63 research outputs found
Bibliometric study on environmental, social, and governance research using CiteSpace
No full textThis paper offers an overview of the status of and emerging trends in environmental, social, and governance (ESG) research through a bibliometric approach using CiteSpace. In particular, our study aimed to elucidate the overall intellectual structure of the environmental, social, and governance academic field. To this end, we performed a topic search related to the environmental, social, and governance field and gathered published articles (2007–2021) from the Web of Science. Subsequently, we identified productive authors, institutes, and countries/regions to determine main research forces in the environmental, social, and governance field. Additionally, we conducted a co-citation analysis to identify highly cited authors, journals, and literatures in the environmental, social, and governance field. Furthermore, we performed a literature-co-citation-based cluster analysis and literature citation burst analysis to confirm the main themes and hotspots of the environmental, social, and governance field. These analyses can contribute to the investigations of key contributing forces in the environmental, social, and governance field at the author, institution, country/region, and journal levels and provide insights into the knowledge structures and orientations of the environmental, social, and governance field for future research.Published versionThis research was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean Government (NRF2020R1A2C1014957)
The combinatorial chemistry revolution: sustaining a superior performance position through technological learning.
No full textJews and gender in British literature 1815-1865.
No full textPhDThis thesis examines the variety of relationships between Jews and gender in early
to mid-nineteenth century British literature, focussing particularly on representations
of and by Jewish women. It reconstructs the social, political and literary context in
which writers produced images and narratives about Jews, and considers to what
extent stereotypes were reproduced, appropriated, or challenged. In particular it
examines the ways in which questions of gender were linked to ideas about religious
or racial difference in the Victorian period.
The study situates literary representations of Jews within the context of
contemporary debates about the participation of the Jews in the life of the modern
state. It also investigates the ways in which these political debates were gendered,
looking in particular at the relationship between the cultural construction of
femininity and English national identity.
It first considers Victorian culture's obsession with Rebecca, the Jewess created in
Walter Scott's influential novel Ivanhoe (1819). It examines Rebecca's refusal to
convert to Christianity in the context of Scott's discussion of racial separatism and
modern national unity.
Evangelical writers like Annie Webb, Amelia Bristow and Mrs Brendlah were
prolific literary producers, and preoccupied with converting Jewish women.
Particularly during the 18'40s and 1850s, evangelical writing provided an important
forum for the construction and consolidation of women's national identity.
Grace Aguilar's writing was an attempt to understand Jewish identity within the
terms of Victorian domestic ideology. In contrast, Celia and Marion Moss, in their
historical romances, offered narratives of female heroism and national liberation,
drawing on the contemporary debate about slavery.
Benjamin Disraeli's construction of a "tough version of Jewish identity was a
response both to the contemporary stereotype of the feminised Jew and to the debate
about Jewish emancipation. It also drew on the virile ideology of the Young England
movement of the 1840s
Micro-engineered perfusable 3D vasculatures for cardiovascular diseases
No full textVessel geometries in microengineered in vitro vascular models are important to recapitulate a pathophysiological microenvironment for the study of flow-induced endothelial dysfunction and inflammation in cardiovascular diseases. Herein, we present a simple and novel extracellular matrix (ECM) hydrogel patterning method to create perfusable vascularized microchannels of different geometries based on the concept of capillary burst valve (CBV). No surface modification is necessary and the method is suitable for different ECM types including collagen, matrigel and fibrin. We first created collagen-patterned, endothelialized microchannels to study barrier permeability and neutrophil transendothelial migration, followed by the development of a biomimetic 3D endothelial-smooth muscle cell (EC-SMC) vascular model. We observed a significant decrease in barrier permeability in the co-culture model during inflammation, which indicates the importance of perivascular cells in ECM remodeling. Finally, we engineered collagen-patterned constricted vascular microchannels to mimic stenosis in atherosclerosis. Whole blood was perfused (1-10 dyne cm-2) into the microdevices and distinct platelet and leukocyte adherence patterns were observed due to increased shear stresses at the constriction, and an additional convective flow through the collagen. Taken together, the developed hydrogel patterning technique enables the formation of unique pathophysiological architectures in organ-on-chip microsystems for real-time study of hemodynamics and cellular interactions in cardiovascular diseases.MOE (Min. of Education, S’pore)MOH (Min. of Health, S’pore)Accepted versio
Early trajectory of clinical global impression as a transdiagnostic predictor of psychiatric hospitalisation: a retrospective cohort study
