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Thematische Bibliographien / Order evaluation / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Order evaluation“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Callaghan, Gill. "Evaluation and Negotiated Order." Evaluation 14, no. 4 (2008): 399–411. http://dx.doi.org/10.1177/1356389008095485.

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2

Dunfield, Joshua. "Elaborating evaluation-order polymorphism." ACM SIGPLAN Notices 50, no. 9 (2015): 256–68. http://dx.doi.org/10.1145/2858949.2784744.

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3

OZBASI, Durmus. "Using Rank-order Judgments Scaling to Determine Students’ Evaluation Preferences." Eurasian Journal of Educational Research 19, no. 82 (2019): 1–18. http://dx.doi.org/10.14689/ejer.2019.82.4.

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4

Fraser, Christopher W., and David R. Hanson. "Optimization of argument evaluation order." Information Processing Letters 24, no. 6 (1987): 391–95. http://dx.doi.org/10.1016/0020-0190(87)90116-5.

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5

Talal, S. Almutairi, and S. Shraid Nawaf. "Teacher evaluation by different internal evaluators: Head of departments, teachers themselves, peers and students." International Journal of Evaluation and Research in Education (IJERE) 10, no. 2 (2021): 588–96. https://doi.org/10.11591/ijere.v10i2.20838.

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This study analyzed teacher evaluation in school, through involving different internal evaluators, in order to determine the extent to which they evaluate teacher performance accurately and objectively. Evaluation survey instruments are used in this study, which are designed based the criteria of existing teacher evaluation system in the context, along with other criteria for evaluating teachers. The sample of this study included teachers, heads of departments and students from high schools in four different districts in Kuwait, received responses as 100 from heads of department, 100 from teac

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II, CHARLES G. PETERSEN. "AN EVALUATION OF ORDER PICKING POLICIES FOR MAIL ORDER COMPANIES." Production and Operations Management 9, no. 4 (2009): 319–35. http://dx.doi.org/10.1111/j.1937-5956.2000.tb00461.x.

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7

Bailey, Kenneth, and Peter Tozer. "An Evaluation of Federal Order Reform." Journal of Dairy Science 84, no. 4 (2001): 974–86. http://dx.doi.org/10.3168/jds.s0022-0302(01)74556-0.

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8

Bransen, Jeroen, Atze Dijkstra, and S. Doaitse Swierstra. "Incremental evaluation of higher-order attributes." Science of Computer Programming 137 (April 2017): 98–124. http://dx.doi.org/10.1016/j.scico.2016.06.001.

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9

Andersen, Henning E., and Olav Geil. "Evaluation codes from order domain theory." Finite Fields and Their Applications 14, no. 1 (2008): 92–123. http://dx.doi.org/10.1016/j.ffa.2006.12.004.

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10

Palmer, Zachary, Theodore Park, Scott Smith, and Shiwei Weng. "Higher-order demand-driven symbolic evaluation." Proceedings of the ACM on Programming Languages 4, ICFP (2020): 1–28. http://dx.doi.org/10.1145/3408984.

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11

Peterson, Margaret G. E., and Marcia A. Testa. "Rank order scaling in taste evaluation." Computers and Biomedical Research 19, no. 1 (1986): 56–62. http://dx.doi.org/10.1016/0010-4809(86)90006-6.

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12

Cachin, Christian, and Jovana Milojević. "Quick Order Fairness: Implementation and Evaluation." IEEE International Conference on Blockchain and Cryptocurrency (ICBC) 2024 (January 1, 2024): 230–34. https://doi.org/10.5281/zenodo.15528191.

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Decentralized finance revolutionizes traditional fi- nancial systems by leveraging blockchain technology to re- duce trust. However, some vulnerabilities persist, notably front- running by malicious actors who exploit transaction information to gain financial advantage. Consensus with a fair order aims at preventing such attacks, and in particular, the differential order fairness property addresses this problem and connects fair order- ing to the validity of consensus. The notion is implemented by the Quick Order-Fair Atomic Broadcast (QOF) protocol (Cachin et al., FC '22). This paper revisits

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Davidson, D. B. "An evaluation of mixed-order versus full-order vector finite elements." IEEE Transactions on Antennas and Propagation 51, no. 9 (2003): 2430–41. http://dx.doi.org/10.1109/tap.2003.816350.

