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1

Lamberts, Henk. "Generic research in general practice." European Journal of General Practice 2, no. 3 (January 1996): 129–31. http://dx.doi.org/10.3109/13814789609161544.

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2

Reeves, Steve, and David Streader. "Generic Tools via General Refinement." Electronic Notes in Theoretical Computer Science 207 (April 2008): 187–202. http://dx.doi.org/10.1016/j.entcs.2008.03.093.

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3

Semrad, Jiri, Blanka Jirkovska, and Lenka Emrova. "RELATIONSHIP BETWEEN YOUNG GENERATION AND PARENT´S AND GRAND PARENT´S GENERATION." Slavonic Pedagogical Studies Journal 7, no. 2 (2018): 339–50. http://dx.doi.org/10.18355/pg.2018.7.2.10.

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4

Tuncay, Berna, Sergio Pagano, Mario De Santis, and Pierpaolo Cavallo. "Prescribing Behavior of General Practitioners for Generic Drugs." International Journal of Environmental Research and Public Health 17, no. 16 (August 14, 2020): 5919. http://dx.doi.org/10.3390/ijerph17165919.

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The factors influencing General Practitioners’ (GPs) prescribing behavior are diverse in terms of health care policies and regulations, GPs’ education and experience, demographic trends and disease profiles. Thus, it can be useful to analyze the specific local patterns, as they affect the quality of healthcare and the stability of the healthcare market. The aim of the present longitudinal retrospective study is to investigate the prescription of generic drugs in a database of about 4.6 million prescriptions from a sample of 38 GPs practicing in Salerno, Italy, within a timeframe of 15 years, from 2001 to 2015. The GPs in our study show a general tendency to increase prescriptions of generic drugs during the studied time span, to fulfill regulatory obligations and with some differences in prescription behavior according to age, gender and experience. The generics prescription depends also on the different diagnoses, with some diagnostic areas showing a greater generic drug prescription rate. Expanding this research to larger datasets would allow deepening the knowledge of the patterns of GPs’ prescribing decisions, to provide evidence to be used in comparison between different national settings.
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5

Tsamparlis, Michael. "The generic model of General Relativity." Journal of Physics: Conference Series 189 (October 1, 2009): 012041. http://dx.doi.org/10.1088/1742-6596/189/1/012041.

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6

Asgari, Mahdi, and Freydoon Shahidi. "Generic transfer for general spin groups." Duke Mathematical Journal 132, no. 1 (March 2006): 137–90. http://dx.doi.org/10.1215/s0012-7094-06-13214-3.

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7

Tsamparlis, Michael, and Andronikos Paliathanasis. "The generic model of general relativity." Arabian Journal of Mathematics 8, no. 3 (March 4, 2019): 201–54. http://dx.doi.org/10.1007/s40065-019-0239-7.

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8

Ruus, Hanne. "General Purpose Semantics: Hyponymy and Generic Relationships." Nordic Journal of Linguistics 11, no. 1-2 (June 1988): 111–28. http://dx.doi.org/10.1017/s0332586500001773.

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The paper examines the concept of semantic subordination in terminology and lexical semantics. Although the two traditions differ in their view of language, their inventories of semantic relations are very similar. It is shown that the defining characteristics of the generic relationships from the principles of terminology correspond to most of the salient features of contrast sets. It is argued that the onomasiological dictionaries constitute a valuable collection of data on the semantic relationships in the general language. Examples are given fromDansk Begrebsordbog. It is claimed that the registration of contrast sets is one step towards an operational definition of word sense.
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9

Wang, Lih-Chung. "DIVISORS OF GENERIC HYPERSURFACES OF GENERAL TYPE." Taiwanese Journal of Mathematics 6, no. 4 (December 2002): 507–13. http://dx.doi.org/10.11650/twjm/1500407474.

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10

Bowdle, Brian F., and Gregory Ward. "Generic Demonstratives." Annual Meeting of the Berkeley Linguistics Society 21, no. 1 (June 25, 1995): 32. http://dx.doi.org/10.3765/bls.v21i1.1396.

