Algorithmic Analysis of Advancement in Chaining Method With BST & AVL ISSN
In: JETIR May 2019, Band 6
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In: JETIR May 2019, Band 6
SSRN
In: Madhu Bala and Deepak Verma (2020).National Intellectual Property Rights Policy of India - A Review. In Menu Jain, Anita Moudgil (Eds.), Sensitizing and Imparting Awareness about Intellectual Property Rights among Students (1st ed., pp. 125-132).
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In: Madhu Bala and Deepak Verma (2020), "Investigation & Examination of Noise Pollution - Definition, Sources, Effects, Monitoring and Control", International Journal of Research in Social Sciences, Vol. 10, Issue 7, pp. 182-207.
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Working paper
In: Madhu Bala and Deepak Verma (2019). An Empirical Investigation of Managerial Perceptions in Indian Organisations Regarding CSR After Legislation of CSR in India. International Journal of Research in Social Sciences, 9(4), 1098-1136.
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In: M. Bala, D. Verma (2018). Governance to Good Governance through e-Governance - A critical review of Concept, Model, Initiatives & Challenges in India. International Journal of Management, IT & Engineering, 8(10), 224–269.
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In: M. Bala, D. Verma (2018). A Critical Review of Digital Marketing. International Journal of Management, IT & Engineering, 8(10), 321–339.
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In: Journal of consumer behaviour, Band 22, Heft 1, S. 217-232
ISSN: 1479-1838
AbstractThe way consumers behave is fundamental to marketing. Journal of Consumer Behaviour (JCB) is an international journal dedicated to publishing the latest developments of consumer behaviour. To gain an understanding of the evolution and trends in consumer behaviour, this study presents a retrospective review of JCB using bibliometric analysis. Using bibliographic records of JCB from Scopus, this study finds that consumer behaviour research in JCB has grown substantially in terms of collaboration (co‐authorships), global reach (countries), productivity (publications), and impact (citations). The major themes explored by consumer behaviour research in JCB include consumer information processing, consumption communities, consumption value, sustainable consumption, intergenerational consumer behaviour, consumer‐brand relationship, consumer ethics, and conditional relationships in consumer behaviour. The most recent consumer behaviour research in JCB has considered externalities such as the COVID‐19 pandemic and focused on themes such as consumer ethics and sustainable consumption in line with the global movement toward environmental social governance (ESG) and sustainable development goals (SDGs).
In: PNAS nexus, Band 3, Heft 2
ISSN: 2752-6542
Abstract
T-acute lymphoblastic leukemia (T-ALL) is a heterogeneous malignancy characterized by the abnormal proliferation of immature T-cell precursors. Despite advances in immunophenotypic classification, understanding the molecular landscape and its impact on patient prognosis remains challenging. In this study, we conducted comprehensive RNA sequencing in a cohort of 35 patients with T-ALL to unravel the intricate transcriptomic profile. Subsequently, we validated the prognostic relevance of 23 targets, encompassing (i) protein-coding genes—BAALC, HHEX, MEF2C, FAT1, LYL1, LMO2, LYN, and TAL1; (ii) epigenetic modifiers—DOT1L, EP300, EML4, RAG1, EZH2, and KDM6A; and (iii) long noncoding RNAs (lncRNAs)—XIST, PCAT18, PCAT14, LINC00202, LINC00461, LINC00648, ST20, MEF2C-AS1, and MALAT1 in an independent cohort of 99 patients with T-ALL. Principal component analysis revealed distinct clusters aligning with immunophenotypic subtypes, providing insights into the molecular heterogeneity of T-ALL. The identified signature genes exhibited associations with clinicopathologic features. Survival analysis uncovered several independent predictors of patient outcomes. Higher expression of MEF2C, BAALC, HHEX, and LYL1 genes emerged as robust indicators of poor overall survival (OS), event-free survival (EFS), and relapse-free survival (RFS). Higher LMO2 expression was correlated with adverse EFS and RFS outcomes. Intriguingly, increased expression of lncRNA ST20 coupled with RAG1 demonstrated a favorable prognostic impact on OS, EFS, and RFS. Conclusively, several hitherto unreported associations of gene expression patterns with clinicopathologic features and prognosis were identified, which may help understand T-ALL's molecular pathogenesis and provide prognostic markers.