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1

Giesekam, Jannik, Jonathan Norman, Alice Garvey, and Sam Betts-Davies. "Science-Based Targets: On Target?" Sustainability 13, no. 4 (February 4, 2021): 1657. http://dx.doi.org/10.3390/su13041657.

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Companies are increasingly seeking to align their actions with the goals of the Paris Agreement. Over 1000 such companies have committed to the science-based targets initiative which seeks to align corporate carbon reduction targets with global decarbonisation trajectories. These ‘science-based targets’ are developed using a common set of resources and target-setting methodologies, then independently assessed and approved by a technical advisory group. Despite the initiative’s rapid rise to public prominence, it has received little attention to date in the academic literature. This paper discusses development of the initiative based upon a quantitative assessment of progress against each component of the science-based targets set by 81 early adopters, using information gathered from company annual reports, corporate social responsibility websites and Carbon Disclosure Project (CDP) responses. The analysis reveals a mixed picture of progress. Though the majority of targets assessed were on track and, in some cases, had already been achieved, just under half of the companies assessed were falling behind on one or more of their targets. Progress varied significantly by target scope, with more limited progress against targets focused on Scope 3 emissions. Company reporting practices were highly variable and often of poor quality. This paper concludes with a range of recommendations to improve the transparency, consistency and comparability of targets within this key agenda-setting initiative.
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Arnold, Markus C., and Martin Artz. "Target difficulty, target flexibility, and firm performance: Evidence from business units’ targets." Accounting, Organizations and Society 40 (January 2015): 61–77. http://dx.doi.org/10.1016/j.aos.2014.12.002.

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Eckelman, William. "Choosing a target for targeted radionuclide therapy using biomarkers to personalize treatment." Journal of Diagnostic Imaging in Therapy 1, no. 1 (November 10, 2014): 103–9. http://dx.doi.org/10.17229/jdit.2014-1110-007.

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4

Secmen, Mustafa, and Gonul Turhan-Sayan. "An Electromagnetic Target Classification Method for the Target Sets with Alien Target: Application to Small-scale Aircraft Targets." PIERS Online 6, no. 5 (2010): 425–29. http://dx.doi.org/10.2529/piers091220053655.

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Jiang Rongqi, 蒋镕圻, 叶泽聪 Ye Zecong, 彭月平 Peng Yueping, 谢郭蓉 Xie Guorong, and 杜衡 Du Heng. "针对弱小无人机目标的轻量级目标检测算法." Laser & Optoelectronics Progress 59, no. 8 (2022): 0810006. http://dx.doi.org/10.3788/lop202259.0810006.

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6

Szymkowski, David E. "Too many targets, not enough target validation." Drug Discovery Today 6, no. 8 (April 2001): 397. http://dx.doi.org/10.1016/s1359-6446(01)01769-x.

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7

Roa, D. E., L. Wright, J. D. Fox, J. P. Greene, B. B. Back, and B. G. Nardi. "Targets and target wheel mechanism for APEX." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 368, no. 2 (January 1996): 307–13. http://dx.doi.org/10.1016/0168-9002(95)00615-x.

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8

Sevinç, E., and M. Karakaya. "Maximizing UAV Target Coverage under Flight Range and Target Service Time Constraints." Lecture Notes on Software Engineering 3, no. 4 (2015): 290–94. http://dx.doi.org/10.7763/lnse.2015.v3.206.

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9

Hazari, Mohammed Abdul Hannan. "Target with-in target." Annals of Medical Physiology 2, no. 1 (March 26, 2018): 1–2. http://dx.doi.org/10.23921/amp.2018v2i1.275951.

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10

Römhild, R., and W. Gaudelli. "Target Country, Target Culture." Anglistik 33, no. 3 (2022): 15–32. http://dx.doi.org/10.33675/angl/2022/3/5.

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11

Garyacha, O. L., V. V. Bilousova, and S. O. Chaplykin. "New mobile marketing strategy in the context of target markets and target audience." Vìsnik Berdânsʹkogo unìversitetu menedžmentu ì bìznesu 45, no. 1 (2019): 23–27. http://dx.doi.org/10.33783/1977-4167-2019-45-1-23-27.

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12

Pennanen, Ari, Glenn Ballard, and Yrjänä Haahtela. "Target costing and designing to targets in construction." Journal of Financial Management of Property and Construction 16, no. 1 (April 19, 2011): 52–63. http://dx.doi.org/10.1108/13664381111116089.

