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- 저자 : Neeraj Chaudhary (검색결과 4 건)
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Influence of Hydraulic Distribution Pattern on the Rock Slope Stability under Block Toppling Failure
Neeraj Chaudhary,Subhadeep Metya,Keshav Kumar Sharma 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.4
In this paper, an analytical model for the stability analysis of rock slope subjected to block toppling pertaining to different hydraulic forms has been developed. In the traditional analytical model, ground water pressure is considered to be varied hydrostatically. To better reflect the physical situation, three different hydraulics forms have been considered in developing a stability model for a rock slope susceptible to block toppling. It is well known fact that presence of ground water causes the instability in a rock slope. The present study observes that hydraulic distribution forms also significantly influence the stability of the rock slope. Ground water pressure markedly increases the toppling forces on the blocks and reduces the normal and shear force at the base of block along failure plane, thereby causing instability. The increase in toppling force and reduction in the factor of safety on the blocks are more prominent when the flow slit is blocked, indicating a condition of permanent or seasonal frozen strata. The study highlights that adopting the traditional hydraulic form to analyse block toppling stability, considering presence of ground water would not be suitable for all field conditions. This necessitates the selection of an appropriate hydraulic distribution form based on the encountered field conditions.
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Bhanjana, Gaurav,Mehta, Navjot,Chaudhary, Ganga Ram,Dilbaghi, Neeraj,Kim, Ki-Hyun,Kumar, Sandeep Elsevier 2018 Journal of molecular liquids Vol.264 No.-
<P><B>Abstract</B></P> <P>Electrochemical sensors have attained enormous attention in last few years. Various contaminants like pesticides, explosives, pharmaceutical drugs, and biological fluids have been determined qualitatively as well as quantitatively with the assistance of cyclic voltammetry (CV), linear sweep voltammetry (LSV), amperometry, and impedance-based techniques. Nanoengineering based modified electrodes have contributed to the establishment of the on-site detection platform for various harmful analytes with the aid of electrochemical method. In this research, CV-based detection method has been developed and validated against arsenic (As<SUP>3+</SUP>) in real as well as laboratory samples. Lead pencil (<I>cost around 0.015 USD</I>) has been utilized as working electrode after modification with tin oxide (SnO<SUB>2</SUB>) nanoneedles. SnO<SUB>2</SUB> nanoneedles (size: 60–80 nm), synthesized using chemical precipitation method, were characterized for their elemental, topological, morphological and structural features. The surface of lead pencil (containing graphite/carbon (C)) was then coated with these nanoneedles with the help of nafion (as binding agent). This fabricated sensor recorded a detection limit of 10 ppb (linear range: 50–500 ppb) with ultrasensitivity of 28.13 μA cm<SUP>−2</SUP> ppb<SUP>−1</SUP>. This method was then applied to the direct ion quantitation of arsenic in real environmental and industrial samples collected from diverse locations.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Low temperature synthesis of SnO<SUB>2</SUB> nanoneedles </LI> <LI> In-depth characterization using TEM, SEM, FTIR and XRD analyses </LI> <LI> Fabrication of SnO<SUB>2</SUB>/Nafion/C pencil electrode </LI> <LI> Detection of As<SUP>3+</SUP> in real waste-water samples using fabricated electrode </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
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Robust and direct electrochemical sensing of arsenic using zirconia nanocubes
Bhanjana, Gaurav,Dilbaghi, Neeraj,Chaudhary, Savita,Kim, Ki-Hyun,Kumar, Sandeep Royal Society of Chemistry 2016 The Analyst Vol.141 No.13
<P>The presence of heavy metal ions in the environment and in food items can severely harm human health. Thus, simple, reliable, sensitive, quick, and accurate methods for their detection must be developed as a means to improve healthcare worldwide. To this end, a robust method was developed for the direct sensing of arsenic(III) in control and real environmental samples (at neutral pH) by a gold electrode that was modified with zirconia nanocubes synthesized via a facile hydrothermal route. This sensing system was used to build a sensing profile for arsenic ions after characterization of their elemental, optical, chemical, and morphological behavior. Electrochemical sensing of arsenic was achieved by cyclic voltammetry (CV) and chronoamperometry with an ultra-sensitivity of 550 nA cm(-2) ppb(-1) and a detection limit of 5 ppb (linear range of 5-60 ppb with a response time below 2 s). Although this system experienced small interference from Cd ions, the results of the real sample analysis were comparable to those of other standard techniques. The proposed method is advantageous and can be used to assess the toxicity of water, food, and other environmental samples without requiring any toxic solutions and/or gasses in any of the analytical steps. Moreover, due to its low price, portability, and easy mass production, it can be adopted for use in screen-printed electrodes.</P>
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Bundy, Jacob J,Chick, Jeffrey Forris Beecham,Hage, Anthony N,Srinivasa, Ravi N,Chaudhary, Neeraj,Srinivasa, Rajiv N,Vadlamudi, Venu,Gemmete, Joseph J BMJ Publishing Group Ltd. 2018 Journal of neurointerventional surgery Vol.10 No.12
<P><B>Purpose</B></P><P>To describe the stroke-related Twitter network through analysis of the #Stroke hashtag.</P><P><B>Materials and methods</B></P><P>621 653 tweets containing the #Stroke hashtag were analyzed from 20 March 2012 to 31 January 2018. Twitter activity metrics, engagement, user characteristics, content analysis, and network analysis were obtained using the healthcare social media analytics platform, Symplur Signals.</P><P><B>Results</B></P><P>The number of users, the number of impressions, and the number of tweets containing the #Stroke hashtag increased by an annual average of 64.9%, 87.7%, and 89.2% over the past 6 years from 20 March 2012 to 31January 2018. 69 371 tweets (11.2%) contained novel content and 48 568 tweets (7.8%) related to patient care. 181 120 (29.1%) tweets contained at least one image and 436 132 tweets (70.2%) contained links to outside resources. Stroke prevention, diabetes, and atrial fibrillation were commonly discussed topics. With regard to engagement, there were 259 438 retweets (41.7%), 366 561 mentions (59.0%), and 8549 replies (1.4%). Physicians and patients authored 52 197 (8.4%) and 41 822 (6.7%) tweets, respectively. Advocate organizations, patients, and non-healthcare individuals most frequently used the #Stroke hashtag on Twitter.</P><P><B>Conclusion</B></P><P>The use of the #Stroke hashtag on Twitter has grown significantly over the 6-year study period. The majority of the discussions were held between stroke support groups and non-healthcare-related individuals, with discussion content centering around stroke prevention, stroke symptoms, associated medical conditions, and treatment options.</P>
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