91 research outputs found
Another reason science and the imagination of modern India
No full text"Another Reason is a bold and innovative study of the intimate relationship between science, colonialism, and the modern nation. Gyan Prakash, one of the most influential historians of India writing today, explores in fresh and unexpected ways the complexities, contradictions, and profound importance of this relationship in the history of the subcontinent. He reveals how science served simultaneously as an instrument of empire and as a symbol of liberty, progress, and universal reason - and how, in playing these dramatically different roles, it was crucial to the emergence of the modern nation." "Throughout, Prakash draws on major and minor figures on both sides of the colonial divide, including Mahatma Gandhi, Jawaharlal Nehru, the nationalist historian and novelist Romesh Chunder Dutt, Prafulla Chandra Ray (author of A History of Hindu Chemistry), Rudyard Kipling, Lord Dalhousie, and John Stuart Mill."--BOOK JACKET
Distinguishing ’Sugar’, ’Gravel, ’Flowers’ and ’Fish’ mesoscale cloud patterns in the trades using cluster analysis
No full textIn this thesis we are interested in distinguishing patterns of mesoscale cloud patterns in the trades. Specifically, whether Sugar, Gravel, Fish and Flowers patterns can objectively be identified using physical quantities. For this purpose, we use cloud fraction data attained by the CORAL Ka-Band cloud radar at the Barbados Cloud Observatory during the boreal winter seasons of 2018, 2019 and 2020. These cloud fraction data represents the curves up until a height of 4 km for a given 6-hour interval of time. We do this to see if these clusters match up with the labels assigned to each cloud fraction curve obtained from a classification model used in Schulz (2021). Firstly, we map the cloud fraction curves onto points on a finite dimensional space using functional principal component analysis. We subsequently apply K-means, Gaussian Mixture Models and Mean Shift clustering onto the pre-processed dataset to identify any robust clusters. We have been able to attain robust Sugar-like clusters for K-means for 3 and 4 partitions and Mean Shift with bandwidth λ ≈ 585. This provides evidence that we are able to use cloud fraction data to distinguish Sugar. However, the same can not be said for Gravel, Fish and Flowers as we have not been able to identify them in our analysis. It is suggested for future research to do sensitivity analysis in the height interval of the cloud fraction data, that outliers are omitted and that the labeled data from Schulz (2021) are used instead of the mean and spread of the data pertaining to those labels.Applied Mathematics | Applied Physic
Correction:Idelalisib exposure before allogeneic stem cell transplantation in patients with follicular lymphoma: an EBMT survey
Full text linkThe article “Idelalisib exposure before allogeneic stem cell transplantation in patients with follicular lymphoma: an EBMT survey”, written by Leopold Sellner, Johannes Schetelig, Linda Koster, Goda Choi, Didier Blaise, Dietrich Beelen, Fabrizio Carnevale Schianca, Jakob Passweg, Urs Schanz, Emmanuel Gyan, Federica Sora, Nicolaus Kröger, Gerald. G. Wulf, Gwendolyn Van Gorkom, Jiri Mayer, Corentin Orvain, Jean Henri Bourhis, Pavel Jindra, Victoria Potter, Francesco Zallio, Elisabeth Vandenberghe, Stephen Robinson, Patrick J. Hayden, Ibrahim Yakoub-Agha, Silvia Montoto, Peter Dreger, on behalf of the European Society for Blood and Marrow Transplantation Lymphoma and Chronic Malignancies Working Parties, was originally published Online First without Open Access. After publication in volume 55, issue 12, page 2335–2338, the author decided to opt for Open Choice and to make the article an Open Access publication.</p
Computational methods to understand clonal evolutionary dynamics of leukemia under treatment
No full textLeukemia is one of the most common cancers being diagnosed in children and adults. There are different types of leukemia, and each of them exhibits a range of histopathological features/molecular profiles that require different therapeutic approaches. With such a wide spectrum, there is an urgent need to properly profile the heterogeneity of leukemia’s architecture under different treatments, in order to administer therapies tailored to each patient (Chapter 1). With the advent of high-throughput sequencing technologies, we can comprehensively quantify the variants’ abundances using deep targeted DNA sequencing, to detect variants that may have been missed by the traditional sequencing approaches. We have implemented a bioinformatic pipeline, which profiles background sequencing errors, to identify somatic candidate variants, with statistical confidence, at a sensitive threshold (Chapter 2).
