Готові списки джерел за темами / Target products

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Добірка наукової літератури з теми "Target products"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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Статті в журналах з теми "Target products"

Zhou, Yiqing, and Youli Xiao. "Target Identification of Bioactive Natural Products." Acta Chimica Sinica 76, no. 3 (2018): 177. http://dx.doi.org/10.6023/a17110484.

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Hergeth, H. "Launching Products Towards the Right Target." Journal of The Textile Institute 95, no. 1-6 (January 2004): 251–59. http://dx.doi.org/10.1533/joti.2003.0026.

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Albeverio, Sergio, Victoria Steblovskaya, and Kai Wallbaum. "The volatility target effect in investment-linked products with embedded American-type derivatives." Investment Management and Financial Innovations 16, no. 3 (July 29, 2019): 18–28. http://dx.doi.org/10.21511/imfi.16(3).2019.03.

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Volatility Target (VolTarget) strategies as underlying assets for options embedded in investment-linked products have been widely used by practitioners in recent years. Available research mainly focuses on European-type options linked to VolTarget strategies. In this paper, VolTarget-linked options of American type are investigated. Within the Heston stochastic volatility model, a numerical study of American put options, as well as American lookback options linked to VolTarget strategies, is performed. These are compared with traditional American-type derivatives linked to an equity index. The authors demonstrate that using a Volatility Target strategy as a basis for an embedded American-type derivative may make any protection fees significantly less dependent of changing market volatilities. Replacing an equity index with the VolTarget strategy may also result in reducing guarantee fees of the corresponding protection features in a highly volatile market environment.

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Mayr, Fabian, Gabriele Möller, Ulrike Garscha, Jana Fischer, Patricia Rodríguez Castaño, Silvia G. Inderbinen, Veronika Temml, et al. "Finding New Molecular Targets of Familiar Natural Products Using In Silico Target Prediction." International Journal of Molecular Sciences 21, no. 19 (September 26, 2020): 7102. http://dx.doi.org/10.3390/ijms21197102.

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Natural products comprise a rich reservoir for innovative drug leads and are a constant source of bioactive compounds. To find pharmacological targets for new or already known natural products using modern computer-aided methods is a current endeavor in drug discovery. Nature’s treasures, however, could be used more effectively. Yet, reliable pipelines for the large-scale target prediction of natural products are still rare. We developed an in silico workflow consisting of four independent, stand-alone target prediction tools and evaluated its performance on dihydrochalcones (DHCs)—a well-known class of natural products. Thereby, we revealed four previously unreported protein targets for DHCs, namely 5-lipoxygenase, cyclooxygenase-1, 17β-hydroxysteroid dehydrogenase 3, and aldo-keto reductase 1C3. Moreover, we provide a thorough strategy on how to perform computational target predictions and guidance on using the respective tools.

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Yue, R., L. Shan, X. Yang, and W. Zhang. "Approaches to Target Profiling of Natural Products." Current Medicinal Chemistry 19, no. 22 (June 1, 2012): 3841–55. http://dx.doi.org/10.2174/092986712801661068.

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Miller, John H., Jessica J. Field, Arun Kanakkanthara, Jeremy G. Owen, A. Jonathan Singh, and Peter T. Northcote. "Marine Invertebrate Natural Products that Target Microtubules." Journal of Natural Products 81, no. 3 (February 12, 2018): 691–702. http://dx.doi.org/10.1021/acs.jnatprod.7b00964.

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Page, Julia E., and Suzanne Walker. "Natural products that target the cell envelope." Current Opinion in Microbiology 61 (June 2021): 16–24. http://dx.doi.org/10.1016/j.mib.2021.02.001.

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Hwang, Seongbeom, and Yuna Lee. "Identifying customer priority for new products in target marketing: Using RFM model and TextRank." Innovative Marketing 17, no. 2 (June 11, 2021): 125–36. http://dx.doi.org/10.21511/im.17(2).2021.12.

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Target marketing is a key strategy used to increase the revenue. Among many methods that identify prospective customers, the recency, frequency, monetary value (RFM) model is considered the most accurate. However, no RFM study has focused on prospects for new product launches. This study addresses this gap by using website access data to identify prospects for new products, thereby extending RFM models to include website-specific weights. An RF model, built using frequency and recency information from website access data of customers, and an RwF model, built by adding website weights to frequency of access, were developed. A TextRank algorithm was used to analyze weights for each website based on the access frequency, thus defining the weights in the RwF model. South Korean mobile users’ website access data between May 1 and July 31, 2020 were used to validate the models. Through a significant lift curve, the results indicate that the models are highly effective in prioritizing customers for target marketing of new products. In particular, the RwF model, reflecting website-specific weights, showed a customer response rate of more than 30% among the top 10% customers. The findings extend the RFM literature beyond purchase history and enable practitioners to find target customers without a purchase history.

