973 research outputs found

    Acreage response of rice: A case study in Malaysia

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    This paper serves as preliminary study to investigate the relative impacts of various factors on acreage response of rice in Malaysia. The findings provide mixed signals which are different from other rice production countries. Hence, future studies are deemed essential to probe the issues with justifications by looking at the connection of Malaysian paddy production and economic theory, as well as implications to policymakers.Acreage response, rice, paddy

    Mechanical Strength Comparison of Hydrated and Dehydrated Pteridium Stems

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    In this experiment, the mechanical strength of Pteridium stems was tested in two differing conditions: hydrated and dehydrated. It was hypothesized that there would be an increased performance of hydrated stems in the presence of mechanical stress. In order to test this hypothesis, twelve 20 cm pieces of stems were cut in alternation, separating those that would be dehydrated (6) with those that were hydrated (6). The dehydrated specimens were left to dry over a period of 24 hours. The diameters of each individual stem were measured to account for variation in size and remove excess variables. All twelve stems were placed into the Instron individually and their MOE and MOR were measured. Based on the raw data that was obtained from these tests and analysis of the data performed in the form of a paired t-test, it was concluded that there is not a significant difference between the two. Both the MOE’s and MOR’s of the hydrated and dehydrated stems resulted in p values that were more than the significant 0.05 level. Although the data was found not significantly different, it is an important discovery in the scientific community

    Identifying wildlife reservoirs of neglected taeniid tapeworms : non-invasive diagnosis of endemic Taenia serialis infection in a wild primate population

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    Despite the global distribution and public health consequences of Taenia tapeworms, the life cycles of taeniids infecting wildlife hosts remain largely undescribed. The larval stage of Taenia serialis commonly parasitizes rodents and lagomorphs, but has been reported in a wide range of hosts that includes geladas (Theropithecus gelada), primates endemic to Ethiopia. Geladas exhibit protuberant larval cysts indicative of advanced T. serialis infection that are associated with high mortality. However, non-protuberant larvae can develop in deep tissue or the abdominal cavity, leading to underestimates of prevalence based solely on observable cysts. We adapted a non-invasive monoclonal antibody-based enzyme-linked immunosorbent assay (ELISA) to detect circulating Taenia spp. antigen in dried gelada urine. Analysis revealed that this assay was highly accurate in detecting Taenia antigen, with 98.4% specificity, 98.5% sensitivity, and an area under the curve of 0.99. We used this assay to investigate the prevalence of T. serialis infection in a wild gelada population, finding that infection is substantially more widespread than the occurrence of visible T. serialis cysts (16.4% tested positive at least once, while only 6% of the same population exhibited cysts). We examined whether age or sex predicted T. serialis infection as indicated by external cysts and antigen presence. Contrary to the female-bias observed in many Taenia-host systems, we found no significant sex bias in either cyst presence or antigen presence. Age, on the other hand, predicted cyst presence (older individuals were more likely to show cysts) but not antigen presence. We interpret this finding to indicate that T. serialis may infect individuals early in life but only result in visible disease later in life. This is the first application of an antigen ELISA to the study of larval Taenia infection in wildlife, opening the doors to the identification and description of infection dynamics in reservoir populations

    Inverse Design of Solid-State Materials via a Continuous Representation

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    The non-serendipitous discovery of materials with targeted properties is the ultimate goal of materials research, but to date, materials design lacks the incorporation of all available knowledge to plan the synthesis of the next material. This work presents a framework for learning a continuous representation of materials and building a model for new discovery using latent space representation. The ability of autoencoders to generate experimental materials is demonstrated with vanadium oxides via rediscovery of experimentally known structures when the model was trained without them. Approximately 20,000 hypothetical materials are generated, leading to several completely new metastable V_xO_y materials that may be synthesizable. Comparison with genetic algorithms suggests computational efficiency of generative models that can explore chemical compositional space effectively by learning the distributions of known materials for crystal structure prediction. These results are an important step toward machine-learned inverse design of inorganic functional materials using generative models

    Electronic Structure and Insulating Gap in Epitaxial VO\u3csub\u3e2\u3c/sub\u3e Polymorphs