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Proceedings of the Twenty-First Annual Meeting of the Berkeley Linguistics Society: General Session and Parasession on Historical Issues in Sociolinguistics/Social Issues in Historical Linguistics (1995)
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11

Jangra, Sarita, Bhupinder Bhyan, and Aprna Nair. "Perception on generic drugs among general populace visiting a community pharmacy Jaipur, Rajasthan." Journal of Drug Delivery and Therapeutics 8, no. 6 (November 14, 2018): 192–94. http://dx.doi.org/10.22270/jddt.v8i6.2040.

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Healthcare costs have been leading cause of poverty for many Indians. One of the solutions to this is to advocate generic drugs which are cheaper in comparison to brand name drugs. The government of India had made it mandatory for physicians to use only generic names while prescribing. This study was conducted to analyze the perception of general public in Jaipur, Rajasthan towards generic drugs. A simple close ended questionnaire was administered to selected participants visiting a community pharmacy over a period of 3 months. Patients were asked about their opinions on effectiveness and government promotion of generic substitutions. In the study consisting of 100 participants 92 of them had heard of generic drugs while 76% knew the difference between generic and branded drugs. 47.8% believed that brand name drugs were more effective than generic while 34.7% believed in lower quality of generic drugs. Only 30.4% of participants were aware of government’s efforts to promote generic drugs. 65% confirmed that they would prefer a generic drug only if it were recommended by a physician and not a pharmacist. Majority of participants had their primary source of information as social media. The result from study suggests that in order to reduce overall healthcare costs of Indians the government must ensure to include all healthcare professionals with physicians as primary informer and also include campaigns through social Medias. Keywords: Healthcare costs, generic drugs, branded drugs, community pharmacy
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12

Schneider, K. R., and G. Heinz. "Branch Inclusion in Generic Hopf Bifurcation: General Approach." ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik 71, no. 7-8 (1991): 241–50. http://dx.doi.org/10.1002/zamm.19910710716.

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13

Rendall, A. D. "Curvature of generic space‐times in general relativity." Journal of Mathematical Physics 29, no. 7 (July 1988): 1569–74. http://dx.doi.org/10.1063/1.527903.

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14

Fua, Pascal, and Andrew J. Hanson. "Resegmentation using generic shape: Locating general cultural objects." Pattern Recognition Letters 5, no. 3 (March 1987): 243–52. http://dx.doi.org/10.1016/0167-8655(87)90070-5.

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15

Dosedel, Martin, Josef Maly, Ales Kubena, and Jiri Vlcek. "Opinions of Czech general practitioners on generic drugs and substitution." Open Medicine 9, no. 6 (December 1, 2014): 830–38. http://dx.doi.org/10.2478/s11536-013-0344-5.

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AbstractThe aim of the study was to map and analyze general practitioners` opinions of, attitudes towards and experiences with generic drugs and generic substitution (GS) in the Czech Republic. General practitioners (GPs) who took part in the annual and regional professional conferences of the Society of General Practice in the period from November 2008 until March 2009 were asked to complete the 28-item questionnaire concerning the issue of generic drugs and GS. Questions were organized in 5 sections aimed at assessing the attitude towards GS, understanding the legislation and opinions on statements related to GS. All data were analyzed using descriptive statistics and correlations were tested by selected parametric and non-parametric tests. Total of 263 completed questionnaires were returned (mean age of 52.2 years (SD=13.7), 177 (67.3%) females and 248 (94.3%) GPs having a practice specialization). 99 (37.6%) respondents have considered generic drugs to be bioequivalent to the respective brand name drugs. 121 (46.0%) respondents believed that generic drugs are of lower quality than brand name drugs. None of respondent showed acquaintance with all the legal rules for GS. Awareness of the legislation and attitude towards GS correlated with the age (p<0.001). In conclusion, distrust among GPs in generic drugs derives from poor knowledge and personal experiences.
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16

DeJesus, Jasmine M., Maureen A. Callanan, Graciela Solis, and Susan A. Gelman. "Generic language in scientific communication." Proceedings of the National Academy of Sciences 116, no. 37 (August 26, 2019): 18370–77. http://dx.doi.org/10.1073/pnas.1817706116.

