11 results on '"Stanley Poh"'
Search Results
2. Explainable artificial intelligence in ophthalmology.
- Author
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Ting Fang Tan, Peilun Dai, Xiaoman Zhang, Liyuan Jin, Stanley Poh, Dylan Hong, Joshua Lim, Gilbert Lim, Zhen Ling Teo, Nan Liu, and Shu Wei Ting, Daniel
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- 2023
- Full Text
- View/download PDF
3. Systemic medications and cortical cataract: the Singapore Epidemiology of Eye Diseases Study
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Jie Jin Wang, Ava Grace Tan, Miao Li Chee, Shivani Majithia, Stanley Poh, Yijin Tao, Wei Dai, Ching-Yu Cheng, and Yih Chung Tham
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Male ,medicine.medical_specialty ,medicine.medical_treatment ,Angiotensin-Converting Enzyme Inhibitors ,Comorbidity ,Disease ,Logistic regression ,Cataract ,Angiotensin Receptor Antagonists ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Diabetes mellitus ,Epidemiology ,Ethnicity ,Prevalence ,Humans ,Medicine ,030212 general & internal medicine ,Socioeconomic status ,Aged ,Retrospective Studies ,Singapore ,business.industry ,Insulin ,Fibric Acids ,Middle Aged ,Prognosis ,medicine.disease ,Sensory Systems ,Ophthalmology ,Cross-Sectional Studies ,Social Class ,030221 ophthalmology & optometry ,Female ,Ordered logit ,business ,Body mass index - Abstract
Background/aimsTo evaluate the association between systemic medications and cortical cataract prevalence in an Asian population.MethodsThe Singapore Epidemiology of Eye Diseases Study recruited 10 033 Chinese, Malay and Indian residents aged 40+ years living in Singapore. Information on medication use was collected at interview using questionnaires. The presence and severity of cortical cataract were assessed from lens photographs using the modified Wisconsin Cataract Grading System. Associations between medications and the presence of cortical cataract were assessed using logistic regression. Associations between medications and greater severity of cortical cataract (none, minimal, early and late) were assessed using ordinal logistic regression.ResultsA total of 8965 participants were included, the mean age was 57.6 (SD=9.8) years, and 4555 (50.8%) were women. After adjusting for age, gender, ethnicity, body mass index, smoking status, socioeconomic status, hypertension, hyperlipidaemia, diabetes, duration of diabetes and cardiovascular disease, ACE inhibitors (OR=1.27; 95% CI 1.05 to 1.55), fibrates (OR=1.57; 95% CI 1.05 to 2.35), alpha-glucosidase inhibitors (AGIs) (OR=1.85; 95% CI 1.13 to 3.02) and insulin (OR=1.80; 95% CI 1.11 to 2.93) were significantly associated with the presence of cortical cataract. Further adjusting for concurrent medication use did not alter these associations. Consistently, the four medications were also associated with a greater severity level of cortical cataract.ConclusionACE inhibitors, fibrates and AGIs were associated with increased prevalence of cortical cataract in this Asian population, independent of the presence of hypertension, hyperlipidaemia and diabetes, respectively. Whether they contribute to the risk of cortical cataract needs confirmation in longitudinal studies.
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- 2019
4. Prevalence of retinitis pigmentosa in Singapore: the Singapore Epidemiology of Eye Diseases Study
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Cong Ling Teo, Yih Chung Tham, Ning Cheung, Ching-Yu Cheng, Sahil Thakur, Tyler Hyungtaek Rim, and Stanley Poh
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Adult ,Aged, 80 and over ,Male ,medicine.medical_specialty ,Singapore ,business.industry ,MEDLINE ,General Medicine ,Middle Aged ,medicine.disease ,Dermatology ,Ophthalmology ,Epidemiology ,Retinitis pigmentosa ,Prevalence ,Medicine ,Humans ,Female ,Visual Fields ,business ,Retinitis Pigmentosa ,Aged - Published
- 2020
5. Association between Macular Thickness Profiles and Visual Function in Healthy Eyes: The Singapore Epidemiology of Eye Diseases (SEED) Study
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Wei Dai, Tyler Hyungtaek Rim, Stanley Poh, Ching-Yu Cheng, Sahil Thakur, Miao Li Chee, Eva K Fenwick, Yijin Tao, Yih Chung Tham, Zhi Da Soh, Charumathi Sabanayagam, and Shivani Majithia
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0301 basic medicine ,Male ,Retinal Ganglion Cells ,medicine.medical_specialty ,Visual acuity ,genetic structures ,Epidemiology ,Population ,Visual Acuity ,lcsh:Medicine ,Article ,Retina ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Ophthalmology ,Medicine ,Humans ,Macula Lutea ,education ,lcsh:Science ,Generalized estimating equation ,Vision, Ocular ,education.field_of_study ,Singapore ,Multidisciplinary ,business.industry ,Confounding ,lcsh:R ,Retinal ,Mean age ,Middle Aged ,eye diseases ,030104 developmental biology ,chemistry ,Visual function ,030221 ophthalmology & optometry ,lcsh:Q ,Female ,sense organs ,Medical imaging ,medicine.symptom ,business ,Tomography, Optical Coherence - Abstract
