates the potential to improve the quality of life for those with severe hearing impairments by fostering safer environments and reducing caregiver dependency.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1787-1799"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Treatment of recurrent shoulder dislocation by arthroscopic subscapularis augmentation using the long head of the biceps tendon.","authors":"Jun Wang, Danlei Huang, Zhiyang Ye, Weizong Weng, Guangze Wang, Haoyuan Liu, Jianming Huang","doi":"10.1177/09287329241302741","DOIUrl":"10.1177/09287329241302741","url":null,"abstract":"<p><p>BackgroundRecurrent anterior shoulder dislocation is a common shoulder problem, usually caused by a force from the front when the shoulder joint is abducted and externally rotated. In the present study, we investigated the effect of arthroscopic subscapularis augmentation using the long head of the biceps tendon on shoulder motion after restoring anterior stability of the joint in patients with 13.5-20% of scapular glenoid defects.MethodsFifty patients admitted to our department with recurrent anterior shoulder dislocation between April 2017 and July 2021 were retrospectively analyzed. The patients were divided into two groups (groups A and B, n = 25 each) with comparable age, sex, hand dominance, and articular glenoid bone loss. Patients in group A were treated with arthroscopic Bankart repair and subscapularis augmentation, whereas those in group B underwent arthroscopic long head of the biceps transposition and subscapularis augmentation. All patients in both groups were followed up for more than 1 year, with a mean follow-up period of 20.1 ± 0.7 months (range, 13-28 months). The primary outcomes were changes in the visual analog scale score, Rowe classification, and Constant-Murley shoulder outcome score.ResultsNone of the patients in either group had experienced recurrent dislocation at 1-year follow-up. The visual analog scale scores decreased, and the Rowe and Constant-Murley scores improved significantly compared to the preoperative scores. Significant differences were observed in the forward flexion, abduction, and internal rotation angles of the shoulder joint in both groups at 1-year follow-up compared to baseline. The postoperative forward flexion (<i>P </i>= 0.143), abduction (<i>P </i>= 0.778), and internal rotation angles (<i>P </i>= 0.609) did not differ significantly between the two groups. At 1-year follow-up, the loss of angles of external rotation at the side and external rotation at 90° abduction in group B exhibited significantly less angular loss than group A.ConclusionArthroscopic subscapularis augmentation using the long head of the biceps transposition technique was effective at restoring anterior stability in patients with 13.5-20% scapular glenoid defects. It was more effective at restoring the external rotational function of the shoulder joint than arthroscopic Bankart repair and subscapularis augmentation.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"1763-1772"},"PeriodicalIF":1.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}