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Berridge, Marc S., and Bonnie J. Landmeier. "In-target production of [13N]ammonia: Target design, products, and operating parameters." Applied Radiation and Isotopes 44, no. 12 (December 1993): 1433–41. http://dx.doi.org/10.1016/0969-8043(93)90096-s.

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Wu, Xunxun, Xiaokun Li, Chunxue Yang, and Yong Diao. "Target Characterization of Kaempferol against Myocardial Infarction Using Novel In Silico Docking and DARTS Prediction Strategy." International Journal of Molecular Sciences 22, no. 23 (November 29, 2021): 12908. http://dx.doi.org/10.3390/ijms222312908.

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Target identification is a crucial process for advancing natural products and drug leads development, which is often the most challenging and time-consuming step. However, the putative biological targets of natural products obtained from traditional prediction studies are also informatively redundant. Thus, how to precisely identify the target of natural products is still one of the major challenges. Given the shortcomings of current target identification methodologies, herein, a novel in silico docking and DARTS prediction strategy was proposed. Concretely, the possible molecular weight was detected by DARTS method through examining the protected band in SDS-PAGE. Then, the potential targets were obtained from screening and identification through the PharmMapper Server and TargetHunter method. In addition, the candidate target Src was further validated by surface plasmon resonance assay, and the anti-apoptosis effects of kaempferol against myocardial infarction were further confirmed by in vitro and in vivo assays. Collectively, these results demonstrated that the integrated strategy could efficiently characterize the targets, which may shed a new light on target identification of natural products.

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Дисертації з теми "Target products"

Carlsson-Wall, Martin. "Targeting target costing : cost management and inter-organizational product development of multi-technology products." Doctoral thesis, Handelshögskolan i Stockholm, Institutionen för Redovisning och finansiering, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-1284.

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Improving product development is a complex task for many companies. One challenge is to avoid over-engineering and only include the functionality that customers are willing to pay for. Another challenge is to reduce costs in close co-operation with suppliers. This is a complex task because suppliers often have their own goals and are rarely located at the same physical place. Handling these two challenges is the domain of target costing. Emerging first from Japanese companies such as Toyota, Nissan and Olympus, target costing has become a critical element in achieving long-term profitability. Previous research on target costing has been paradoxical because even though it deals with product development, it has not incorporated the complexity of the product development process. More specifically, current models of target costing assume that the product development process can largely be planned and controlled by a single company. For complex multi-technology products, such as airplanes and industrial robots, this is far from true. By drawing on product development theories, and conducting an in-depth case study at ABB Robotics, this thesis explores target costing in the development of complex multi-technology products. The result is a framework that identifies challenges and problems in target costing processes, but also shows that target costing relies on both planning and improvisation to cope with tensions and contradictions in close customer and supplier relationships.
Diss. Stockholm : Handelshögskolan i Stockholm, 2011

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Mohammed, Asjad Kaleem. "Anticancer natural products that target hypoxia-inducible factor-1 /." Full text available from ProQuest UM Digital Dissertations, 2005. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1260789291&SrchMode=1&sid=4&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1185218250&clientId=22256.

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Fraser, Andrew Logan. "Target elucidation of novel trypanosomatid inhibitors." Thesis, University of St Andrews, 2018. http://hdl.handle.net/10023/15666.

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In 2010 the Florence group completed the total synthesis of the natural product chamuvarinin which, in collaboration with the Smith group, was found to be a potent inhibitor of the pathogenic parasite T. brucei. Several simplified analogues were found to maintain this inhibitory activity alongside activity against the related species T. cruzi and L. major. The mechanism of action and structural features of these compounds responsible for the observed biological activity remained elusive despite a large synthetic effort by the Florence group. With the aim of identifying protein targets in trypanosomatids to understand the mechanism of action, several photo-affinity labeling analogs have been successfully synthesised and utilised to identify a primary protein target. This protein target was fully validated and molecule docking to this protein was evaluated in-silico. This computational data was used to evaluate the mode of action and aided in the design of simplified compounds which were found to maintain the previously observed anti-parasitic activity but with decreased toxicity to mammalian cells alongside decreased synthetic complexity. The total synthesis of the natural product ascr#18 is also described alongside the synthesis of photo-affinity labeling analogs. This natural product is implicated in the modulation of pathogen resistance in plants and has potential application in crop production.

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Yan, Luping. "Bioactive marine natural products : analogue synthesis, SAR, and target identification." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50069.

