Готові списки джерел за темами / SMAR1

Добірка наукової літератури з теми "SMAR1"

Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "SMAR1"

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Bhattacharya, Apoorva, Shravanti Mukherjee, Poulami Khan, Shruti Banerjee, Apratim Dutta, Nilanjan Banerjee, Debomita Sengupta, et al. "SMAR1 repression by pluripotency factors and consequent chemoresistance in breast cancer stem-like cells is reversed by aspirin." Science Signaling 13, no. 654 (October 20, 2020): eaay6077. http://dx.doi.org/10.1126/scisignal.aay6077.

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The high abundance of drug efflux pumps in cancer stem cells (CSCs) contributes to chemotherapy resistance. The transcriptional regulator SMAR1 suppresses CSC expansion in colorectal cancer, and increased abundance of SMAR1 is associated with better prognosis. Here, we found in breast tumors that the expression of SMAR1 was decreased in CSCs through the cooperative interaction of the pluripotency factors Oct4 and Sox2 with the histone deacetylase HDAC1. Overexpressing SMAR1 sensitized CSCs to chemotherapy through SMAR1-dependent recruitment of HDAC2 to the promoter of the gene encoding the drug efflux pump ABCG2. Treating cultured CSCs or 4T1 tumor-bearing mice with the nonsteroidal anti-inflammatory drug aspirin restored SMAR1 expression and ABCG2 repression and enhanced tumor sensitivity to doxorubicin. Our findings reveal transcriptional mechanisms regulating SMAR1 that also regulate cancer stemness and chemoresistance and suggest that, by restoring SMAR1 expression, aspirin might enhance chemotherapeutic efficacy in patients with stem-like tumors.
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2

Rampalli, Shravanti, L. Pavithra, Altaf Bhatt, Tapas K. Kundu, and Samit Chattopadhyay. "Tumor Suppressor SMAR1 Mediates Cyclin D1 Repression by Recruitment of the SIN3/Histone Deacetylase 1 Complex." Molecular and Cellular Biology 25, no. 19 (October 1, 2005): 8415–29. http://dx.doi.org/10.1128/mcb.25.19.8415-8429.2005.

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ABSTRACT Matrix attachment region binding proteins have been shown to play an important role in gene regulation by altering chromatin in a stage- and tissue-specific manner. Our previous studies report that SMAR1, a matrix-associated protein, regresses B16-F1-induced tumors in mice. Here we show SMAR1 targets the cyclin D1 promoter, a gene product whose dysregulation is attributed to breast malignancies. Our studies reveal that SMAR1 represses cyclin D1 gene expression, which can be reversed by small interfering RNA specific to SMAR1. We demonstrate that SMAR1 interacts with histone deacetylation complex 1, SIN3, and pocket retinoblastomas to form a multiprotein repressor complex. This interaction is mediated by the SMAR1(160-350) domain. Our data suggest SMAR1 recruits a repressor complex to the cyclin D1 promoter that results in deacetylation of chromatin at that locus, which spreads to a distance of at least the 5 kb studied upstream of the cyclin D1 promoter. Interestingly, we find that the high induction of cyclin D1 in breast cancer cell lines can be correlated to the decreased levels of SMAR1 in these lines. Our results establish the molecular mechanism exhibited by SMAR1 to regulate cyclin D1 by modification of chromatin.
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3

Nakka, Kiran Kumar, Nidhi Chaudhary, Shruti Joshi, Jyotsna Bhat, Kulwant Singh, Subhrangsu Chatterjee, Renu Malhotra, et al. "Nuclear matrix-associated protein SMAR1 regulates alternative splicing via HDAC6-mediated deacetylation of Sam68." Proceedings of the National Academy of Sciences 112, no. 26 (June 15, 2015): E3374—E3383. http://dx.doi.org/10.1073/pnas.1418603112.

