Stnms

Why register with edustoke? • Get free offers, admission fee waivers & scholarships from select schools • Get free verified authentic unbiased information trusted by 1 Crore parents • Direct admission access to over 2000 schools • Personalized counseling for admission support • Admission notifications from schools About School The School aims at awakening moral and cultural values in its students with a keen desire to follow higher and nobler objectives throughout their lives. The objective is to create a real human resource that can acquire an International approach to everyday problems of life and society and takes a justified place in the rich cultural heritage of the country Admission Process "a) Only the registered candidates will be called for entrance test which will be held in February. b) The test may be written or oral as laid down by the school for different levels. c) The test will be held for English, EVS/Science and Mathematics. d) Syllabus for the entrance test will be the basic knowledge of previous year in English, EVS/Science and Mathematics. e) The date for entrance test will be informed through SMS on your mobile number which is mentioned in the registration form."

Webserver Signature: cloudflare Response status code: 200 Response speed: 5435 milliseconds HTTP headers • CF-Cache-Status: DYNAMIC • CF-RAY: 565ec094b902c504-ORD • Cache-Control: private • Connection: keep-alive • Content-Length: 6264 • Date: Sun, 16 Feb 2020 10:14:01 GMT • Expect-CT: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct" • Set-Cookie: __cfduid=dbaa5a8a8c2a0b8b6a42153ae109924581581848041; expires=Tue, 17-Mar-20 10:14:01 GMT; path=/; domain=.hugedomains.com; HttpOnly; SameSite=Lax, captcha-tracker=; expires=Sat, 15-Feb-2020 10:14:01 GMT; path=/ • X-Powered-By: ASP.NET updated on 2/16/20, 12:49 PM WHOIS stnms.com The « WhoIs » is a publicly available database that stores the registration information on a domain name. Creation date: Saturday, February 15, 2020 Expiration date: Monday, February 15, 2021 Record last update: Saturday, February 15, 2020 Domain ID: 2493107239_DOMAIN_COM-VRSN Registrar: DropCatch.com 805 LLC Registrar IANA ID: 2564 Domain status: clientTransferProhibited Nameservers: NSG1.NAMEBRIGHTDNS.COM and NSG2.NAMEBRIGHTDNS.COM WHOIS server: whois.namebright.com Apex SOA TTL: 10800 Serial number: 2020021601 Retry: 5000 Negative caching time: 10800 Primary master: nsg1.namebrightdns.com. Zone admin: dns.namebright.com. Refresh: 28800 Expire: 1209600 NS TTL: 10800 Servers: nsg2.namebrightdns.com and nsg1.namebrightdns.com MX TTL: 3600 Server: • anmail.namebrightmail.com - 10 A TTL: 60 Canonical name: HDRedirect-...

"Sant Tukaram National Model School" is a residential cum Day Boarding School run by Shiv Chhatrapati Shikshan Sanstha, Latur. The founder and the Chairman Dr. Gopalrao Vittalrao Patil is a man of strong principles and dreams. The foundation of the institution was laid in the year 2009. The members of the management of the School are a group of Trusters who are fully devoted to the cause of education and educational service. The ambition is to make "Sant Tukaram National Model School" a school to foster complete education. Along with the academics, special attention is given to value based education, basic life skills and the promotion of scientific attitude. The school is affiliated to the Central Board of Secondary Education (CBSE), New Delhi curriculum and is set out on 17 acres land located at Barshi Road is Latur suburbs. Admission Procedure a) Registration forms will be open from the month of January. b) A duly filled registration form is to be submitted in the school office by hand. Admission Test a) Only the registered candidates will be called for entrance test which will be held in February. b) The test may be written or oral as laid down by the school for different levels. c) The test will be held for English, EVS/Science and Mathematics. d) Syllabus for the entrance test will be the basic knowledge of previous year in English, EVS/Science and Mathematics. e) The date for entrance test will be informed through SMS on your mobile number which is mentioned in the ...

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Materials with selective wettabilities are widely used for effective liquid separation in environmental protection and the chemical industry. Current liquid separation strategies are primarily based on covalent modification to control the membranes’ surface energy, or are based on gating mechanisms to accurately tune the gating threshold of the transport substance. Herein, we demonstrate a simple and universal polarity-based protocol to regulate the wetting behavior of superamphiphilic porous nanofibrous membranes by infusing a high polar component of surface energy liquid into the membranes, forming a relatively stable liquid-infusion-interface to repel the immiscible low polar component of surface energy liquid. Even immiscible liquids with a surface energy difference as small as 2 mJ m −2, or emulsions stabilized by emulsifiers can be effectively separated. Furthermore, the infused liquid can be substituted by another immiscible liquid with a higher polar component of surface energy, affording successive separation of multiphase liquids. Much effort has been given to the separation of water (surface energy, SE = 72.8 mJ m -2) and oils (mainly...

Over past decades, nanotechnology has contributed to the via opto-electronic properties or enhancement of biological effects. Though generally considered inert delivery vehicles, a plethora of past and present evidence demonstrates that also exude unique intrinsic biological activity based on . These intrinsic biological activities, termed self-therapeutic properties, take several forms, including mediation of cell–cell interactions, modulation of interactions between events. Moreover, study of biomolecule-nanomaterial interactions offers a promising avenue for uncovering the molecular mechanisms of biology and the evolution of disease. In this review, we observe the historical development, synthesis, and characterization of self-therapeutic nanomaterials. Next, we discuss nanomaterial interactions with biological systems, starting with administration and concluding with elimination. Finally, we apply this materials perspective to advances in intrinsic nanotherapies across the biomedical field, from cancer therapy to treatment of microbial infections and Introduction Nanomatter is comprised of materials on the scale of 1 to 100 nm that exhibit properties not observed in similar bulk samples [1], [2]. Nanomaterial development has exploded within the biomedical community in recent decades in an attempt to harness these properties; as a result, biomedical nanomaterials have been shown to exhibit opto-electronic properties and selectively interact with biomacromolecules in way...

Detecting stochastic temporal network motifs for human communication patterns analysis Detecting stochastic temporal network motifs for human communication patterns analysis Liu, Kai; Cheung, William K.; Liu, Jiming 2013-08-25 00:00:00 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining Detecting Stochastic Temporal Network Motifs for Human Communication Patterns Analysis Kai Liu Department of Computer Science Hong Kong Baptist University Hong Kong, China Email:[email protected] William K. Cheung Department of Computer Science Hong Kong Baptist University Hong Kong, China Email:[email protected] Jiming Liu Department of Computer Science Hong Kong Baptist University Hong Kong, China Email:[email protected] Abstract--Many real-world problems exhibit phenomena which are best represented as complex networks with dynamic structures (e.g., human communication networks). Network motifs have been shown effective for characterizing the structural properties of such complex networks. Nevertheless, related motif models typically do not consider stochastic structural and sequential variations, hinting their limitations on dynamic network analysis. In this paper, we consider networks with time-stamped edges and model their local structural and temporal variations using a mixture of Markov chains for stochastic temporal network motif detection. The optimal number of motifs is automatically estimated in a Bayesian framework. We evalu...