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14

Courcelle, Bruno, and Teodor Knapik. "The evaluation of first-order substitution is monadic second-order compatible." Theoretical Computer Science 281, no. 1-2 (2002): 177–206. http://dx.doi.org/10.1016/s0304-3975(02)00012-9.

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15

Kroese, Lani, Courtney Port, and William Hauda. "Improving the evaluation of non-accidental trauma across multiple specialties at a single institution." BMJ Open Quality 14, no. 1 (2025): e002953. https://doi.org/10.1136/bmjoq-2024-002953.

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BackgroundBased on the presenting injury, patients undergoing abuse evaluation may be managed by different specialties. Our local child abuse specialist expressed concern over the variability in evaluation of patients presenting with injuries concerning for non-accidental trauma (NAT). The aim of this quality improvement project was to increase the percentage of patients for whom there is a concern for NAT who receive a guideline-adherent evaluation from 7.7% to 50% in 6 months’ time.MethodsA committee of physician stakeholders developed criteria for a complete NAT evaluation which were integr

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Venslavavičiūtė, Raminta, Kęstutis Urbonas, and Vaidotas Šapalas. "ANALYSIS OF SECOND-ORDER EFFECTS EVALUATION OF STEEL FRAMES BEHAVIOUR." Engineering Structures and Technologies 12, no. 1 (2020): 8–14. http://dx.doi.org/10.3846/est.2020.13400.

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The evaluation of second-order effects of steel framed structures can provide different analysis results than using linear analysis methods. In various structural engineering literature were distinguished different methods of analysis: taking or without taking into account second-order effects. It depends on the sensitivity to the horizontal actions. The slenderer the structure, the more sensitive it is to horizontal actions. Using nonlinear methods, the sensitivity of steel frame to second-order impact is considered. This paper shows the importance of evaluations of the second-order effects i

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Jiang, Yao-Lin, and Jun-Man Yang. "Asymptotic Waveform Evaluation With Higher Order Poles." IEEE Transactions on Circuits and Systems I: Regular Papers 68, no. 4 (2021): 1681–92. http://dx.doi.org/10.1109/tcsi.2021.3052838.

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18

IKEDA, Fujio, Atsushi WATANABE, and Seiichi KAWATA. "Evaluation of Errors in Reduced Order Modeling." Transactions of the Society of Instrument and Control Engineers 35, no. 10 (1999): 1261–67. http://dx.doi.org/10.9746/sicetr1965.35.1261.

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19

Petersen, Charles G. "An evaluation of order picking routeing policies." International Journal of Operations & Production Management 17, no. 11 (1997): 1098–111. http://dx.doi.org/10.1108/01443579710177860.

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20

Kraut, Eyal, Ioulia Pronina, Hope Yen, Sarah Moore, and Robyn L. Houlden. "Evaluation of a Diabetic Ketoacidosis Order Set." Canadian Journal of Diabetes 41, no. 5 (2017): S54. http://dx.doi.org/10.1016/j.jcjd.2017.08.143.

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21

Clark, Alexa, Eyal Kraut, Hope Yen, Sarah Moore, and Robyn Houlden. "Evaluation of a Diabetic Ketoacidosis Order Set." Canadian Journal of Diabetes 42, no. 5 (2018): S6. http://dx.doi.org/10.1016/j.jcjd.2018.08.018.

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22

Sugawara, M. "Evaluation of finite lowest-order self-energies." Il Nuovo Cimento A 103, no. 8 (1990): 1101–11. http://dx.doi.org/10.1007/bf02820537.

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23

Pallai, Bence, Péter Tamás, and Henriett Matyi. "Order picking system evaluation using RTLS method." Advanced Logistic Systems - Theory and Practice 17, no. 1 (2023): 62–70. http://dx.doi.org/10.32971/als.2023.008.

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 In order to maintain competitiveness, it is essential for modern industrial companies to record as much data as possible, by processing which they can obtain valuable information for the development and optimization of production and logistics processes. The RTLS system provides an opportunity to perform this task. RTLS, or Real Time Location System, is a Real-Time Local Positioning System used to identify people and moving objects and to determine and continuously track their current position in a configurable space. Real-time positioning can help us to locate the position of objects a

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Colombini, N., M. Abbes, A. Cherpin, et al. "Comprehensive evaluation of using computerised provider order-entry system for hospital discharge orders." International Journal of Medical Informatics 160 (April 2022): 104703. http://dx.doi.org/10.1016/j.ijmedinf.2022.104703.

