Making PBL teams successful : a study on student diversity in a first year electrical engineering programme

Problem based learning (PBL) is a group learning environment that involves a radical change in the way students learn and the role that academic staff play in facilitating learning. The PBL approach claims to build extended technological and social understandings as it offers a context for development of autonomous learners. It has an emphasis on collective and individual learning motivation and decision-making behaviours.

In this paper, we present the responses of students to the heterogeneous characteristic of PBL teams in a first year electrical engineering degree course at an Australian University. The learning cultures in PBL teams that emerge as a result of the diverse characteristics of teams are also presented in this paper.

A number of PBL teams were observed and interviewed throughout their first year course with their consent. Analysis of the data collected about students’ learning and outcomes in PBL teams informed the ways in which individual students approach their learning, the ways in which they control, regulate and direct their learning individually and as a group and the extent to which they participate, engage and thereby learn in the course.

It is evident that some students have a strong influence on the behaviour of other students in their team. These students also influenced what is learnt as a team, the ways in which they interrelated, worked as a team and problem solved in changing circumstances. Therefore, when designing student teams for PBL academics should not assume that a mono-cultural group or a mixed-ability group of students will work successfully together. We think that the results of this research inform both the design of PBL courses and the facilitation of PBL groups to accomplish successful group learning outcomes.

An iterative approach of protein function prediction

Background: Current approaches of predicting protein functions from a protein-protein interaction (PPI) dataset are based on an assumption that the available functions of the proteins (a.k.a. annotated proteins) will determine the functions of the proteins whose functions are unknown yet at the moment (a.k.a. un-annotated proteins). Therefore, the protein function prediction is a mono-directed and one-off procedure, i.e. from annotated proteins to un-annotated proteins. However, the interactions between proteins are mutual rather than static and mono-directed, although functions of some proteins are unknown for some reasons at present. That means when we use the similarity-based approach to predict functions of un-annotated proteins, the un-annotated proteins, once their functions are predicted, will affect the similarities between proteins, which in turn will affect the prediction results. In other words, the function prediction is a dynamic and mutual procedure. This dynamic feature of protein interactions, however, was not considered in the existing prediction algorithms.

Results: In this paper, we propose a new prediction approach that predicts protein functions iteratively. This iterative approach incorporates the dynamic and mutual features of PPI interactions, as well as the local and global semantic influence of protein functions, into the prediction. To guarantee predicting functions iteratively, we propose a new protein similarity from protein functions. We adapt new evaluation metrics to evaluate the prediction quality of our algorithm and other similar algorithms. Experiments on real PPI datasets were conducted to evaluate the effectiveness of the proposed approach in predicting unknown protein functions.

Conclusions: The iterative approach is more likely to reflect the real biological nature between proteins when predicting functions. A proper definition of protein similarity from protein functions is the key to predicting functions iteratively. The evaluation results demonstrated that in most cases, the iterative approach outperformed non-iterative ones with higher prediction quality in terms of prediction precision, recall and F-value.

Multi-theoretic approaches to understanding the science classroom

Multi-camera on-site video technology and post-lesson video stimulated interviews were used in a purposefully inclusive research design to generate a complex data set amenable to parallel analyses from several complementary theoretical perspectives. The symposium reports the results of parallel analyses employing positioning theory, systemic functional linguistics, distributed cognition and representational analysis of the same nine-lesson sequence in a single science classroom during the teaching of a single topic: States of Matter. Without contesting the coherence and value of a well-constructed mono-theoretic research study, the argument is made that all such studies present an inevitably partial account of a setting as complex as the science classroom: privileging some aspects and ignoring others. In this symposium, the first presentation examined the rationale for multi-theoretic research designs, highlighting the dangers of the circular amplification of those constructs predetermined by the choice of theory and outlining the intended benefits of multi-theoretic designs that offer less partial accounts of classroom practice. The second and third presentations reported the results of analyses of the same lesson sequence on the topic “states of matter” using the analytical perspectives of positioning theory and systemic functional linguistics. The final presentation reported the comparative analysis of student learning of density over the same three lessons from distributed cognition and representational perspectives. The research design promoted a form of reciprocal interrogation, where the analyses provided insights into classroom practice and the comparison of the analyses facilitated the reflexive interrogation of the selected theories, while also optimally anticipating the subsequent synthesis of the interpretive accounts generated by each analysis of the same setting for the purpose of informing instructional advocacy.