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3,6,7-trihydroxycoumarin C11 (2.14) was first isolated from the green alga Dasycladus vermicularis in 1983. C11 and 3,7,8-trihydroxycoumarin C21 (2.15), alongside their precursors C12 (2.18) and C22 (2.20), were synthesized for a target-based screen for anti-HCV drugs, where ideal hits eliminate fluorescence signals by inhibiting the proteolytic activity of HCV NS3pro/Pep4A against a synthetic peptide “BS-IQFS”. With C12 and C22 serving as negative controls, C11 and C21 inhibited the NS3pro/Pep4A activity in vitro. The IC₅₀’s of C11 and C21 were 3.07 μM and 2.10 μM, respectively. A bioassay-guided fractionation identified sintokamides A – E (3.11 – 3.15) from extracts of the sponge Dysidea sp. in 2008. In a phenotypic screen, the chlorinated dipeptides showed strong to modest inhibition of luciferase activity caused by AR NTD transactivation in LNCaP cells. Larger quantities of sintokamides A and B were isolated from the sponge for further biological study. After developing a practical synthetic route, a comprehensive SAR of the sintokamides was available from the in vitro activities of 29 synthetic analogues/precursors based on a 1,17-dinorsintokamide skeleton. LPY26 [(4R,10R)-3.233] showed the best biological activity in the synthetic analogues prepared to date and it was selected as a drug lead. Mechanism of action study using synthetic probes LPY30 (4.7) and LPY31 (4.8) revealed that the hexachlorinated 1,17-dinorsintokamides covalently bound to the AR, but not to the same AF1 region in the AR NTD as EPI-001 (3.8). The structure of latonduine A (5.1) isolated from the sponge Stylissa carteri and its total synthesis were published in 2003. Later, latonduine A was shown to be active in a phenotypic screen to find drug leads for the treatment of cystic fibrosis caused by the F508del mutation. Latonduine A could efficiently correct immunofluorescent F508del-CFTR trafficking from the endoplasmic reticulum to the plasma membrane in the engineered cells. Synthetic latonduine A and N-biotinylated latonduine A (5.17) were prepared to support biological studies aimed at identifying its cellular protein target(s). These studies culminated in the finding that latonduine A is an inhibitor of PARP-3 with an EC₅₀ of 400 pM in CFBE41o- cells.
Science, Faculty of
Chemistry, Department of
Graduate

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Oselusi, Samson Olaitan. "Cheminformatic approaches to hit-prioritization and target prediction of potential anti-mrsa natural products." University of Western Cape, 2020. http://hdl.handle.net/11394/8209.

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Magister Pharmaceuticae - MPharm
The growing resistance of Methicillin-Resistant Staphylococcus aureus (MRSA) to currently prescribed drugs has resulted in the failure of prevention and treatment of different infections caused by the superbug. Therefore, to keep pace with the resistance, there is a pressing need for novel antimicrobial agents, especially from non-conventional sources. Several natural products (NPs) have displayed varying in vitro activities against the pathogen but few of these natural compounds have been studied for their prospects to be potential antimicrobial drug candidates. This may be due to the high cost, tedious, and time-consuming process of conducting the important preclinical tests on these compounds. Hence, there is a need for cost-effective strategies for mining the available data on these natural compounds. This would help to get the knowledge that may guide rational prioritization of “likely to succeed” natural compounds to be developed into potential antimicrobial drug candidates.

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Centko, Ryan Matthew. "Isolation, synthesis, and biological target identification of natural products from terrestrial and marine environments." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50064.

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Natural products offer an unparalleled resource for the discovery and development of chemical tools to be used by humans. The terrestrial and marine environments contain unique niches where organisms chemically adapt to produce compounds that have proven useful medicinally and beyond. In the following chapters, several classes of novel natural products from terrestrial fungi and marine sponges will be presented. In some cases, synthetic methodology, biological activity and enzymatic target identification will also be presented. Chapters 2 and 3 highlight ramariolides A–D (2.18–2.21) and dhilirolides A–N (3.9–3.22), two new fungal derived compound classes isolated from terrestrial sources. The structure elucidation of these compounds will be presented alongside their biological activities as antimycobacterial and insecticidal agents, respectively. Chapter 4 contains the structure elucidation of three new members of the xestoquinone family of compounds, xestolactone A (4.19), xestosaprol O (4.20), and xestosaprol P (4.21) along with their potent inhibitory effect on human indolamine 2, 3-dioxygenase (hIDO). A new method for synthetic access to derivatives of these compounds is demonstrated in Chapter 5 along with a brief structure activity relationship (SAR) study. Lastly, Chapter 6 discusses latonduine A (6.9), a sponge-derived alkaloid, which has shown promise as a lead structure for the correction of cystic fibrosis (CF). Probes derived from latonduine A (6.9) have led to identification of poly (ADP-ribose) polymerase (PARP) as the enzymatic target. Methodology for the probes’ construction and SAR studies resulting in simplified synthetic analogues of latonduine will be presented.
Science, Faculty of
Chemistry, Department of
Graduate

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Horton, Kevin G. "The use of portfolio management with target costed process oriented products under conditions of uncertainty." Master's thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-02022010-020227/.