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    Determining the origin of the insulating gap in the monoclinic VO2(M1) is a long-standing issue. The difficulty of this study arises from the simultaneous occurrence of structural and electronic transitions upon thermal cycling. Here, we compare the electronic structure of the M1 phase with that of single crystalline insulating VO2(A) and VO2(B) thin films to better understand the insulating phase of VO2. As these A and B phases do not undergo a structural transition upon thermal cycling, we comparatively study the origin of the gap opening in the insulating VO2 phases. By x-ray absorption and optical spectroscopy, we find that the shift of unoccupied t2g orbitals away from the Fermi level is a common feature, which plays an important role for the insulating behavior in VO2 polymorphs. The distinct splitting of the half-filled t2g orbital is observed only in the M1 phase, widening the bandgap up to ∼0.6 eV. Our approach of comparing all three insulating VO2 phases provides insight into a better understanding of the electronic structure and the origin of the insulating gap in VO2

    Acreage response of rice: A case study in Malaysia

    Get PDF
    This paper serves as preliminary study to investigate the relative impacts of various factors on acreage response of rice in Malaysia. The findings provide mixed signals which are different from other rice production countries. Hence, future studies are deemed essential to probe the issues with justifications by looking at the connection of Malaysian paddy production and economic theory, as well as implications to policymakers

    Acreage response of rice: A case study in Malaysia

    Get PDF
    This paper serves as preliminary study to investigate the relative impacts of various factors on acreage response of rice in Malaysia. The findings provide mixed signals which are different from other rice production countries. Hence, future studies are deemed essential to probe the issues with justifications by looking at the connection of Malaysian paddy production and economic theory, as well as implications to policymakers

    Correction: Naphthalene flanked diketopyrrolopyrrole based organic semiconductors for high performance organic field effect transistors (New Journal of Chemistry (2018) 42 (12374–12385) DOI: 10.1039/C8NJ01453A)

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    The authors would like to correct the Acknowledgements section. The Acknowledgements section should read: Qian Liu is thankful to QUT for offering here QUTPRA scholarship to conduct his research. P. S. is thankful to QUT for the financial support from the Australian Research Council (ARC) for the Future Fellowship (FT130101337) and QUT core funding (QUT/322120-0301/07). S. M. is supported by the Ministry of Education of Singapore. Some of the data reported in this paper were obtained at the Central Analytical Research Facility (CARF) operated by the Institute for Future Environments (QUT). Access to CARF is supported by generous funding from the Science and Engineering Faculty (QUT). This study was supported by the Center for Advanced Soft-Electronics (2013M3A6A5073183) through the NRF grant funded by the Korean government. The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers

    Correction: Naphthalene flanked diketopyrrolopyrrole based organic semiconductors for high performance organic field effect transistors (New Journal of Chemistry (2018) 42 (12374–12385) DOI: 10.1039/C8NJ01453A)

    Get PDF
    The authors would like to correct the Acknowledgements section. The Acknowledgements section should read: Qian Liu is thankful to QUT for offering here QUTPRA scholarship to conduct his research. P. S. is thankful to QUT for the financial support from the Australian Research Council (ARC) for the Future Fellowship (FT130101337) and QUT core funding (QUT/322120-0301/07). S. M. is supported by the Ministry of Education of Singapore. Some of the data reported in this paper were obtained at the Central Analytical Research Facility (CARF) operated by the Institute for Future Environments (QUT). Access to CARF is supported by generous funding from the Science and Engineering Faculty (QUT). This study was supported by the Center for Advanced Soft-Electronics (2013M3A6A5073183) through the NRF grant funded by the Korean government. The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers

    Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks

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    Deep neural networks (DNNs) are powerful learning machines that have enabled breakthroughs in several domains. In this work, we introduce a new retrospective loss to improve the training of deep neural network models by utilizing the prior experience available in past model states during training. Minimizing the retrospective loss, along with the task-specific loss, pushes the parameter state at the current training step towards the optimal parameter state while pulling it away from the parameter state at a previous training step. Although a simple idea, we analyze the method as well as to conduct comprehensive sets of experiments across domains - images, speech, text, and graphs - to show that the proposed loss results in improved performance across input domains, tasks, and architectures.Comment: Accepted at KDD 2020; The first two authors contributed equall
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