411 research outputs found

    Absolute Neutron Flux from a Raα+Be Source

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    Remote sensing technique- a tool for environmental studies

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    Environment belongs to all and is important to all. As per definition of the Environment Protection Act, environment includes all the physical and biological surroundings and their interactions. The study of environment or rather environmental studies is a multi-disciplinary which needs knowledge interest from physical sciences (physics, chemistry, mathematics), biological sciences (botany, zoology, microbiology, biochemistry), social sciences, economics, sociology, education, geography) etc

    Protein Engineering Of Bt Genes cry1Ab And cry1Ba For The Development Of Chimeric Genes cryAbabba, cryBabaab And cryAbbaab Via Domain Swapping

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    Bacillus thuringiensis is renowned for its production of insecticidal cry proteins, widely utilized in crop protection to combat insects. However, the risk of insect resistance emerges due to the relatively loose binding of toxins to target sites on larvae's midgut brush boundary membranes. This resistance primarily stems from modifications in binding sites within midgut cells. To address potential threats, the discovery of new Cry proteins is imperative as insects continually evolve resistance against existing ones. Combining Cry toxins with diverse binding sites in larval midguts is proposed as an effective strategy to delay the onset of resistance. In this study, three chimeric B. thuringiensis proteins—CryAbAbBa, CryBaBaAb, and CryAbBaAb—were engineered via domain swapping, utilizing crystal proteins CrylAb and CrylB. Structural validation was conducted, confirming their integrity through Ramachandran Plots. The chimeric proteins can be used as additional resources in crop improvement programmes

    The Malarial Host-Targeting Signal Is Conserved in the Irish Potato Famine Pathogen

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    Animal and plant eukaryotic pathogens, such as the human malaria parasite Plasmodium falciparum and the potato late blight agent Phytophthora infestans, are widely divergent eukaryotic microbes. Yet they both produce secretory virulence and pathogenic proteins that alter host cell functions. In P. falciparum, export of parasite proteins to the host erythrocyte is mediated by leader sequences shown to contain a host-targeting (HT) motif centered on an RxLx (E, D, or Q) core: this motif appears to signify a major pathogenic export pathway with hundreds of putative effectors. Here we show that a secretory protein of P. infestans, which is perceived by plant disease resistance proteins and induces hypersensitive plant cell death, contains a leader sequence that is equivalent to the Plasmodium HT-leader in its ability to export fusion of green fluorescent protein (GFP) from the P. falciparum parasite to the host erythrocyte. This export is dependent on an RxLR sequence conserved in P. infestans leaders, as well as in leaders of all ten secretory oomycete proteins shown to function inside plant cells. The RxLR motif is also detected in hundreds of secretory proteins of P. infestans, Phytophthora sojae, and Phytophthora ramorum and has high value in predicting host-targeted leaders. A consensus motif further reveals E/D residues enriched within ~25 amino acids downstream of the RxLR, which are also needed for export. Together the data suggest that in these plant pathogenic oomycetes, a consensus HT motif may reside in an extended sequence of ~25–30 amino acids, rather than in a short linear sequence. Evidence is presented that although the consensus is much shorter in P. falciparum, information sufficient for vacuolar export is contained in a region of ~30 amino acids, which includes sequences flanking the HT core. Finally, positional conservation between Phytophthora RxLR and P. falciparum RxLx (E, D, Q) is consistent with the idea that the context of their presentation is constrained. These studies provide the first evidence to our knowledge that eukaryotic microbes share equivalent pathogenic HT signals and thus conserved mechanisms to access host cells across plant and animal kingdoms that may present unique targets for prophylaxis across divergent pathogens

    Modification of polypropylene filter with metal oxide and reduced graphene oxide for water treatment