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Анотація:
Pre-mRNA splicing is a complex regulatory nexus modulated by various trans-factors and their posttranslational modifications to create a dynamic transcriptome through alternative splicing. Signal-induced phosphorylation and dephosphorylation of trans-factors are known to regulate alternative splicing. However, the role of other posttranslational modifications, such as deacetylation/acetylation, methylation, and ubiquitination, that could modulate alternative splicing in either a signal-dependent or -independent manner remain enigmatic. Here, we demonstrate that Scaffold/matrix-associated region-binding protein 1 (SMAR1) negatively regulates alternative splicing through histone deacetylase 6 (HDAC6)-mediated deacetylation of RNA-binding protein Sam68 (Src-associated substrate during mitosis of 68 kDa). SMAR1 is enriched in nuclear splicing speckles and associates with the snRNAs that are involved in splice site recognition. ERK–MAPK pathway that regulates alternative splicing facilitates ERK-1/2–mediated phosphorylation of SMAR1 at threonines 345 and 360 and localizes SMAR1 to the cytoplasm, preventing its interaction with Sam68. We showed that endogenously, SMAR1 through HDAC6 maintains Sam68 in a deacetylated state. However, knockdown or ERK-mediated phosphorylation of SMAR1 releases the inhibitory SMAR1–HDAC6–Sam68 complex, facilitating Sam68 acetylation and alternative splicing. Furthermore, loss of heterozygosity at the Chr.16q24.3 locus in breast cancer cells, wherein the human homolog of SMAR1 (BANP) has been mapped, enhances Sam68 acetylation and CD44 variant exon inclusion. In addition, tail-vein injections in mice with human breast cancer MCF-7 cells depleted for SMAR1 showed increased CD44 variant exon inclusion and concomitant metastatic propensity, confirming the functional role of SMAR1 in regulation of alternative splicing. Thus, our results reveal the complex molecular mechanism underlying SMAR1-mediated signal-dependent and -independent regulation of alternative splicing via Sam68 deacetylation.
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4

Jalota, Archana, Kamini Singh, Lakshminarasimhan Pavithra, Ruchika Kaul-Ghanekar, Shahid Jameel, and Samit Chattopadhyay. "Tumor Suppressor SMAR1 Activates and Stabilizes p53 through Its Arginine-Serine-rich Motif." Journal of Biological Chemistry 280, no. 16 (February 8, 2005): 16019–29. http://dx.doi.org/10.1074/jbc.m413200200.

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Various stresses and DNA-damaging agents trigger transcriptional activity of p53 by post-translational modifications, making it a global regulatory switch that controls cell proliferation and apoptosis. Earlier we have shown that the novel MAR-associated protein SMAR1 interacts with p53. Here we delineate the minimal domain of SMAR1 (the arginine-serine-rich domain) that is phosphorylated by protein kinase C family proteins and is responsible for p53 interaction, activation, and stabilization within the nucleus. SMAR1-mediated stabilization of p53 is brought about by inhibiting Mdm2-mediated degradation of p53. We also demonstrate that this arginine-serine (RS)-rich domain triggers the various cell cycle modulating proteins that decide cell fate. Furthermore, phenotypic knock-down experiments using small interfering RNA showed that SMAR1 is required for activation and nuclear retention of p53. The level of phosphorylated p53 was significantly increased in the thymus of SMAR1 transgenic mice, showingin vivosignificance of SMAR1 expression. This is the first report that demonstrates the mechanism of action of the MAR-binding protein SMAR1 in modulating the activity of p53, often referred to as the “guardian of the genome.”
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5

Malik, Md Zubbair, Md Jahoor Alam, Romana Ishrat, Subhash M. Agarwal, and R. K. Brojen Singh. "Control of apoptosis by SMAR1." Molecular BioSystems 13, no. 2 (2017): 350–62. http://dx.doi.org/10.1039/c6mb00525j.

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6

Zhou, L. "How smart can it be: transcriptional regulation of T helper cells by SMAR1." Mucosal Immunology 8, no. 6 (July 29, 2015): 1181–83. http://dx.doi.org/10.1038/mi.2015.71.

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7

Faucher, Frédérick, and Zongchao Jia. "High-resolution structure of AKR1a4 in the apo form and its interaction with ligands." Acta Crystallographica Section F Structural Biology and Crystallization Communications 68, no. 11 (October 26, 2012): 1271–74. http://dx.doi.org/10.1107/s1744309112037128.

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Aldo-keto reductase 1a4 (AKR1a4; EC 1.1.1.2) is the mouse orthologue of human aldehyde reductase (AKR1a1), the founding member of the AKR family. As an NADPH-dependent enzyme, AKR1a4 catalyses the conversion of D-glucuronate to L-gulonate. AKR1a4 is involved in ascorbate biosynthesis in mice, but has also recently been found to interact with SMAR1, providing a novel mechanism of ROS regulation by ATM. Here, the crystal structure of AKR1a4 in its apo form at 1.64 Å resolution as well as the characterization of the binding of AKR1a4 to NADPH and P44, a peptide derived from SMAR1, is presented.
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8

Mittal, Smriti P. K., Jinumary Mathai, Abhijeet P. Kulkarni, Jayanta K. Pal, and Samit Chattopadhyay. "miR-320a regulates erythroid differentiation through MAR binding protein SMAR1." International Journal of Biochemistry & Cell Biology 45, no. 11 (November 2013): 2519–29. http://dx.doi.org/10.1016/j.biocel.2013.07.006.

