Role of Mothers\u27 Nutritional Knowledge, Nutritional Factors on the School Performance

A cross sectional study was carried out to investigate the effects of mothers\u27 nutritional knowledge, health and nutritional factors and socio-economic parameters on school performance among class five students of University Laboratory School, Dhaka. All of the eighty students were selected for this study. This study found there is a strong relationship between mother\u27s knowledge score and school performance. It was found that mothers\u27 knowledge score was responsible for 91.1 percent change in school performance. The mean BMI of the mothers was 20.44. We found that the school performance measured by class roll number of the students is significantly related with mothers BMI. There was an imperfect negative association between socio-economic parameters and school performance. But the relationship between the school performances with socio-economic parameters was strongly significant. This study also observed the relationship between Individual Dietary Diversity Score (IDDS) of respondent and marks achieved in class 4 final exam. It is alarming that consumption percentage were low for eggs (30) and milk and milk products (37.5), but majority of the students who consumed milk and milk products (63.3%) and eggs (66.7%) got the highest marks

Charged Scalar Pair Production in Strong-Field Photon-Photon Interaction

Following the pioneering work of H. Reiss [1], we provide a covariant calculation of the charged scalar particle pair production. The calculation is facilitated by the use of two-dimensional Bessel functions and light-font coordinates.Comment: 8 page

GreMuTRRR: A Novel Genetic Algorithm to Solve Distance Geometry Problem for Protein Structures

Nuclear Magnetic Resonance (NMR) Spectroscopy is a widely used technique to predict the native structure of proteins. However, NMR machines are only able to report approximate and partial distances between pair of atoms. To build the protein structure one has to solve the Euclidean distance geometry problem given the incomplete interval distance data produced by NMR machines. In this paper, we propose a new genetic algorithm for solving the Euclidean distance geometry problem for protein structure prediction given sparse NMR data. Our genetic algorithm uses a greedy mutation operator to intensify the search, a twin removal technique for diversification in the population and a random restart method to recover stagnation. On a standard set of benchmark dataset, our algorithm significantly outperforms standard genetic algorithms.Comment: Accepted for publication in the 8th International Conference on Electrical and Computer Engineering (ICECE 2014

Lean practices in Bangladeshi textile industry:a literature review

Abstract. Lean manufacturing is a concept of eliminating waste and non-value-added activities or process by using different lean tools or techniques. In developing countries, many organizations are implementing lean production to make a continues improvement in their business process. The aim of this thesis work is to investigate the lean practices and their extent by administrating with several lean manufacturing model case studies in the Bangladeshi textile industries as well as other countries using secondary data and observations. This work discussed the model case industry especially from Bangladesh also India, USA. In the beginning, there has discussed the lean thinking and the origin of lean, principles of lean, different lean tools, the critical success factors and so on. The study shows the potential improvement after lean Implementation by analyzing the production processes of the case industries. The most important findings of this study refer that the selected case industries are implementing a variety of lean tools but mostly in use is Six sigma, Value stream mapping (VSM), 5S, Visual management, Just in time (JIT),Kanban, Kaizen, Poka-yoke, Visual controls and Quality circle to improve their production processes. Also marking out some findings of different kind of benefits that are getting the industries of Bangladesh by implementing lean, some impeding factors, as well as different supporting factors, are also identified

Electrical field modelling of transcranial direct current stimulation

Abstract. Transcranial Direct Current Stimulation (tDCS) is a technology for neurotransmission that provides direct current to relatively intensive cortical areas in order to modulate internal brain activity. There have been inaccuracies in tDCS findings identified by recent studies. In this study, we present a modeling pipeline for computer-based tDCS analysis for studying different electrode montages and different sizes (1 x 6 cm²) and (5 x 7 cm²) of electrodes to find out the outcomes. The assumption is that a given brain region’s stimulation would be stable in different montages. The total simulation current flow and electric field distribution within the brain were determined for the four most widely used tDCS montages: F3-F4, F3-FP2, FP1-FP2, and C4-FP2, using the COMETS2 software tool. The effect of the size of the electrodes is simulated for tDCS in F3-FP2 mounts in small (1 x 6 cm²) and wide (5 x 7 cm²) rectangular electrodes. The current flow is calculated in order to examine the impact of the mounting setup for current density and electric field. Regional as well as localized current densities in the electrode sites have been considered for each of the various mounting setups

Examining the roles of social media on startups of Oulu

Abstract. This thesis is focused on explaining social media, how and why the startups in Oulu use social media for. This thesis has practical and first hand data and information about how the firms are utilizing social media, why they are using social media and what they think about social media. The thesis is conducted through a literature review on the topic which is supported by an empirical case study. The motivation of doing this thesis on social media influence in the startups of Oulu came from the lack of previous researches on this topic. The first part of the thesis is consist of theoretical aspects of social media, different types of social media, social media and traditional media, mobile social media. In the later part of theory covers the opportunities, challenges and implication of social media. There is discussion on the benefits that social media offers, what the challenges companies might face using social media and how social media activities can be planned and implemented. Multi case study was conducted on four startup firms from Oulu. One person form each company was interviewed and the theme of the interview was why the firms are using social media and their motivation behind it, which channels they are using and why, how much resources they are using behind social media, the impact they are having, the challenges they are facing and what they think about the future of social media. Most of the research conducted on social media is mainly focused on the big organization, the author wanted to know how much social media means to the smaller firms in a specific region in this case Oulu. With the combination of the theory and the case study there should be an understanding the relationship between social media and startups. The main findings of this study is that the startups of Oulu uses social media for the purpose of increasing brand awareness and for a strong market presence