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"Si-Woon Park"

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"Si-Woon Park"

Original Article

Brain disorders

Artificial Intelligence-Guided Mobile Telerehabilitation for Individuals With Cognitive Impairment: A Feasibility Study
Suebeen Kim, Doo Young Kim, Si-Woon Park, Namo Jeon, Taeksoo Jeong, Min-Soo Kang, Sangwook Park
Ann Rehabil Med 2025;49(6):371-380.   Published online December 31, 2025
DOI: https://doi.org/10.5535/arm.250060
Objective
To test the feasibility and usability of an artificial intelligence (AI)-guided mobile cognitive telerehabilitation program for patients with stroke or older adults with mild cognitive impairment (MCI).
Methods
Thirteen participants with cognitive impairment (Mini-Mental State Examination [MMSE] score≤26; nine with stroke and four with MCI) were enrolled in the study. Each participant was provided with an AI-guided mobile cognitive rehabilitation program (Zenicog®). Participants were instructed to complete 24 sessions within 6 weeks, and those with sufficient adherence (≥70%, 17 sessions) were included in the analysis. Cognitive assessments included the MMSE, digit span, and Trail Making Tests A & B. The usability questionnaire investigated equitable use and flexibility in use, simple and intuitive use, perceptible information, tolerance for error, low physical effort, size and space for use, overall product quality, overall satisfaction.
Results
Eleven participants completed the study, and 10 participants met adherence criteria. The MMSE score increased significantly from 24.00 [21.00, 25.75] at baseline to 27.50 [26.00, 28.75] after intervention. The overall product quality (Likert scale: 1–5) score was 4.00±0.87. The lowest score in the usability questionnaire was for tolerance for error. Female participants and participants with <12 years’ education gave lower scores for tolerance for error and equitable/ flexibility in use, respectively.
Conclusion
The AI-guided mobile cognitive telerehabilitation program is feasible and potentially beneficial for improving cognitive function in patients with stroke or older adults with MCI. Individuals who are less familiar with electronic devices require special consideration to improve their usability.

Citations

Citations to this article as recorded by  
  • AI-driven telerehabilitation for older adults with mild cognitive impairment: a randomized controlled trial
    Minsong Kim, Doo Young Kim, Taeksoo Jeong, Si-Woon Park
    Frontiers in Neurology.2026;[Epub]     CrossRef
  • 1,500 View
  • 88 Download
  • 1 Web of Science
  • 1 Crossref

Review Article

Geriatric Rehabilitation

E-Health Interventions for Older Adults With Frailty: A Systematic Review
Hyeong-Wook Han, Si-Woon Park, Doo Young Kim, Bum-Suk Lee, Daham Kim, Namo Jeon, Yun-Jung Yang
Ann Rehabil Med 2023;47(5):348-357.   Published online October 27, 2023
DOI: https://doi.org/10.5535/arm.23090
Objective
To systematically review the efficacy of e-Health interventions on physical performance, activity and quality of life in older adults with sarcopenia or frailty.
Methods
A systematic review was conducted by searching the MEDLINE, Embase, Cochrane Library, CINHAL, Web of Science, and the Physiotherapy Evidence Database for experimental studies published in English from 1990 to 2021. E-Health studies investigating physical activity, physical performance, quality of life, and activity of daily living assessment in adults aged ≥65 years with sarcopenia or frailty were selected.
Results
Among the 3,164 identified articles screened, a total of 4 studies complied with the inclusion criteria. The studies were heterogeneous by participant characteristics, type of e-Health intervention, and outcome measurement. Age criteria for participant selection and sex distribution were different between studies. Each study used different criteria for frailty, and no study used sarcopenia as a selection criteria. E-Health interventions were various across studies. Two studies used frailty status as an outcome measure and showed conflicting results. Muscle strength was assessed in 2 studies, and meta-analysis showed statistically significant improvement after intervention (standardized mean difference, 0.51; 95% confidence interval, 0.07–0.94; p=0.80, I2=0%).
Conclusion
This systematic review found insufficient evidence to support the efficacy of e-Health interventions. Nevertheless, the studies included in this review showed positive effects of e-Health interventions on improving muscle strength, physical activity, and quality of life in older adults with frailty.