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Baldo, Fatima Magdi Hamza. "Integrating chemical, biological and phylogenetic spaces of African natural products to understand their therapeutic activity." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/289714.

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This research aims to utilise ligand-based target prediction to (i) understand the mechanism of action of African natural products (ANPs), (ii) help identify patterns of phylogenetic use in African traditional medicine and (iii) elucidate the mechanism of action of phenotypically active small molecules and natural products with anti-trypanosomal activity. In Chapter 2 the objective was to utilise ligand-based target prediction to understand the mechanism of action of natural products (NPs) from African medicinal plants used against cancer. The Random Forest classifier used in this work compares the similarity of the input compounds from the natural product dataset with compound-target combinations in the training set. The more similar they are in structure, the more likely they are to modulate the same target. Natural products from plants used against cancer in Africa were predicted to modulate targets and pathways directly associated with the disease, thus understanding their mechanism of action e.g. "flap endonuclease 1" and "Mcl-1". The "Keap1-Nrf2 Pathway" and "apoptosis modulation by HSP70", two pathways previously linked to cancer (which are not currently targeted by marketed drugs, but have been of increasing interest in recent years) were predicted to be modulated by ANPs. In Chapter 3, we aimed to identify phylogenetic patterns in medicinal plant use and the role this plays in predicting medicinal activity. We combined chemical, predicted target and phylogenetic information of the natural products to identify patterns of use for plant families containing plant species used against cancer in African, Malay and Indian (Ayurveda) traditional medicine. Plant families that are close phylogenetically were found to produce similar natural products that act on similar targets regardless of their origin. Additionally, phylogenetic patterns were identified for African traditional plant families with medicinal species used against cancer, malaria and human African trypanosomiasis (HAT). We identified plant families that have more medicinal species than would statistically be expected by chance and rationalised this by linking their activity to their unique phyto-chemistry e.g. the napthyl-isoquinoline alkaloids, uniquely produced by Acistrocladaceae and Dioncophyllaceae, are responsible for anti-malarial and anti-trypanosome activity. In Chapter 4, information from target prediction and experimentally validated targets was combined with orthologue data to predict targets of phenotypically active small molecules and natural products screened against Trypanosoma brucei. The predicted targets were prioritised based on their essentiality for the survival of the T. brucei parasite. We predicted orthologues of targets that are essential for the survival of the trypanosome e.g. glycogen synthase kinase 3 (GSK3) and rhodesain. We also identified the biological processes predicted to be perturbed by the compounds e.g. "glycolysis", "cell cycle", "regulation of symbiosis, encompassing mutualism through parasitism" and "modulation of development of symbiont involved in interaction with host". In conclusion, in silico target prediction can be used to predict protein targets of natural products to understand their molecular mechanism of action. Phylogenetic information and phytochemical information of medicinal plants can be integrated to identify plant families with more medicinal species than would be expected by chance.

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Duan, Yufeng. "Ex-post competitiveness assessment of Alberta agri-food exports in target products and markets, 1988-1996." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0019/MQ47022.pdf.

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Heuett, Nubia Vanesa. "Target and Non-target Techniques for the Quantitation of Drugs of Abuse, Identification of Transformation Products, and Characterization of Contaminants of Emergent Concern by High Resolution Mass Spectrometry." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2194.

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Development and application of target and non-target techniques for routine analysis, identification of transformation products, and characterization of unknown compounds in water matrices using liquid-chromatography high-resolution mass spectrometry (HRMS) were explored in this dissertation. A novel analytical method based on online-SPE-LC-HRMS was developed for the detection of 18 drugs of abuse (DOAs) in raw sewage water from a college campus. Results showed the presence of 14 DOAs for which amphetamine and 11-nor-9-carcoxy-THC (THC metabolite) were the most prevalent and had the highest potential consumption rates. A second study dedicated to the identification of transformation products (TPs) generated from DOAs was conducted using a combination of HR-MS/MS and metabolic identification and structural elucidation software. Findings confirmed the presence of multiple phase I and II DOA TPs (n=35) in raw sewage influents. Concentrations of all TPs were estimated based on the parent DOAs response factors, and used to calculate the percent mole fraction contributions of each TP to the parent concentrations. High abundance and frequency (compared to the parent drug) was determined for 9 of the TPs coming from drugs like oxycodone, morphine, codeine, methadone, LSD, cocaine, and MDEA. Non-target analysis using HRMS was explored as a tool to characterize, and compare a series of interconnected water matrices along a river system. Several thousands of formulae were generated using automated heuristic rules from the full-scan acquisition at 140,000 resolution. Samples were part of a trajectory covering upstream, effluent, effluent mixing zone, downstream, drinking water intake, and treated drinking water locations. Graphical representations of the data were used to evaluate commonalities among the system. Using this approach, a total of 64 recalcitrant components were identified throughout the samples downstream of the effluent release point. Using a combination of MS/MS and computer-aid software techniques 4 out of the 64 compounds were tentatively confirmed. In addition, comparison of drinking water intake and finalized treated drinking water sites showed the presence of 1,152 chemical entities that were common to both locations; and 1,857 that were unique to the treated drinking water. Therefore, this non-target technique could be used to identify the potential formation of treatment byproducts.