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13

Johnson, William F., and Ha-Chin Yi. "Do target date mutual funds meet their targets?" Journal of Asset Management 18, no. 7 (July 10, 2017): 566–79. http://dx.doi.org/10.1057/s41260-017-0054-7.

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14

Nuti, Sabina, Milena Vainieri, and Federico Vola. "Priorities and targets: supporting target-setting in healthcare." Public Money & Management 37, no. 4 (March 31, 2017): 277–84. http://dx.doi.org/10.1080/09540962.2017.1295728.

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15

Russell, Sophie, Stuart Vernon, Amy Carson, Danielle Harris, and Helen Wheeler. "P127 HIV testing: are the targets off target?" Sexually Transmitted Infections 92, Suppl 1 (June 2016): A64.1—A64. http://dx.doi.org/10.1136/sextrans-2016-052718.181.

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16

Tovey, Michael. "Guide to novel therapeutic targets just misses target." Trends in Immunology 22, no. 1 (January 2001): 59–60. http://dx.doi.org/10.1016/s1471-4906(00)01805-6.

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17

Ilag, Leodevico L. "Too many targets, not enough target validation – Reply." Drug Discovery Today 6, no. 13 (July 2001): 665–66. http://dx.doi.org/10.1016/s1359-6446(01)01866-9.

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18

Ehrman, Lisa M., and W. Dale Blair. "Using Target RCS when Tracking Multiple Rayleigh Targets." IEEE Transactions on Aerospace and Electronic Systems 46, no. 2 (April 2010): 701–16. http://dx.doi.org/10.1109/taes.2010.5461650.

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19

Ehrmann, Michael. "Point targets, tolerance bands or target ranges? Inflation target types and the anchoring of inflation expectations." Journal of International Economics 132 (September 2021): 103514. http://dx.doi.org/10.1016/j.jinteco.2021.103514.

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20

Khusen, Maulana. "IMPLEMENTASI MANAJEMEN PEMBELAJARAN TAHFIDZUL QUR’AN DI MI ISTIQOMAH SAMBAS PURBALINGGA." Jurnal Penelitian Agama 19, no. 2 (October 6, 2018): 104–20. http://dx.doi.org/10.24090/jpa.v19i2.2018.pp104-120.

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Abstract: The results of the study show that: (1) Tahfidzul Qur'an learning planning is done through the preparation of memorization targets and the determination of effective weeks and days in each semester; (2) Organizing is carried out through the division of tasks and responsibilities as well as the construction of the structure of the tutoring teacher; (3) The mobilization is carried out through the coordination meeting of the Tahfidz coordinator as a shering forum for decision making and direction of the Tahfidzul Qur'an learning program and the implementation of learning is carried out every Monday-Friday; and (4) Supervision is carried out through assessing teacher performance at the end of December and June. The highest achievement target for the second year of the implementation of the Tahfidzul Qur'an's 2017/2018 year program is juz 29 and 30, the lowest target for class 1 is juz 30 to Surat al Ghosyiyyah. For class 1, 85% of the target is achieved and 11% of students exceed the target. Class 2 targets reached 19%. Class 3, 10.86% reached the target and 0.35% of students exceeded the target. Class 4 tarjet reached 12.44%. Class 5 targets reached 4.24%, and the last grade 6 target reached 13.79% and 1.5% of students exceeded the target. Keywords: Learning Management, Tahfidzul Qur'an.
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21

Welsh, Timothy N., and Jay Pratt. "Inhibition of return in cue–target and target–target tasks." Experimental Brain Research 174, no. 1 (April 8, 2006): 167–75. http://dx.doi.org/10.1007/s00221-006-0433-7.

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22

NAGAKUBO, Masao, Toyoaki HIRATA, Hironobu MUROI, and Masahiko NAOE. "ATTEMPT OF TARGET SLANTING ON FACING TARGETS SPUTTERING SYSTEM." Journal of the Magnetics Society of Japan 15, S_2_PMRC_91 (1991): S2_939–944. http://dx.doi.org/10.3379/jmsjmag.15.s2_939.

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23

Roger, Scott, and Mark R. Stone. "On Target? the International Experience with Achieving Inflation Targets." IMF Working Papers 05, no. 163 (2005): 1. http://dx.doi.org/10.5089/9781451861822.001.

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24

Cornelius, Wayne D., and Yoshiharu Mori. "Enhancement of target density in optically pumped vapor targets." Physical Review A 31, no. 6 (June 1, 1985): 3718–23. http://dx.doi.org/10.1103/physreva.31.3718.

