3,165 research outputs found

    Status of plankton diversity and biological productivity of Sahastradhara stream at Uttarakhand, India

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    The present contribution encompasses on plankton and biological productivity as ecological indicator for identifying the ecological quality of Sahastradhara stream (between 27 km stream stretches), located in the Doon Valley of Garhwal region in India. Monthly sampling from all the sampling sites was made for a period of 12 months (May 2009 – April 2010) at 9:00-11: 00 AM. A total of 40 taxa from different classes of plankton and zooplankton were reported. The phytoplankton (32 sp.) was found being the most abundant taxa than zooplankton (9 sp.) inSahastradhara stream. Fluctuation in the phytoplankton density was recorded highest (1536 unit/l) during winter and lowest (20 unit/l) during monsoon. Zooplanktons were reported to be maximum (147 unit/l) during summer and minimum (3 unit/l) during monsoon. The total diatoms were reported highest (1022unit/l) during starting the winter and lowest (4 unit/l) during monsoon. Green algae and blue green algae were reported to be maximum during winter and minimum during summer. The Shannon-wiener diversity index calculated for the density ofBacillariophyceae (0.2180-0.366), Chlorophyceae (0.208-0.367) and Cyanophyceae (0.391-0.366) and correlation was made between Plankton biomass and physico-chemical parameters to analyses the relative features of the both variables. The density of plankton and biological productivity were influenced by disturbances in the photic zone and indiscriminate anthropogenic activities for tourist development resulted aquatic habitat degradation in stream ecosystem

    Joint Detection and Tracking in Videos with Identification Features

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    Recent works have shown that combining object detection and tracking tasks, in the case of video data, results in higher performance for both tasks, but they require a high frame-rate as a strict requirement for performance. This is assumption is often violated in real-world applications, when models run on embedded devices, often at only a few frames per second. Videos at low frame-rate suffer from large object displacements. Here re-identification features may support to match large-displaced object detections, but current joint detection and re-identification formulations degrade the detector performance, as these two are contrasting tasks. In the real-world application having separate detector and re-id models is often not feasible, as both the memory and runtime effectively double. Towards robust long-term tracking applicable to reduced-computational-power devices, we propose the first joint optimization of detection, tracking and re-identification features for videos. Notably, our joint optimization maintains the detector performance, a typical multi-task challenge. At inference time, we leverage detections for tracking (tracking-by-detection) when the objects are visible, detectable and slowly moving in the image. We leverage instead re-identification features to match objects which disappeared (e.g. due to occlusion) for several frames or were not tracked due to fast motion (or low-frame-rate videos). Our proposed method reaches the state-of-the-art on MOT, it ranks 1st in the UA-DETRAC'18 tracking challenge among online trackers, and 3rd overall.Comment: Accepted at Image and Vision Computing Journa

    A study on ground water quality of industrial area at Gajraula (U.P.), India

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    The present study aims to identify the ground water contamination problem in villages located in the close vicinity of Gajraula industrial area at Gajraula (U.P.), India. Ground water samples were collected from different villages at the depth of 40 and 120 feet from earth’s surface layer. Analytical techniques as described in the standard methods for examination of water and waste water were adopted for physico-chemical analysis of ground water samples and the results compared with the standards given by WHO and BIS guidelines for drinking water. Water quality index was calculated for quality standard of ground water for drinking purposes. The present investigation revealed that the water quality is moderately degraded due to high range of seven water quality parameters such as Temperature (18.33-32.36 0C), conductivity (925.45-1399.59 ?mho/cm), TDS (610.80-923.73 mgL-1), Alkalinity (260.17- 339.83 mgL-1), Ca-Hardness (129.68-181.17 mgL-1), Mg-Hardness (94.07-113.50 mgLÉ1) and COD (13.99-25.62 mgL-1). The water quality index (WQI) also indicated the all the water quality rating comes under the standard marginal values (45-64) i.e. water quality is frequently threatened or impaired and conditions usually depart from natural or desirable levels

    Synthesis and characterization of biodegradable lignin nanoparticles with tunable surface properties