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9

Malonia, Sunil Kumar, Surajit Sinha, Pavithra Lakshminarasimhan, Kamini Singh, Archana Jalota-Badhwar, Shravanti Rampalli, Ruchika Kaul-Ghanekar, and Samit Chattopadhyay. "Gene regulation by SMAR1: Role in cellular homeostasis and cancer." Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 1815, no. 1 (January 2011): 1–12. http://dx.doi.org/10.1016/j.bbcan.2010.08.003.

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10

Taye, Nandaraj, Aftab Alam, Suvankar Ghorai, Deya Ghosh Chatterji, Apoorva Parulekar, Devraj Mogare, Snahlata Singh та ін. "SMAR1 inhibits Wnt/β-catenin signaling and prevents colorectal cancer progression". Oncotarget 9, № 30 (20 квітня 2018): 21322–36. http://dx.doi.org/10.18632/oncotarget.25093.

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Більше джерел

Дисертації з теми "SMAR1"

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Sutter, Julien. "SMAR1,un composant de la matrice nucléaire : quelques caractéristiques structurales et fonctionnelles du gène et de la protéine." Université Louis Pasteur (Strasbourg) (1971-2008), 2003. http://www.theses.fr/2003STR13232.

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Faanes, Erlend Kydland. "Smart Cities - Smart Homes and Smart Home Technology." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for sosialt arbeid og helsevitenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25978.

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This master’s thesis consists of two articles where the first article is theoretical and the second is the empirical study. Article I The purpose with this paper is to explore and illuminate how smart home and smart home technology can contribute to enhance health and Quality of Life in elderly citizens and allow them to live longer in their home. The paper provides a brief introduction to health promotion and highlights the thesis theoretical framework and foundation of Aaron Antonovsky’s theory of Salutogenesis. In light of a growing elderly population worldwide, many nations are eager to search for new ways to meet this challenge. One of several possible solutions to this is smart homes and smart home technology. The papers concluding remarks is that even though there exists little empirical data in relation to achieved health benefits the literature shows that smart homes and smart home technology might contribute to enhance QoL in elderly citizens. Furthermore the paper is providing a proposal to a health promotional (salutogenic) framework and an example on how salutogenesis can be used in a practical and new way of thinking in relation to future development of smart homes and smart home technology. Article II The study’s primary objective is to examine in which ways smart homes and smart home technology can contribute to enhance health and Quality of Life (QoL) in elderly citizens and allow them to live longer in their homes. In addition to this it aims to explore if such technology increases safety, independence and enhances social activity. Six in-depth interviews with elderly citizens living in a smart home make the basis of the result. The interview protocol included questions regarding QoL, smart homes and smart home technology, safety and security and independence. The interviews were recorded and the recordings were transcribed. To analyze the data material a content analysis  and systematical text condensation were used as inspiration. The results showed that there wasn’t a single factor that could contribute to an enhancement in QoL, but the totality of several. The study concludes that smart homes and smart home technology can contribute to enhance health and QoL in elderly citizens and master to live longer in their homes, but further investigation is needed in order to draw a final conclusion.
Denne masteroppgaven er skrevet i artikkelform og består av en teoretisk og en empirisk artikkel. Artikkel I Hensikten artikkelen er å utforske og belyse hvordan smarthus og smarthusteknologi kan være med på å forbedre helse og livskvalitet hos eldre mennesker. I tillegg til dette undersøkes det om denne teknologien kan bidra til å øke eldre menneskers muligheter for å bo lengre i sine egne hjem. Artikkelen gir en kort innføring i helsefremming, og belyser masteroppgavens teoretiske rammeverk og fundament i Aaron Antonovsky’s teori om Salutogenese. I lyset av en raskt voksende aldrende befolkning verden over, er mange nasjoner ivrige etter å søke nye metoder for å møte denne utfordringen. En av flere mulige løsninger til dette er smarthus og smarthusteknologi. Artikkelens avsluttende bemerkninger er at selv om det finnes lite empirisk data på dette feltet, viser litteraturen at smarthus og smarthusteknologi kan være med å bidra til en økning i livskvalitet hos eldre mennesker, dette gjennom en økt følelse selvstendighet, trygghet, sikkerhet og trivsel. Videre blir det foreslått et mulig helsefremmende salutogent rammeverk, og gitt et eksempel på hvordan salutogenese kan brukes i praksis og som kan være med på å bidra i utviklingen av fremtidige helsefremmende smarthus. Artikkel II Studien tar sikte på å undersøke på hvilken måte smarthus og smarthusteknologi bidrar til å forbedre helse og livskvalitet hos eldre mennesker og om denne teknologien bidrar til å øke deres muligheter til å bo lengre i sine hjem. Det undersøkes også om denne teknologien bidrar til økt sikkerhet, uavhengighet og sosial aktivitet blant eldre. Det ble gjennomført seks dybdeintervjuer med eldre beboere i et smarthus som danner det empiriske grunnlaget i studien. Intervjuguiden består av spørsmål som tar for seg livskvalitet (QoL), smarthus og smarthusteknologi, sikkerhet og uavhengighet. For å analysere datamaterialet har en innholdsanalyse og systematisk tekstkondensering vært en inspirasjon. Resultatene viser at det ikke var en enkelt faktor som bidro til å øke deres livskvalitet, men det totale av det Kampen Omsorg+ (KO+) tilbød. Smarthus og smarthusteknologi kan bidra til å øke helse og livskvaliteten og i tillegg bidra til at eldre mennesker kan leve lengre i sine hjem, men det er et behov for videre undersøkelser for å kunne trekke en avsluttende konklusjon.
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3