No full textBackground: Identifying patients most at risk of psychiatric hospitalisation is crucial to improving service provision and patient outcomes. Existing predictors focus on specific clinical scenarios and are not validated with real-world data, limiting their translational potential. This study aimed to determine whether early trajectories of Clinical Global Impression Severity are predictors of 6 month risk of hospitalisation. Methods: This retrospective cohort study used data from the NeuroBlu database, an electronic health records network from 25 US mental health-care providers. Patients with an ICD-9 or ICD-10 code of major depressive disorder, bipolar disorder, generalised anxiety disorder, post-traumatic stress disorder, schizophrenia or schizoaffective disorder, ADHD, or personality disorder were included. Using this cohort, we assessed whether clinical severity and instability (operationalised using Clinical Global Impression Severity measurements) during a 2-month period were predictors of psychiatric hospitalisation within the next 6 months. Findings: 36 914 patients were included (mean age 29·7 years [SD 17·5]; 21 156 [57·3%] female, 15 748 [42·7%] male; 20 559 [55·7%] White, 4842 [13·1%] Black or African American, 286 [0·8%] Native Hawaiian or other Pacific Islander, 300 [0·8%] Asian, 139 [0·4%] American Indian or Alaska Native, 524 (1·4%) other or mixed race, and 10 264 [27·8%] of unknown race). Clinical severity and instability were independent predictors of risk of hospitalisation (adjusted hazard ratio [HR] 1·09, 95% CI 1·07–1·10 for every SD increase in instability; 1·11, 1·09–1·12 for every SD increase in severity; p<0·0001 for both). These associations were consistent across all diagnoses, age groups, and in both males and females, as well as in several robustness analyses, including when clinical severity and clinical instability were based on the Patient Health Questionnaire-9 rather than Clinical Global Impression Severity measurements. Patients in the top half of the cohort for both clinical severity and instability were at an increased risk of hospitalisation compared with those in the bottom half along both dimensions (HR 1·45, 95% CI 1·39–1·52; p<0·0001). Interpretation: Clinical instability and severity are independent predictors of future risk of hospitalisation, across diagnoses, age groups, and in both males and females. These findings could help clinicians make prognoses and screen patients who are most likely to benefit from intensive interventions, as well as help health-care providers plan service provisions by adding additional detail to risk prediction tools that incorporate other risk factors. Funding: National Institute for Health and Care Research, National Institute for Health and Care Research Oxford Health Biomedical Research Centre, Medical Research Council, Academy of Medical Sciences, and Holmusk.</p
NeuroBlu, an electronic health record (EHR) trusted research environment (TRE) to support mental healthcare analytics with real-world data
No full textPURPOSE: NeuroBlu is a real-world data (RWD) repository that contains deidentified electronic health record (EHR) data from US mental healthcare providers operating the MindLinc EHR system. NeuroBlu enables users to perform statistical analysis through a secure web-based interface. Structured data are available for sociodemographic characteristics, mental health service contacts, hospital admissions, International Classification of Diseases ICD-9/ICD-10 diagnosis, prescribed medications, family history of mental disorders, Clinical Global Impression—Severity and Improvement (CGI-S/CGI-I) and Global Assessment of Functioning (GAF). To further enhance the data set, natural language processing (NLP) tools have been applied to obtain mental state examination (MSE) and social/environmental data. This paper describes the development and implementation of NeuroBlu, the procedures to safeguard data integrity and security and how the data set supports the generation of real-world evidence (RWE) in mental health. PARTICIPANTS: As of 31 July 2021, 562 940 individuals (48.9% men) were present in the data set with a mean age of 33.4 years (SD: 18.4 years). The most frequently recorded diagnoses were substance use disorders (1 52 790 patients), major depressive disorder (1 29 120 patients) and anxiety disorders (1 03 923 patients). The median duration of follow-up was 7 months (IQR: 1.3 to 24.4 months). FINDINGS TO DATE: The data set has supported epidemiological studies demonstrating increased risk of psychiatric hospitalisation and reduced antidepressant treatment effectiveness among people with comorbid substance use disorders. It has also been used to develop data visualisation tools to support clinical decision-making, evaluate comparative effectiveness of medications, derive models to predict treatment response and develop NLP applications to obtain clinical information from unstructured EHR data. FUTURE PLANS: The NeuroBlu data set will be further analysed to better understand factors related to poor clinical outcome, treatment responsiveness and the development of predictive analytic tools that may be incorporated into the source EHR system to support real-time clinical decision-making in the delivery of mental healthcare services
Hepatitis B virus reactivation in B-cell lymphoma patients treated with rituximab: analysis from the Asia Lymphoma Study Group
No full textBACKGROUND: Hepatitis B virus (HBV) reactivation is increasing, as rituximab has become widely used for B-cell lymphoma. Thus, prevention and management of HBV reactivation are important in HBV-endemic areas.