The determination and characterisation of 2-naphthyloxycarbonyl chloride derivatised biogenic amines in pet foods

The need to monitor biogenic amines levels is essential for many areas of the food industry for two main reasons: the caustic nature and potential toxicity of these amines, and the potential to use amine levels as markers for freshness and quality in foodstuffs. Optimised analysis conditions used for the determination of biogenic amines derivatised with 2-napthyloxycarbonyl chloride has been applied to different pet food samples to assess the effectiveness of this method for complex sample matrices. Further to this, the use of high-resolution mass spectrometry has enabled the previously unconfirmed derivatised form of seven biogenic amines to be established. The derivatised forms identified include as mono substituted (tryptamine and histamine), bisubstituted (putrescine, cadaverine and tyramine), trisubstituted (spermidine) and tetrasubstituted (spermine). The methodology of biogenic amine determination was performed successfully to a range of pet food products highlighting the applicability to a variety of complex sample matrices.

O-acetylation of sialic acids in N-glycans of Atlantic salmon (Salmo salar) serum is altered by handling stress

O-acetylation is one of the major modifications of sialic acids that significantly alters biological properties of the parent molecule. These O-acetylated forms are components of the cellular membrane and can affect physiological and pathological responses. Understanding the role of N-glycans in physiology is of increasing relevance to cellular biologists in various disciplines who study glycoproteomics yet lack information regarding the function of the attached glycans. It is well known that stress may decrease immune function in fish; however, there are only few suitable biomarkers available to monitor the physiological responses under the stress conditions. This study is the first report on the effect of stress on the profile of O-acetylation of sialic acids in fish serum. In order to preserve the relevant structural characteristics as much as possible, native N-glycans were directly analyzed using CE-MS. We have characterized the N-glycans in serum of salmon (Salmo salar) exposed to long-term handling stress (15 s out of the water, daily for 4 wk) and compared with the results obtained from sera of control fish. The results indicated that major N-glycans in salmon serum contained mono-acetylated sialic acids (83%), and that the O-acetylation pattern of sialic acids could be altered by long-term stress.

Novel watermarking methods for copyright protection of audio signals

This research presented improved watermarking methods for mono and stereo audio signals. To enhance the performance, novel methods are developed using echo hiding techniques and patchwork-based algorithms. The superior performances of the proposed methods are demonstrated by theoretical analysis and simulation examples, in comparison with the existing methods.

Differentiated mTOR but not AMPK signaling after strength vs endurance exercise in training-accustomed individuals

The influence of adenosine mono phosphate (AMP)-activated protein kinase (AMPK) vs Akt-mammalian target of rapamycin C1 (mTORC1) protein signaling mechanisms on converting differentiated exercise into training specific adaptations is not well-established. To investigate this, human subjects were divided into endurance, strength, and non-exercise control groups. Data were obtained before and during post-exercise recovery from single-bout exercise, conducted with an exercise mode to which the exercise subjects were accustomed through 10 weeks of prior training. Blood and muscle samples were analyzed for plasma substrates and hormones and for muscle markers of AMPK and Akt-mTORC1 protein signaling. Increases in plasma glucose, insulin, growth hormone (GH), and insulin-like growth factor (IGF)-1, and in phosphorylated muscle phospho-Akt substrate (PAS) of 160 kDa, mTOR, 70 kDa ribosomal protein S6 kinase, eukaryotic initiation factor 4E, and glycogen synthase kinase 3α were observed after strength exercise. Increased phosphorylation of AMPK, histone deacetylase5 (HDAC5), cAMP response element-binding protein, and acetyl-CoA carboxylase (ACC) was observed after endurance exercise, but not differently from after strength exercise. No changes in protein phosphorylation were observed in non-exercise controls. Endurance training produced an increase in maximal oxygen uptake and a decrease in submaximal exercise heart rate, while strength training produced increases in muscle cross-sectional area and strength. No changes in basal levels of signaling proteins were observed in response to training. The results support that in training-accustomed individuals, mTORC1 signaling is preferentially activated after hypertrophy-inducing exercise, while AMPK signaling is less specific for differentiated exercise.