Citations

Citations to this article as recorded by  
  • Co-design of a digital health lifestyle intervention for adults with metabolic dysfunction-associated steatotic liver disease
    Surbhi Sood, Stuart K Roberts, David Scott, Shelley E Keating, Sze-Yen Tan, Jacob George, Nicole Kiss, Robin M Daly, David W Dunstan, Robin M Tucker, Elena S George
    Journal of Telemedicine and Telecare.2026; 32(5): 465.     CrossRef
  • Comprehensive geriatric assessment and primary care based interventions for managing frailty in older adults: An evidence map
    Smiteerekha Sahoo, Tanveer Rehman, Md Shaney Ali, Haimanti Bhattacharya, Kavitha AK, Rasmiranjan Nayak, Ashok Kumar Mahakuda, Sanghamitra Pati, Jaya Singh Kshatri
    The Journal of Frailty & Aging.2026; 15(1): 100104.     CrossRef
  • Effectiveness of Digital Health Interventions in Older Adults With Frailty and Sarcopenia: Systematic Review and Meta‐Analysis of Randomized Controlled Trials
    Ting Dai, Changsheng Guo, Lingli Gao, Jinyu Huang, Yan Chen, Yujie Zhang, Jing Gao, Xiaodong Feng
    Journal of Medical Internet Research.2026; 28: e88374.     CrossRef
  • Effectiveness of mobile health interventions on physical activity management in frail older adults: a systematic review and meta-analysis
    Yaxin Chen, Lei Wu, Jing Li, Mengyuan Yang, Xin Qi, Mei Wang, Qi Li, Yanhong Wang
    European Review of Aging and Physical Activity.2026;[Epub]     CrossRef
  • Diffusion of gerontechnology in rural communities: Rethinking aging in place in developing countries
    Genghua Huang, Samuel Ampadu Oteng, Silai Dong
    Journal of Rural Studies.2026; 125: 104223.     CrossRef
  • Effect of digital health interventions on frailty prevention and surrogate markers in healthy older adults: A systematic review and meta-analysis
    Yosuke Kimura, Minoru Yamada, Shingo Koyama, Yuhei Otobe, Mizue Suzuki, Keiko Yamada, Hiroshi Akasaka, Hidetaka Wakabayashi, Ryo Momosaki, Hyuma Makizako, Keisuke Maeda, Hiroyuki Shimada, Tatsuro Inoue, Koichi Yamamoto, Hidenori Arai
    Aging Medicine and Healthcare.2026;[Epub]     CrossRef
  • Frail Older Adults' Needs and Preferences for Mobile Health Exercise Interventions Guided by Nudge Theory: AQualitative Analysis
    Ruotong Peng, Zeng Cao, Shaolong Hu, Xinzhou Liu, Yongzhen Guo, Xiaoyang Li, Chi Zhang, Hui Feng
    Journal of Clinical Nursing.2025; 34(5): 1830.     CrossRef
  • A multidisciplinary telemedicine approach for managing frailty in Parkinson's disease. A longitudinal, case-control study
    Álvaro García-Bustillo, José Miguel Ramírez-Sanz, José Luis Garrido-Labrador, Alicia Olivares-Gil, Florita Valiñas-Sieiro, Marta Allende-Río, Josefa González-Santos, Jerónimo Javier González-Bernal, Maha Jahouh, Sara Calvo-Simal, Lucía Simón-Vicente, Nati
    Parkinsonism & Related Disorders.2025; 130: 107215.     CrossRef
  • Global consensus on optimal exercise recommendations for enhancing healthy longevity in older adults (ICFSR)
    Mikel Izquierdo, Philipe de Souto Barreto, Hidenori Arai, Heike A. Bischoff-Ferrari, Eduardo L. Cadore, Matteo Cesari, Liang-Kung Chen, Paul M. Coen, Kerry S. Courneya, Gustavo Duque, Luigi Ferrucci, Roger A. Fielding, Antonio García-Hermoso, Luis Miguel
    The Journal of nutrition, health and aging.2025; 29(1): 100401.     CrossRef