METHODS: Hepatitis B virus (HBV) reactivation in HBV surface antigen (HBsAg)-positive patients and HBsAg-negative/HBV core antibody (HBcAb)-positive patients who received rituximab-containing chemotherapy was investigated by the Asia Lymphoma Study Group via retrospective (n=340), and the results were compared to cross-sectional analysis with patients who were prospectively monitored in a single institute (n=127). The goal of the study was to define the frequency of HBV reactivation and the efficacy of antiviral prophylaxis.
RESULTS: HBV reactivation was found in 27.8% of HBsAg-positive patients (45/162) in the retrospective analysis, being significantly less frequent in patients receiving antiviral prophylaxis than those not (22.9%, 32/140 versus 59.1%, 13/22; p<0.001). Lamivudine was most commonly used (96/162, 59.3%), but more than 20% of HBsAg-positive patients showed breakthrough HBV reactivation. In the cross-sectional analysis, a reduced rate of HBV reactivation occurred for entecavir as compared with lamivudine prophylaxis (6.3% versus 39.3%; p<0.05). HBV DNA monitoring of HBsAg-negative/HBcAb-positive patients in the cross-sectional analysis showed HBV reactivation in only 2.4% of cases.
CONCLUSIONS: This is the largest study of HBV reactivation in patients receiving rituximab-containing chemotherapy to date, and we defined the probability of HBV reactivation in an HBV-endemic region.restrictio
New Classification of Liver Biopsy Assessment for Fibrosis in Chronic Hepatitis B Patients Before and After Treatment
No full textLiver fibrosis is the net result of dynamic changes between fibrogenesis and fibrolysis. Evidence has shown that antiviral therapy can reverse liver fibrosis or even early cirrhosis caused by hepatitis B virus. However, current evaluation systems mainly focus on the severity of, but not the dynamic changes in, fibrosis. Here, we propose a new classification to evaluate the dynamic changes in the quality of fibrosis, namely: predominantly progressive (thick/broad/loose/pale septa with inflammation); predominately regressive (delicate/thin/dense/splitting septa); and indeterminate, which displayed an overall balance between progressive and regressive scarring. Then, we used this classification to evaluate 71 paired liver biopsies of chronic hepatitis B patients before and after entecavir-based therapy for 78 weeks. Progressive, indeterminate, and regressive were observed in 58%, 29%, and 13% of patients before treatment versus in 11%, 11%, and 78% after treatment. Of the 55 patients who showed predominantly regressive changes on posttreatment liver biopsy, 29 cases (53%) had fibrosis improvement of at least one Ishak stage, and, more interestingly, 25 cases (45%) had significant improvement in terms of Laennec substage, collagen percentage area, and liver stiffness despite remaining in the same Ishak stage. Conclusion: This new classification highlights the importance of assessing and identifying the dynamic changes in the quality of fibrosis, especially relevant in the era of antiviral therapy.National Science and Technology Major Project [2013ZX10002004]; National Key Technologies RD Program [2015BAI13B09]SCI(E)ARTICLE51438-14506
Evaluation of three polygenic risk score models for the prediction of breast cancer risk in Singapore Chinese
No full textExtranodal natural killer/T-cell lymphoma involving the gastrointestinal tract: analysis of clinical features and outcomes from the Asia Lymphoma study group
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