Using chronic lymphocytic leukemia (CLL) as an illustration, we performed deep targeted DNA sequencing on 33 CLL patients, which are TP53 naïve or relapsed/refractory, treated with ibrutinib monotherapy, and their specimens were collected at homogenous, longitudinal timepoints up to 144 weeks, including before treatment initiation, along with their matched-normal samples. Previous studies have shown that minimal residual disease (MRD) of ibrutinib-treated patients rarely achieve negativity, although their progression-free survival is significantly improved by inactivating Bruton’s tyrosine kinase (BTK) and thus the B cell receptor (BCR) signaling pathway with ibrutinib. By applying our implemented pipeline, we identify a total of 959 variants in all patients, and the genomic architecture of CLL under ibrutinib is very similar across most patients (average Nei’s standard genetic distance is ~0.0006), with the exception of patient 16-014 that manifests genomic heterogeneity starting from 72 weeks after receiving therapy (pairwise genetic distances between week 96 and previous timepoints are ≤0.01). Furthermore, none of the relapsed patients (n = 6) is detected with BTK and/or phospholipase C gamma 2 (PLCG2) mutations, with the exception of patient 04-005, in which we identify clonal expansion of a BTK mutation (at allele frequency of 2-39% from weeks 48-72) and four minute PLCG2 mutations (≤2% at week 72). This suggests that DNA mutations may not play role in shaping the MRD architecture (Chapter 3).
In addition, we conducted single-cell RNA-seq on three CLL patients (17-102, 04-002, and 17-100) from the same cohort, up to 24 weeks after ibrutinib treatment, to study the transcriptomic profile of MRD architecture. We identify a union set of 219 biologically variable genes (for all patients) and 164 co-expressed genes (in at least one patient). We detect downregulation of the BCR pathway (with its possibly reactivation in some week 24 cells of 17-102 and 17-100) and FCER2/CD23 gene, as well as up-regulation of the MAPK, NF-κB, and RAS signaling pathways and CXCR4/CD184 gene as the response signatures in these three patients, even just after two weeks of treatment, supporting the notion that non-genetic factors are influencing the evolutionary trajectory of CLL. Further investigations are needed to fully understand molecular mechanisms behind these transcriptomic signatures, with the goal of designing combination therapeutics to target sustaining MRD (Chapter 4).Ph.D.Includes bibliographical reference
A Path to Truthful Living (A Way of Life based on Guru Nanak's Panj Khand of Jap Hymns) AUTHOR: Dr. D. P. Singh; REVIEWER: Dr. H.S. Virk
No full textDr. D.P. Singh is a brilliant Physicist by training, a practicing Gursikh, and a dedicated researcher of Science and Sikhism. I was wondering how a physicist would justify his new venture as the Director of the Centre for Understanding Sikhism? After reading his half a dozen books on the Sikh religion, I am fully satisfied and testify that DP Singh is one of the best Sikh theologians in the Sikh world. He has not only imbibed the spirit of Sikhi based on the core principles of the Sikh scripture, Sri Guru Granth Sahib, but also interpreted its message for Sikhs in general and Sikh Youth in particular using scientific methodology. Dr. Bhai Harbans Lal, a celebrated Scientist and a Theologian himself, mentions briefly in the introduction that DP Singh deems it necessary to give a background of the contents of this book before the discussion of the main theme. He presents the main topics under discussion by DP Singh and elaborates on the social and cultural background in which Guru Nanak launched his revolutionary mission to reform society, which was riven by the decadent religiosity of his times. The author explains the purpose of writing “A Path to Truthful Living” in his Foreword: “This book is not a mere intellectual exercise or a scholarly treatise. It is a heartfelt exploration of Guru Nanak’s timeless teachings, presented in a way that seeks to touch the very core of our being”. The author further elaborates the central theme of his book: “The Panj Khands are five distinct domains of existence described by Guru Nanak in his profound compositions. Through the exploration of the Dharam Khand (Domain of Righteousness), Gyan Khand (Domain of Knowledge), Saram Khand (Domain of Endeavour), Karam Khand (Domain of Grace), and Sach Khand (Domain of Truth), we are encouraged to reflect on the nature of our thoughts, actions, and beliefs”
Service quality in supply chain: empirical evidence from Indian automotive industry