  • What are end-users’ needs and preferences for a comprehensive e-health program for type 2 diabetes? – A qualitative user preference study
    Tina Rishaug, Anne-Marie Aas, André Henriksen, Gunnar Hartvigsen, Kåre Inge Birkeland, Eirik Årsand, Ai Theng Cheong,
    PLOS ONE.2025; 20(3): e0318876.     CrossRef
  • The Impact of Depression and Leisure Activities on E-Health Literacy Among Older Adults: A Cross-Cultural Study in the EU and Japan
    Kumi Morishita-Suzuki, Toshimi Ogawa, Roberta Bevilacqua, Sebastien Dacunha, Vera Stara, Johanna Möller, Cecilia Palmier, Asako Ohara, Ai Abe, Denilson Brilliant T., Maribel Pino, Rainer Wieching, Elvira Maranesi, Anne-Sophie Rigaud, Shuichiro Watanabe, V
    International Journal of Environmental Research and Public Health.2025; 22(3): 403.     CrossRef
  • Evidence on non-pharmacological interventions for preventing or reversing physical frailty in community-dwelling older adults aged over 50 years: overview of systematic reviews
    Annemarie Money, Aylish MacKenzie, Amelia Parchment, Gill Norman, Danielle Harris, Saima Ahmed, Lisa McGarrigle, Helen Hawley-Hague, Chris Todd
    BMC Geriatrics.2025;[Epub]     CrossRef
  • Digital health interventions for non-older individuals at risk of frailty: A systematic review and meta-analysis
    Momoko Tohyama, Ryo Momosaki, Yuka Shirai, Kenta Ushida, Yuki Kato, Miho Shimizu, Issei Kameda, Yuya Sakurai, Asuka Hori, Masatsugu Okamura, Takahiro Tsuge, Hiroki Sato, Yuki Nakashima, Kaori Endo, Shota Hayashi, Norio Yamamoto, Daisuke Matsumoto, Kenichi
    DIGITAL HEALTH.2025;[Epub]     CrossRef
  • Strategies to Optimize Recovery in Frail Patients With Cardiovascular Disease Through Exercise-Based Cardiac Rehabilitation
    Kyuwan Lee
    Journal of Lipid and Atherosclerosis.2025; 14(2): 159.     CrossRef
  • Evaluating effectiveness and implementation of digital health interventions for older adults with cognitive frailty: A systematic review and meta-analysis
    Yanyan Li, Meijun Liu, Jieru Yang, Qinqin Liu, Wendie Zhou, Jiaqi Yu, Xue Wang, Cuili Wang
    Ageing Research Reviews.2025; 111: 102819.     CrossRef
  • Home Healthcare Services and Interventions for Older Adults: An Umbrella Review of Systematic Reviews and Meta-Analyses
    Areej Al-Hamad, Yasin M. Yasin, Kateryna Metersky, Kristina M. Kokorelias, Lujain Yasin, Fatima Afzal
    Journal of Ageing and Longevity.2025; 5(3): 25.     CrossRef
  • Effects of multi-component interventions on the lifestyle in pre-frail or frail older adults: A systematic review and meta-analysis
    Xinyu Wan, Xuehan Ma, Gengxin Yao, Yiran Xu, Yali Yang, Lishuang Zheng, Li Chen, Guichen Li
    Archives of Gerontology and Geriatrics.2025; 139: 106005.     CrossRef
  • Current and Future Challenges for Rehabilitation for Inflammatory Arthritis
    Rikke Helene Moe, Thea P. M. Vliet Vlieland
    Journal of Clinical Medicine.2024; 13(6): 1808.     CrossRef
  • A Real-Time Web-Based Intervention with a Multicomponent Group-Based Program for Older Adults: Single-Arm Feasibility Study
    Tsubasa Nakada, Kayo Kurotani, Takako Kozawa, Satoshi Seino, Shinichi Murota, Miki Eto, Junko Shimasawa, Yumiko Shimizu, Shinobu Tsurugano, Fuminori Katsukawa, Kazunori Sakamoto, Hironori Washizaki, Yo Ishigaki, Maki Sakamoto, Keiki Takadama, Keiji Yanai,
    Healthcare.2024; 12(23): 2365.     CrossRef
  • 13,816 View
  • 130 Download
  • 16 Web of Science
  • 19 Crossref

