2,866 research outputs found
Acute Ethanol Administration Rapidly Increases Phosphorylation of Conventional Protein Kinase C in Specific Mammalian Brain Regions in Vivo
No full textBackground
Protein kinase C (PKC) is a family of isoenzymes that regulate a variety of functions in the central nervous system including neurotransmitter release, ion channel activity, and cell differentiation. Growing evidence suggests that specific isoforms of PKC influence a variety of behavioral, biochemical, and physiological effects of ethanol in mammals. The purpose of this study was to determine whether acute ethanol exposure alters phosphorylation of conventional PKC isoforms at a threonine 674 (p-cPKC) site in the hydrophobic domain of the kinase, which is required for its catalytic activity.
Methods
Male rats were administered a dose range of ethanol (0, 0.5, 1, or 2 g/kg, intragastric) and brain tissue was removed 10 minutes later for evaluation of changes in p-cPKC expression using immunohistochemistry and Western blot methods.
Results
Immunohistochemical data show that the highest dose of ethanol (2 g/kg) rapidly increases p-cPKC immunoreactivity specifically in the nucleus accumbens (core and shell), lateral septum, and hippocampus (CA3 and dentate gyrus). Western blot analysis further showed that ethanol (2 g/kg) increased p-cPKC expression in the P2 membrane fraction of tissue from the nucleus accumbens and hippocampus. Although p-cPKC was expressed in numerous other brain regions, including the caudate nucleus, amygdala, and cortex, no changes were observed in response to acute ethanol. Total PKC? immunoreactivity was surveyed throughout the brain and showed no change following acute ethanol injection
Bibliographics for the 983 eprints in the live archives of E-LIS : trends and status report up to 7th July 2004, based on author-self-archiving metadata
No full textThe priority for ideas and philosophy related to "Network Theory" have been traced back and documented by Braun(2004),and credit goes to Karinthy(1929).The IT has empowered to realise it, as the most practical phenomena and it is no more a humour. The OAI (Open Archives Initiatives)and ACIS (Academic Contributor Information System)are progressive in the direction ,which may lead to realise the "Collective Genius" at global level. Focus of present study is on Author-Self-Archiving (A-S-A)Metadata of the 983 Eprints in the Live Archives of the E-LIS (EPrints of Library and Information Science),which were approved till 7th July 2004.The A-S-A Metadata was used for librametric analysis. Self-explanatory bibliographics are illustrated.The highlights include: Conference papers (34%); highest approval, June 2004 (28%); published archives (76%);not refereed (52%); not in public domain (60%); highest self-archiving-author (De Robbio, Antonella).The Nos. of EPrints having single JITA domain specifications were: Theoretical and general aspects of libraries and information(27); Information use and sociology of information(80);Users,literacy and reading(13);Libraries as physical collections(30);Publishing and legal issues(57);Management(13);Industry, profession and education(36);Information sources, supports, channels(113) ; Information treatment for information services, Information functions and techniques (101); Technical services libraries, archives and museums(25); Housing technologies(1); Information technology and library technology(92); and Inter-domainery (395) i.e. having specifications of two or more than two JITA classes
Nitric Oxide as a Determinant of Human Longevity and Health Span
No full textThe master molecular regulators and mechanisms determining longevity and health span include nitric oxide (NO) and superoxide anion radicals (SOR). L-arginine, the NO synthase (NOS) substrate, can restore a healthy ratio between the dangerous SOR and the protective NO radical to promote healthy aging. Antioxidant supplementation orchestrates protection against oxidative stress and damage—L-arginine and antioxidants such as vitamin C increase NO production and bioavailability. Uncoupling of NO generation with the appearance of SOR can be induced by asymmetric dimethylarginine (ADMA). L-arginine can displace ADMA from the site of NO formation if sufficient amounts of the amino acid are available. Antioxidants such as ascorbic acids can scavenge SOR and increase the bioavailability of NO. The topics of this review are the complex interactions of antioxidant agents with L-arginine, which determine NO bioactivity and protection against age-related degeneration
FIGURE 2 in Rediscovery of Liara (Unalianus) heteracanthus (Redtenbacher, 1891) (Orthoptera: Tettigoniidae: Conocephalinae: Agraeciini) from India with notes on its distribution