This study aimed to evaluate the association between optical coherence tomography (OCT)-measured retinal layer thickness parameters with clinical and patient-centred visual outcomes in healthy eyes. Participants aged 40 and above were recruited from the Singapore Epidemiology of Eye Diseases Study, a multi-ethnic population-based study. Average macular, ganglion cell-inner plexiform layer (GCIPL), and outer retinal thickness parameters were obtained using the Cirrus High Definition-OCT. Measurements of best-corrected visual acuity (BCVA) and 11-item visual functioning questionnaire (VF-11) were performed. Associations between macular thickness parameters, with BCVA and Rasch-transformed VF-11 scores (in logits) were assessed using multivariable linear regression models with generalized estimating equations, adjusted for relevant confounders. 4,540 subjects (7,744 eyes) with a mean age of 58.8 ± 8.6 years were included. The mean BCVA (LogMAR) was 0.10 ± 0.11 and mean VF-11 score was 5.20 ± 1.29. In multivariable regression analysis, thicker macula (per 20 µm; β = −0.009) and GCIPL (per 20 µm; β = −0.031) were associated with better BCVA (all p ≤ 0.001), while thicker macula (per 20 µm; β = 0.04) and GCIPL (per 20 µm, β = 0.05) were significantly associated with higher VF-11 scores (all p
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- 2020
6. Factors that influence tear meniscus area and conjunctivochalasis: The Singapore Indian eye study
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Louis Tong, Carin Lay San Tan, Tien Yin Wong, Stanley Poh, Ryan Lee, Jennifer Gao, Ching-Yu Cheng, Preeti Gupta, and Charumathi Sabanayagam
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Adult ,Male ,0301 basic medicine ,medicine.medical_specialty ,Time Factors ,Conjunctiva ,Epidemiology ,Population ,India ,Tear volume ,Conjunctival Diseases ,03 medical and health sciences ,0302 clinical medicine ,Anterior Eye Segment ,Ophthalmology ,Prevalence ,medicine ,Humans ,education ,Aged ,Singapore ,education.field_of_study ,business.industry ,Objective measurement ,Meibomian gland dysfunction ,Female sex ,Middle Aged ,Conjunctivochalasis ,medicine.disease ,eye diseases ,Cross-Sectional Studies ,030104 developmental biology ,Tear meniscus ,medicine.anatomical_structure ,Tears ,030221 ophthalmology & optometry ,Female ,sense organs ,business ,Tomography, Optical Coherence ,Follow-Up Studies - Abstract
PURPOSE Assessment of tear film and conjunctiva is critical to define presence and severity of ocular surface disease. We aimed to characterize tear meniscus area (TMA) and conjunctivochalasis by anterior segment optical coherence tomography (ASOCT) in population-based patients and identify potential factors associated with low TMA and severe conjunctivochalasis. METHODS Study subjects were enrolled from The Singapore Indian Eye Study, a population-based study of Asian Indian in Singapore. Imaging with ASOCT was performed on three ocular regions (nasal, central and temporal). TMA was obtained by measuring the cross-sectional area of the inferior tear meniscus. Severity of conjunctivochalasis was quantified by measuring the conjunctivochalasis ratio (CCR), the ratio of area of redundant conjunctiva to the TMA. Ocular symptoms and demographic factors were assessed by standardized questionnaires. RESULTS A total of 403 participants (52.9% women) 40 years of age and older were included. TMA centrally was 2818 ± 5308 pixel2. Female sex and the presence of meibomian gland dysfunction (MGD), but not older age, were associated with a lower TMA (p = 0.031, p = 0.031 and p = 0.956 respectively). In this population, 9.2% had severe conjunctivochalasis (CCR>0.7) whereas 39.0% had mild to no conjunctivochalasis (CCR≤0.3). Conjunctivochalasis was more severe in temporal, followed by nasal and central sections. Older age was associated with severe conjunctivochalasis (p
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- 2017
7. Metabolic syndrome and eye diseases
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Charumathi Sabanayagam, Riswana Banu Binte Mohamed Abdul, Ecosse L. Lamoureux, Tien Yin Wong, and Stanley Poh