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25

Chan, J., K. G. Shojania, A. C. Easty, and E. E. Etchells. "Usability evaluation of order sets in a computerised provider order entry system." BMJ Quality & Safety 20, no. 11 (2011): 932–40. http://dx.doi.org/10.1136/bmjqs.2010.050021.

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26

Deep, Gagan, and Ioannis K. Argyros. "Improved Higher Order Compositions for Nonlinear Equations." Foundations 3, no. 1 (2023): 25–36. http://dx.doi.org/10.3390/foundations3010003.

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In the present study, two new compositions of convergence order six are presented for solving nonlinear equations. The first method is obtained from the third-order one given by Homeier using linear interpolation, and the second one is obtained from the third-order method given by Traub using divided differences. The first method requires three evaluations of the function and one evaluation of the first derivative, thereby enhancing the efficiency index. In the second method, the computation of a derivative is reduced by approximating it using divided differences. Various numerical experiments

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27

Amr, A. Wael, Elyamany Ahmed, and Elhakeem Ahmed. "Classification of Evaluation Metrics for Project Baseline Schedules." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 1 (2020): 235–39. https://doi.org/10.35940/ijeat.C5456.1010120.

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The Evaluation of construction baseline schedules aims to provide a high-quality project schedule. However, obtaining a project schedule free from technical defects remains a challenge to construction planners and schedulers.The result of having a high-quality schedule is achieving the desired project completion dates and avoid any disputes between the construction project parties which may be present due to the technical defects of the schedule itself. Many organizations and consultants had developed some evaluations techniques for assessing the baseline schedules from different prospects. Th

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Tao, Yanlin, and Kalyanasundaram Madhu. "Optimal Fourth, Eighth and Sixteenth Order Methods by Using Divided Difference Techniques and Their Basins of Attraction and Its Application." Mathematics 7, no. 4 (2019): 322. http://dx.doi.org/10.3390/math7040322.

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The principal objective of this work is to propose a fourth, eighth and sixteenth order scheme for solving a nonlinear equation. In terms of computational cost, per iteration, the fourth order method uses two evaluations of the function and one evaluation of the first derivative; the eighth order method uses three evaluations of the function and one evaluation of the first derivative; and sixteenth order method uses four evaluations of the function and one evaluation of the first derivative. So these all the methods have satisfied the Kung-Traub optimality conjecture. In addition, the theoreti

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29

Chatterjee, Swagato. "Order of justice in queues of emerging markets." Journal of Consumer Marketing 37, no. 6 (2020): 605–16. http://dx.doi.org/10.1108/jcm-04-2019-3178.

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Purpose Extant literature on queuing has identified service queues as social systems where social justice is an important factor for service evaluation. First-order justice, defined as a first-come first-served (FCFS) process, has been found to be a necessary condition of social justice and positive evaluation. Second-order justice, defined as equal waiting time, has been found to be an additional factor which comes into play only when first-order justice is met. This paper aims to show that in the emerging market situation, the above definitions of justice and the order mentioned above does n

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Vocke, Scott, Emily Werthman, Julie Caffrey, Brooke Dean, Joshua Rodriguez, and Gregory Andre. "565 Rehabilitation Time to Evaluation Report: A Quality Improvement Study." Journal of Burn Care & Research 44, Supplement_2 (2023): S115—S116. http://dx.doi.org/10.1093/jbcr/irad045.160.

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Abstract Introduction Successful rehabilitation of patients with burn injuries requires an in-depth occupational therapy (OT) and physical therapy (PT) evaluation early in the acute phase of a patient’s injury to develop a detailed therapy plan of care. In addition, it is a standard of the American Burn Association for verified burn centers to have a comprehensive rehabilitation program designed for burn patients within 24 hours of admission. However, there is no standardized report for tracking timeliness of issuing PT/OT orders or completion of therapy evaluations by PT/OT after a patient is

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31

Sa, Yongjin. "Flexible Work Arrangements Program Implementation Evaluation." Advances in Social Sciences Research Journal 8, no. 5 (2021): 63–70. http://dx.doi.org/10.14738/assrj.85.10154.