Original Article

Inpatient Course and Length of Hospital Stay in Patients with Brain Disorders in South Korea: A Population-based Registry Study
Se Hee Jung, Kyoung Moo Lee, Si-Woon Park, Min Ho Chun, Han Young Jung, Il-soo Kim, Se Hyun Kim, Tai Ryoon Han
Ann Rehabil Med 2012;36(5):609-617.   Published online October 31, 2012
DOI: https://doi.org/10.5535/arm.2012.36.5.609
Objective

To describe inpatient course and length of hospital stay (LOS) for people who sustain brain disorders nationwide.

Method

We interviewed 1,903 randomly selected community-dwelling patients registered as 'disabled by brain disorders' in 28 regions of South Korea.

Results

Seventy-seven percent were initially admitted to a Western medicine hospital, and 18% were admitted to a traditional Oriental medicine hospital. Forty-three percent were admitted to two or more hospitals. Mean LOS was 192 days. Most patients stayed in one hospital for more than 4 weeks. The transfer rate to other hospitals was 30-40%. Repeated admissions and increased LOS were related to younger onset age, higher education, non-family caregiver employment, smaller families, and more severe disability.

Conclusion

Korean patients with brain disorders showed significantly prolonged LOS and repeated admissions. Factors increasing burden of care influenced LOS significantly.

Citations

Citations to this article as recorded by  
  • Transitional and Long-Term Rehabilitation Care System After Stroke in Korea
    Ja-Ho Leigh, Won-Seok Kim, Dong-Gyun Sohn, Won Kee Chang, Nam-Jong Paik
    Frontiers in Neurology.2022;[Epub]     CrossRef
  • Comparison Between Comprehensive Nursing Care Ward and Private Care Ward on Functional Recovery in Stroke Patients
    Yang Rok Hur, Woo Sup Song, Kyung Min Kim, Ki Hun Hwang
    Brain & Neurorehabilitation.2022;[Epub]     CrossRef
  • Length of Hospital Stay After Stroke: A Korean Nationwide Study
    Ji-Ho Kang, Hee-Joon Bae, Young-Ah Choi, Sang Heon Lee, Hyung Ik Shin
    Annals of Rehabilitation Medicine.2016; 40(4): 675.     CrossRef
  • 6,723 View
  • 30 Download
  • 3 Crossref

Case Report

Augmentative and Alternative Communication Training Using Eye Blink Switch for Locked-in Syndrome Patient
Si-Woon Park, You-lim Yim, Sook-hee Yi, Hyun-young Kim, Seung-min Jung
Ann Rehabil Med 2012;36(2):268-272.   Published online April 30, 2012
DOI: https://doi.org/10.5535/arm.2012.36.2.268

Locked-in Syndrome is a severe pontine stroke causing quadriplegia, lower cranial nerve paralysis, and mutism with preservation of only vertical gaze and upper eyelid movement in a conscious patient. We present a case of a Locked-in Syndrome patient who received communication training with augmentative and alternative communication equipment by using eye blinks. After 3 weeks of training, the patient was able to make an attempt to interact with other people, and associate a new word by Korean alphabet selection. Augmentative and alternative communication equipment which uses eye blinks might be considered to be beneficial in improving the communication skills of locked-in syndrome patients.