No full textPurposeThis paper aims to conceptualize the role of service quality in the manufacturing supply chain, present a scale to measure the same, and a model that proposes that internal and external service quality initiatives lead to loyalty and satisfaction of supplier, which in turn are determinants of competitive advantage and organizational performance of the focal organization.Design/methodology/approachThe research design for this paper includes a combination of literature review, exploratory interviews with scholars and practitioners, and a survey of 156 practitioners in three automobile‐manufacturing companies in North India. Structural equation modeling has been used for data analysis.FindingsThe paper has developed a scale to measure service quality in the supply chain, and presented a model and set of propositions related to service quality in the supply chain. The model proposes linkages of service quality with loyalty, satisfaction, competitive advantage and organizational performance. The author has empirically tested the model at supplier‐manufacturer dyad and found that the data fit the model.Research limitations/implicationsFuture researchers could validate this scale, and empirically test the proposed model. Insights derived from supplier‐manufacturer dyad may be transferred to other dyads of supply chain such as manufacturer‐distributor, distributor‐retailer, and manufacturer and its own employees.Practical implicationsThis study would be of interest to manufacturing industry practitioners interested in internal and external service quality improvements. This study finds support for strengthening relationships between a focal organization and its suppliers. Service quality‐based business processes can help strengthen business relationships, develop synchronized linkages between supply chain members, and consequently gain competitive advantage.Original/valueThere are few empirical studies that measure service quality in manufacturing industries or the supply chain. The role of internal and external service quality and their linkages with loyalty, satisfaction, competitive advantage and organizational performance has previously not been conceptualized.</jats:sec
Image Based Social Media and The Tourist Gaze A Phenomenological Approach
Full text linkabstract: The emergence of social media in concert with improved camera and cell phone technologies has helped usher in an age of unprecedented visual communication which has radically changed the tourism industry worldwide. Serving as an important pillar of tourism and leisure studies, the concept of the tourist gaze has been left relatively unexamined within the context of this new visual world and more specifically image based social media. This phenomenological inquiry sought to explore how image based social media impacts the concept of the tourist gaze and furthermore to discover how the democratization of the gaze in concert with specific features of image based social media applications impacts the hermeneutic circle of the tourist gaze. This in-depth analysis of the user experience within the context of travel consisted of 19 semi-structured photo elicitation interviews and incorporated 57 participant generated photos. Six salient themes emerged from the study of this phenomenon; 1) sphere of influence, 2) exchange of information, 3) connections manifested, 4) impression management and content curation, 5) replicated travel photography, and 6) expectations. Analysis of these themes in conjunction with examples from the lived user experience demonstrate that the tourist gaze is being accelerated and expanded by image based social media in a rapid manner. Furthermore, democratization of the gaze as enabled by technological developments and specialized social media platforms is actively shifting the power role away from a small number of mass media influencers towards a larger number of branded individuals and social media influencers. Results of this inquiry support the theoretical assertions that the tourist gaze adapts to social and technological developments and demonstrates that the concept of the tourist gaze is increasingly important within tourism studies. Practical implications regarding the prevalence of real-time information, site visitation, and “taking only pictures” as sustainable touristic behavior are discussed.Dissertation/ThesisMasters Thesis Community Resources and Development 201
Demonstrating a hyperledger fabric-based blockchain with knowledge graphs for a supply chain ecosystem
No full textSupply chain management is one of the leading applications of chain-based distributed ledger technology, such as blockchain, due to its features of traceability, automation through smart contracts, tamper-resistance and immutability. One of the most common types of blockchain implementation for a supply chain ecosystem is Hyperledger Fabric, which follows a modular architecture. Within the supply chain, innovators have been emphasising scenario generation for trade optimisation via predictive algorithms using content from the blockchain. However, to support such utilities, a pipeline with data accessibility is required, which is the motivation behind this work. Chaincode, InterPlanetary File System (IPFS) and off-chain execution enable the pipeline to provide knowledge graphs that can further facilitate insights into the type of blockchain data with better control and privacy-aware filtration
- …