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25

Yoong, K. K. Y. "Target centred medicine: Targets can seriously damage your health..." BMJ 327, no. 7416 (September 20, 2003): 680. http://dx.doi.org/10.1136/bmj.327.7416.680.

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26

Aitsebaomo, Philip A., and Harold E. Bedell. "EFFECT OF TARGET DURATION ON SACCADES TO DOUBLE TARGETS." Optometry and Vision Science 71, Supplement (December 1994): 148. http://dx.doi.org/10.1097/00006324-199412001-00292.

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27

Thomas, Mark D., and Carrick C. Williams. "The target effect: Visual memory for unnamed search targets." Quarterly Journal of Experimental Psychology 67, no. 11 (November 2014): 2090–104. http://dx.doi.org/10.1080/17470218.2014.905611.

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28

Shi, Chunming Victor, Xuan Zhao, and Yu Xia. "The setting of profit targets for target oriented divisions." European Journal of Operational Research 206, no. 1 (October 2010): 86–92. http://dx.doi.org/10.1016/j.ejor.2010.01.047.

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29

Lee, Chang-Hun, Tae-Hun Kim, and Min-Jea Tahk. "Biased PNG for target observability enhancement against nonmaneuvering targets." IEEE Transactions on Aerospace and Electronic Systems 51, no. 1 (January 2015): 2–17. http://dx.doi.org/10.1109/taes.2014.120103.

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30

Henty, Neil. "This week's target is a new set of targets." Early Years Educator 9, no. 8 (November 2007): 5. http://dx.doi.org/10.12968/eyed.2007.9.8.28518.

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31

Kennedy, R. R. "Individualising Target-Controlled Anaesthesia. Better Models or Better Targets?" Anaesthesia and Intensive Care 38, no. 3 (May 2010): 421–23. http://dx.doi.org/10.1177/0310057x1003800302.

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32

Yao, Yue, Jianling Jiao, Xiaofei Han, and Cuicui Wang. "Can constraint targets facilitate industrial green production performance in China? Energy-saving target vs emission-reduction target." Journal of Cleaner Production 209 (February 2019): 862–75. http://dx.doi.org/10.1016/j.jclepro.2018.10.274.

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33

Storr, Graham H. "Target!" Mathematical Gazette 86, no. 505 (March 2002): 157. http://dx.doi.org/10.2307/3621608.

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34

Rosa, Debora Virginio, Marcirio Silveira Chaves, Mirian Oliveira, and Cristiane Pedron. "Target." International Journal of Managing Projects in Business 9, no. 3 (June 6, 2016): 654–81. http://dx.doi.org/10.1108/ijmpb-12-2015-0120.

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Purpose – The purpose of this paper is to develop and validate a model of adoption of social media to assist project managers in the treatment of lessons learned (LL). Target, a collaborative model to foster learning in projects, approaches the problem of LL management from nearly a new light and perspective. Design/methodology/approach – This research was conducted using a mixed methods approach with a research design denominated partially mixed concurrent equal status. In this design, both quantitative and qualitative elements were conducted concurrently in their entirety before being mixed at the data interpretation stage. These elements have approximately equal emphasis with respect to reaching the objectives of the research. Findings – The results indicate the most suitable social media that match each LL process. They show how to manage LL through processes made in any phase of the project life cycle. The LL processes most commonly used in the projects are raising awareness, collect and store. According to the questionnaire respondents, 54.5 percent of organizations make use of social media in project management, and among the interviewees, half of them use such tools in projects. In addition, 84.1 percent of the questionnaire respondents believe that social media can assist in the LL management. Research limitations/implications – This study did not get proven successful experience reports in the management of LL. Respondents and interviewees mentioned and recognized such importance, but in projects that use LL management there are no control reports of this learning in organizations in order to measure the gains from the practice of LL management, which indicates an area for future work. An empirical validation of the model proposed in this paper is one immediate research to be done. Another future work is to validate the model in projects from disparate sectors. Practical implications – The Target model could minimize the problem of knowledge drain, which is ineffective learning practices, resulting in knowledge hoarding, limited sharing and superficial LL practices. Thus, the use of processes supported by collaborative tools that promote discussion, with a familiar format for the user and with an efficient search engine, can generate greater involvement in projects. The usefulness is determined as practical and scientific. It is determined as practical use, because the model allows the selection of tools for each LL process and it can be applied to projects in organizations. Originality/value – This research proposes a new approach to the management of LL supported by social media. The Target model adds a theoretical contribution to LL processes associating them to social media. This research revisited the extant LL processes and methods in the literature, proposing a new process – raising awareness – that covers personal and interpersonal aspects for the management of LL. The theoretical contribution lies on incremental originality, since it is based on existing theories, processes, methods and tools in order to provide a solution to a known problem.
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35

Petts, Roger. "Target." Industry and Higher Education 1, no. 2 (December 1987): 139–41. http://dx.doi.org/10.1177/095042228700100211.