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Книги з теми "Target products"

Building brand value the Playboy way. Basingstoke, Hampshire: Palgrave Macmillan, 2009.

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Gunelius, Susan. Building brand value the Playboy way. Basingstoke, Hampshire: Palgrave Macmillan, 2009.

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Experiential marketing: A practical guide to interactive brand experiences. London: Kogan Page, 2008.

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Drewes, Jörg E., and Thomas Letzel, eds. Assessing Transformation Products of Chemicals by Non-Target and Suspect Screening − Strategies and Workflows Volume 1. Washington, DC: American Chemical Society, 2016. http://dx.doi.org/10.1021/bk-2016-1241.

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Drewes, Jörg E., and Thomas Letzel, eds. Assessing Transformation Products of Chemicals by Non-Target and Suspect Screening − Strategies and Workflows Volume 2. Washington, DC: American Chemical Society, 2016. http://dx.doi.org/10.1021/bk-2016-1242.

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Network, Illinois Entrepreneurship. Buy Illinois.net: Helping Illinois businesses market products and services to Illinois businesses for a stronger economy. Springfield, Ill: Illinois Department of Commerce and Economic Opportunity, 2007.

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Sidorenko, Oleg. Biological systems in the processing of secondary products and agricultural waste. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1102076.

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The manual describes technologies for processing secondary products and agricultural waste using macro-and micro-organisms. The regulations of modern biotechnologies of microbial synthesis, bioconversion of secondary raw materials are briefly presented, methods of its processing and characteristics of the obtained target products of bioconversion are described. Practical classes introduce students to modern methods of improving environmental quality and production waste from commercial products (organic fertilizers, bacterial preparations, feed additives, etc.), as well as obtain the cheapest fuel and energy resources (biogas, alcohols, acids, liquid biofuels, etc.). Meets the requirements of Federal state educational standards of higher education of the last generation. It is intended for students of higher educational institutions of technological specialties.

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Carmagnola, Fulvio. Merci di culto: Ipermerce e società mediale. Roma: Castelvecchi, 1999.

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Tungate, Mark. Branded Male. London: Kogan Page Publishers, 2008.

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Carmagnola, Fulvio. Merci di culto: Ipermerce e società mediale. Roma: Castelvecchi, 1999.

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Частини книг з теми "Target products"

Cantuni, Rubens. "Know Your Target Audience." In Designing Digital Products for Kids, 31–40. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6287-0_3.

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Andersen, Raymond J., Dehai Li, Matt Nodwell, Michel Roberge, Wendy Strangman, and David E. Williams. "Marine Natural Products That Target Microtubules." In Handbook of Marine Natural Products, 1027–74. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-90-481-3834-0_20.

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Ponomarev, S. S., S. V. Adamenko, Yu V. Sytenko, and A. S. Adamenko. "Isotope and Element Compositions of Target Explosion Products." In Controlled Nucleosynthesis, 161–262. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5874-5_8.

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Nomura, Daniel K., and Thomas J. Maimone. "Target Identification of Bioactive Covalently Acting Natural Products." In Current Topics in Microbiology and Immunology, 351–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/82_2018_121.

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Cecchi, Teresa. "Food Processing Industries, Food Waste Classification and Handling, Target Compounds." In Biobased Products from Food Sector Waste, 17–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63436-0_2.

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Kensler, Thomas W., Patricia A. Egner, Abena S. Agyeman, Kala Visvanathan, John D. Groopman, Jian-Guo Chen, Tao-Yang Chen, Jed W. Fahey, and Paul Talalay. "Keap1–Nrf2 Signaling: A Target for Cancer Prevention by Sulforaphane." In Natural Products in Cancer Prevention and Therapy, 163–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/128_2012_339.

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Ponomarev, S. S., S. V. Adamenko, Yu V. Sytenko, and A. S. Adamenko. "On the Detection of Superheavy Elements in Target Explosion Products." In Controlled Nucleosynthesis, 265–362. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5874-5_9.

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Hahn, Gesine. "Target Animal Safety for Veterinary Pharmaceutical Products (VICH GL 43)." In Berichte zu Tierarzneimitteln 2009, 58–69. Basel: Birkhäuser Basel, 2009. http://dx.doi.org/10.1007/978-3-0346-0295-2_2.

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Huynh, Van-Nam, Hongbin Yan, Mina Ryoke, and Yoshiteru Nakamori. "Fuzzy Target-Based Multi-feature Evaluation of Traditional Craft Products." In Knowledge Science, Engineering and Management, 331–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25975-3_29.

