Developing information literacy programmes for public university libraries in Tanzania : a case study of the University of Dar es Salaam

The aim of the research was to develop a training course that inculcated infonnation literacy that could be implemented by staff at the University of Dar es Salaam library (Tanzania), in order to provide students with appropriate infonnation literacy skills to meet their educational goals. The course was developed from an integration of knowledge from infonnation behaviour research and educational theory with current perspectives of infonnation literacy from Infonnation and Library Science (ILS). The ultimate goal of the research was to create a framework that would be used by public university libraries in Tanzania to teach infonnation literacy courses. The study was carried out in two parts. In the first implementation "pilot" programme, the course was tested by involving librarians who took the entire course, in order to see whether the same course structure could be used to implement to the Masters of Education students. Following adaptations made on the first course, a second course programme was implemented to Masters of Education students by two librarians who attended the first implementation "pilot" programme. Therefore, the success of the course was partly judged on whether it effectively enabled knowledge transfer from the librarians to students. Data collection methods were predominantly qualitative, although quantitative methods in tenns of diagnostic tests were also used. The tests were used to evaluate trainees' knowledge ofinfonnation literacy before and after the course to provide an indication of changes in knowledge. Qualitative methods used included semistructured interviews with librarians and academic staff at the University of Dar es Salaam in Tanzania in order to make sure that assumptions made about students' knowledge of infonnation literacy and the kind of problems experienced by students were correct. Other methods included quizzes, exercises, group reflection and presentations that related to each stage in the course. These methods served to indicate trainees' understanding of what was taught, reflections on the leaming process and provided feedback for improvements on the course. The major findings showed that there was a recognized need for infonnation literacy and that problems such as unfamiliarity with categories of infonnation sources, analysis, synthesis, evaluation and use, were experienced in Tanzania as was the case in other "Western" countries. In addition, librarians were able to transfer skills learned to students, who in turn used the same course materials to teach fellow students who did not participate in the course. Furthermore, the design of the course was facilitated by the integration of Information and library science (ILS) approaches to information literacy with the knowledge of information behaviour and pedagogic theory. The thesis provides recommendations for the library and information curricula to introduce information literacy, teaching information literacy in a holistic way and with librarians participating in teaching and research. In addition, the study recommended that librarians should facilitate the development of information literacy in primary and secondary schools.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Database-driven High-Throughput Calculations and Machine Learning Models for Materials Design

This paper reviews past and ongoing efforts in using high-throughput ab-inito calculations in combination with machine learning models for materials design. The primary focus is on bulk materials, i.e., materials with fixed, ordered, crystal structures, although the methods naturally extend into more complicated configurations. Efficient and robust computational methods, computational power, and reliable methods for automated database-driven high-throughput computation are combined to produce high-quality data sets. This data can be used to train machine learning models for predicting the stability of bulk materials and their properties. The underlying computational methods and the tools for automated calculations are discussed in some detail. Various machine learning models and, in particular, descriptors for general use in materials design are also covered.Comment: 19 pages, 2 figure

Leukotriene A4 Hydrolase, Insights into the Molecular Evolution by Homology Modeling and Mutational Analysis of Enzyme from Saccharomyces cerevisiae

Mammalian leukotriene A4 (LTA4) hydrolase is a bifunctional zinc metalloenzyme possessing an Arg/Ala aminopeptidase and an epoxide hydrolase activity, which converts LTA4 into the chemoattractant LTB4. We have previously cloned an LTA4 hydrolase from Saccharomyces cerevisiae with a primitive epoxide hydrolase activity and a Leu aminopeptidase activity, which is stimulated by LTA4. Here we used a modeled structure of S. cerevisiae LTA4 hydrolase, mutational analysis, and binding studies to show that Glu-316 and Arg-627 are critical for catalysis, allowing us to a propose a mechanism for the epoxide hydrolase activity. Guided by the structure, we engineered S. cerevisiae LTA4 hydrolase to attain catalytic properties resembling those of human LTA4 hydrolase. Thus, six consecutive point mutations gradually introduced a novel Arg aminopeptidase activity and caused the specific Ala and Pro aminopeptidase activities to increase 24 and 63 times, respectively. In contrast to the wild type enzyme, the hexuple mutant was inhibited by LTA4 for all tested substrates and to the same extent as for the human enzyme. In addition, these mutations improved binding of LTA4 and increased the relative formation of LTB4, whereas the turnover of this substrate was only weakly affected. Our results suggest that during evolution, the active site of an ancestral eukaryotic zinc aminopeptidase has been reshaped to accommodate lipid substrates while using already existing catalytic residues for a novel, gradually evolving, epoxide hydrolase activity. Moreover, the unique ability to catalyze LTB4 synthesis appears to be the result of multiple and subtle structural rearrangements at the catalytic center rather than a limited set of specific amino acid substitutions