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medicine.medical_specialty ,Pathology ,Eye Diseases ,genetic structures ,Endocrinology, Diabetes and Metabolism ,Visual impairment ,Population ,Blindness ,03 medical and health sciences ,0302 clinical medicine ,Endocrinology ,Intervention (counseling) ,Diabetes mellitus ,Internal Medicine ,medicine ,Humans ,030212 general & internal medicine ,Intensive care medicine ,education ,Metabolic Syndrome ,education.field_of_study ,business.industry ,Public health ,General Medicine ,Diabetic retinopathy ,medicine.disease ,eye diseases ,Cross-Sectional Studies ,030221 ophthalmology & optometry ,Etiology ,sense organs ,Metabolic syndrome ,medicine.symptom ,business - Abstract
Metabolic syndrome is becoming a worldwide medical and public health challenge as it has been seen increasing in prevalence over the years. Age-related eye diseases, the leading cause of blindness globally and visual impairment in developed countries, are also on the rise due to aging of the population. Many of the individual components of the metabolic syndrome have been shown to be associated with these eye diseases. However, the association of metabolic syndrome with eye diseases is not clear. In this review, we reviewed the evidence for associations between metabolic syndrome and certain ocular diseases in populations. We also reviewed the association of individual metabolic syndrome components with ocular diseases due to a paucity of research in this area. Besides, we also summarised the current understanding of etiological mechanisms of how metabolic syndrome or the individual components lead to these ocular diseases. With increasing evidence of such associations, it may be important to identify patients who are at risk of developing metabolic syndrome as prompt treatment and intervention may potentially decrease the risk of developing certain ocular diseases.
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- 2016
8. Rates and Determinants of Eyecare Utilization and Eyeglass Affordability Among Individuals With Visual Impairment in a Multi-Ethnic Population-Based Study in Singapore
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Ching-Yu Cheng, Preeti Gupta, Charumathi Sabanayagam, Alfred Tau Liang Gan, Ecosse L. Lamoureux, Eva K Fenwick, Shivani Majithia, Yih Chung Tham, Tien Yin Wong, Sahil Thakur, and Stanley Poh
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Adult ,Male ,0301 basic medicine ,medicine.medical_specialty ,Eye disease ,Visual impairment ,Population ,visual impairment ,Biomedical Engineering ,Ethnic group ,Article ,03 medical and health sciences ,0302 clinical medicine ,eyecare utilization ,Epidemiology ,spectacle affordability ,medicine ,Humans ,Child ,education ,Socioeconomic status ,Aged ,Singapore ,education.field_of_study ,business.industry ,Malaysia ,Female sex ,medicine.disease ,Asians ,Population based study ,Ophthalmology ,Cross-Sectional Studies ,Eyeglasses ,030104 developmental biology ,Costs and Cost Analysis ,030221 ophthalmology & optometry ,Female ,medicine.symptom ,business ,Demography - Abstract
Purpose The purpose of this study was to determine the rates of, and factors associated with, eyecare utilization and spectacle affordability among Singaporeans with vision impairment (VI). Methods We included adults with VI from their second visit of the Singapore Epidemiology of Eye Disease Study. Data on eyecare utilization and spectacle affordability were collected. Low eyecare utilization was defined as no eye check ever or eye checks not even once per year in reference to at least once per year. Difficulty affording glasses was defined as glasses being rated as expensive in reference to not expensive. Results There were 985 adults (14.5%; 415 Malays, 260 Indian, and 310 Chinese; mean age [SD]: 69.5 [10.2] years; 55.4% women) with VI who answered the above questions, were included. Of these, 624 (63.4%) wore glasses. The rates of low eyecare utilization and difficulty affording eyeglasses were 31% and 63%, respectively. Compared to Chinese (23.8%) and Indians (18.8%), Malays (57.4%) had the highest rates of low eyecare utilization (P < 0.001), and most difficulty affording eyeglasses (47.2% vs. 26.1% and 26.6% in Chinese and Indians, respectively; P < 0.001). Younger age, low socioeconomic status, absence of diabetes, absence of self-reported eye conditions, and poor vision were independently associated with low eyecare utilization, whereas older age and female sex was associated with difficulty affording glasses. Conclusions In this multi-ethnic population with VI, almost one-third had low eyecare utilization and nearly two-thirds reported difficulty affording eyeglasses. Translational Relevance This will inform strategies, such as tailored eyecare utilization awareness campaigns and awareness of available subsidy schemes for at-risk Singaporeans, such as Malays.