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    A hydrothermal method for the synthesis of reduced graphene oxide/titanium dioxide filter (RGO/TiO2) and reduced graphene oxide/zinc oxide filter (RGO/ZnO) by using polypropylene (PP) porous filter is reported. Field emission scanning electron microscopy illustrated that the nanoparticles were uniformly distributed on the reduced graphene oxide nanosheets. Flexural tests showed that the physical properties of the modified filters have greater strength than the original filter. Thermogravimetric analysis revealed that the thermal property of the modified filters is the same as that of the original filter. Under a halogen lamp, the modified filter exhibited excellent photocatalytic degradation of methylene blue. The RGO/TiO2 filter maintained its ability to degrade MB efficiently, even after five cycles of photocatalysis

    Validating module network learning algorithms using simulated data

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    In recent years, several authors have used probabilistic graphical models to learn expression modules and their regulatory programs from gene expression data. Here, we demonstrate the use of the synthetic data generator SynTReN for the purpose of testing and comparing module network learning algorithms. We introduce a software package for learning module networks, called LeMoNe, which incorporates a novel strategy for learning regulatory programs. Novelties include the use of a bottom-up Bayesian hierarchical clustering to construct the regulatory programs, and the use of a conditional entropy measure to assign regulators to the regulation program nodes. Using SynTReN data, we test the performance of LeMoNe in a completely controlled situation and assess the effect of the methodological changes we made with respect to an existing software package, namely Genomica. Additionally, we assess the effect of various parameters, such as the size of the data set and the amount of noise, on the inference performance. Overall, application of Genomica and LeMoNe to simulated data sets gave comparable results. However, LeMoNe offers some advantages, one of them being that the learning process is considerably faster for larger data sets. Additionally, we show that the location of the regulators in the LeMoNe regulation programs and their conditional entropy may be used to prioritize regulators for functional validation, and that the combination of the bottom-up clustering strategy with the conditional entropy-based assignment of regulators improves the handling of missing or hidden regulators.Comment: 13 pages, 6 figures + 2 pages, 2 figures supplementary informatio

    How to be or not to be? A critical dialogue on the limitations and opportunities of academic development in the current higher education context

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    In the tumultuous time we find ourselves, debates about pedagogy have taken centre stage once again. Concerns raised by the student protests of 2015 and 2016 have highlighted the urgent need to re-think traditional teaching, learning and assessment practices, as well as the development of decolonised and transformative curricula.Traditional notions of academic and professional development are now being tested and contested, insofar as they are able to respond to student challenges in appropriate, responsive, legitimate and relevant ways. As a professional organisation dedicated to supporting learning and teaching, the executive team of HELTASA responded to the challenge in this article by engaging with perspectives on the purpose, role and conceptualisation of academic development in the current decolonial moment in the South African Higher Education landscape. Critical processes that enable academics to engage, share thoughts and debate epistemological, pedagogical and methodological options to support students and academics are much needed. And the context and spirit in which these debates occur may be as important as the debates themselves.At its annual conference, the executive team facilitated a critical dialogue with conference delegates on the limitations and opportunities of AD in our current context. Given the diverse teaching and learning contexts and institutional differentiation in the sector, this article explores individual and collective theorised observations, reflections and experiences of the seven facilitators who led the CD. These reflections were analysed and discussed against the backdrop of AD as well as the affordances of CD as a participatory learning and engagement methodology. The findings showed that there is dire need to re-imagine, not only AD’s role but alternative forms of critical engagement in the sector