Rasch, Katharina. "Smart assistants for smart homes." Doctoral thesis, KTH, Programvaruteknik och Datorsystem, SCS, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-129171.

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Анотація:
The smarter homes of tomorrow promise to increase comfort, aid elderly and disabled people, and help inhabitants save energy. Unfortunately, smart homes today are far from this vision – people who already live in such a home struggle with complicated user interfaces, inflexible home configurations, and difficult installation procedures. Under these circumstances, smart homes are not ready for mass adoption. This dissertation addresses these issues by proposing two smart assistants for smart homes. The first assistant is a recommender system that suggests useful services (i.e actions that the home can perform for the user). The recommended services are fitted to the user’s current situation, habits, and preferences. With these recommendations it is possible to build much simpler user interfaces that highlight the most interesting choices currently available. Configuration becomes much more flexible: since the recommender system automatically learns user habits, user routines no longer have to be manually described. Evaluations with two smart home datasets show that the correct service is included in the top five recommendations in 90% of all cases. The second assistant addresses the difficult installation procedures. The unique feature of this assistant is that it removes the need for manually describing device functionalities (such descriptions are needed by the recommender system). Instead, users can simply plug in a new device, begin using it, and let the installation assistant identify what the device is doing. The installation assistant has minimal requirements for manufacturers of smart home devices and was successfully integrated with an existing smart home. Evaluations performed with this smart home show that the assistant can quickly and reliably learn device functionalities.

QC 20130924

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4

Wang, Zhimin. "Smart pricing for smart grid." Thesis, University of Bath, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619224.

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Flat-rate electricity tariffs in Great Britain, which have no price variation throughout a day or a year, have been ongoing for decades to recover the cost of energy production and delivery. However, this type of electricity tariff has little incentives to encourage customers to modify their demands to suit the condition of the power supply system. Hence, it is challenged in the new smart grid environment, where demand side responses have important roles to play to encourage conventional energy efficiency and support the integration of renewable generation. In order to accommodate this new environment, the investigations of smart tariff designs and their applications in demand side response are therefore carried out from three main aspects. In a high carbon system dominated by controllable fossil generation where energy peaks typically coincide with those of networks, smart tariffs are developed by statistically tracking dynamic energy price variation tendencies and categorising real-time prices to form time-of-use patterns that capture the most significant price variations without compromising too much accuracy in total energy revenue from customers. In a low carbon system where energy peaks and network peaks may not be in synchronism at all times, additional complications will be raised when developing smart tariffs and optimal demand side response strategies. A new concept is developed in this thesis to allow shared utilization of energy storage between customers and distributed network operators to respond to conflicting energy price and network conditions. In this work, two operation models of storage share are implemented. One is fixed share between customers and network operators regardless of network conditions, and the other is dynamic share that storage capacity utilized by network operator changes with network condition. The consequential system benefit in terms of energy cost reduction and network cost saving is evaluated and converted into per unit cost reduction in the energy bill. Addition to technical solution in the form of storage, the benefit from household demand shifting, such as shifting wet appliances, in the presence of smart tariffs is evaluated. The value of household demand shifting is quantified as an equivalent storage capacity for the investigation of complementarity between technical and social interventions.
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5

Smart, Francis Clayton. "Minimum-data analysis of ecosystem service supply with risk averse decision makers." Thesis, Montana State University, 2009. http://etd.lib.montana.edu/etd/2009/smart/SmartF0809.pdf.