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Scientific communication poses a challenge: To clearly highlight key conclusions and implications while fully acknowledging the limitations of the evidence. Although these goals are in principle compatible, the goal of conveying complex and variable data may compete with reporting results in a digestible form that fits (increasingly) limited publication formats. As a result, authors’ choices may favor clarity over complexity. For example, generic language (e.g., “Introverts and extraverts require different learning environments”) may mislead by implying general, timeless conclusions while glossing over exceptions and variability. Using generic language is especially problematic if authors overgeneralize from small or unrepresentative samples (e.g., exclusively Western, middle-class). We present 4 studies examining the use and implications of generic language in psychology research articles. Study 1, a text analysis of 1,149 psychology articles published in 11 journals in 2015 and 2016, examined the use of generics in titles, research highlights, and abstracts. We found that generics were ubiquitously used to convey results (89% of articles included at least 1 generic), despite that most articles made no mention of sample demographics. Generics appeared more frequently in shorter units of the paper (i.e., highlights more than abstracts), and generics were not associated with sample size. Studies 2 to 4 (n= 1,578) found that readers judged results expressed with generic language to be more important and generalizable than findings expressed with nongeneric language. We highlight potential unintended consequences of language choice in scientific communication, as well as what these choices reveal about how scientists think about their data.
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17

Langer, Mark, Richard Brown, S. Morrill, R. Lane, and O. Lee. "A generic genetic algorithm for generating beam weights." Medical Physics 23, no. 6 (June 1996): 965–71. http://dx.doi.org/10.1118/1.597858.

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18

Turnbull, Peter W., and Noreen E. Parsons. "Generic Prescribing in General Medical Practice: An Attitudinal Study of General Practitioners." Marketing Intelligence & Planning 11, no. 4 (April 1993): 30–40. http://dx.doi.org/10.1108/02634509310044243.

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19

POTANIN, ALEX, JAMES NOBLE, DAVE CLARKE, and ROBERT BIDDLE. "Featherweight generic confinement." Journal of Functional Programming 16, no. 6 (September 14, 2006): 793–811. http://dx.doi.org/10.1017/s0956796806006125.

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Existing approaches to object encapsulation either rely on ad hoc syntactic restrictions or require the use of specialised type systems. Syntactic restrictions are difficult to scale and to prove correct, while specialised type systems require extensive changes to programming languages. We demonstrate that confinement can be enforced cheaply in Featherweight Generic Java, with no essential change to the underlying language or type system. This result demonstrates that polymorphic type parameters can simultaneously act as ownership parameters and should facilitate the adoption of confinement and ownership type systems in general-purpose programming languages.
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20

Smith, D. "Dispensing in general practice. Legal pitfalls with generic prescribing." BMJ 306, no. 6894 (June 26, 1993): 1749. http://dx.doi.org/10.1136/bmj.306.6894.1749-b.

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21

Hassali, Mohamed Azmi, David C. M. Kong, and Kay Stewart. "Generic medicines: Perceptions of general practitioners in Melbourne, Australia." Journal of Generic Medicines 3, no. 3 (April 1, 2006): 214–25. http://dx.doi.org/10.1057/palgrave.jgm.4940122.

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22

Flaherty, Gerard N. "Generic prescribing." Medical Journal of Australia 162, no. 3 (February 1995): 168. http://dx.doi.org/10.5694/j.1326-5377.1995.tb138501.x.

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23

George, C. R. P. "Generic overdosage." Medical Journal of Australia 148, no. 5 (March 1988): 266–67. http://dx.doi.org/10.5694/j.1326-5377.1988.tb99446.x.

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24

TURNER, P. "GENERIC BIOINEQUIVALENCE." Lancet 330, no. 8557 (August 1987): 517. http://dx.doi.org/10.1016/s0140-6736(87)91834-4.

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25

Rele, Ruta, and Kiran Rele. "Generic curriculum." BMJ 335, no. 7625 (October 27, 2007): s156. http://dx.doi.org/10.1136/bmj.39356.621794.ce.