    Ground truth annotation of traffic video data

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    This paper presents a software application to generate ground-truth data on video files from traffic surveillance cameras used for Intelligent Transportation Systems (IT systems). The computer vision system to be evaluated counts the number of vehicles that cross a line per time unit intensity-, the average speed and the occupancy. The main goal of the visual interface presented in this paper is to be easy to use without the requirement of any specific hardware. It is based on a standard laptop or desktop computer and a Jog shuttle wheel. The setup is efficient and comfortable because one hand of the annotating person is almost all the time on the space key of the keyboard while the other hand is on the jog shuttle wheel. The mean time required to annotate a video file ranges from 1 to 5 times its duration (per lane) depending on the content. Compared to general purpose annotation tool a time factor gain of about 7 times is achieved.This work was funded by the Spanish Government project MARTA under the CENIT program and CICYT contract TEC2009-09146.Mossi García, JM.; Albiol Colomer, AJ.; Albiol Colomer, A.; Oliver Moll, J. (2014). Ground truth annotation of traffic video data. Multimedia Tools and Applications. 1-14. https://doi.org/10.1007/s11042-013-1396-xS114Albiol A et al (2011) Detection of parked vehicles using spatiotemporal maps. IEEE Trans Intell Transport Syst 12(4):1277–1291Blunsden SJ, Fisher R (2010) The BEHAVE video dataset: ground truthed video for multi-person behavior classification. Annal British Mach Vis Assoc 4:1–12Bradski G, Kaehler A (2008) Learning OpenCV: Computer vision with the OpenCV library. O'Reilly Media, IncorporatedBrooke J. SUS: a “quick and dirty” usability scale. Usability evaluation in industry. Taylor and FrancisBrostow GJ et al (2009) Semantic object classes in video: a high-definition ground truth database. Pattern Recognit Lett 30(2):88–97Buch N et al (2011) A review of computer vision techniques for the analysis of urban traffic. IEEE Trans Intell Transp Syst 12(3):920–939D’Orazio T et al. (2009) A semi-automatic system for ground truth generation of soccer video sequences. Advanced Video and Signal Based Surveillance, 2009. AVSS’09. Sixth IEEE International Conference on (Sep. 2009), 559–564Dollar P et al (2012) Pedestrian detection: an evaluation of the state of the art. IEEE Trans Pattern Anal Mach Intell 34(4):743–761Faro A et al (2011) Adaptive background modeling integrated with luminosity sensors and occlusion processing for reliable vehicle detection. IEEE Trans Intell Transport Syst 12(4):1398–1412Giro-i-Nieto X et al (2010) GAT: a graphical annotation tool for semantic regions. Multimed Tool Appl 46(2–3):155–174i-LIDS. Image Library for Intelligent Detection Systems: www.ilids.co.uk . Home Office Scientific Development Branch, United Kingdom. Last Accessed February 2013Kasturi R et al (2009) Framework for performance evaluation of face, text, and vehicle detection and tracking in video: data, metrics, and protocol. IEEE Trans Pattern Anal Mach Intell 31(2):319–336Laganière R (2011) OpenCV 2 computer vision application programming cookbook. Packt Pub LimitedLorist MM et al (2000) Mental fatigue and task control: planning and preparation. Psychophysiology 37(5):614–625Russell B et al (2008) LabelMe: a database and web-based tool for image annotation. Int J Comput Vis 77(1):157–173Serrano M, Gracía J, Patricio M, Molina J (2010). Interactive video annotation tool. Distributed Computing and Artificial Intelligence, 325–332Traffic City Cameras. Ajuntament de València, Spain. http://camaras.valencia.es . Last Accessed February 2013TREC video retrieval evaluation. http://www-nlpir.nist.gov/projects/trecvid/Vezzani R, Cucchiara R (2010) Video Surveillance Online Repository (ViSOR): an integrated framework. Multimed Tool Appl 50(2):359–380ViPER: the video performance evaluation resource: http://viper-toolkit.sourceforge.net/Volkmer T et al. (2005) A web-based system for collaborative annotation of large image and video collections: an evaluation and user study. Proceedings of the 13th annual ACM international conference on Multimedia (New York, NY, USA, 2005), 892–901Zhang HB, Li SA, Chen SY, Su SZ, Duh DJ, Li SZ (2012) Adaptive photograph retrieval method. Multimedia Tools and Applications, Published online September 2012.Zou Y et al (2011) Traffic incident classification at intersections based on image sequences by HMM/SVM classifiers. Multimed Tool Appl 52(1):133–14
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