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There is a need for models that produce results that are both timely and sufficiently accurate to be useful to policy makers. The minimum-data approach of Antle and Valdivia (2006) responds to this need by supplying a spatially explicit first order approximation that models ecosystem supply by producers. However, producers in developing nations often are observed to deviate from simple expected profit maximization. Risk is one possible explanation for this divergence. This study builds upon the minimum-data approach by allowing for risk averse producer preferences. The study presents a framework for translating relative risk aversion measurements into the parameters needed for the mean-standard deviation utility function. This study utilizes experimental and econometric measurements of risk aversion by other researchers to parameterize the model. Historic weather data are used with crop yield models to simulate temporal variation in crop yields. The model is used to simulate the supply of carbon sequestration in Machakos, Kenya. At low levels of risk, producers behave in a manner consistent with risk neutrality. However as risks and risk aversion levels increase, there is an increasing divergence from the behavior implied by expected profit maximization. The effects of varying the structure of risk preferences were also examined. This study finds that, consistent with the results in a number of other studies, the level of risk aversion is generally a more important factor in simulated behavior than the structure of risk preferences. This study also examines the effects of increasing the spatial variation of returns. As the spatial variation of returns increases, the predicted producer behavior converges on a fifty percent rate of adoption of the carbon sequestering system, regardless of other parameters. Overall, this study finds that - at levels of risk aversion measured in similar populations in developing nations - the inclusion of risk aversion in the model provides an explanation for why the observed behavior of producers appears to diverge from expected profit maximization.
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6

Li, Jianing. "Shared smart energy storage system for smart homes and smart buildings." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6728/.

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Анотація:
In recent years, energy crisis and climate changes have raised a significant attention globally. There’s an increasing awareness of maximising the utilisation of distributed energy resources to ease local network congestion, reduce carbon emissions and even support the grid. This thesis presents a shared energy storage system across multiple apartments to reduce investment and operation costs. Both hardware integration solution and software Cloud connected energy management system are designed and implemented. The solution has been deployed and trialled in residential building block running for two years in a pilot project. The performance of is evaluated through data analytics from the deployed systems. The business model for the above system is proposed and explored. The optimisation is enhanced with various energy services based on fuzzy logic rules to manage controllable loads and incorporate with grid tariffs are designed and evaluated. The feasibility and performance of the proposed energy services is validated through simulation platform with load and generation data profiles extracted from the deployed systems. An aggregated energy management services for apartment buildings is proposed. Business models with incentive scheme are exploited to minimise the operation cost. Its performance is conducted in case studies through various scenarios.
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7

Vadda, Praveen, and Sreerama Murthy Seelam. "Smart Metering for Smart Electricity Consumption." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2476.

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Анотація:
In recent years, the demand for electricity has increased in households with the use of different appliances. This raises a concern to many developed and developing nations with the demand in immediate increase of electricity. There is a need for consumers or people to track their daily power usage in houses. In Sweden, scarcity of energy resources is faced during the day. So, the responsibility of human to save and control these resources is also important. This research work focuses on a Smart Metering data for distributing the electricity smartly and efficiently to the consumers. The main drawback of previously used traditional meters is that they do not provide information to the consumers, which is accomplished with the help of Smart Meter. A Smart Meter helps consumer to know the information of consumption of electricity for appliances in their respective houses. The aim of this research work is to measure and analyze power consumption using Smart Meter data by conducting case study on various households. In addition of saving electricity, Smart Meter data illustrates the behaviour of consumers in using devices. As power consumption is increasing day by day there should be more focus on understanding consumption patterns i.e. measurement and analysis of consumption over time is required. In case of developing nations, the technology of employing smart electricity meters is still unaware to many common people and electricity utilities. So, there is a large necessity for saving energy by installing these meters. Lowering the energy expenditure by understanding the behavior of consumers and its correlation with electricity spot prices motivated to perform this research. The methodology followed to analyze the outcome of this study is exhibited with the help of a case analysis, ARIMA model using XLSTAT tool and a flattening technique. Based on price evaluation results provided in the research, hypothesis is attained to change the behavior of consumers when they have better control on their habits. This research contributes in measuring the Smart Meter power consumption data in various households and interpretation of the data for hourly measurement could cause consumers to switch consumption to off-peak periods. With the results provided in this research, users can change their behavior when they have better control on their habits. As a result, power consumption patterns of Smart electricity distribution are studied and analyzed, thereby leading to an innovative idea for saving the limited resource of electrical energy.
+91 9908265578
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8