Iteratively predict protein functions from protein-protein interactions

Current similarity-based approaches of predicting protein functions from protein-protein interaction (PPI) data usually make use of available information in the PPI network to predict functions of un-annotated proteins, and the prediction is a one-off procedure. However the interactions between proteins are more likely to be mutual rather than static and mono-directed. In other words, the un-annotated proteins, once their functions are predicted, will in turn affect the similarities between proteins. In this paper, we propose an innovative iteration algorithm that incorporates this dynamic feature of protein interaction into the protein function prediction, aiming to achieve higher prediction accuracies and get more reasonable results. With our algorithm, instead of one-off function predictions, functions are assigned to an unannotated protein iteratively until the functional similarities between proteins achieve a stable state. The experimental results show that our iterative method can provide better prediction results than one-off prediction methods with higher prediction accuracies, and is stable for large protein datasets.

Insulin entry into muscle involves a saturable process in the vascular endothelium

Aims/hypothesis : Insulin's rate of entry into skeletal muscle appears to be the rate-limiting step for muscle insulin action and is slowed by insulin resistance. Despite its obvious importance, uncertainty remains as to whether the transport of insulin from plasma to muscle interstitium is a passive diffusional process or a saturable transport process regulated by the insulin receptor. Methods : To address this, here we directly measured the rate of 125I-labelled insulin uptake by rat hindlimb muscle and examined how that is affected by adding unlabelled insulin at high concentrations. We used mono-iodinated [125I]TyrA14-labelled insulin and short (5 min) exposure times, combined with trichloroacetic acid precipitation, to trace intact bioactive insulin. Results : Compared with saline, high concentrations of unlabelled insulin delivered either continuously (insulin clamp) or as a single bolus, significantly raised plasma 125I-labelled insulin, slowed the movement of 125I-labelled insulin from plasma into liver, spleen and heart (p < 0.05, for each) but increased kidney 125I-labelled insulin uptake. High concentrations of unlabelled insulin delivered either continuously (insulin clamp), or as a single bolus, significantly decreased skeletal muscle 125I-labelled insulin clearance (p < 0.01 for each). Increasing muscle perfusion by electrical stimulation did not prevent the inhibitory effect of unlabelled insulin on muscle 125I-labelled insulin clearance. Conclusions/interpretation : These results indicate that insulin's trans-endothelial movement within muscle is a saturable process, which is likely to involve the insulin receptor. Current findings, together with other recent reports, suggest that trans-endothelial insulin transport may be an important site at which muscle insulin action is modulated in clinical and pathological settings.

Solvent-induced 7R-dioxygenase activity of soybean 15-lipoxygenase-1 in the formation of omega-3 DPA-derived resolvin analogs

