Enhancement of Learning Style in Kolej Poly-Tech MARA (KPTM) via Mobile EEF Learning System (MEEFLS)

Mobile communication provides access to the outside world without borders everywhere and at any time. The learning method that related to mobile communication technology is known as mobile learning (M-learning). It is a method that communicates learning materials with mobile device technology. The purpose of this method is to increase the interest in learning among students and assist them in obtaining learning materials at Kolej Poly-Tech MARA (KPTM) in order to improve the student's performance in their study and to encourage educators to diversify the teaching practices. This paper discusses the student's awareness for enhancement of learning style using mobile technologies and their readiness to apply the elements of mobile learning in learning to improve performance and interest in learning among students. An application called Mobile EEF Learning System (MEEFLS) has been developed as a tool to be used as a pilot test in KPTM

Enhancement of Learning Style in Kolej Poly-Tech MARA (KPTM) via Mobile EEF Learning System (MEEFLS)

Mobile communication provides access to the outside world without borders everywhere and at any time. The learning method that related to mobile communication technology is known as mobile learning (M-learning). It is a method that communicates learning materials with mobile device technology. The purpose of this method is to increase the interest in learning among students and assist them in obtaining learning materials at Kolej Poly-Tech MARA (KPTM) in order to improve the student's performance in their study and to encourage educators to diversify the teaching practices. This paper discusses the student's awareness for enhancement of learning style using mobile technologies and their readiness to apply the elements of mobile learning in learning to improve performance and interest in learning among students. An application called Mobile EEF Learning System (MEEFLS) has been developed as a tool to be used as a pilot test in KPTM

Improving water productivity, reducing poverty and enhancing equity in mixed crop-livestock systems in the Indo-Gangetic Basin: CPWF project report 68

Farming systems / Mixed farming / Water productivity / Feed production / Livestock / Energy consumption / Gender / Poverty / River basins / Case studies / India / Indo-Gangetic Basin / West Bengal / Haryana / Uttar Pradesh

Conceptual Framework for Designing and Developing a Creativity Enhancement Module in Education Incorporating Indigenous Perspectives

Creativity is rated among the most important human mental attributes or human capital that is considered by researchers as the driving force behind economic development, technical advances, work-place leadership and life success. As such, creativity is certainly an important aspect of technical and vocational education and training, in which design and innovation are among the core subjects. As the perspective that enhancement of creativity can be carried out through learning and training is accepted, the design and development of instructional modules plays a significant role in enhancing the creativity levels of both trainers and trainees, especially in the field of education. Teaching and learning resources in varying degrees of depth and difficulty that cater for the individual, groups and organizations can be prepared. This article sets forth a conceptual framework for a structure for a creativity enhancement module that includes its design, development and evaluation. Keys areas in the framework include theories of creativity and domains that are involved, theories of teaching and learning creativity, indigenous perspectives and theories of module design, development and evaluation of the module in the intervention process

Predicting the risk to develop preeclampsia in the first trimester combining promoter variant -98A/C of LGALS13 (placental protein 13), Black ethnicity, previous preeclampsia, obesity, and maternal age

BACKGROUND: We studied LGALS13 [Placental Protein 13 (PP13)] promoter DNA polymorphisms in preeclampsia (PE) prediction, given PP13’s effects on hypotension, angiogenesis and immunotolerance. METHODS: We retrieved 67 PE (49 term, 18 preterm) cases and 196 matched controls from first trimester plasma samples prospectively collected at King's College Hospital, London. Cell-free DNA was extracted and the four LGALS13 exons were sequenced after PCR amplification. Expression of LGALS13 promoter reporter constructs were determined in BeWo trophoblast-like cells with luciferase assays. RESULTS: A/C genotype in –98 position was the lowest in term PE compared to controls (p<0.032), similar to a South African cohort. Control but not all PE allele frequencies were in Hardy-Weinberg equilibrium (p=0.036). The Odds ratio for term PE calculated from prior risk, the A/A genotype and black ethnicity was 14 (p<0.001). In luciferase assays, the LGALS13 promoter “-98A" variant had 13% (p=0.04) and 26% (p<0.001) lower expression than the "-98C" variant in non-differentiated and differentiated BeWo cells, respectively. After 48-hour differentiation, there was 4.55- fold increase in expression of "-98C" variant versus 3.85-fold of "-98A" variant (p<0.001). CONCLUSION: Lower LGALS13 (PP13) expression by the "-98A/A" genotype appears to impose higher risk to develop PE and could aid in PE prediction