Daniels, R. M., and D. A. Sheaffer. "Smart Modularized Advanced Reusable Telemeter (SMART)." International Foundation for Telemetering, 1992. http://hdl.handle.net/10150/608912.

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International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, California
The SMART (Smart Modularized Advanced Reusable Telemeter) is an advanced telemetry system. The SMART system enhances the quality of a weapon system by providing an adaptable built-in telemetry capability for the weapon. Existing weapon telemetry systems are centralized, separate components which require many fault-prone interconnections. This system reduces the number of interconnections and provides higher performance than current systems. The modular system uses a high data-rate serial data link that connects remote measurement modules located throughout the unit-under-test. A smart processor is used to analyze and compress data from the various modules prior to transmission, making more effective use of the telemetry bandwidth. The smart processing unit also adapts the measurement units for changing test conditions on-the-fly. The system will allow more complete testing of the weapon system and solve a broader range of problems. The goal of the SMART project is to utilize the most advanced technology to overcome the current design methodologies that have perpetuated shortcomings in present systems. This project is being conceptualized to encompass a broader range of telemetry applications beyond the present weapon systems at Sandia.
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9

Bartolini, Sara <1980&gt. "Smart Sensors For Interoperable Smart Environment." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/2576/1/Bartolini_Sara_tesi.pdf.

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Smart Environments are currently considered a key factor to connect the physical world with the information world. A Smart Environment can be defined as the combination of a physical environment, an infrastructure for data management (called Smart Space), a collection of embedded systems gathering heterogeneous data from the environment and a connectivity solution to convey these data to the Smart Space. With this vision, any application which takes advantages from the environment could be devised, without the need to directly access to it, since all information are stored in the Smart Space in a interoperable format. Moreover, according to this vision, for each entity populating the physical environment, i.e. users, objects, devices, environments, the following questions can be arise: “Who?”, i.e. which are the entities that should be identified? “Where?” i.e. where are such entities located in physical space? and “What?” i.e. which attributes and properties of the entities should be stored in the Smart Space in machine understandable format, in the sense that its meaning has to be explicitly defined and all the data should be linked together in order to be automatically retrieved by interoperable applications. Starting from this the location detection is a necessary step in the creation of Smart Environments. If the addressed entity is a user and the environment a generic environment, a meaningful way to assign the position, is through a Pedestrian Tracking System. In this work two solution for these type of system are proposed and compared. One of the two solution has been studied and developed in all its aspects during the doctoral period. The work also investigates the problem to create and manage the Smart Environment. The proposed solution is to create, by means of natural interactions, links between objects and between objects and their environment, through the use of specific devices, i.e. Smart Objects
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10

Bartolini, Sara <1980&gt. "Smart Sensors For Interoperable Smart Environment." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/2576/.

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Анотація:
Smart Environments are currently considered a key factor to connect the physical world with the information world. A Smart Environment can be defined as the combination of a physical environment, an infrastructure for data management (called Smart Space), a collection of embedded systems gathering heterogeneous data from the environment and a connectivity solution to convey these data to the Smart Space. With this vision, any application which takes advantages from the environment could be devised, without the need to directly access to it, since all information are stored in the Smart Space in a interoperable format. Moreover, according to this vision, for each entity populating the physical environment, i.e. users, objects, devices, environments, the following questions can be arise: “Who?”, i.e. which are the entities that should be identified? “Where?” i.e. where are such entities located in physical space? and “What?” i.e. which attributes and properties of the entities should be stored in the Smart Space in machine understandable format, in the sense that its meaning has to be explicitly defined and all the data should be linked together in order to be automatically retrieved by interoperable applications. Starting from this the location detection is a necessary step in the creation of Smart Environments. If the addressed entity is a user and the environment a generic environment, a meaningful way to assign the position, is through a Pedestrian Tracking System. In this work two solution for these type of system are proposed and compared. One of the two solution has been studied and developed in all its aspects during the doctoral period. The work also investigates the problem to create and manage the Smart Environment. The proposed solution is to create, by means of natural interactions, links between objects and between objects and their environment, through the use of specific devices, i.e. Smart Objects
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Книги з теми "SMAR1"

1

Smart homes + smart schools = smart kids. Richmond Hill, Ont: Scholastic Canada, 1997.

