Getting diverse students and staff to talk about integration on campus, and what they say when they do: A UK-India collaborative case study.

This paper reports the early stages of a UKIERI-funded project, ‘Widening Participation: Diversity, isolation or integration in Higher Education?’.The project is concerned with greater equity, social justice, community and social cohesion within the current globalised, market oriented context of higher education (HE), and with enabling students to be better prepared for, and thrive in social networks and work-related arenas which are increasingly diverse, multicultural, interdependent and global. The main aim of this 3 year project is to explore the nature of social cohesion, integration and separation, diversity, equality and discrimination experienced by diverse, minority, disadvantaged and under-represented students attending HE in UK and India. Group stereotypes are often subconsciously held, emerging into consciousness only when they appear confirmed or confounded by personal experience or public events. Where there is little knowledge or personal experience then reliance upon group stereotypes is more likely (Kunda & Thagard, 1996). This can impact upon student and staff expectations of, responses to, and interactions with each other. Individual students’ experiences and perceptions lie at the core of this project, but the ultimate purpose is to illuminate our understanding as to how these are mediated, shaped and formed, in relation to and in interaction with the structures and contextual features of the educational environments in which they, as students, are located. It is thus framed by socio-cultural rather than psychological or therapeutic theories and is located within a social-constructivist perspective (Moore, 2000). Social constructivism facilitates the development of improved understandings of educational and social environments that shape rather than determine individual dispositions towards social diversity encountered on campus. It is highly suited to the understanding of perceptions, and exploring resonances with actions, reactions and interactions. The initial stage of this project involved inviting students and staff (academic and support staff) from five HE colleges and universities in England and India to keep a record (written and photographic) of what for them seemed to be important and relevant events relating to what they saw, heard, did and experienced on campus for a period of 1 month, in teaching, learning and social situations; namely interactions in classes and social settings; what seem to be good experiences and what seem to be negative ones; how and if their particular knowledge and experiences were used, valued and incorporated into their HE experience and learning or how they were negated. A sample size of 90 record keepers was sought across the participating institutions. Getting that sample presented significant difficulties to all but one of the participating institutions, and raised questions about • the methods initially adopted, • the general willingness of students and staff to address and share issues relating to diversity, equality, social cohesion and integration on HE campuses with researchers • cultural differences in accessing respondents to take part in the research Additional data collection methods were adopted and by January 2009 the intended sample size almost met. This paper will address the problems encountered in undertaking the first stage of this research and present initial findings from the data that were eventually obtained

Genetic diversity, population structure, and genome‑wide association study for the flowering trait in a diverse panel of 428 moth bean (Vigna aconitifolia) accessions using genotyping by sequencing

Background Moth bean (Vigna aconitifolia) is an underutilized, protein-rich legume that is grown in arid and semiarid areas of south Asia and is highly resistant to abiotic stresses such as heat and drought. Despite its economic importance, the crop remains unexplored at the genomic level for genetic diversity and trait mapping studies. To date, there is no report of SNP marker discovery and association mapping of any trait in this crop. Therefore, this study aimed to dissect the genetic diversity, population structure and marker-trait association for the flowering trait in a diversity panel of 428 moth bean accessions using genotyping by sequencing (GBS) approach. Results A total of 9078 high-quality single nucleotide polymorphisms (SNPs) were discovered by genotyping of 428 moth bean accessions. Model-based structure analysis and PCA grouped the moth bean accessions into two subpopulations. Cluster analysis revealed accessions belonging to the Northwestern region of India had higher variability than accessions from the other regions suggesting that this region represents its center of diversity. AMOVA revealed more variations within individuals (74%) and among the individuals (24%) than among the populations (2%). Marker-trait association analysis using seven multi-locus models including mrMLM, FASTmrEMMA FASTmrEMMA, ISIS EM-BLASSO, MLMM, BLINK and FarmCPU revealed 29 potential genomic regions for the trait days to 50% flowering, which were consistently detected in three or more models. Analysis of the allelic effect of the major genomic regions explaining phenotypic variance of more than 10% and those detected in at least 2 environments showed 4 genomic regions with significant phenotypic effect on this trait. Further, we also analyzed genetic relationships among the Vigna species using SNP markers. The genomic localization of moth bean SNPs on genomes of closely related Vigna species demonstrated that maximum numbers of SNPs were getting localized on Vigna mungo. This suggested that the moth bean is most closely related to V. mungo. Conclusion Our study shows that the north-western regions of India represent the center of diversity of the moth bean. Further, the study revealed flowering-related genomic regions/candidate genes which can be potentially exploited in breeding programs to develop early-maturity moth bean varieties

