Life Cycle Impact Assessment Method for Early Design Phase of Industrial Products

The objective of this thesis is to develop a simplified life cycle impact assessment method that can reliably and quickly provide the values of Eco-indicator 99 single score, the Eco-indicator damage categories score (human health, ecosystem quality, resource depletion), environmental impacts like global warming, ozone depletion, acidification, eutrophication, photochemical oxidants potential of the product/process, which could be used in the initial design stages for alternative design comparisons and product improvements, thus leading towards green manufacturing. To achieve this, a variety of products have been chosen and the life cycle inventory data is gathered from the environmental product declarations that are provided by the original equipment manufacturers. Lifetime energy consumption of these products is then checked against all of these indicators for any correlation. The lifetime energy consumption is found to be highly correlated with all the environmental indicators except the ozone depletion potential. A Linear relationship is developed between these environmental indicators and the lifetime energy consumption. For the overall environmental impact assessment score, the single score was found by using the Eco- Indicator 99 H/A (Hierarchist perspective) normalization/weighting set as provided in the Simapro 6.0 software. Regression equations for the damage categories i.e. human health, ecosystem quality, and resources are also established. These equations for the damage categories can be helpful in avoiding weighting issues and thus provide an easier way to make comparisons of different product alternatives over these damage categories. On further analysis of the results of the performed LCAs, the chosen products are then categorized according to their nature of use. Commercial purpose products and the residential purpose products are analyzed separately for these relationships. From this set of equations, an environmentally conscious design paradigm could be established and integrated into the entire purview of industrial product design methodology

Recurrent patterns of DNA copy number alterations in tumors reflect metabolic selection pressures.

Copy number alteration (CNA) profiling of human tumors has revealed recurrent patterns of DNA amplifications and deletions across diverse cancer types. These patterns are suggestive of conserved selection pressures during tumor evolution but cannot be fully explained by known oncogenes and tumor suppressor genes. Using a pan-cancer analysis of CNA data from patient tumors and experimental systems, here we show that principal component analysis-defined CNA signatures are predictive of glycolytic phenotypes, including 18F-fluorodeoxy-glucose (FDG) avidity of patient tumors, and increased proliferation. The primary CNA signature is enriched for p53 mutations and is associated with glycolysis through coordinate amplification of glycolytic genes and other cancer-linked metabolic enzymes. A pan-cancer and cross-species comparison of CNAs highlighted 26 consistently altered DNA regions, containing 11 enzymes in the glycolysis pathway in addition to known cancer-driving genes. Furthermore, exogenous expression of hexokinase and enolase enzymes in an experimental immortalization system altered the subsequent copy number status of the corresponding endogenous loci, supporting the hypothesis that these metabolic genes act as drivers within the conserved CNA amplification regions. Taken together, these results demonstrate that metabolic stress acts as a selective pressure underlying the recurrent CNAs observed in human tumors, and further cast genomic instability as an enabling event in tumorigenesis and metabolic evolution

Deep Learning with Functional Inputs

We present a methodology for integrating functional data into deep densely connected feed-forward neural networks. The model is defined for scalar responses with multiple functional and scalar covariates. A by-product of the method is a set of dynamic functional weights that can be visualized during the optimization process. This visualization leads to greater interpretability of the relationship between the covariates and the response relative to conventional neural networks. The model is shown to perform well in a number of contexts including prediction of new data and recovery of the true underlying functional weights; these results were confirmed through real applications and simulation studies. A forthcoming R package is developed on top of a popular deep learning library (Keras) allowing for general use of the approach.Comment: 28 pages, 6 figures, submitted to JCG

Some Novel Di- & Tetra-cyclopentadienyl-tungsten(VI) & Di- & Tetra-Indenyl-tungsten(VI) Oxides & Sulphides

150-15

Dicarboxylato & Salicylato Chelates of Oxotungsten(VI)

912-91

Progress in superconductivity: The Indian Scenario

India has made rapid progress in the field of high temperature superconductivity, beginning at the time of publication of the Zeitschrift fur Physik paper by Bednorz and Muller. Phase 1 of the program was conceived by the Department of Science & Technology of the Government of India. It consisted of 42 projects in the area of basic research, 23 projects in applications and 4 short-term demonstration studies. The second phase started in October 1991 and will run through March 1995. It consists of 50 basic research programs and 24 application programs. The total investment, mainly consisting of infrastructural development to supplement existing facilities and hiring younger people, has amounted to about Indian Rupees 40 crores, equivalent to about US$13 million. The expenditure for the period 1992-1997 shall be up to about Rs. 27 crores, equivalent to about US$ 9 million. The basic idea is to keep pace with developments around the world

Nitro & Nitrito Derivatives of Dicyclopentadienyl & Bisindenyl Tungsten(VI) Oxychlorides

622-62

Impact of critical pedagogy on professional learning for post-16 education

Purpose Professional learning has been highlighted as critical to improvement in educational practice for Autistic learners. Empirical evidence about what is effective for professional learning in education suggests it is a “bottom-up” process of intellectual, practical and emotional engagement and application of new knowledge to specific contexts. The purpose of this study was to gather information about postgraduate professional learning that sought to combine lived experience with reflection on practice in a critical pedagogy approach for practitioners working with Autistic learners in post-16 education. Design/methodology/approach Participants in the study represented all further education (FE) colleges in Wales and included experienced teachers and leaders, most of whom have a role focused on inclusion and learning support within their setting. Two phases of data collection were carried out, namely, a baseline survey (n = 36) and follow-up interviews (n = 15) at the end of the year of study. Interviews explored personal experiences of learning, knowledge and beliefs about practice and change in this respect and professionals’ priorities for the development of practice. Findings Findings present information gathered from the interviews and indicate that the course did not provide practitioners with new knowledge about autism but supported the development of more nuanced understandings of autism and more professional confidence about practice. However, familiarisation with lived experience and critical reflection on practice were described as supporting the questioning of basic assumptions and greater appreciation of the nature of difference for Autistic learners. Originality/value Study findings reframe what should be considered the focus of support practices for Autistic learners in FE. </jats:sec

Interrelationship of Smoking, Lip and Gingival Melanin Pigmentation, and Periodontal Status

Background: Cigarette smoking is a significant risk factor for periodontal disease. It also causes pigmentation of oral mucosa. The present study was aimed to assess the effects of smoking on lip and gingival pigmentation and periodontal status and the relationship between pigmentation and periodontal parameters. Methods: A total of 109 smokers and an equal number of non-smoker controls (mean age: 35.9 years, range: 35-44 years) comprised the study sample. All the participants were assessed for pigmentation on lip and gingiva and overall periodontal status (gingival bleeding, probing depth, and loss of attachment at six points in each tooth). Findings: All the smokers in this study had lip and gingival pigmentation. Two-third of non-smokers had no pigmentation. The mean scores of lip and gingival pigmentation in smokers were seven and four times higher than those of non-smokers, respectively. Pigmentation and periodontal parameters (except gingival bleeding) were found to be positively related with exposure to smoking exposure. Probing depth and loss of attachment were the highest in subjects with pigmented lips and grade three pigmented gingiva. Conclusion: Smoking influenced lip and gingival pigmentation and periodontium. All individuals with lip pigmentation presented some form of gingival pigmentation. Probing depth and loss of attachment were more severe in subjects with lip and gingival pigmentation. Keywords: Oral mucosa, Pigmentation, Smoking, Periodontiu