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Head, Graham. "Soil Fate and Non-Target Impact of Bt Proteins in Microbial Sprays and Transgenic Bt Crops." In Crop Protection Products for Organic Agriculture, 212–21. Washington, DC: American Chemical Society, 2006. http://dx.doi.org/10.1021/bk-2007-0947.ch015.

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Тези доповідей конференцій з теми "Target products"

Lomangino, Paul, and Kyu Sohn. "Methods for Target-Setting and Rule Compliance in Automotive Engineering." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42006.

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Automotive design relies heavily upon the use of targets. In addition to providing direction and context for the development of new products, the target-setting process forms links between the subjective and objective characteristics of a product and, when executed properly, can help ensure compliance with regulations and feasibility guidelines. At the start of the target-setting process, business and marketing activities define a desired competitive position for a proposed product using data gathered in the various methods of market analysis. From this desired position, business and marketing develop high-level targets for attributes like performance, comfort, and cargo capacity based upon the current and predicated future qualities of products that are perceived to be potential competitors in the marketplace. These business targets guide the formulation of engineering targets. Engineers interpret the business targets to determine what combination of engineering attributes would best accomplish them. These attributes form the basis of a starting set of engineering targets that must be evaluated against databases of corporate, industry, and governmental regulations as well as rules that indicate the design viability and manufacturability of the product. This paper discusses the source, development, and use of targets in automotive engineering as well as formalisms and methods to describe and handle the target-setting and verification processes. In addition, this paper discusses proposed information technology-based and knowledge-based techniques to strengthen and streamline this critical aspect of the engineering design process.

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Martí Bigorra, Anna, and Ove Isaksson. "Integration of Customer-Product Interaction Into Quality Function Deployment." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59992.

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Customer satisfaction is used by many companies as a key performance indicator and it is strategically important to be able to define design requirements that contribute to customer satisfaction when setting targets. For highly complex products such as vehicles, target setting is an evolving process based on continually changing internal and external requirements. Quality Function Deployment (QFD) is a method that provides a structured approach for incorporating customer needs into the product development process. However, in addition to product targets, product usage proficiency also contributes to customer satisfaction. Customers often do not read manuals; they learn by trying things out and sometimes the use of the product ends up outside the expected acceptable range of the designers, delivering to the customer low product performance. The intention of this article is therefore to gain a deeper understanding of the customer by analyzing customer-product interaction of customer products and integrating it into QFD to identify the most interesting design requirements to improve customer satisfaction when developing products that are comparable to the ones lunched in the market. The proposed method facilitates designer awareness of target population before re-designing an existing product and it helps designers to set a starting point to improve usage proficency for each customer by providing individualized feedback.

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Hansen, Roy E., Hayden J. Callow, Torstein O. Saebo, Per Espen Hagen, and Bjornar Langli. "High fidelity synthetic aperture sonar products for target analysis." In OCEANS 2008. IEEE, 2008. http://dx.doi.org/10.1109/oceans.2008.5152071.

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Lobach, Evgeniya Yu, Marina G. Kurbanova, Alexander N. Avstrievskikh, and Valeriy M. Poznyakovskiy. "Quality Indicators of Special Products with Target Functional Properties." In International scientific and practical conference "AgroSMART - Smart solutions for agriculture" (AgroSMART 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/agrosmart-18.2018.86.

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Tsoka, Arnold N., Jicmat Ali Tribaldos, and Chiradeep Sen. "Dimensions of Similarity Used to Identify Products As Sources of Analogy." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22596.

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Abstract This paper presents a human-subject experiment exploring the dimensions of product similarity that designers use to detect a product as a source of analogy during designing another. In the study, fifty voluntary participants are presented with a target product that is to be designed, and five other source products that are similar to the design task in various dimensions such as function, structure, or working principle. The designers are then asked to identify the products that they consider to be useful sources of analogy for designing the target, and to write in plain English why they considered so. These comments are analyzed using a protocol to reveal the dimensions of similarity between the target and the source product that inspired them to select the source. The data comprises of 2,440 total dimension instances among the participants. The results show that the identification of products as sources of analogy is driven by at least six dimensions: working principle, structure, human interaction, function, energy flows, and material flows. Among these, working principle, structure, and human interaction are more dominant than function, which was previously believed to be the sole driver of analogy.

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Kalinina, L. A., I. A. Zelenskaya, and S. V. Trufanova. "Algorithm for Determining Target Markets for the Sale of Agricultural Products Produced in the Region." In Proceedings of the First International Volga Region Conference on Economics, Humanities and Sports (FICEHS 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/aebmr.k.200114.030.

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Fujita, Kikuo, Shinsuke Akagi, Tetsu Yoneda, and Makibi Ishikawa. "Simultaneous Optimization of Product Family Sharing System Structure and Configuration." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dfm-5722.