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26

Chetley, Andrew. "Generic embarrassment." Lancet 343, no. 8905 (April 1994): 1089–90. http://dx.doi.org/10.1016/s0140-6736(94)90190-2.

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27

HENDERSON, JAMES D., and RICHARD H. ESHAM. "Generic Substitution." Southern Medical Journal 94, no. 1 (January 2001): 16–21. http://dx.doi.org/10.1097/00007611-200101000-00003.

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28

Nightingale, S. L. "Generic Substitution." JAMA: The Journal of the American Medical Association 279, no. 9 (March 4, 1998): 645—b—645. http://dx.doi.org/10.1001/jama.279.9.645-b.

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29

Nightingale, Stuart L. "Generic Substitution." JAMA 279, no. 9 (March 4, 1998): 645. http://dx.doi.org/10.1001/jama.279.9.645-jfd80000-3-1.

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30

Doll, Jacob, Emily Zeitler, and Richard Becker. "Generic Clopidogrel." JAMA 310, no. 2 (July 10, 2013): 145. http://dx.doi.org/10.1001/jama.2013.7155.

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31

Aylett, M. J. "Generic prescribing." BMJ 291, no. 6506 (November 16, 1985): 1424. http://dx.doi.org/10.1136/bmj.291.6506.1424.

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32

Brunyate, P. H. "Generic prescribing." BMJ 292, no. 6512 (January 4, 1986): 62. http://dx.doi.org/10.1136/bmj.292.6512.62.

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33

Hayward, J. L., and I. S. Fentiman. "Generic prescribing." BMJ 292, no. 6522 (March 15, 1986): 762. http://dx.doi.org/10.1136/bmj.292.6522.762-b.

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34

Cantwell, J., and L. Conlon. "Generic leaves." Commentarii Mathematici Helvetici 73, no. 2 (June 1, 1998): 306–36. http://dx.doi.org/10.1007/s000140050057.

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35

Ran, Ziv. "SUPERFICIAL FIBRES OF GENERIC PROJECTIONS." Journal of the Institute of Mathematics of Jussieu 17, no. 2 (March 8, 2016): 419–24. http://dx.doi.org/10.1017/s1474748016000050.

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We consider a general fibre of given length in a generic projection of a variety. Under the assumption that the fibre is of local embedding dimension 2 or less, an assumption which can be checked in many cases, we prove that the fibre is reduced and its image on the projected variety is an ordinary multiple point.
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36

HESS, GLENN. "GENERIC BIOLOGICS." Chemical & Engineering News 86, no. 20 (May 19, 2008): 34–35. http://dx.doi.org/10.1021/cen-v086n020.p034.

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37

Suzuki, Katsuyuki, Katsumi Hanashima, Toshiyuki Enoki, and Takamasa Kuramoto. "Application of Generic Model Control to Batch Reactor Temperature Control." KAGAKU KOGAKU RONBUNSHU 31, no. 6 (2005): 435–40. http://dx.doi.org/10.1252/kakoronbunshu.31.435.

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38

Falcone, Nicholas. "Repositioning Generics: The Comparative Value of Liability in FDA's Proposed Rule on Labeling." American Journal of Law & Medicine 41, no. 2-3 (May 2015): 483–504. http://dx.doi.org/10.1177/0098858815591529.

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Generic drugs occupy a unique position in the U.S. pharmaceuticals market. On one hand, generics are a product of basic free-market economic reasoning. Congress enacted the Drug Price Competition and Patent Term Restoration Act of 1984 (Hatch-Waxman) based on the uncontroversial assumption that inexpensive generic competition would reduce prescription drug costs. On the other hand, the generic drug industry is primarily a regulatory creation; Hatch-Waxman facilitates generic competition by permitting generic manufacturers to rely heavily on prior expenditures of pioneer drug manufacturers, including those required to convince the Food and Drug Administration (FDA) that a drug is safe and efficacious. Propelled by federal law, generics have evolved from their minority market position as cheap alternatives to a “dominant” market position—today, they fill about 80% of prescriptions nationwide.
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39

MacKenna, Brian, Helen J. Curtis, Alex J. Walker, Seb Bacon, Richard Croker, and Ben Goldacre. "Suboptimal prescribing behaviour associated with clinical software design features: a retrospective cohort study in English NHS primary care." British Journal of General Practice 70, no. 698 (August 10, 2020): e636-e643. http://dx.doi.org/10.3399/bjgp20x712313.