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Skills shortage has been a growing problem in Britain and the European Community for some considerable time. As evidence of this, research in the Thames Valley region of Britain (the counties of Berkshire, Buckinghamshire and Oxfordshire — ‘Silicon Valley’) has shown that in certain cases up to 80 per cent of firms in this area experience difficulty in recruiting skilled staff. The staff shortages range across the skills spectrum and, particularly in small and medium-sized firms, are a major inhibiting factor in companies’ ability to release their workforce for any period of training and retraining.
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36

Roon, Hannah. "Target." Pigment & Resin Technology 17, no. 8 (August 1988): 14. http://dx.doi.org/10.1108/eb042520.

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37

Kraman, Cynthia. "Target." Anthropology Now 6, no. 2 (September 2014): 119. http://dx.doi.org/10.1080/19492901.2014.11728443.

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38

Mok, Tony S. "A Target or a Demi-Target." Clinical Lung Cancer 11, no. 3 (May 2010): 147–48. http://dx.doi.org/10.3816/clc.2010.n.018.

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39

Smith, Caitlin. "Drug target validation: Hitting the target." Nature 422, no. 6929 (March 2003): 342–45. http://dx.doi.org/10.1038/422341a.

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40

Bannon, Desmond I., and Marc A. Williams. "Matching target dose to target organ." F1000Research 5 (November 29, 2016): 2785. http://dx.doi.org/10.12688/f1000research.10055.1.

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In vitro assays have become a mainstay of modern approaches to toxicology with the promise of replacing or reducing the number of in vivo tests required to establish benchmark doses, as well as increasing mechanistic understanding. However, matching target dose to target organ is an often overlooked aspect of in vitro assays, and the calibration of in vitro exposure against in vivo benchmark doses is often ignored, inadvertently or otherwise. An example of this was recently published in Environmental Health Perspectives by Wagner et al., where neural stems cells were used to model the molecular toxicity of lead. On closer examination of the in vitro work, the doses used in media reflected in vivo lead doses that would be at the highest end of lead toxicity, perhaps even lethal. Here we discuss the doses used and suggest more realistic doses for future work with stem cells or other neuronal cell lines.
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41

Bannon, Desmond I., and Marc A. Williams. "Matching target dose to target organ." F1000Research 5 (March 30, 2017): 2785. http://dx.doi.org/10.12688/f1000research.10055.2.

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In vitro assays have become a mainstay of modern approaches to toxicology with the promise of replacing or reducing the number of in vivo tests required to establish benchmark doses, as well as increasing mechanistic understanding. However, matching target dose to target organ is an often overlooked aspect of in vitro assays, and the calibration of in vitro exposure against in vivo benchmark doses is often ignored, inadvertently or otherwise. An example of this was recently published in Environmental Health Perspectives by Wagner et al (2016), where neural stems cells were used to model the molecular toxicity of lead. On closer examination of the in vitro work, the doses used in media reflected in vivo lead doses that would be at the highest end of lead toxicity, perhaps even lethal. Here we discuss the doses used and suggest more realistic doses for future work with stem cells or other neuronal cell lines.
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42

Brisset, Annie, and Lynda Davey. "In Search of a Target Language." Target. International Journal of Translation Studies 1, no. 1 (January 1, 1989): 9–27. http://dx.doi.org/10.1075/target.1.1.03bri.

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Abstract In nationalist Quebec, French is rejected as the bearer of a foreign culture in the same way that the Québécois' native land, despoiled by the English, has become the country of the Other. Theatre, more than anything else, lent itself to the task of differentiation allotted to language. As of 1968 the vernacular has become the language of the stage as well as of theatre translation such as the exchange value of both foreign works and French translations from France increasingly erodes. Translating "into Québécois" consists in marking out the difference which opposes French in Quebec and so-called French from France. Since, however, the special quality of Québécois French is truly noticeable only among the working classes, Québécois theatre translations are almost always marked by proletarization of language and lowering the social status of the protagonists, thereby increasing the translation possibilities first and foremost of American sociolects.
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43

Haedinger, U., J. Wulf, U. Oppitz, B. Olshausen, W. Thiele, and M. Flentje. "Stereotactic treatment of extracranial targets: Evaluation of planning target volume (PTV) to compensate for target mobility due to target motion and inaccuracy of patient positioning." International Journal of Radiation Oncology*Biology*Physics 48, no. 3 (January 2000): 346–47. http://dx.doi.org/10.1016/s0360-3016(00)80498-8.