The resolvin family contains important anti-inflammatory and pro-resolution compounds enzymatically derived in vivo from the polyunsaturated omega-3 fatty acids, eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). More recently, docosapentaenoic acid (DPA) has emerged as another potentially important precursor in the biological production of resolvin compounds. In this work we have used medium engineering to develop a simple method for the controlled synthesis of two di-hydroxylated diastereomers of DPAn-3 catalyzed by soybean 15-lipoxygenase-1 (15-sLOX-1) in the presence of short chain n-alcohols, including methanol, ethanol and propan-1-ol. The complete structures of the two major products, 7S,17S-dihydroxydocosapenta-8Z,10E,13Z,15E,19Z-enoic acid (7S,17S-diHDPAn-3) and 7R,17S-dihydroxydocosapenta-8Z,10E,13Z,15E,19Z- enoic acid (7R,17S-diHDPAn-3), have been elucidated using spectroscopic analysis. The alcohol-dependent R-dioxygenase activity of soybean 15-lipoxygenase with mono-hydroperoxide intermediate substrates has also been demonstrated with other biologically relevant PUFAs, including DHA, EPA and ARA. The developed method has applications in the production of closely related isomers of naturally occurring resolvins and protectins, demonstrating the versatility of 15-sLOX-1 as a biocatalyst. © 2014 Elsevier B.V.

Nanoformulated mutant SurR9-C84A: a possible key for alzheimer's and its associated inflammation

PURPOSE: Alzheimer's disease (AD) is one of the untreatable neurodegenerative diseases characterised by the pathologic amyloid plaque deposition and inflammation. The aim of this study is to evaluate the neuroprotective effects of nanoformulated SurR9-C84A, a survivin mutant belonging to the inhibitors of the apoptosis (IAP) protein family. The effect of SurR9-C84A was studied against the β-amyloid toxicity and various inflammatory insults in the differentiated SK-N-SH neurons. METHOD: SurR9-C84A loaded poly(lactic-co-glycolic acid) nanoparticles were prepared following the modified double emulsion technique. The neuroprotective effect of SurR9-C84A was evaluated against the amyloid-β (Aβ) peptide fragment, N-methyl-D-aspartate (NMDA) toxicity and the inflammatory assaults. To mimic the in vivo situation, a co-culture of neurons and microglia was also studied to validate these results. RESULTS: SurR9-C84A treatments showed improved neuronal health following Aβ, and NMDA toxicity in addition to inflammatory insults induced in mono and co-cultures. The neuroprotective effect was evident with the reduced neuronal death, accelerated expression of neuronal integrity markers (neurofilaments, beta-tubulin III etc.,) and the neuroprotective ERK/MAPK signalling. CONCLUSION: The current results demonstrated that the SurR9-C84A nanoformulation was very effective in rescuing the neurons and holds a potential future application against AD.

Differential atrophy of the postero-lateral hip musculature during prolonged bedrest and the influence of exercise countermeasures

As part of the 2nd Berlin BedRest Study (BBR2-2), we investigated the pattern of muscle atrophy of the postero-lateral hip and hamstring musculature during prolonged inactivity and the effectiveness of two exercise countermeasures. Twenty-four male subjects underwent 60 days of head-down tilt bedrest and were assigned to an inactive control (CTR), resistive vibration exercise (RVE), or resistive exercise alone (RE) group. Magnetic resonance imaging (MRI) of the hip and thigh was taken before, during, and at end of bedrest. Volume of posterolateral hip and hamstring musculature was calculated, and the rate of muscle atrophy and the effect of countermeasure exercises were examined. After 60 days of bedrest, the CTR group showed differential rates of muscle volume loss (F = 21.44; P ≤ 0.0001) with fastest losses seen in the semi-membranosus, quadratus femoris and biceps femoris long head followed by the gluteal and remaining hamstring musculature. Whole body vibration did not appear to have an additional effect above resistive exercise in preserving muscle volume. RE and RVE prevented and/or reduced muscle atrophy of the gluteal, semi-membranosus, and biceps femoris long head muscles. Some muscle volumes in the countermeasure groups displayed faster recovery times than the CTR group. Differential atrophy occurred in the postero-lateral hip musculature following a prolonged period of unloading. Short-duration high-load resistive exercise during bedrest reduced muscle atrophy in the mono-articular hip extensors and selected hamstring muscles. Future countermeasure design should consider including isolated resistive hamstring curls to target this muscle group and reduce the potential for development of muscle imbalances.