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BackgroundElectronic health record (EHR) systems are used by clinicians to record patients’ medical information, and support clinical activities such as prescribing. In England, healthcare professionals are advised to ‘prescribe generically’ because generic drugs are usually cheaper than branded alternatives, and have fixed reimbursement costs. ‘Ghost-branded generics’ are a new category of medicines savings, caused by prescribers specifying a manufacturer for a generic product, often resulting in a higher reimbursement price compared with the true generic.AimTo describe time trends and practice factors associated with excess medication costs from ghost-branded generic prescribing.Design and settingRetrospective cohort study of English GP prescribing data and EHR deployment data.MethodA retrospective cohort study was conducted, based on data from the OpenPrescribing.net database from May 2013 to May 2019. Total spending on ghost-branded generics across England was calculated, and excess spend on ghost-branded generics calculated as a percentage of all spending on generics for every CCG and general practice in England, for every month in the study period.ResultsThere were 31.8 million ghost-branded generic items and £9.5 million excess cost in 2018, compared with 7.45 million ghost-branded generic items and £1.3 million excess cost in 2014. Most excess costs were associated with one EHR, SystmOne, and it was identified that SystmOne offered ghost-branded generic options as the default. After informing the vendor, the authors monitored for subsequent change in costs, and report a rapid decrease in ghost-branded generic expenditure.ConclusionA design choice in a commonly used EHR has led to £9.5 million in avoidable excess prescribing costs for the NHS in 1 year. Notifying the vendor led to a change in user interface and a rapid, substantial spend reduction. This finding illustrates that EHR user interface design has a substantial impact on the quality, safety, and cost-effectiveness of clinical practice; this should be a priority for quantitative research.
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40

Juul, J. "Iterates of generic polynomials and generic rational functions." Transactions of the American Mathematical Society 371, no. 2 (April 25, 2018): 809–31. http://dx.doi.org/10.1090/tran/7229.

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41

Hsu, Chia-Chen, Chia-Lin Chou, Shu-Chiung Chiang, Tzeng-Ji Chen, Li-Fang Chou, and Yueh-Ching Chou. "Urban-Rural Disparity of Generics Prescription in Taiwan: The Example of Dihydropyridine Derivatives." Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/905213.

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The aim of the current study was to investigate the urban-rural disparity of prescribing generics, which were usually cheaper than branded drugs, within the universal health insurance system in Taiwan. Data sources were the cohort datasets of National Health Insurance Research Database with claims data in 2010. The generic prescribing ratios of dihydropyridine (DHP) derivatives (the proportion of DHP prescribed as generics to all prescribed DHP) of medical facilities were examined against the urbanization levels of the clinic location. Among the total 21,606,914 defined daily doses of DHP, 35.7% belonged to generics. The aggregate generic prescribing ratio rose from 6.7% at academic medical centers to 15.3% at regional hospitals, 29.4% at community hospital, and 66.1% at physician clinics. Among physician clinics, the generic prescribing ratio in urban areas was 63.9 ± 41.0% (mean ± standard deviation), lower than that in suburban (69.6 ± 38.7%) and in rural (74.1% ± 35.3%). After adjusting the related factors in the linear regression model, generic prescribing ratios of suburban and rural clinics were significantly higher than those of urban clinics (β=0.043and 0.077;P=0.024and 0.008, resp.). The generic prescribing ratio of the most popular antihypertensive agents at a clinic was reversely associated with the urbanization level.
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42

SARDANASHVILY, G. "RELATIVISTIC MECHANICS IN A GENERAL SETTING." International Journal of Geometric Methods in Modern Physics 07, no. 07 (November 2010): 1307–19. http://dx.doi.org/10.1142/s0219887810004804.