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This research primarily focuses on construction of the program evaluation proposal for the flexible work arrangements. In order to make the program evaluation design, this paper specifically discusses evaluation questions and data collection analysis regarding three kinds of evaluations including needs assessment, implementation evaluation, formative evaluation, and summative evaluation. Furthermore, the expected positive effects and main functions of the flexible work arrangements program evaluation are also suggested.

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32

S, Anisha, Indra Hartanto, Yuni Ahda, and Rahmawati Darussyamsu. "An Analysis of High Order Thinking Skills Aspects on the Assessment Instruments in Ecosyst Topic for the 10th Grade Senior High School Students." Jurnal Atrium Pendidikan Biologi 5, no. 1 (2020): 62. http://dx.doi.org/10.24036/apb.v5i1.6904.

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This research is an description research which aims to see the influence of higher order thinking skills in biological learning at SMAN 1 Nan Sabaris. Higher order thinking skills are essential for student future. The future demands the existence of an evoluation instrument to train student higher order thingking, not only the thinking skill in the lower cognitive domain, but also in a higher domain. One of the efforts to enhance higher order thinking skills is to engage studenta with the question integrade by cognitive C4-C6. The research analysed aspect of higher order thinking in an evaluat

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Ichimura, Taichi, Takahiro Kawaguchi, Yuichiro Yano, Yuko Hanado, and Takayuki Ishizaki. "Evaluation of Stability of Higher-Order Atomic Clocks by Higher-Order Allan Variance." IFAC-PapersOnLine 56, no. 2 (2023): 9843–48. http://dx.doi.org/10.1016/j.ifacol.2023.10.405.

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34

Duerden, Mat D., and Peter A. Witt. "Evaluating Youth Programs: An Overview of Practitioner Led Evaluations." Journal of Youth Development 5, no. 1 (2010): 112–17. http://dx.doi.org/10.5195/jyd.2010.236.

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Youth programs are prime contexts for the intentional facilitation of positive development. However, not all youth programs achieve positive outcomes equally. In order to promote the identification and dissemination of the characteristics and processes of effective youth programs, increased focus needs to be given to program evaluation. This article briefly reviews the main tenets of evaluation science in order to provide practitioners a roadmap for conducting their own evaluations. This includes an overview of different types of evaluations and key issues to consider when constructing an eval

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Cheng, Hao. "Second Order Model with Composite Quantile Regression." Journal of Physics: Conference Series 2437, no. 1 (2023): 012070. http://dx.doi.org/10.1088/1742-6596/2437/1/012070.

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Abstract In many fields, comprehensive evaluation is a very important topic. Both second order model and its modified one with quantile regression have been widely used in evaluation. Although quantile-type second order model has abilities in capturing a complete picture of different variables’ relations at different quantile levels. Sometimes we find it complex to summarize the conclusions of all quantile levels. Therefore, we propose a new second order model with composite quantile regression, which has the advantage of obtaining a whole evaluation result based on all quantile levels. More s

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Schmidt-Abbey, Barbara, Martin Reynolds, and Ray Ison. "Towards systemic evaluation in turbulent times – Second-order practice shift." Evaluation 26, no. 2 (2020): 205–26. http://dx.doi.org/10.1177/1356389020909120.

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The need for, and possibilities of, a second-order shift in evaluation practice are explored. Second-order evaluation practice enables an evaluator to improve practice as a skilled practitioner, acknowledging her embeddedness within an evaluand. The article explores evaluation practice as experienced by professional evaluators, using ideas from developmental evaluation coupled with systemic evaluation in the tradition of systems thinking in practice. Systemic evaluation aims to capture systemic sensibilities – the bigger picture – of complex turbulent situations of change underpinning evaluand

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Yadegari, Davoud, and Soroush Avakh Darestani. "Supplier evaluation with order allocation in mega-projects." Management Research Review 44, no. 8 (2021): 1157–81. http://dx.doi.org/10.1108/mrr-04-2020-0220.