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44

Wagener, Annika, and Joachim Hoffmann. "Temporal Cueing of Target-Identity and Target-Location." Experimental Psychology 57, no. 6 (January 1, 2010): 436–45. http://dx.doi.org/10.1027/1618-3169/a000054.

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In four experiments either a short or a long foreperiod preceded the presentation of one of two targets, presented either in the center of the screen (Experiment 1) or at one of two locations (Experiments 2–4). Participants were to identify the presented target by pressing a left or a right button as quickly as possible. In Experiment 1, each of the two targets and in Experiment 2, each of the two locations appeared frequently after one and infrequently after the other foreperiod. Experiments 3 and 4 explored the combined effects of disparate frequency distributions of targets and locations to the two foreperiods. Reaction times and error rates revealed faster processing and/or less errors for respectively those targets and locations which were frequent after the current foreperiod. The data suggest that besides location-specific target expectancies ( Hoffmann & Kunde, 1999 ) also time-specific expectancies for those targets and target-locations are formed which are likely at the respective point in time.
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45

Mielcarek, Jarosław. "TARGET COSTING VS. INVESTMENT VARIANT CHOICE." Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, no. 472 (2017): 236–51. http://dx.doi.org/10.15611/pn.2017.472.23.

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46

Mielcarek, Jarosław. "TARGET COSTING VS. TECHNOLOGICAL WASTE (MUDA)." PRACE NAUKOWE UNIWERSYTETU EKONOMICZNEGO WE WROCŁAWIU, no. 514 (2018): 272–87. http://dx.doi.org/10.15611/pn.2018.514.26.

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47

Kim, Intaek, Malik Muhammad Khan, Tayyab Wahab Awan, and Youngsung Soh. "Multi-Target Tracking Using Color Information." International Journal of Computer and Communication Engineering 3, no. 1 (2014): 11–15. http://dx.doi.org/10.7763/ijcce.2014.v3.283.

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48

Cirelli, Simone, Sebastiano Vitali, Sergio Ortobelli Lozza, and Vittorio Moriggia. "A conservative discontinuous target volatility strategy." Investment Management and Financial Innovations 14, no. 2 (July 12, 2017): 176–90. http://dx.doi.org/10.21511/imfi.14(2-1).2017.03.

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The asset management sector is constantly looking for a reliable investment strategy, which is able to keep its promises. One of the most used approaches is the target volatility strategy that combines a risky asset with a risk-free trying to maintain the portfolio volatility constant over time. Several analyses highlight that such target is fulfilled on average, but in periods of crisis, the portfolio still suffers market’s turmoils. In this paper, the authors introduce an innovative target volatility strategy: the discontinuous target volatility. Such approach turns out to be more conservative in high volatility periods. Moreover, the authors compare the adoption of the VIX Index as a risk measure instead of the classical standard deviation and show whether the former is better than the latter. In the last section, the authors also extend the analysis to remove the risk-free assumption and to include the correlation structure between two risky assets. Empirical results on a wide time span show the capability of the new proposed strategy to enhance the portfolio performance in terms of standard measures and according to stochastic dominance theory.
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49

Liu, Li Shuang. "High Overload Penetration Test and Analysis of the Multi-Layer Steel Target." Advanced Materials Research 295-297 (July 2011): 1178–82. http://dx.doi.org/10.4028/www.scientific.net/amr.295-297.1178.

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High-g accelerometer and storage test system is designed for the measurement of multi-layer steel targets penetration. The penetration test of the double layer steel target is performed, and the verload acceleration is obtained when the projectile penetrates the steel target. According to the overload data, the effective overload accelerations are concluded. The effective overload accelerations gained when projectile penetrates the double steel targes are 81078g and 152061g respectively. Also from the calculation, it can be concluded that the test errors are all less than 10%, which can meet the requirement of penetrating multi-layer steel targets.
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50

Song, Taek Lyul, Darko Musicki, and Kim Da Sol. "Target Tracking With Target State Dependent Detection." IEEE Transactions on Signal Processing 59, no. 3 (March 2011): 1063–74. http://dx.doi.org/10.1109/tsp.2010.2098401.

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