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Relativistic mechanics on an arbitrary manifold is formulated in the terms of jets of its one-dimensional submanifolds. A generic relativistic Lagrangian is constructed. Relativistic mechanics on a pseudo-Riemannian manifold is particularly considered.
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43

Kobayashi, Robert. "Generic atracurium." Canadian Journal of Anaesthesia 45, no. 10 (October 1998): 1034. http://dx.doi.org/10.1007/bf03012321.

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44

Grzelczak, Marek, Ana Sánchez-Iglesias, and Luis M. Liz-Marzán. "A general approach toward polymer-coated plasmonic nanostructures." CrystEngComm 16, no. 40 (2014): 9425–29. http://dx.doi.org/10.1039/c4ce00724g.

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45

Inocencio, Marcos, Maria Cristina Sanches Amorim, Arnoldo Jose de Hoyos Guevara, and Bruna de Vivo. "Financial incentives for generic drugs: case study on a reimbursement program." Einstein (São Paulo) 8, no. 2 (June 2010): 154–61. http://dx.doi.org/10.1590/s1679-45082010ao1478.

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ABSTRACT Objective: To discuss the use of financial incentives in choice of medication and to assess the economic results concerning the use of financial incentives to promote the use of genetic medication in lieu of reference drugs in a company with a reimbursement program. Methods: A case study was carried out in a large supermarket. The data was obtained in the company responsible for managing medication. The study reached 83,625 users between August 2005 and July 2007. The data was submitted to regressions in order to analyze trends and hypothesis tests to assess differences in medication consumption. The results were compared with general data regarding medication consumption of five other organizations and also with data about the national consumption of generic medication in Brazil. Results: The use of financial incentives to replace brand medications for generics, in the company studied, increased the consumption of generic drugs without reducing the company expenses with the reimbursement programs. Conclusions: This study show the occurrence of unplanned results (increase in the consumption of medications) and the positive consequences of the reimbursement program concerning access to medication.
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46

Martín, N., and N. Balakrishnan. "Hypothesis testing in a generic nesting framework for general distributions." Journal of Multivariate Analysis 118 (July 2013): 1–23. http://dx.doi.org/10.1016/j.jmva.2013.03.012.

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47

Van Zwanenberg, T. D. "Audit Reports--Generic prescribing: hospital reports to a general practice." BMJ 291, no. 6502 (October 19, 1985): 1095–98. http://dx.doi.org/10.1136/bmj.291.6502.1095-a.

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48

Lee, Manseob. "General Expansiveness for Diffeomorphisms from the Robust and Generic Properties." Journal of Dynamical and Control Systems 22, no. 3 (July 1, 2015): 459–64. http://dx.doi.org/10.1007/s10883-015-9288-1.

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49

Gleeson, M., P. Coyle, M. Clarke Moloney, S. R. Walsh, and P. A. Grace. "An audit of generic prescribing in a general surgical department." Irish Journal of Medical Science 182, no. 3 (January 17, 2013): 403–8. http://dx.doi.org/10.1007/s11845-013-0900-7.

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50

Hamley, J. H., S. H. MacGregor, J. A. Dunbar, and J. A. Cromarty. "Integrating Clinical Pharmacists into the Primary Health Care Team: A Framework for Rational and Cost-Effective Prescribing." Scottish Medical Journal 42, no. 1 (February 1997): 4–7. http://dx.doi.org/10.1177/003693309704200102.

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A recent Audit Commission report into general practice prescribing identifies areas where general practitioner and pharmacist collaboration could be beneficial. Two such areas are formulary development and repeat prescribing review. Increased generic prescribing is encouraged in the report and in central priorities for Scottish Health Boards. This study was designed to develop and assess the effects on prescribing, of a practice formulary and a procedure for change to generic name prescribing. A practice formulary, standards for generic name prescribing and an approach to prescribing review were agreed, developed and implemented. Formulary compliance and the extent of prescribing generically and of changes to generic prescriptions were assessed by prospective prescription monitoring. Consultations resulting in a prescription reduced from 69% to 59% and 80% of acute prescribing events were met from 144 formulary medicines. Rapid change to generic name prescriptions was achieved without patient complaints and the overall generic prescribing level increased from 57% to 68%. Eighty percent of all new prescriptions were generic.
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