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2

Sun, Min, and Dianying Feng. Zhi neng cai liao ji shu. Beijing: Guo fang gong ye chu ban she, 2014.

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3

Farhad, Ansari, Maji Arup, Leung Christopher, and American Society of Civil Engineers. Engineering Mechanics Division., eds. Intelligent civil engineering materials and structures: A collection of state-of-the-art papers in the applications of emerging technologies to civil structures and materials. New York: American Society of Civil Engineers, 1997.

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4

Zhi neng cai liao yu jie gou xi tong. Beijing Shi: Beijing da xue chu ban she, 2010.

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5

S, Thompson Brian, ed. Smart materials and structures. London: Chapman & Hall, 1992.

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6

V, Gandhi Mukesh, ed. Smart materials and structures technologies: The impending revolution. Lancaster: Technomic Pub. Co., 1990.

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7

Smart structures and materials. Boston: Artech House, 1996.

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8

Vepa, Ranjan. Dynamics of smart structures. Hoboken, NJ: John Wiley, 2010.

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9

Clinton, Megan. Smart girls, smart choices. Eugene, Or: Harvest House Publishers, 2010.

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10

Barlow, Mike, and Cornelia Lévy-Bencheton. Smart Cities, Smart Future. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119516224.

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Частини книг з теми "SMAR1"

1

Spataru, Catalina, and Mark Barrett. "Smart Consumers, Smart Controls, Smart Grid." In Sustainability in Energy and Buildings, 381–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36645-1_36.

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2

Preto, Sandra, and Cristina Caramelo Gomes. "Three Times Smart – Smart Workplaces, Smart Lighting & Smart Glass." In Advances in Intelligent Systems and Computing, 435–46. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60525-8_45.

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3

Kurth, Matthias. "Smart Metering, Smart Grids, Smart Market Design." In Broadband Networks, Smart Grids and Climate Change, 11–15. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5266-9_2.

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4

Cifaldi, Gianmarco, and Ionut Serban. "Smart Cities-Smart Societies." In Intelligent Human Systems Integration, 700–707. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73888-8_108.

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5

Mehrtens, Matthias. "Smart City, Smart Cleaning." In Digitalisierung und Innovation, 185–96. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-00371-5_10.

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6

Lerner, Jaime. "Smart Car, Smart Bus." In Urban Acupuncture, 50–53. Washington, DC: Island Press/Center for Resource Economics, 2014. http://dx.doi.org/10.5822/978-1-61091-584-7_15.

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7

Patil, Yogesh, Sneha Kumari, and Gahana Gopal. "Smart Initiatives: Smart Cities." In A Handbook of Journalism: Media in the Information Age, 235–46. 1 Oliver's Yard, 55 City Road London EC1Y 1SP: SAGE Publications, Inc., 2018. http://dx.doi.org/10.4135/9789353280277.n23.

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8

Ehinger, Bernd. "Smart Handwerk – smart Region." In Smart Region, 41–46. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-29726-8_4.

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9

Coleman, Beth. "Smart Things, Smart Subjects." In The Routledge Companion to Media Studies and Digital Humanities, 222–29. New York : Routledge, Taylor & Francis Group, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315730479-22.

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10

Coroș, Monica Maria, Delia Popescu, Iuliana Pop, and Georgică Gheorghe. "Smart City, Smart Tourism." In Remodelling Businesses for Sustainable Development, 167–88. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19656-0_12.

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Тези доповідей конференцій з теми "SMAR1"

1

Parulekar, A., and S. Chattopadhayay. "PO-282 SMAR1 transcriptionally repress hTERT and alters the stem cell population in colorectal cancer cells." In Abstracts of the 25th Biennial Congress of the European Association for Cancer Research, Amsterdam, The Netherlands, 30 June – 3 July 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/esmoopen-2018-eacr25.313.

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2

"About the Conference." In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH). IEEE, 2020. http://dx.doi.org/10.1109/smart-tech49988.2020.00005.

