369 research outputs found
Demokratie als Ziel und als Weg: Arjun Karki zum Hintergrund der gegenwärtigen politischen Konfliktlage in Nepal
No full textAuszüge aus mehreren Gesprächen mit Dr. Arjun Karki, Geschäftsführer des größten nationalen Dachverbandes nepalesischer Nichtregierungsorganisationen NGO Federation Nepal in Bonn
Interview with Professor Dr. Arjun Karki
No full textProfessor Dr. Arjun Karki, the founding Vice-Chancellor of the Patan Academy of Health Sciences (PAHS), is a distinguished Nepali physician, academic, and institutional leader. He is widely recognized for his contributions to pulmonary and critical care medicine, as well as for his transformative role in advancing higher education reform in Nepal. Dr. Karki spearheaded initiatives to embed innovative, student-centered, and socially responsive approaches into medical education, notably introducing mandatory rural health postings to foster community engagement and equity in healthcare delivery. His leadership has been instrumental in institution-building and in nurturing a robust education & research ecosystem within the country. Currently serving as the Vice-Chancellor of the University of Nepal, Dr. Karki continues to exemplify his enduring commitment to educational reform and institutional excellence. The Journal of Patan Academy of Health Sciences extends its sincere gratitude to Dr. Karki for his generous and thoughtful engagement in responding to the written questions prepared for this interview
Precision Health and AI: improving health for everyone - Arjun Panesar (DDM Health)
No full textThis video is the twelfth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 14/09/2022.
Precision Health and AI: improving health for everyone - Arjun Panesar (DDM Health)
Bio: Arjun Panesar is the founder of DDM Health, providers of clinically-validated digital health solutions to over 1.8 million people. Benefiting from almost two decades of experience in big data, AI and AI ethics, Arjun leads the development of evidence-based digital innovations that harness the power of machine learning to provide precision medicine to patients, health services, and governments. Arjun’s work has received international recognition featuring in the Forbes, New Scientist, BBC and The Times. Arjun is a best-selling author on the topics of healthcare and AI, authoring two editions of Machine Learning and AI in Healthcare, and contributing to Handbook of Global Health, a major reference work. Arjun is an advisor to the Information School, University of Sheffield, Fellow to the NHS Innovation Accelerator, visiting lecturer at University of Warwick Medical School, and was recognised by Imperial College as an Alumni Leader for his contribution and impact to society.
Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/
This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1
YouTube Link: https://youtu.be/clPmdeLP5_
Financial Management of Globalization of Developing Countries
No full texthuman development, economic growth, globalization, inequality, poverty
Tension and contradiction in agrarian reform and rural reconstruction in post-monarch Nepal
No full textAgrarian reform and land reform are usually understood synonymously as they are embedded with the unequal agrarian structure in Nepal. A widespread objective of agrarian reform is to promote social justice by equitable distribution of land and resources. Agrarian reform includes the restructuring of land tenure, the means of production, and the provision of support services to the farmers and rural inhabitants.
In Nepal land is the principle determinant for classifying people into distinct classes. Due to the various state-led land grants, unequal socio-economic relations and growing population density, little ‘free’ land is available these days (Karki, 2001). More than 22 per cent of Nepalese people are landless in Nepal (CBS, 2004). Nepal has passed through many political upheavals and is experiencing diverse governing systems till date. But the issues of agrarian reform have not been properly addressed yet. Most of the landlords, who were granted state lands were not directly involved in farming but contracted with tenant farmers on a customary and hereditary basis
Corotation Resonance of Non-barred Spiral Galaxies
No full textUniversity of Minnesota M.S. thesis.June 2018. Major: Physics. Advisor: Marcus Seigar. 1 computer file (PDF); vii, 70 pages.One of the main assumptions of density wave theory is that it predicts the existence of corotation resonances in spiral galaxies. We have used the multi-band photometric method, as introduced by Puerari & Dottori (1997), to determine the location of the corotation resonance in a sample of 19 non-barred spiral galaxies. The method is based on the Fourier analysis of azimuthal profiles of images of galaxies. Another assumption of density wave theory is the presence of a stellar azimuthal age gradi- ent across spiral arms. This age gradient is formed because of shock-induced star formation in a stellar density wave. The direction of the age gradient switches at the corotation radius. We performed Fourier transformations on the azimuthal profiles of galaxy images and calculated the phase angle for each waveband, B, V, R and I. Then, we plotted the phase angle of every waveband as a function of radius. The radius at which the phase angles cross represents the location of the corotation resonance. We found that 15 out of 19 galaxies have a single phase crossing which denotes the location of a single CR while the remaining 4 galaxies were found to have a corotation region, where more than one phase crossing occurred within a ra- dial range of less than 5 arcseconds. Finally, swing amplification does not predict an age gradient across spiral arms and therefore it does not predict the existence of the corotation resonance. We have found evidence of such age gradients and corotation radii, and we can therefore rule out swing amplification models in favor of quasi-static density wave models. Keywords: galaxies: kinematics and dynamics - galaxies: spiral - galaxies: structure.Karki, Arjun. (2018). Corotation Resonance of Non-barred Spiral Galaxies. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/202085