No full textFIGURE 2. Liara (Unalianus) heteracanthus (Redtenbacher, 1891) (Male). A—Head & pronotum, dorsal view. B—Frons. C—Head & pronotum, lateral view. D—Sternum, ventral view. E—Abdominal apex, dorsal view. F—Abdominal apex, apical view. G—Abdominal apex, ventral view. H—Fore leg, ventral view. I—Fore tibia, dorsal view. J—Middle leg, ventral view. K—Hind femur, ventral view. L—Hind tibia, dorsal view.Published as part of Kumar, Hirdesh, Kushwaha, Sandeep & Chand, D. Suresh, 2021, Rediscovery of Liara (Unalianus) heteracanthus (Redtenbacher, 1891) (Orthoptera: Tettigoniidae: Conocephalinae: Agraeciini) from India with notes on its distribution, pp. 166-170 in Zootaxa 5020 (1) on page 169, DOI: 10.11646/zootaxa.5020.1.8, http://zenodo.org/record/522313
Ageing and temperature-dependent behaviour of CdS nanoparticles
No full textNanoparticles of inorganinc semiconductors in the form of coloids have attracted researchers due to their interesting optical properties. We report the process of the controlled coalescence of the nanoparticles in a colloid with time and also with temperature. Cadmium sulfide (CdS) nanoparticles were prepared in ethylene glycol (EG). The size of the particles was estimated by X-ray diffraction and transmission electron microscopy and matched with the optical absorption data. The particles in the EG matrix were subjected to controlled annealing and the shift in the absorption edge towards its bulk value (similar to 2.4 eV) was monitored. The change in the band gap value has been used to calculate the increasing particle radii using the effective-mass model. A similar effect is also reported with ageing of these particulates. (C) 2009 WILEY-VCH Verlag GmBH & co. KGaA, Weinhei
Modern techniques for agricultural disease management and crop yield prediction Advances in environmental engineering and green technologies (AEEGT) book series./ N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, Sonia Abdellatif, [editors].
No full text"eISSN: 2326-9170."Includes compilation of bibliographical references (pages 259-284) and index."This book explores the current practices and widespread open challenges in the field of applications of computational techniques in smart agriculture. It also examines computational methods that will aid in agriculture disease management, weed detection, and crop yield prediction"--Provided by publisher.Issues and challenges in smart farming for sustainable agriculture / Immanuel Zion Ramdinthara, Shanthi Bala P -- Image processing techniques aiding smart agriculture / Aspira S. Tripathy, Deepak Kumar Sharma -- Expert system design for diagnosis of diseases for paddy crop / Sreekantha Desai Karanam, Deepthi M.B. -- Deep learning and computer vision in smart agriculture / Shiv Kumar, Agrima Yadav, Deepak Kumar Sharma -- Computer vision for green plant segmentation and leaf count / Praveen Kumar J., Domnic S. -- Automatic data acquisition and spot disease identification system in plants pathology domain : agricultural intelligence system in plant pathology domain / Rajesh T.M., Kavyashree Dalawai, Pradeep N. -- Applications of data mining techniques in smart farming for sustainable agriculture / Anandhavalli Muniasamy -- Agro guardian : a smart agriculture framework for precision farming / Sanjeevakumar M. Hatture, Susen P. Naik -- A study on technology-LED solution for fruit grading to address post-harvest handling issues of horticultural crops / Arun Kumar R., Vijay S. Rajpurohit, Sandeep Kautish -- Optimized data mining techniques for outlier detection, removal, and management zone delineation for yield prediction / Roopa G.M., Arun Kumar G.H., Naveen Kumar J.R., Nirmala C.R.1 online resource (xix, 291 pages)
Anomaly-Based DNN Model for Intrusion Detection in IoT and Model Explanation: Explainable Artificial Intelligence
No full textIoT has gained immense popularity recently with advancements in technologies and big data. IoT network is dynamically increasing with the addition of devices, and the big data is generated within the network, making the network vulnerable to attacks. Thus, network security is essential, and an intrusion detection system is needed. In this paper, we proposed a deep learning-based model for detecting intrusions or attacks in IoT networks. We constructed a DNN model, applied a filter method for feature reduction, and tuned the model with different parameters. We also compared the performance of DNN with other machine learning techniques in terms of accuracy, and the proposed DNN model with weight decay of 0.0001 and dropout rate of 0.01 achieved an accuracy of 0.993, and the reduced loss on the NSL-KDD dataset having five classes. DL models are a black box and hard to understand, so we explained the model predictions using LIME.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Cyber Securit
A comprehensive lattice-stability limit surface for graphene