Haemodynamics and Oxygenation of the Tumor Microcirculation

Abnormalities of the tumor vasculature and their consequences on the microenvironment of tumor cells impact on tumor progression and response to both blood-borne anti-cancer agents and radio-therapy, as well as making tumor blood vessels a target for therapy in their own right. Intravital microscopy of experimental tumors, most commonly grown in ‘window’ chambers, such as the dorsal skin fold chamber in mice and rats, enables investigations of tumor microcirculatory function. This is needed both to understand the molecular control of tumor vascular function and to measure the response of the vasculature to treatment. In particular, intravital microscopy enables parameters associated with blood supply, vascular permeability and oxygenation to be estimated, at high spatial and temporal resolution. In this chapter, methods used for measuring a range of these parameters, specific examples of their applications, the significance of findings and some of the limitations of the techniques are described

LoCoMo-Net : a low -complex deep learning framework for sEMG-based hand movement recognition for prosthetic control

Background: The enhancement in the performance of the myoelectric pattern recognition techniques based on deep learning algorithm possess computationally expensive and exhibit extensive memory behavior. Therefore, in this paper we report a deep learning framework named 'Low-Complex Movement recognition-Net' (LoCoMo-Net) built with convolution neural network (CNN) for recognition of wrist and finger flexion movements; grasping and functional movements; and force pattern from single channel surface electromyography (sEMG) recording. The network consists of a two-stage pipeline: 1) input data compression; 2) data-driven weight sharing. Methods: The proposed framework was validated on two different datasets- our own dataset (DS1) and publicly available NinaPro dataset (DS2) for 16 movements and 50 movements respectively. Further, we have prototyped the proposed LoCoMo-Net on Virtex-7 Xilinx field-programmable gate array (FPGA) platform and validated for 15 movements from DS1 to demonstrate its feasibility for real-time execution. Results: The effectiveness of the proposed LoCoMo-Net was verified by a comparative analysis against the benchmarked models using the same datasets wherein our proposed model outperformed Twin- Support Vector Machine (SVM) and existing CNN based model by an average classification accuracy of 8.5 % and 16.0 % respectively. In addition, hardware complexity analysis is done to reveal the advantages of the two-stage pipeline where approximately 27 %, 49 %, 50 %, 23 %, and 43 % savings achieved in lookup tables (LUT's), registers, memory, power consumption and computational time respectively. Conclusion: The clinical significance of such sEMG based accurate and low-complex movement recognition system can be favorable for the potential improvement in quality of life of an amputated persons

d–f luminescence of Ce3+ and Eu2+ ions in BaAl2O4, SrAl2O4 and CaAl2O4 phosphors

Abstract Ce3+ and Eu2+ doped alkaline earth aluminates MAl2O4 (M = Ca, Sr, Ba) were prepared by single-step combustion synthesis at low temperature (600 °C). X-ray diffraction (XRD) analysis confirmed the formation of BaAl2O4, CaAl2O4, and SrAl2O4. Photoluminescence spectra and optimal luminescent properties of Ce3+ and Eu2+ doped MAl2O4 phosphors were studied. Relation between Eu2+ and Ce3+ f–d transitions was explained. Spectroscopic properties known for Ce3+ were used to predict those of Eu2+ by using Dorenbos’ method. The values thus calculated were in excellent agreement with the experimental results. The preferential substitution of Ce3+ and Eu2+ at different Ba2+, Sr2+, Ca2+ crystallographic sites was discussed. The dependence of emission wavelengths of Ce3+ and Eu2+ on local symmetry of different crystallographic sites was also studied by using Van Uitert’s empirical relation. Experimental results matched excellently with the predictions of Dorenbos’ and Van Uitert’s models

Removal of Erichrome Black T from Synthetic Wastewater by Cotton Waste

Adsorptions of Erichrome Black T dye in aqueous solution on cotton stem activated carbon have been studied as a function of contact time, concentration and pH. Effect of various experimental parameters has been investigated at 39±1 °C under batch adsorption technique. The result shows that cotton stem activated carbon adsorbs dye to a sufficient extent. The physicochemical characterization and chemical kinetics was also examined for the same dye. The overall result shows that it can be fruitfully used for the removal of dye from wastewaters

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