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Abstract This paper discusses the optimization problem of a family of products, where multiple products sharing system structure and configuration are simultaneously designed to be optimal. This kind of problems is a typical subproblem of product variety design. It requires the considerations on how to control the commonality of modules and attributes across products and on how design targets, such as requirements, production unit numbers, etc., affect the optimality. First, we classify design tactics into independent design, similar design and same design, and describe how to use these three methods over product representation that consists of systems, modules and attributes. After discussing typical optimization situation on design methods and influence of design target deviation to product family optimality, we develop the framework for assessing the optimality and sensitivity that includes cost model for design, development, production, use, etc. Then, we demonstrate the simultaneous optimization of multiple products with simple cases in aircraft design and planning.

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Stange, Leif C., Carsten Metz, and Arne F. Jacob. "Reducing Cross-Target Products in Thinned Antenna Arrays using Nonlinear Processing." In 32nd European Microwave Conference, 2002. IEEE, 2002. http://dx.doi.org/10.1109/euma.2002.339471.

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Bauer, R. "Are gut microbiota the real target of many herbal medicinal products?" In GA – 69th Annual Meeting 2021, Virtual conference. Georg Thieme Verlag, 2021. http://dx.doi.org/10.1055/s-0041-1736750.

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Garneau, Christopher, and Matthew Parkinson. "Probability of User Fit for Spatially Optimized Products." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48569.

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This study offers a new method for understanding the likelihood of acceptable fit for users of adjustable products and environments and is a useful tool for aiding the designer in making decisions about problems involving human variability. Accommodation, which describes the ability of a user to interact with a device or environment in a preferred way, is a key product performance metric. Methods that offer a better understanding of accommodation of broad user populations would allow for the design of products that are more cost-effective, safer, and/or lead to greater levels of customer satisfaction. This work uses parametric studies to explore the characteristics of a target user population and the probability of accommodating individuals of a given body size. Performance regions are identified in both the problem’s design space (the product dimensions under consideration) and the anthropometry space of the target population (the relevant body dimensions of product users). The existence of probability contours is a result of outcome uncertainty due to anthropometry-independent user preference, and the analysis is achieved by assessing binary accommodation of individuals using a “virtual fit” method with many iterations. Two case studies, one univariate and one bivariate in both performance and anthropometry spaces, are presented. An important outcome of the decision making framework described in this work is the ability to intuitively gauge who in the population of target users will be disaccommodated by a design and how to improve overall accommodation.

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Звіти організацій з теми "Target products"

Merkulova, Yuliya. Роль системы показателей в технологии оптимизации и баланса множества данных спроса и предложения. Yuliya Merkulova, квітень 2021. http://dx.doi.org/10.12731/er0431.26042021.

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Article is devoted to significant problems of creation of system of the indicators for stimulation of balance of supply and demand of products. It is very important for increase of competitiveness of products. The new methodology of calculation of target function of a product and indicators of its efficiency is offered in article. The special place in article is devoted to methodology of definition of an indicator of aggregate useful effect, which includes useful effect of the producer and consumer and promotes balance of their interests. All offered indicators of efficiency of a product are interconnected with each other and only in united system possess the stimulating mechanism of balance of supply and demand. They promote increase of effectiveness of process of planning and allow to find reserves for increase of competitiveness of products.

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Ganju, Ramesh K. Receptor for Advanced Glycation End Products (RAGE) as a Novel Target for Inhibiting Breast Cancer Bone Metastasis. Fort Belvoir, VA: Defense Technical Information Center, April 2013. http://dx.doi.org/10.21236/ada592353.

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Brock, Theo, Paulien Adriaanse, and Ivo Roessink. Non-target terrestrial arthropods in prospective environmental risk assessment for plant protection products : specific protection goal options. Wageningen: Wageningen Environmental Research, 2022. http://dx.doi.org/10.18174/511522.

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Barrera, Victor, Alexis Villacis, Jeffrey Alwang, and Luis Escudero. Open configuration options New Products, New Markets: Dragon Fruit in Ecuador. Inter-American Development Bank, January 2022. http://dx.doi.org/10.18235/0003964.

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Expanding incomes in Asian countries and changes in fresh-fruit value chains have created an important niche for producers of dragon fruit. Ecuadorean producers have responded and taken advantage of these evolving opportunities and market dynamism. By customizing their products to the specific demands of target markets and complying with the standards imposed by modern buyers, Ecuadorian exporters of dragon fruit demonstrate how challenges related to and opportunities in agri-food markets evolution can be met. This study documents the development of the dragon fruit market in Ecuador, with a special emphasis on the analysis of its value chain. The study additionally identifies and analyzes the main drivers of the success of the production and exports of the fruit and examines the main challenges and needs for improved public policies to promote sustainable growth of the sector. Findings are complemented with interviews conducted with the principal actors in the Ecuadorian dragon fruit industry, as well as a case study that involves several relatively recently formed dragon fruit-producing companies in the Amazon region of the country.

