131 research outputs found

    Type designation of five Lindley’s names in the Genus Habenaria (Orchidaceae)

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    The present study highlights the type designation on 5 species of the genus Habenaria Willd. (Orchidaceae) namely H. cephalotes Lindl., H. heyneana Lindl., H. longicornu Lindl., H. macrostachya Lindl. and H. plantaginea Lindl

    Taxonomic notes on two endemic species of Oberonia Lindl. from Western Ghats, India

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    The genus Oberonia is known for its micro floral arrangement. Due to its minute structure, excess of new species are reported. The present paper reveals the synonymization of two recently described species of the genus Oberonia viz. O. saintberchmansii and O. wynadensis under O. anamalayana and O. josephi respectively. The original illustration and live dissected images of the species are provided for easy identification

    Security Threats and Challenges for Wireless Sensor Network

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    A wireless sensor network is a network of a large number of independently working small sensing units which can communicate wirelessly. The basic plan of a Wireless sensor network (WSN) is to structural distribute self-determining devices using sensors to monitor physical or environmental conditions. Wireless communication technology performance different forms of security threats. WSN need effective security mechanisms because of these networks deployed in untended environments. Due to fixed limitations in wireless sensor networks, security is a crucial issue. The intent of this paper is to investigate the security-related threats and challenges in wireless sensor networks. The threats faced by this WSN are similar but not limited to those observed in a simple network of computers or Internet.We identify thesensorsecuritythreats, review proposed security mechanisms for wireless sensor networks

    Intravenous ondansetron induced hypersensitivity reaction: a case report

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    Ondansetron a selective 5-HT3 receptor antagonist has been widely used as a prophylactic antiemetic for chemotherapy induced and anaesthesia related nausea and vomiting. Anaphylaxis and anaphylactoid reaction rarely occur in less than 1% of the patients and may lead to potentially life-threatening events. This study is one such rare case report of hypersensitivity reaction to intravenous ondansetron in a perioperative setting. Familiarity about anaphylactoid reactions to intravenous ondansetron among the health practitioners would help them to bring about a rational approach to decrease its incidence

    Fixed drug eruption associated with fixed combination of fluoroquinolone-nitroimidazole

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    Fixed drug eruptions (FDE) are cutaneous adverse drug reaction characterized by well demarcated erythematous plaques which on removal of the offending agent resolves with residual hyperpigmentation patches at the site. FDE to nitroimidazoles and fluoroquinolones have nevertheless been infrequently reported. Awareness about the adverse reaction to the fluoroquinolone-nitroimidazole combination drug and also the likelihood of recurrence with same or similar drugs and the possible cross reaction is eminent. Hereby we report one such case of FDE to ciprofloxacin/tinidazole combination

    DESIGN AND EVALUATION OF INTRAGASTRIC BUOYANT TABLETS OF VENLAFAXINE HYDROCHLORIDE

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    Objective: The present study was undertaken to prolong the release of orally administered drug. The aim is to formulate, develop, and evaluate theintragastric buoyant tablets of venlafaxine hydrochloride, which releases the drug in a sustained manner over a period of 12 hrs. Different formulationswere formulated using the polymers Carbopol 934 P, xanthan gum, hydroxypropyl methylcellulose (HPMC K100M) with varying concentration ofdrug: Polymer ratio of 1:1, 1:1.5, 1:2, in which sodium bicarbonate acts as gas generating agent, and microcrystalline cellulose as a diluent.Methods: The tablets were prepared by direct compression and evaluated for tablet thickness, weight variation, tablet hardness, friability, in vitrobuoyancy test, in vitro drug release and Fourier transform infrared spectroscopy. Formulations were evaluated by floating time, floating lag time and in vitro drug release. Dissolution profiles were subjected for various kinetic treatments to analyze the release pattern of drug.Results: It was found that drug release depends on swelling, erosion, and diffusion, thus following the non-Fickian/anomalous type of diffusion.Formulation F8 was considered as an optimized formulation for gastro retentive floating tablet of venlafaxine hydrochloride. The optimizedformulation showed sustained drug release and remained buoyant on the surface of the medium for more than 12 hrs. As the concentration of HPMCK100M increases in the formulation the drug release rate was found to be decreased. The optimized formulation was subjected for the stability studiesand was found to be stable as no significant change was observed in various evaluated parameters of the formulation.Conclusion: It can be concluded that floating drug delivery system of venlafaxine hydrochloride can be successfully formulated as an approach toincrease gastric residence time, thereby improving its bioavailability. Â