Freedom of choice or force of circumstance? : Eastern European sex-workers in the Republic of Cyprus ; paper for the conference 'Alltag der Globalisierung. Perspektiven einer transnationalen Anthropologie', January 16-18, 2003, Institute of Cultural Anthropology and European Ethnology, Johann Wolfgang Goethe University, Frankfurt am Main
No full textThis paper focuses on Eastern European migrants who, since the beginning of the 1990s, are entering the Republic Cyprus as “artistes”. This is a visa permit status as well as an euphemism for short-term work permits in the local sex industry. In addition to exploring the migrational experiences of these women and their living and working conditions in the Republic of Cyprus, the paper reconstructs, empirically and analyt ically, the connection between immigration and the local sex industry. Here, several categories of social actors and institutions in Cyprus are actively involved. The rhetoric of government representatives, entrepreneurs and clients in the sex business on the one hand is contrasted with the discourse of local NGO representatives concerned with immigrants’ rights on the other hand. The paper comes to the conclusion that all of these discursive positions ultimately do not do justice to the complex process of decisionmaking that women undergo who migrate into the sex industry. Either, freedom of choice is emphasized – such as by entrepreneurs and the government – or the domination of women – as in the public statements of the NGO. In order to analyze the ambivalent tension between freedom of choice and submission to force by which the women’s decision is characterized, the author employs Michel Foucault’s concept of governmentality, which describes forms of political regulation that use the individual’s freedom of action as an instrument to exercise power
Guanylate binding proteins facilitate caspase-11-dependent pyroptosis in response to type 3 secretion system-negative Pseudomonas aeruginosa
No full textDetection of bacterial ligands is a pre-requisite for inflammasome activation. During Pseudomonas aeruginosa infection, flagellin which is secreted through the T3SS is detected by the NLRC4 inflammasome. Activation of the NLRC4 inflammasome is believed to contribute to high IL-1 beta production and pathogenicity in cystic fibrosis patients with chronic P. aeruginosa infection. Interestingly, the majority of P. aeruginosa isolated from cystic fibrosis patients with chronic airway infection are non-motile and T3SS-negative, suggesting that yet un-characterized inflammasome pathways regulate IL-1 beta production in cystic fibrosis patients. Here we demonstrate the role of guanylate-binding proteins (GBPs) in regulating bacterial proliferation and inflammasome activation in response to T3SS-negative P. aeruginosa. Bacterial ligands liberated by the action of GBP2 and IRGB10 activate caspase-11 and regulate non-canonical NLRP3 inflammasome activation and IL-1 beta release. Overall, our results reveal the role of caspase-11 in inhibiting bacterial proliferation and promoting IL-1 beta secretion during T3SS-negative P. aeruginosa infection. This study suggests that non canonical inflammasomes might have co-evolved to detect Gram-negative bacterial pathogens that have evolved to bypass detection by canonical NLRs.Y
Gasdermin D Promotes AIM2 Inflammasome Activation and Is Required for Host Protection against Francisella novicida
No full textThe DNA sensor absent in melanoma 2 (AIM2) forms an inflammasome complex with ASC and caspase-1 in response to Francisella tularensis subspecies novicida infection, leading to maturation of IL-1 beta and IL-18 and pyroptosis. AIM2 is critical for host protection against F. novicida infection in vivo; however, the role of pyroptosis downstream of the AIM2 inflammasome is unknown. Recent studies have identified gasdermin D (GSDMD) as the molecule executing pyroptosis by forming pores on the plasma membrane following activation by inflammatory caspase-1 and -11. In this study, we report that GSDMD-deficient mice were susceptible to F. novicida infection compared with wild type mice. Interestingly, we observed that GSDMD is required for optimal caspase-1 activation and pyroptotic cell death in F. novicida-infected bone marrow-derived macrophages. Furthermore, caspase-1 activation was compromised in bone marrow-derived macrophages lacking GSDMD stimulated with other AIM2 inflammasome triggers, including poly(dA:dT) transfection and mouse CMV infection. Overall, our study highlights a function, to our knowledge previously unknown, for GSDMD in promoting caspase-1 activation by AIM2 inflammasome.Y
Fine-tuning generative models
No full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 73-76).Deep generative models have emerged as a powerful modeling paradigm for making sense of large amounts of unlabeled real-world data. In particular, the representations produced by these models have proven to be useful both in improving human understanding of the factors of variation in the original dataset and in downstream tasks such as classification. Most current algorithms, however, require training a bespoke model from scratch, which can be both expensive and time-consuming. Instead, we propose various methods of fine-tuning pre-trained generative models to achieve these goals, and evaluate these methods quantitatively on few-shot classification and interpretability tasks.by Arjun Khandelwal.M. Eng.M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienc
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