No full textThe limits of reversible deformation in graphene under various loadings are examined using lattice-dynamical stability analysis. This information is then used to construct a comprehensive lattice-stability limit surface for graphene, which provides an analytical description of incipient lattice instabilities of all kinds, for arbitrary deformations, parametrized in terms of symmetry-invariants of strain/stress. Symmetry-invariants allow obtaining an accurate parametrization with a minimal number of coefficients. Based on this limit surface, we deduce a general continuum criterion for the onset of all kinds of lattice-stabilities in graphene: an instability appears when the magnitude of the deviatoric strain γ reaches a critical value γ c which depends upon the mean normal strain E¯ and the directionality θ of the principal deviatoric stretch with respect to reference lattice orientation. We also distinguish between the distinct regions of the limit surface that correspond to fundamentally different mechanisms of lattice instabilities in graphene, such as structural versus material instabilities, and long-wave (elastic) versus short-wave instabilities. Utility of this limit surface is demonstrated in assessment of incipient failures in defect-free graphene via its implementation in a continuum finite elements analysis (FEA). The resulting scheme enables on-the-fly assessments of not only the macroscopic conditions (e.g., load and deflection) but also the microscopic conditions (e.g., local stress/strain, spatial location, temporal proximity, and nature of incipient lattice instability) at which an instability occurs in a defect-free graphene sheet subjected to an arbitrary loading condition. Keywords
Graphene
Ideal strength
Lattice-stability limits
Finite element analysi
Waste cooking oil to jet-diesel fuel range using 2-propanol via catalytic transfer hydrogenation reactions
No full text2-propanol (99.9 wt%) was used as an H-donor to produce jet/diesel-fuel range from waste cooking oil (WCO) over a fixed bed of granular activated carbon in a continuous flow reactor. The reactions were carried out at 2 bar and at a temperature range of 300–400 °C with weight hourly space velocity (WHSV) of 6.7 h−1. An optimum yield of 72% liquid hydrocarbon (LHC) at 380 °C was observed. The LHC contained 32% alkanes, 16% aromatics and 37% alkenes at the optimum temperature. Using 2-propanol as an in situ hydrogen source will potentially reduce the volume ratio of hydrogen source to oil (0.4 L 2-propanol/L WCO) compared to what is reported in the literature for conventional use of hydrogen gas at high pressures. Evaluation of reaction kinetics revealed that the rate of catalytic transfer hydrogenation of WCO is second order with an activation energy of 53 kJ/mol. With 10 hours of continuous catalytic transfer hydrogenation (CTH) of WCO, the catalyst maintained its catalytic activity despite the inherent coke formation. Catalytic Transfer Hydrogenation of waste cooking oil (70% C18:2 & C18:1) using 2-propanol at 2 bars and 380 °C over activated carbon</p
Limitations and future applications of quantum cryptography Advances in information security, privacy, and ethics (AISPE) book series./ Neeraj Kumar, Alka Agrawal, Brijesh K. Chaurasia, Raees Ahmad Khan.
No full text"Premier Reference Source"--Taken from front coverIncludes bibliographical references and index."This book is for security experts as well as for IoT developers to help them understand the concepts related to quantum cryptography and classical cryptography and providing a direction to security professionals and IoT solution developers toward using approaches of Quantum Cryptography as available computational power increases"--VLSI architecture of substitution box / Abhishek Kumar, Suman Tripathi -- Fundamentals of quantum computing, quantum supremacy and quantum machine learning / Kamaljit Lakhtaria, Vrunda Gadesha -- Quantum security for IoT to secure healthcare applications and it's data / Binod Kumar, Sheetal Prasad -- Data hiding in color image using steganography and cryptography to support message privacy / Sabyasachi Pramanik, Ramkrishna Ghosh, Sneh Kalra, Jayeeta Majumder, Digvijay Pandey, Souvik Pal -- Quantum computing : concept, applications and need of law for its enforcement / Neeraj Kumar, Alka Agrawal -- Quantum algorithms with applications to cryptography : quantum algorithms / Renata Wong, Amandeep Bhatia -- Implications on quantum cryptography : cryptography / Varsha Sahni, Neeraj Kumar, Sujatha Krishnamoorthy -- A contemporary study on quantum-computing security mechanisms in 5G networks / Rydhm Beri -- Define security and privacy using quantum internet / Nilay Mistry, Ankit Dholakiya, Jay Prajapati -- Quantum and visual crypto biometric based secured authentication system transactions, server and locker system in cloud / Nandini C., Jahnavi S. -- The role of quantum computing in software forensics & digital evidence : issues and challenges / Sandeep Sharma, Mazhar Khaliq -- Recent progress in quantum machine learning / Amandeep Bhatia, Renata Wong -- Advances of quantum machine learning / Bhanu Chander -- Image processing using quantum computing : a review / Bably Dolly, Deepa Raj -- Quantum cryptography for securing IoT based healthcare system / Anand Sharma -- Function optimization using IBM Q / Soumyajit Goswami.1 online resource (xxvii, 305 pages)
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