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    Lignin nanoparticles can serve as biodegradable carriers of biocidal actives with minimal environmental footprint. Here we describe the colloidal synthesis and interfacial design of nanoparticles with tunable surface properties using two different lignin precursors, Kraft (Indulin AT) lignin and Organosolv (high-purity lignin). The green synthesis process is based on flash precipitation of dissolved lignin polymer, which enabled the formation of nanoparticles in the size range of 45–250 nm. The size evolution of the two types of lignin particles is fitted on the basis of modified diffusive growth kinetics and mass balance dependencies. The surface properties of the nanoparticles are fine-tuned by coating them with a cationic polyelectrolyte, poly(diallyldimethylammonium chloride). We analyze how the colloidal stability and dispersion properties of these two types of nanoparticles vary as a function of pH and salinities. The data show that the properties of the nanoparticles are governed by the type of lignin used and the presence of polyelectrolyte surface coating. The coating allows the control of the nanoparticles’ surface charge and the extension of their stability into strongly basic regimes, facilitating their potential application at extreme pH conditions

    Preventing Collaborative Attack by Cooperative Bait Detection Approach

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    Mobile Ad-hoc Network (MANET) falls in the class of remote impromptu system, and is a self-arranging system. Every gadget is allowed to move autonomously in any course, and henceforth will change its connection with different gadgets as often as possible. Every hub must forward movement which is not identified with its own particular use, and in this manner be both a switch and a recipient. This element likewise accompanies a genuine disadvantage from the security perspective. Within the sight of pernicious nodes, this necessity may lead genuine security worries; for occurrence, such node may irritate the directing procedure. In this connection, forestalling or distinguishing noxious nodes dispatching grayhole or collaborative black hole in test. This anticipate endeavors to decide this issue by planning a dynamic source routing (DSR)- based routing mechnism, which is alluded to as the Cooperative Bait Detection System(CBDS), that organizes the upsides of both proactive and receptive safeguard structures. This paper proposes a recognition plan called the Cooperative Bait Detection System (CBDS), which goes for distinguishing and counteracting noxious nodes propelling grayhole/Collaborative blackhole assaults in MANETs

    COMMIPHORA MUKUL EXTRACT AND GUGGULSTERONE EXHIBIT ANTITUMOUR ACTIVITY THROUGH INHIBITION OF CYCLIN D1, NF-Κß AND INDUCTION OF APOPTOSIS IN ORAL CANCER CELLS

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    ABSTRACTComiphora mukul, a promising medicinal plant and its constituent Guggulsterone (GS) is used in Ayurveda since decades. This study was aimed toinvestigate the anticancer potential of C. mukul and GS on oral cancer cell lines (SCC-4, KB). MTT assay was used to determine tumour cell proliferation,propidium iodide labeling and annexin V- binding, followed by flow cytometry was used to determine cell cycle and apoptosis of tumor cells aftertreatment. Expression of regulatory proteins such as NF-κß, cyclin D1, p53 and vascular endothelial growth factor was determined by western blot.C. mukul and GS significantly inhibited tumor cell growth, caused cell cycle arrest and apoptosis in both tumor cells. Such activities appeared to bedue to inhibition of NF-κß, cyclin D1and restoration of p53. Overall our data suggests that C. mukul and GS may be developed as chemopreventive andchemotherapeutic drug for oral cancer.Keywords: Commiphora mukul, Oral cancer, Antitumor, Cell cycle, Apoptosis, NF-κß, Cyclin D1, P53

    Enhanced Joule Heating in Umbral Dots

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    We present a study of magnetic profiles of umbral dots (UDs) and its consequences on the Joule heating mechanisms. Hamedivafa (2003) studied Joule heating using vertical component of magnetic field. In this paper UDs magnetic profile has been investigated including the new azimuthal component of magnetic field which might explain the relatively larger enhancement of Joule heating causing more brightness near circumference of UD.Comment: 8 pages, 1 figure, accepted in Solar Physic

    First record of Chaetonotus (Primochaetus) heideri(Gastrotricha, Chaetonotida) from India

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    This study briefly reports a newly recorded gastrotrich species, Chaetonotus (Primochaetus) heideri Brehm, 1917, which was isolated from the water sample collected from the Ramsar site Khajjiar Lake, Himachal Pradesh, India. A brief description of the Indian population, based on photomicrographs taken from live specimens, is presented here. The species is reporte

    CLOZAPINE INDUCED PARALYTIC ILEUS

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    Clozapine is an atypical antipsychotic drug used for the treatment of schizophrenia in patient not responding to other antipsychotics. Dry mouth, constipation, loss of accommodation and urinary retention are the common side effects encountered with this drug. Here we are reporting a case of paralytic ileus secondary to clozapin
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