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- 2020
9. Large-Scale Whole-Genome Sequencing of Three Diverse Asian Populations in Singapore
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Degang Wu, Jinzhuang Dou, Xiaoran Chai, Claire Bellis, Andreas Wilm, Chih Chuan Shih, Wendy Wei Jia Soon, Nicolas Bertin, Clarabelle Bitong Lin, Chiea Chuen Khor, Michael DeGiorgio, Shanshan Cheng, Li Bao, Neerja Karnani, William Ying Khee Hwang, Sonia Davila, Patrick Tan, Asim Shabbir, Angela Moh, Eng-King Tan, Jia Nee Foo, Liuh Ling Goh, Khai Pang Leong, Roger S.Y. Foo, Carolyn Su Ping Lam, Arthur Mark Richards, Ching-Yu Cheng, Tin Aung, Tien Yin Wong, Huck Hui Ng, Jianjun Liu, Chaolong Wang, Matthew Andrew Ackers-Johnson, Edita Aliwarga, Kenneth Hon Kim Ban, Denis Bertrand, John C. Chambers, Dana Leng Hui Chan, Cheryl Xue Li Chan, Miao Li Chee, Miao Ling Chee, Pauline Chen, Yunxin Chen, Elaine Guo Yan Chew, Wen Jie Chew, Lynn Hui Yun Chiam, Jenny Pek Ching Chong, Ivan Chua, Stuart A. Cook, Wei Dai, Rajkumar Dorajoo, Chuan-Sheng Foo, Rick Siow Mong Goh, Axel M. Hillmer, Ishak D. Irwan, Fazlur Jaufeerally, Asif Javed, Justin Jeyakani, John Tat Hung Koh, Jia Yu Koh, Pavitra Krishnaswamy, Jyn Ling Kuan, Neelam Kumari, Ai Shan Lee, Seow Eng Lee, Sheldon Lee, Yen Ling Lee, See Ting Leong, Zheng Li, Peter Yiqing Li, Jun Xian Liew, Oi Wah Liew, Su Chi Lim, Weng Khong Lim, Chia Wei Lim, Tingsen Benson Lim, Choon Kiat Lim, Seet Yoong Loh, Au Wing Lok, Calvin W.L. Chin, Shivani Majithia, Sebastian Maurer-Stroh, Wee Yang Meah, Shi Qi Mok, Niranjan Nargarajan, Pauline Ng, Sarah B. Ng, Zhenyuan Ng, Jessica Yan Xia Ng, Ebonne Ng, Shi Ling Ng, Simon Nusinovici, Chin Thing Ong, Bangfen Pan, Vincent Pedergnana, Stanley Poh, Shyam Prabhakar, Kumar M. Prakash, Ivy Quek, Charumathi Sabanayagam, Wei Qiang See, Yee Yen Sia, Xueling Sim, Wey Cheng Sim, Jimmy So, Dinna K.N. Soon, E. Shyong Tai, Nicholas Y. Tan, Louis C.S. Tan, Hong Chang Tan, Wilson Lek Wen Tan, Moses Tandiono, Amanda Tay, Sahil Thakur, Yih Chung Tham, Zenia Tiang, Grace Li-Xian Toh, Pi Kuang Tsai, Lavanya Veeravalli, Chandra S. Verma, Ling Wang, Min Rui Wang, Wing-Cheong Wong, Zhicheng Xie, Khung Keong Yeo, Liang Zhang, Weiwei Zhai, Yi Zhao, Cardiovascular Centre (CVC), Lee Kong Chian School of Medicine (LKCMedicine), and School of Biological Sciences
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Male ,medicine.medical_specialty ,Demographic history ,Population ,Genome-wide association study ,HAPLOTYPE ,Biology ,VARIANTS ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,ANCESTRY ESTIMATION ,03 medical and health sciences ,0302 clinical medicine ,Whole-genome Sequencing ,Asian People ,HISTORY ,medicine ,Humans ,WIDE ASSOCIATION ,Medicine [Science] ,Selection, Genetic ,education ,ADAPTATION ,030304 developmental biology ,Whole genome sequencing ,Singapore ,0303 health sciences ,Genetic diversity ,education.field_of_study ,Whole Genome Sequencing ,Asian Populations ,Genome, Human ,Malaysia ,Human genetics ,GENOTYPE ,MODEL ,Genetics, Population ,Evolutionary biology ,Medical genetics ,Female ,HEALTH ,HUMAN-EVOLUTION ,030217 neurology & neurosurgery ,Imputation (genetics) - Abstract
Underrepresentation of Asian genomes has hindered population and medical genetics research on Asians, leading to population disparities in precision medicine. By whole-genome sequencing of 4,810 Singapore Chinese, Malays, and Indians, we found 98.3 million SNPs and small insertions or deletions, over half of which are novel. Population structure analysis demonstrated great representation of Asian genetic diversity by three ethnicities in Singapore and revealed a Malay-related novel ancestry component. Furthermore, demographic inference suggested that Malays split from Chinese ∼24,800 years ago and experienced significant admixture with East Asians ∼1,700 years ago, coinciding with the Austronesian expansion. Additionally, we identified 20 candidate loci for natural selection, 14 of which harbored robust associations with complex traits and diseases. Finally, we show that our data can substantially improve genotype imputation in diverse Asian and Oceanian populations. These results highlight the value of our data as a resource to empower human genetics discovery across broad geographic regions. Agency for Science, Technology and Research (A*STAR) National Medical Research Council (NMRC) National Research Foundation (NRF) Accepted version We acknowledge H.M. Kang, S. Das, A. Tan, F. Zhang, J. Terhorst, P.