Citations

Citations to this article as recorded by  
  • Circular orientated display speeds up communication by gaze
    Markus Schmidt, Tobias Tempel
    Disability and Rehabilitation: Assistive Technology.2026; 21(1): 113.     CrossRef
  • A pilot study to assess the safety and feasibility of a wearable communication device in mechanically ventilated critically ill patients
    Ofer Sadan, Jonathan J. Ratcliff, Owen B. Samuels, Alex J. Hall
    Journal of Critical Care.2026; 91: 155259.     CrossRef
  • Visual complexity and frequency of graphemes in amharic: implications for dyslexics and dysgraphics
    Abebayehu Messele Mekonnen, R. Malatesha Joshi
    Cognitive Processing.2026; 27(1): 191.     CrossRef
  • e-Learning in Phoniatrics and Speech-Language Pathology: Exploratory Analysis of Free Access Tools in Augmentative and Alternative Communication
    Jessica Büchs, Christiane Neuschaefer-Rube
    JMIR Medical Education.2025; 11: e63392.     CrossRef
  • Update on How to Approach a Patient with Locked-In Syndrome and Their Communication Ability
    Kaitlyn Voity, Tara Lopez, Jessie P. Chan, Brian D. Greenwald
    Brain Sciences.2024; 14(1): 92.     CrossRef
  • Locked-in syndrome revisited
    Laura Schnetzer, Mark McCoy, Jürgen Bergmann, Alexander Kunz, Stefan Leis, Eugen Trinka
    Therapeutic Advances in Neurological Disorders.2023;[Epub]     CrossRef
  • Gaze Tracking for Hands-Free Human Using Deep Reinforcement Learning Approach
    Irfan Ullah, Abid Ali, Shahid Rasool, Abdul Moiz Khan, Iqra Batool, Manahil Javed, Sarara Kalsoom
    Journal of Smart Internet of Things.2023; 2023(2): 105.     CrossRef
  • Writing Blindly in Incomplete Locked-In Syndrome with A Custom-Made Switch-Operated Voice-Scanning Communicator—A Case Report
    Marco Caligari, Marica Giardini, Marco Guenzi
    Brain Sciences.2022; 12(11): 1523.     CrossRef
  • Communication Technologies Based on Voluntary Blinks: Assessment and Design
    Alberto J. Molina-Cantero, Clara Lebrato-Vazquez, Manuel Merino-Monge, Roylan Quesada-Tabares, Juan A. Castro-Garcia, Isabel M. Gomez-Gonzalez
    IEEE Access.2019; 7: 70770.     CrossRef
  • Toward Optimization of Gaze-Controlled Human–Computer Interaction: Application to Hindi Virtual Keyboard for Stroke Patients
    Yogesh Kumar Meena, Hubert Cecotti, Kongfatt Wong-Lin, Ashish Dutta, Girijesh Prasad
    IEEE Transactions on Neural Systems and Rehabilitation Engineering.2018; 26(4): 911.     CrossRef
  • A new concept of assistive virtual keyboards based on a systematic review of text entry optimization techniques
    Renato de Sousa Gomide, Luiz Fernando Batista Loja, Rodrigo Pinto Lemos, Edna Lúcia Flôres, Francisco Ramos Melo, Ricardo Antonio Gonçalves Teixeira
    Research on Biomedical Engineering.2016; 32(2): 176.     CrossRef
  • Beyond the gaze: Communicating in chronic locked-in syndrome
    Zulay R. Lugo, Marie-Aurélie Bruno, Olivia Gosseries, Athena Demertzi, Lizette Heine, Marie Thonnard, Véronique Blandin, Frédéric Pellas, Steven Laureys
    Brain Injury.2015; 29(9): 1056.     CrossRef
  • A concept-environment for computer-based augmentative and alternative communication founded on a systematic review
    Luiz Fernando Batista Loja, Renato de Sousa Gomide, Fabiana Freitas Mendes, Ricardo Antonio Gonçalves Teixeira, Rodrigo Pinto Lemos, Edna Lúcia Flôres
    Research on Biomedical Engineering.2015; 31(3): 257.     CrossRef
  • 7,480 View
  • 75 Download
  • 13 Crossref
Original Article
Correlations between Pre-morbid Personality and Depression Scales in Stroke Patients
Sung Il Hwang, Kyung In Choi, Oak Tae Park, Si-Woon Park, Eun Seok Choi, Sook-Hee Yi
Ann Rehabil Med 2011;35(3):328-336.   Published online June 30, 2011
DOI: https://doi.org/10.5535/arm.2011.35.3.328
Objective

To investigate the correlation between pre-morbid personality and depression scales in patients with stroke.

Method

The subjects of this study included 45 patients with stroke and their caregivers. We conducted an interview of patients with Beck Depression Inventory (BDI) and also evaluated general characteristic (age, sex, location of lesion, cause of stroke, duration of illness, educational background, history of medication for depression) and functional level. Caregivers were evaluated with Hamilton Rating Scale for Depression (HRSD) for depressive mood, with NEO-PI (Neuroticism, Extraversion and Openness Personality Inventory) for pre-morbid personality. The results of each questionnaire were analyzed in order to investigate their correlation. The results were statistically analyzed with independent t-test, ANOVA, and Pearson correlation test.

Results

The HRSD score of the caregivers had a significant correlation with the BDI score (p=0.001) of the patients. The BDI score correlated with Neuroticism (p=0.021) and the HRSD score also correlated with Neuroticism (p=0.015). There were no statistical correlation of depression with sex, age, case of stroke, location of lesion, duration of illness and functional level.