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Arts, Gertie, Jos Boesten, Theo Brock, and Ivo Roessink. Arable weeds and non-target plants in prospective risk assessment for plant protection products : Specific protection goal and exposure assessment goal options. Wageningen: Wageningen Environmental Research, 2017. http://dx.doi.org/10.18174/424504.

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Aparicio, Diego, and Alberto Cavallo. Targeted Price Controls on Supermarket Products. Cambridge, MA: National Bureau of Economic Research, February 2018. http://dx.doi.org/10.3386/w24275.

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Marrano, Lance, Anne Koster, Susan Wolters, Louis Bartels, Imes Chu, Brian Clark, Tapan Patel, Eileen Westervelt, Irene Andsager, and Sean Wallace. Army Installations of the Future Industry Day 2019 : summary report. Engineer Research and Development Center (U.S.), October 2020. http://dx.doi.org/10.21079/11681/38582.

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The Army Installations of the Future Industry Day was held on 23 May 2019 at the Renaissance Capital View hotel in Arlington, VA to identify the availability and maturity of specific commercial off-the-shelf (COTS) “smart installation” capabilities, technologies, and products; and to seek interest from industry in exploring potential approaches, requirements, standards, and/or specifications for pilot demonstrations at Army installations focused on 10 use-case technology areas. The Industry Day event included approximately 336 participants comprised of Academia (5), Industry (226), and Government (105). This report presents “road maps” that outline the Army’s desired outcomes for the target technology areas and potential pilot technology demonstrations.

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Lers, Amnon, and Pamela J. Green. Analysis of Small RNAs Associated with Plant Senescence. United States Department of Agriculture, March 2013. http://dx.doi.org/10.32747/2013.7593393.bard.

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Senescence is an agriculturally significant process due to its negative impact to crop yield and postharvest quality. The genetic regulatory systems controlling senescence induction and progress respond to both developmental and environmental stress signals and involve numerous gene expression changes. Knowledge about the key molecular factors which control senescence is very limited. MicroRNAs (miRNAs) are a class of small RNAs which typically function by guiding cleavage of target messenger RNAs. They have been shown to play major roles in a variety of plant processes including development, responses to environmental stresses, and senescence. The long-term goal of this work is to elucidate roles of small RNAs associated with plant senescence. The hypothesis underlying this research is that miRNA-mediated regulation makes important contributions to the senescence process in plants. Specific, original research objectives included: 1) Profiling of small RNAs from senescing plants; 2) Data Analysis and public access via a user-friendly web interface; 3) Validation of senescence-associated miRNAs and target RNAs; 4) Development of transgenic plants for functional analysis of miRNAs in Arabidopsis. Major revisions made in the research compared to the original work plan included 1) Exclusion of the planned work with tomato as recommended by the BARD review panel; 2) Performing miRNA study also in senescing Arabidopsis siliques, in addition to senescing leaves. To identify senescenceregulation of miRNAs in Arabidopsis thaliana, eight small RNA libraries were constructed and sequenced at four different stages of development and senescence from both leaves and siliques, resulting in more than 200 million genome-matched sequences. Parallel Analysis of RNA Ends (PARE) libraries, which enable the large-scale examination of miRNA-guided cleavage products, were also constructed and sequenced, resulting in over 750 million genome-matched sequences. These massive datasets lead to the identification of new miRNAs, as well as new regulation of known miRNAs and their target genes during senescence, many of which have established roles in nutrient responsiveness and cell structural integrity. In keeping with remobilization of nutrients thought to occur during senescence, many miRNAs and targets had opposite expression pattern changes between leaf and silique tissues during the progression of senescence. Taken together, these findings highlight the integral role that miRNAs may play in the remobilization of resources and alteration of cellular structure that is known to occur in senescence. Experiments were initiated for functional analysis of specific senescence-associated miRNAs and respective target genes. Transgenic Arabidopsis plants were generated in which miR408, found in this study to be significantly induced in leaf senescence, was over-expressed either constitutively or under a senescence-specific promoter. These plants are currently being characterized for any altered phenotypes. In addition T-DNA knock out mutants for various target genes identified in this research are being analyzed. This work provides insights about specific miRNAs that contribute to leaf and silique senescence. The knowledge generated may suggest new strategies to monitor and alter the progression of senescence in crops for agricultural improvement.

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Smith, T., and T. Stover. ESTIMATE OF FISSION PRODUCTS IN THE MARK-18A OH TARGETS. Office of Scientific and Technical Information (OSTI), September 2003. http://dx.doi.org/10.2172/1568773.

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Ullmann, J. L., P. Staples, and G. Butler. Thick target spallation product yields from 800 MeV protons on tungsten. Office of Scientific and Technical Information (OSTI), July 1994. http://dx.doi.org/10.2172/10164048.

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