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3

"List of staff." In 2015 International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART). IEEE, 2015. http://dx.doi.org/10.1109/smart.2015.7399275.

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4

Anium, Shahid. "DoS Attacks, Triad and Privacy: Software Exposures in Microsoft, Apple and Google." In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH). IEEE, 2020. http://dx.doi.org/10.1109/smart-tech49988.2020.00028.

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5

"[Title page]." In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH). IEEE, 2020. http://dx.doi.org/10.1109/smart-tech49988.2020.00001.

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6

"[Title page]." In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH). IEEE, 2020. http://dx.doi.org/10.1109/smart-tech49988.2020.00002.

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7

"[Copyright notice]." In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH). IEEE, 2020. http://dx.doi.org/10.1109/smart-tech49988.2020.00003.

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8

"Table of Contents." In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH). IEEE, 2020. http://dx.doi.org/10.1109/smart-tech49988.2020.00004.

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9

"Message from the General Chairs." In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH). IEEE, 2020. http://dx.doi.org/10.1109/smart-tech49988.2020.00006.

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10

"Message from the Program Chairs." In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH). IEEE, 2020. http://dx.doi.org/10.1109/smart-tech49988.2020.00007.

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Звіти організацій з теми "SMAR1"

1

DEMIROVA, V., and M. VAZINA. SMART TECHNOLOGY “SMART CITY” (LITERATURE REVIEW). Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2070-7568-2021-10-5-1-54-59.

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The article analyzes the current concept of the development of urban areas “Smart City”, which involves the integration of various information and communication technologies for the management of urban infrastructure. The article analyzes the concept of smart technologies and the prospects of their use for the development of urban infrastructure of the future.
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2

Carrasco, Carlos, Pedro Franca, Joan Enric Ricart, Jordi Salvador, and Albert Tapia. Financing Smart Solutions in Cities: Smart Financing. Servicio de Publicaciones de la Universidad de Navarra, November 2019. http://dx.doi.org/10.15581/018.op-325.

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3

Baldessari, Gianni, Oliver Bender, Domenico Branca, Luigi Crema, Anna Giorgi, Nina Janša, Janez Janša, Marie-Eve Reinert, and Jelena Vidović. Smart Altitude. Edited by Annemarie Polderman, Andreas Haller, Chiara Pellegrini, Diego Viesi, Xavier Tabin, Chiara Cervigni, Stefano Sala, et al. Verlag der Österreichischen Akademie der Wissenschaften, March 2021. http://dx.doi.org/10.1553/smart-altitude.

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This final report summarizes the outcomes of the Smart Altitude project. The Smart Altitude project ran from June 2018 to April 2021 and was carried out by ten partners from six different countries in the Alpine Space (Austria, France, Italy, Germany, Slovenia, and Switzerland). The project was co-financed by the European Union via Interreg Alpine Space. The aim of the project was to enable and accelerate the implementation of low-carbon policies in winter tourism regions by demonstrating the efficiency of a step-by-step decision support tool for energy transition in four Living Labs. The project targeted policymakers, ski resort operators, investors, tourism, and entrepreneurship organizations. The Smart Altitude approach was designed to ensure suitability across the Alpine Space, thereby fostering its replication and uptake in other winter tourism regions and thus increasing the resilience of mountain areas.
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4

Truyol, Sabine. Smart Microgrids. Office of Scientific and Technical Information (OSTI), September 2022. http://dx.doi.org/10.2172/1886774.

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5

Nirm V. Nirmalan. SMART POWER TURBINE. Office of Scientific and Technical Information (OSTI), November 2003. http://dx.doi.org/10.2172/833266.

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6

Petry, Frederick, Ted Tsui, John Cook, Lucy Smedstad, and James Dykes. Smart Climatology System. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada530518.

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7

Haykin, Martha E., and Robert B. J. Warnar. Smart card technology. Gaithersburg, MD: National Bureau of Standards, 1988. http://dx.doi.org/10.6028/nist.sp.500-157.

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8

Kachru, Ravinder. Smart Optical Memory. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada330667.

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9

Koberstein, Jeffrey T. Smart Polymer Surfaces. Fort Belvoir, VA: Defense Technical Information Center, February 2009. http://dx.doi.org/10.21236/ada509097.

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10

Fernández-Arias, Eduardo, Ricardo Hausmann, and Ugo Panizza. Smart Development Banks. Inter-American Development Bank, August 2019. http://dx.doi.org/10.18235/0001845.

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