1,217 research outputs found

    Probing Lepton Flavour Universality With \bz \to \kstarz \taup \taum

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    Neutral current \bquark \to \squark ll processes have long been known to be precise probes of physics beyond the Standard Model. A pattern of anomalies seen in \bquark \to \squark \mup \mun and in \bquark \to \cquark \tau \nu data has hinted at the violation of lepton flavour universality. Effective field theories which attempt to find an explanation for these anomalies predict sizeable enhancements to the rate of \bquark \to \squark \taup \taum currents. We use pppp collision data collected by the LHCb detector to estimate a sensitivity of \BF(\Bz \to \Kstarz \taup \taum) \u3c 1.5 \times 10^{-3} at 95\% C.L

    Leaf Disease Detection by Using Convolutional Pretrained Model

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    Although agriculture plays an important role in developing countries such as India, food security remains a major concern. Due to a shortage of storage space, transportation, and plant diseases, the majority of crops are squandered. In India, infections cause more than 15% of crops to be wasted, making it one of the most pressing issues to be addressed. There is a need for an autonomous system that can detect these illnesses and assist farmers in taking the necessary procedures to avoid crop loss. Farmers have used the traditional approach of recognizing plant illnesses with their naked eyes. However, not all farmers can recognize these diseases in the same way. With the advancement of Artificial Intelligence, there is a need to apply computer vision capabilities to the agricultural area. Deep Learning's comprehensive libraries, as well as the user and developer-friendly environment in which to work, all combine to make Deep Learning the best way to get started with this topic. Taking leaves from diseased crops and identifying them according to the disease pattern is part of the process. Images of diseased leaves are processed using pixel-based procedures to improve the informational content of the images. The next step is feature extraction, image segmentation, and finally, classification of crop diseases based on patterns recovered from diseased leaves. Convolutional Neural Networks (CNNs) are used to classify diseases. Some of the deep learning pre-trained models have got more accuracy here. The comparison of two pre-trained models was shown

    Charging Kerr-Schild spacetimes in higher dimensions

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    We study higher dimensional charged Kerr-Schild (KS) spacetimes that can be constructed by a KS transformation of a vacuum solution with an arbitrary cosmological constant, and for which the vector potential is aligned with the KS vector k\mathbf{k}. Focusing on the case of an expanding k\mathbf{k}, we first characterize the presence of shear as an obstruction to non-null fields (thereby extending an early no-go result of Myers and Perry). We next obtain the complete family of shearfree solutions. In the twistfree case, they coincide with charged Schwarzschild-Tangherlini-like black holes. Solutions with a twisting k\mathbf{k} consist of a four-parameter family of higher dimensional charged Taub-NUT metrics with a base space of constant holomorphic sectional curvature. In passing, we identify the configurations for which the test-field limit gives rise to instances of the KS double copy. Finally, it is shown that null fields define a branch of twistfree but shearing solutions, exemplified by the product of a Vaidya-like radiating spacetime with an extra dimension.Comment: 29 page

    A study on Diversity and Medicinal Uses of Sthala-Vrikshas in Palani Taluk, Dindigul District, Tamil Nadu

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    India i.e Bharat is rich in culture and tradition. Additionally, it is noteworthy that this nation is home to temples and rituals. The people's strong devotion to the temples demonstrates their faith in them. In our country, there is a tradition of venerating trees within these temples. This practice serves as a reminder that throughout history, humans have relied on the environment for survival. The trees worshiped and preserved in temples in this manner are known as sthala vriksham. This research paper explores the cultural phenomenon, scientific background and conservation of biodiversity aspects of temples protecting the Sthala-Vriksham. A study was conducted about the Sthala Vriksham seen at temples in Palani, a taluk located in Dindigul district and further documented in the form of questionnaires. The study gathered data by engaging in direct discussions and interviews with residents, as well as conducting a field survey at the temples. Geographical data of the region was collected using GPS technology. Information about the medicinal and other domestic properties of these plants was obtained from the field-survey from local population and previous research papers. The bilva tree is the iconic tree for most temples. The study found two Sthala Vriksham trees located in the Venugopalaperumal temple in Palani. Forty-two different species of trees were documented among the other trees in the temples. Many ancient trees were discovered at the Periya Avudaiyar temple, Ancestors implemented these cultures for medicinal purposes, economic reasons, and to preserve plant biodiversity

    Why financial managers need to know the risks and opportunities of robotic technology

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    The future of professional work - will you be replaced, or will you be sitting next to a robot? There has been much talk about the use of robotics within professional functions such as finance, HR, procurement, etc. especially when change is driven by the shared services model. This article explores the often overlapping concepts of work automation and robotic technology before considering the possibilities for transforming the way in which professional work might be carried out in future
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