Graphene and graphitic derivative filled polymer composites as potential sensors

Graphite and numerous graphitic-derived micro- and nano-particles have gained importance in current materials science research. These two-dimensional sheets of sp(2)-hybridized carbon atoms remarkably influence the properties of polymers. Graphene mono-layers, graphene oxides, graphite oxides, exfoliated graphite, and other related materials are derived from a parental graphite structure. In this review, we focus primarily on the role of these fillers in regulating the electrical and sensing properties of polymer composites. It has been demonstrated that the addition of an optimized mixture of graphene and or its derivatives to various polymers produces a record-high enhancement of the electrical conductivity and achieved semiconducting characteristics at small filler loading, making it suitable for sensor manufacture. Promising sensing characteristics are observed in graphite-derived composite films compared with those of micro-sized composites and the properties are explained mainly based on the filler volume fraction, nature and rate of dispersion and the filler polymer interactions at the interface. In short, this critical review aims to provide a thorough understanding of the recent advances in the area of graphitic-based polymer composites in advanced electronics. Future perspectives in this rapidly developing field are also discussed.

O mutante pso9-1 de Saccharomyces cerevisiae, sensível a psoralenos fotoativados, contém um alelo mutante do gene MEC3 envolvido em checkpoint

Análises de complementação do mutante pso9-1, sensível a psoralenos mono- e bifuncionais fotoativados, UV254nm e nitrosoguanidina, com os mutantes pso1 a pso8, confirmou que este contém uma nova mutação pso. A clonagem molecular a partir de um banco genômico de levedura sugeriu pso9-1 como alelo mutante do gene de checkpoint que responde a danos no DNA MEC3. A não-complementação de vários fenótipos de sensibilidade em diplóides pso9-1/mec3∆ confirmou o alelismo dos dois mutantes. A sensibilidade à calcofluor white e à cafeína não foi aumentada nas linhagens pso9-1 e mec3∆, em relação as suas respectivas selvagens, sugerindo que o mutante pso9-1 não porta uma mutação na região promotora. O fenótipo mutante de mec3∆ foi levemente mais pronunciado para sensibilidade à 8-MOP + UVA e UVC, e para a supressão de mutação para frente induzida por UVC, sugerindo uma função residual para a proteína produzida por este alelo mutante.

Caracterização molecular da mutação pso8-1/rad6 de Saccharomyces cerevisiae, sensível à fotoadição de psoralenos, à radiação UVC e a mutágenos químicos

Um novo mutante isolado da levedura Saccharomyces cerevisiae, sensível à fotoativação de psoralenos mono- e bi-funcionais, à UVC e ao MNNG, complementou o fenótipo de sensibilidade à fotoadição de psoralenos conferido pelas mutações pso1 a pso7 e assim foi chamado pso8-1. O duplo mutante pso8-1 rad4-4 foi altamente sensível à UVC, indicando assim uma interação sinergística dos dois mutantes alelos. A clonagem molecular pela complementação do fenótipo de sensibilidade à radiação UVC do mutante pso8-1 e estudos genéticos revelaram que pso8-1 é alelo ao gene RAD6. O produto do gene RAD6/UBC2 é uma enzima conjugada à ubiquitina envolvida em reparação de DNA, esporulação, recombinação, indução de mutagênese, degradação de proteínas, genes silenciosos, transposição Ty1. Enquanto o mutante pso8-1 apresenta um fenótipo mutador espontâneo e possui baixa mutabilidade induzida a mutágenos, a esporulação de diplóides homoalélicas mostrou eficiência próxima à da linhagem selvagem. A análise da seqüência do mutante alelo mostrou que pso8-1 contém uma nova, e até agora desconhecida, transição T→C no nucleotídeo 191, levando à substituição de uma prolina altamente conservada por uma leucina na posição 64 (Rad6-[P64L]) que pode ter severas conseqüências na estrutura terciária da proteína mutada, e conseqüente ligação a pRad18.