Nonstationary heat conduction in one-dimensional models with substrate potential

The paper investigates non-stationary heat conduction in one-dimensional models with substrate potential. In order to establish universal characteristic properties of the process, we explore three different models --- Frenkel-Kontorova (FK), phi4+ ($\phi^4$+) and phi4- ($\phi^4-$). Direct numeric simulations reveal in all these models a crossover from oscillatory decay of short-wave perturbations of the temperature field to smooth diffusive decay of the long-wave perturbations. Such behavior is inconsistent with parabolic Fourier equation of the heat conduction and clearly demonstrates the necessity of hyperbolic models. The crossover wavelength decreases with increase of average temperature. The decay patterns of the temperature field almost do not depend on the amplitude of the perturbations, so the use of linear evolution equations for temperature field is justified. In all model investigated, the relaxation of thermal perturbations is exponential -- contrary to linear chain, where it follows a power law. However, the most popular lowest-order hyperbolic generalization of the Fourier law, known as Cattaneo-Vernotte (CV) or telegraph equation (TE) is not valid for description of the observed behavior of the models with on-site potential. In part of the models a characteristic relaxation times exhibit peculiar scaling with respect to the temperature perturbation wavelength. Quite surprisingly, such behavior is similar to that of well-known model with divergent heat conduction (Fermi-Pasta-Ulam chain) and rather different from the model with normal heat conduction (chain of rotators). Thus, the data on the non-stationary heat conduction in the systems with on-site potential do not fit commonly accepted concept of universality classes for heat conduction in one-dimensional models.Comment: 9 pages, 7 figures, corrected versio

Synthesis and molecular docking studies of coumarin-imidazole conjugates as potential antimicrobial agents

110-125One-pot multi-component synthesis of tri and tetra-substituted coumarin-imidazole conjugates have been achieved in good to excellent yield under conventional and microwave methods in optimized catalyst condition. Further, they have been evaluated for antimicrobial activity against Gram positive Bacillus flexus and Gram negative Pseudomonas Spp. bacterial strains and two strains of fungi Scopulariopsis spp. and Aspergillus tereus organisms. The results of microbial activity are promising against tested organisms. The molecular docking study has been performed for all the compounds and docking scores are excellent. Synthesized compounds have been characterized by IR, NMR, mass and a few of them by single crystal X-ray analysis

DREAM4: Combining Genetic and Dynamic Information to Identify Biological Networks and Dynamical Models

Current technologies have lead to the availability of multiple genomic data types in sufficient quantity and quality to serve as a basis for automatic global network inference. Accordingly, there are currently a large variety of network inference methods that learn regulatory networks to varying degrees of detail. These methods have different strengths and weaknesses and thus can be complementary. However, combining different methods in a mutually reinforcing manner remains a challenge.We investigate how three scalable methods can be combined into a useful network inference pipeline. The first is a novel t-test-based method that relies on a comprehensive steady-state knock-out dataset to rank regulatory interactions. The remaining two are previously published mutual information and ordinary differential equation based methods (tlCLR and Inferelator 1.0, respectively) that use both time-series and steady-state data to rank regulatory interactions; the latter has the added advantage of also inferring dynamic models of gene regulation which can be used to predict the system's response to new perturbations.Our t-test based method proved powerful at ranking regulatory interactions, tying for first out of methods in the DREAM4 100-gene in-silico network inference challenge. We demonstrate complementarity between this method and the two methods that take advantage of time-series data by combining the three into a pipeline whose ability to rank regulatory interactions is markedly improved compared to either method alone. Moreover, the pipeline is able to accurately predict the response of the system to new conditions (in this case new double knock-out genetic perturbations). Our evaluation of the performance of multiple methods for network inference suggests avenues for future methods development and provides simple considerations for genomic experimental design. Our code is publicly available at http://err.bio.nyu.edu/inferelator/

Search for Zgamma events with large missing transverse energy in ppbar collisions at sqrt(s)=1.96 TeV

We present the first search for supersymmetry (SUSY) in Zgamma final states with large missing transverse energy using data corresponding to an integrated luminosity of 6.2 fb-1 collected with the D0 experiment in ppbar collisions at sqrt(s)=1.96 TeV. This signature is predicted in gauge-mediated SUSY-breaking models, where the lightest neutralino is the next-to-lightest supersymmetric particle (NLSP) and is produced in pairs, possibly through decay from heavier supersymmetric particles. The NLSP can decay either to a Z boson or a photon and an associated gravitino that escapes detection. We exclude this model at the 95% C.L. for SUSY breaking scales of Lambda < 87 TeV, corresponding to neutralino masses of < 151 GeV.Comment: submitted to Phys. Rev. Let