    Enhancement of detection mechanisms for HTTP based DoS/DDoS attacks

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    DoS (Denial of Service) and DDoS (Distributed Denial of Service) attacks are some of the vicious network layer attacks present in the world. More than 5.4 million DDoS attacks were reported in the first half of 2021. HTTP based Dos and DDoS attack, a type of DoS and DDoS attack, is a threat to the web applications as it brings damage to the application and the business. This paper sheds light on the current detection mechanisms of HTTP based DoS and DoS attacks and the limitations identified in these detection mechanisms. This paper focuses on the mitigation strategies for the HTTP based DoS and DDoS attacks. It is imperative to create efficient solutions to defend against such cyber-attacks and ensure proper network security in workplaces

    Forest fire management using machine learning techniques

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    As per the latest survey produced by the Forest Survey, the forest cover is 19.27% of the geographic area. According to this report every country can meet the human needs of 16% of the world’s population from the 1% of the world’s forest resource. The Forest Survey said that 90% of the forest fires created by humans. They pose a threat not only to the forest wealth but also this leads to the main threat to biodiversity, a change in the ecosystem. The environment gets dry and twinges, which leads to produce flames in the forest. There are two types of forest fire i) Surface Fire and ii) Crown Fire iii) Ground Fire. Surface Fire: The forest fire starts its flame primarily as a surface fire, spreading along the ground with the help of dry grasses and so on. Crown Fire: It starts flame on the crown of the shrubs, bushes and trees and sustained on the surface. This type of fire is very dangerous because resinous material given off burning logs burn furiously. If there is a slope with fire then the fire spread from the top of the slope to the down. Ground fire occurs in the humus and peaty layers beneath the litter of under composed portion of forest floor with intense heat but practically no flame. Such fires are relatively rare and have been recorded occasionally at high altitudes in Himalayan fir and spruce forests. In Remote sensing field, the knowledge of surface temperature plays a vital role. By using brightness and emissivity feature, temperature mapping and analysis can be done. The surface temperature values are measured to detect the forest fire from the ASTER image. ASTER stands for Advanced Space borne Thermal Emission and Reflection Radiometer. ASTER image contains 5 thermal bands (wave length ranges from 8.125 μm to 11.65 μm) and these are used in comparison. To convert digital numbers to exoatmospheric radiance, ASTER thermal bands are used. The converted exoatmospheric radiance is then mapped into surface radiance using the Emissivity Normalization method

    Smart Agriculture Land Crop Protection Intrusion Detection Using Artificial Intelligence

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    Human-wildlife conflict is the term used to describe when human activity results in a negative outcome for people, their resources, wild animals, or their habitat. Human population growth encroaches on wildlife habitat, resulting in a decrease in resources. In particular habitats, there are numerous forms of human and domesticated animal death or injury as a result of conflict. Farmers and the animals that invade farmland suffer greatly as a result. Our project’s primary objective is to lessen human-animal conflict and loss. The embedded system and image processing technique are utilized in the project. Python is used to perform image processing techniques like segmentation, statistical and feature extraction using expectation maximization, and classification using CNN. The classification is used to determine whether the land is empty or if animals are present. A buzzer sound is produced, a light electric current is passed to the fence, and a message alerting the farmer to the animal’s entry into the farmland is transmitted. This prevents the animal from entering the field and enables the landowner to take the necessary steps to get the animal back to the forest. The result is serially sent to the controller broad from the control board
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