-R. Loh, and G. Hellenthal for helpful discussions and support from all participants and clinical research coordinators of the contributing cohorts and studies: the TTSH Healthy Control Workgroup, the SEED cohort, the Asian Sudden Cardiac Death in Heart Failure Study, the Singapore Heart Failure Outcomes and Phenotypes (SHOP) cohort, the Asian neTwork for Translational Research and Cardiovascular Trials (ATTRaCT), the Parkinson’s Disease Study, the Peranakan Genome Study, the Platinum Asian Genomes Project, the Bariatric Surgery Study, the National Heart Centre Singapore Biobank and SingHEART cohorts, and the GUSTO and S-PRESTO study groups. This study was supported by Singapore’s A*STAR (core funding and IAF-PP H17/01/a0/007), BMRC (SPF2014/001, SPF2013/002, SPF2014/003, SPF2014/004, and SPF2014/005), NMRC (CIRG/1371/2013, CIRG/1417/2015, CIRG/1488/ 2018, CSA-SI/0012/2017, CG/017/2013, CG/M006/2017_NHCS, TCR/013- NNI/2014, STaR/0011/2012, STaR2013/001, STaR/014/2013, STaR/0026/ 2015, TCR/006-NUHS/2013, TCR/012-NUHS/2014, TCR/004-NUS/2008, TCR/012-NUHS/2014, and center grants 2010-13 and 2013-2017), NRF (NRFF2016-03), National University of Singapore, SingHealth and DukeNUS, and Alexandra Health small innovative grant SIGII/15203 and funding from Huazhong University of Science and Technology, the Tanoto Foundation, the Lee Foundation, the Boston Scientific Investigator Sponsored Research Program and Bayer, the NSF (DEB-1753489), and the Alfred P. Sloan Foundation. The computation was partially performed on resources of the National Supercomputing Centre, Singapore (https://www.nscc.sg).
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- 2019
10. Quantitative Image Analysis of Cellular Morphology Using Amnisî ImageStreamX Mark II Imaging Flow Cytometer: A Comparison against Conventional Methods
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Louis Tong, Evelyn Png, and Stanley Poh
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Slingshot ,Chemotaxis ,Cell migration ,macromolecular substances ,Biology ,Cofilin ,Signal transduction ,Receptor ,Actin cytoskeleton ,Cell biology ,G protein-coupled receptor - Abstract
Chemotaxis, the directional cell migration guided by chemoattractant gradients, plays essential roles in many physiological processes, such as recruitment of neutrophils to sites of inflammation. Neutrophils detect chemoattractants by G protein-coupled receptors (GPCRs). Chemoattractant stimuli activate multiple signaling pathways to regulate directional migration of neutrophils. Recently, we identified a novel GPCR-mediated PLCβγ/ PKCβ/PKD1 signaling axis that regulates cofilin activity through cofilin phosphatase slingshot 2 (SSH2) and remodels actin cytoskeleton during neutrophil chemotaxis. In the future, it will be important to understand how multiple signaling pathways are spatiotemporally regulated to precisely control the rapid remodeling of actin cytoskeleton in the leading front of chemotaxing neutrophils.
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- 2015
11. Quantitative Image Analysis of Cellular Morphology Using Amnisî ImageStreamX Mark II Imaging Flow Cytometer: A Comparison against Conventional Methods
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Evelyn Png, Stanley Poh, primary and Tong, Louis, additional
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- 2015
- Full Text
- View/download PDF
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