Configurational disorder effects on adatom mobilities on Ti1-xAlxN(001) surfaces from first principles

We use metastable NaCl-structure Ti0.5Al0.5N alloys to probe effects of configurational disorder on adatom surface diffusion dynamics which control phase stability and nanostructural evolution during film growth. First-principles calculations were employed to obtain energy potential maps of Ti and Al adsorption on an ordered TiN(001) reference surface and a disordered Ti0.5Al0.5N(001) solid-solution surface. The energetics of adatom migration on these surfaces are determined and compared to isolate effects of configurational disorder. The results show that alloy surface disorder dramatically reduces Ti adatom mobilities. Al adatoms, in sharp contrast, experience only small disorder-induced differences in migration dynamics

Embracing first-person perspectives in soma-based design

A set of prominent designers embarked on a research journey to explore aesthetics in movement-based design. Here we unpack one of the design sensitivities unique to our practice: A strong first person perspective-where the movements, somatics and aesthetic sensibilities of the designer, design researcher and user are at the forefront. We present an annotated portfolio of design exemplars and a brief introduction to some of the design methods and theory we use, together substantiating and explaining the first-person perspective. At the same time, we show how this felt dimension, despite its subjective nature, is what provides rigor and structure to our design research. Our aim is to assist researchers in soma-based design and designers wanting to consider the multiple facets when designing for the aesthetics of movement. The applications span a large field of designs, including slow introspective, contemplative interactions, arts, dance, health applications, games, work applications and many others

Risk factors for lymph node metastases in women with endometrial cancer : A population-based, nation-wide register study—On behalf of the Swedish Gynecological Cancer Group

The role of lymphadenectomy in the management of early endometrial cancer remains controversial. In the recent ESMO-ESGO-ESTRO guidelines, lymphadenectomy is recommended for patients with endometrioid adenocarcinoma Grade 3 with deep myometrial invasion, but complete agreement was not achieved. In Sweden, DNA aneuploidy has been included as a high-risk factor. The aim of our study was to evaluate the impact of tumor histology, FIGO grade, DNA ploidy and myometrial invasion (MI) on occurrence of lymph node metastasis (LNM) in patients with endometrial cancer. The study design is a retrospective cohort study based on prospectively recorded register data. Endometrial cancer patients registered in the Swedish Quality Registry for Gynecologic Cancer 2010–2015 with FIGO Stages I–III and verified nodal status were included. Data on DNA ploidy, histology, FIGO grade and MI were included in multivariable log-binomial regression analyses with LNM as dependent variable. 1,165 cases fulfilled the inclusion criteria. The multivariable analyses revealed increased risk of LNM in patients with tumors with MI ≥ 50% (risk ratio [RR] = 4.1; 95% confidence interval [CI] 3.0–5.6), nonendometrioid compared to endometrioid histology (RR 1.8; CI 1.4–2.4) and FIGO Grade 3 compared to Grade 1–2 tumors (RR 1.5; CI 1.1–2.0). No statistically significant association between DNA ploidy status and LNM was detected. This population-based, nation-wide study in women with endometrial cancer confirms a strong association between MI ≥ 50%, nonendometrioid histology and FIGO Grade 3, respectively, and LNM. DNA ploidy should not be included in the preoperative decision making of removing nodes or not

Autophagic flux blockage by accumulation of weakly basic tenovins leads to elimination of B-Raf mutant tumour cells that survive vemurafenib

10.1371/journal.pone.0195956PLoS ONE134e019595