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Purpose The purpose of this study is to provide a model for evaluating, prioritizing and allocating orders to suppliers in the supply chain for mega-projects. Design/methodology/approach By using an integrated model (based on fuzzy analytic network process), suppliers are selected and the appropriate amounts are allocated to them in mega-projects. Initially, a hierarchical model of the research method was introduced. Then, the results on reliability and validity analysis of research measurement tools were presented. Finally, prioritization and allocation of orders to suppliers, with a case stu

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Benjamin Rohit et al.,, Benjamin Rohit et al ,. "Model Order Reduction of Bolting and Feasibility Evaluation." International Journal of Mechanical and Production Engineering Research and Development 7, no. 5 (2017): 215–22. http://dx.doi.org/10.24247/ijmperdoct201723.

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39

Beckmann, Joe D., Billie Schultz, and Brian J. Doyle. "Evaluation of Phenol Sulfotransferase (SULT1A1) Ligand Binding Order." International Journal of Biochemistry and Biophysics 10, no. 2 (2022): 9–23. http://dx.doi.org/10.13189/ijbb.2022.100201.

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Ostalczyk, Piotr, and Piotr Duch. "On a Real-Time First-Order Difference Evaluation." Image Processing & Communications 17, no. 4 (2012): 167–71. http://dx.doi.org/10.2478/v10248-012-0043-x.

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Abstract A subject of this paper is a real-time evaluation of the first-order backward difference of a measured signal with noise. It is wellknown that a difference evaluation strongly increase a noise amplitude so the signal prefiltering is necessary. A very short review of practically used filters is given. To perform the pre-filtering operation one mainly apply linear filters characterized by their impulse response shape: finite impulse response (FIR) and infinite impulse response (IIR). To enhance the filtering operation one successfully apply so called adaptive filters and these described

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Harajli, M., N. Khairallah, and H. Nassif. "Externally Prestressed Members: Evaluation of Second-Order Effects." Journal of Structural Engineering 125, no. 10 (1999): 1151–61. http://dx.doi.org/10.1061/(asce)0733-9445(1999)125:10(1151).

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42

Fossati, Marco. "Evaluation of Aerodynamic Loads via Reduced-Order Methodology." AIAA Journal 53, no. 8 (2015): 2389–405. http://dx.doi.org/10.2514/1.j053755.

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43

Anh, V. V., N. N. Leonenko, and L. M. Sakhno. "Evaluation of bias in higher-order spectral estimation." Theory of Probability and Mathematical Statistics 80 (2010): 1. http://dx.doi.org/10.1090/s0094-9000-2010-00790-3.

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Cleary, John D., Jerry W. Taylor, and Ratnel L. Nolan. "Automatic Stop-Order Procedure for Antibiotics Needs Evaluation." American Journal of Health-System Pharmacy 48, no. 12 (1991): 2602. http://dx.doi.org/10.1093/ajhp/48.12.2602.

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Willow, Soohaeng Yoo, Kwang S. Kim, and So Hirata. "Stochastic evaluation of second-order Dyson self-energies." Journal of Chemical Physics 138, no. 16 (2013): 164111. http://dx.doi.org/10.1063/1.4801862.

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Burns, Tom, Jorun Rugkasa, and Andrew Molodynski. "The Oxford Community Treatment order Evaluation Trial (OCTET)." Psychiatric Bulletin 32, no. 10 (2008): 400. http://dx.doi.org/10.1192/pb.bp.108.022814.

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Banks, H. T., Michele L. Joyner, Buzz Wincheski, and William P. Winfree. "Nondestructive evaluation using a reduced-order computational methodology." Inverse Problems 16, no. 4 (2000): 929–45. http://dx.doi.org/10.1088/0266-5611/16/4/304.

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Manzini, Massimo, and Marcello Urgo. "Critical Components Evaluation in Manufacturing-To-Order Processes." Procedia CIRP 37 (2015): 146–51. http://dx.doi.org/10.1016/j.procir.2015.08.046.

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Yoshida, A., H. Suzuki, S. Hasuo, et al. "Evaluation of superconducting first-order sigma-delta modulator." Physica C: Superconductivity and its Applications 445-448 (October 2006): 1037–40. http://dx.doi.org/10.1016/j.physc.2006.05.097.

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50

Kulkarni, Prasad A., David B. Whalley, Gary S. Tyson, and Jack W. Davidson. "Practical exhaustive optimization phase order exploration and evaluation." ACM Transactions on Architecture and Code Optimization 6, no. 1 (2009): 1–36. http://dx.doi.org/10.1145/1509864.1509865.

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