Conclusion

Among pre-morbid personalities, neuroticism of NEO-PI is the only factor which is significantly correlated with depression scales in stroke patients. Evaluating pre-morbid personality can be helpful in predicting the depressive mood in stroke patients, so we may have early intervention for it.

Citations

Citations to this article as recorded by  
  • The influence of psychological factors and mood on the course of participation up to four years after stroke
    J. A. de Graaf, V. P. M. Schepers, B. Nijsse, C. M. van Heugten, M. W. M. Post, J. M. A. Visser-Meily
    Disability and Rehabilitation.2022; 44(10): 1855.     CrossRef
  • Depressive symptomatology and personality traits in patients with symptomatic and asymptomatic peripheral arterial disease
    Gergely Tóth-Vajna, Zsombor Tóth-Vajna, Piroska Balog, Barna Konkolÿ Thege
    BMC Cardiovascular Disorders.2020;[Epub]     CrossRef
  • The Big Five personality factors and psychological well-being following stroke: a systematic review
    Toni Dwan, Tamara Ownsworth
    Disability and Rehabilitation.2019; 41(10): 1119.     CrossRef
  • Personality traits and course of symptoms of depression and apathy after stroke: Results of the CASPER study
    Elles Douven, Julie Staals, Syenna H.J. Schievink, Robert J. van Oostenbrugge, Frans R.J. Verhey, Sascha Wetzels-Meertens, Sebastian Köhler, Pauline Aalten
    Journal of Psychosomatic Research.2018; 111: 69.     CrossRef
  • Neuroticism and Fatigue 3 Months After Ischemic Stroke
    Chieh Grace Lau, Wai Kwong Tang, Xiang Xin Liu, Hua Jun Liang, Yan Liang, Vincent Mok, Adrian Wong, Gabor S. Ungvari, Mansur A. Kutlubaev, Ka Sing Wong
    Archives of Physical Medicine and Rehabilitation.2017; 98(4): 716.     CrossRef
  • Effect of neuroticism on risk of cardiovascular disease in depressed persons - a Swedish population-based cohort study
    Aysha Almas, Jette Moller, Romaina Iqbal, Yvonne Forsell
    BMC Cardiovascular Disorders.2017;[Epub]     CrossRef
  • Reliability of the NEO Five Factor Inventory short form for assessing personality after stroke
    Toni Dwan, Tamara Ownsworth, Caroline Donovan, Ada Ho Yan Lo
    International Psychogeriatrics.2017; 29(7): 1157.     CrossRef
  • Risk Factors for Symptoms of Depression and Anxiety One Year Poststroke: A Longitudinal Study
    Joyce A. Kootker, Maria L. van Mierlo, Jan C. Hendriks, Judith Sparidans, Sascha M. Rasquin, Paul L. de Kort, Johanna M. Visser-Meily, Alexander C. Geurts
    Archives of Physical Medicine and Rehabilitation.2016; 97(6): 919.     CrossRef
  • MODERN CONCEPTS OF THE PATHOGENESIS, RISK FACTORS, AND APPROACHES TO THE TREATMENT OF POSTSTROKE DEPRESSION
    S G Belokoskova, S G Tsikunov
    Medical academic journal.2016; 16(2): 21.     CrossRef
  • Psychological Factors Determine Depressive Symptomatology After Stroke
    Maria L. van Mierlo, Caroline M. van Heugten, Marcel W. Post, Paul L. de Kort, Johanna M. Visser-Meily
    Archives of Physical Medicine and Rehabilitation.2015; 96(6): 1064.     CrossRef
  • Personality as a predictor of depression symptoms in burn patients: A follow-up study
    A. Giannoni-Pastor, M. Gomà-i-Freixanet, S. Valero, S.G. Fidel Kinori, R. Tasqué-Cebrián, J.M. Arguello, M. Casas
    Burns.2015; 41(1): 25.     CrossRef
  • Personality Type as a Predictor for Depressive Symptoms and Reduction in Quality of Life Among Stroke Survivals
    Svetlana Afanasiev, Judith Aharon-Peretz, Michal Granot
    The American Journal of Geriatric Psychiatry.2013; 21(9): 832.     CrossRef
  • 9,555 View
  • 39 Download
  • 12 Crossref
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