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Journal articles on the topic 'Long-term persistence'

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Published: 4 June 2021
Last updated: 31 January 2023

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1

Guiso, Luigi, Paola Sapienza, and Luigi Zingales. "LONG-TERM PERSISTENCE." Journal of the European Economic Association 14, no. 6 (August 2, 2016): 1401–36. http://dx.doi.org/10.1111/jeea.12177.

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2

Izquierdo, Ivan, Martin Cammarota, and Jorge H. Medina. "Long-term memory persistence." Future Neurology 5, no. 6 (November 2010): 911–17. http://dx.doi.org/10.2217/fnl.10.60.

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3

Nail, Lillian M. "Long-term persistence of symptoms." Seminars in Oncology Nursing 17, no. 4 (November 2001): 249–54. http://dx.doi.org/10.1053/sonu.2001.27916.

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4

Abraham, Wickliffe C. "How long will long-term potentiation last?" Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 358, no. 1432 (April 29, 2003): 735–44. http://dx.doi.org/10.1098/rstb.2002.1222.

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The paramount feature of long-term potentiation (LTP) as a memory mechanism is its characteristic persistence over time. Although the basic phenomenology of LTP persistence was established 30 years ago, new insights have emerged recently about the extent of LTP persistence and its regulation by activity and experience. Thus, it is now evident that LTP, at least in the dentate gyrus, can either be decremental, lasting from hours to weeks, or stable, lasting months or longer. Although mechanisms engaged during the induction of LTP regulate its subsequent persistence, the maintenance of LTP is also governed by activity patterns post-induction, whether induced experimentally or generated by experience. These new findings establish dentate gyrus LTP as a useful model system for studying the mechanisms governing the induction, maintenance and interference with long-term memory, including very long-term memory lasting months or longer. The challenge is to study LTP persistence in other brain areas, and to relate, if possible, the properties and regulation of LTP maintenance to these same properties of the information that is actually stored in those regions.
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5

Bailey, Craig H., Eric R. Kandel, and Kausik Si. "The Persistence of Long-Term Memory." Neuron 44, no. 1 (September 2004): 49–57. http://dx.doi.org/10.1016/j.neuron.2004.09.017.

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6

Willerslev, Eske, Anders J. Hansen, Regin Rønn, Tina B. Brand, Ian Barnes, Carsten Wiuf, David Gilichinsky, David Mitchell, and Alan Cooper. "Long-term persistence of bacterial DNA." Current Biology 14, no. 1 (January 2004): R9—R10. http://dx.doi.org/10.1016/j.cub.2003.12.012.

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7

Ruzmaikin, Alexander, Joan Feynman, and Paul Robinson. "Long-term persistence of solar activity." Solar Physics 152, no. 1 (June 1994): 313. http://dx.doi.org/10.1007/bf01473221.

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8

Ruzmaikin, Alexander, Joan Feynman, and Paul Robinson. "Long-term persistence of solar activity." Solar Physics 149, no. 2 (February 1994): 395–403. http://dx.doi.org/10.1007/bf00690625.

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9

Lindahl, Mikael, Mårten Palme, Sofia Sandgren Massih, and Anna Sjögren. "Long-Term Intergenerational Persistence of Human Capital." Journal of Human Resources 50, no. 1 (2015): 1–33. http://dx.doi.org/10.3368/jhr.50.1.1.

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10

Morrison, Vicki A., Gary R. Johnson, Kenneth E. Schmader, Myron J. Levin, Jane H. Zhang, David J. Looney, Robert Betts, et al. "Long-term Persistence of Zoster Vaccine Efficacy." Clinical Infectious Diseases 60, no. 6 (November 20, 2014): 900–909. http://dx.doi.org/10.1093/cid/ciu918.

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11

Fordyce, Sarah L., Marie-Louise Kampmann, Nienke L. van Doorn, and M. Thomas P. Gilbert. "Long-term RNA persistence in postmortem contexts." Investigative Genetics 4, no. 1 (2013): 7. http://dx.doi.org/10.1186/2041-2223-4-7.

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12

Barañano, Ilaski, and Diego Romero-Ávila. "Long-term growth and persistence with obsolescence." Economic Modelling 51 (December 2015): 328–39. http://dx.doi.org/10.1016/j.econmod.2015.08.014.

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13

Battaglini, Marco. "Long-Term Contracting with Markovian Consumers." American Economic Review 95, no. 3 (May 1, 2005): 637–58. http://dx.doi.org/10.1257/0002828054201369.

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To study how a firm can capitalize on a long-term customer relationship, we characterize the optimal contract between a monopolist and a consumer whose preferences follow a Markov process. The optimal contract is nonstationary and has infinite memory, but is described by a simple state variable. Under general conditions, supply converges to the efficient level for any degree of persistence of the types and along any history, though convergence is history-dependent. In contrast, as with constant types, the optimal contract can be renegotiation-proof, even with highly persistent types. These properties provide insights into the optimal ownership structure of the production technology.
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14

Woolley, Kaitlin, and Ayelet Fishbach. "Immediate Rewards Predict Adherence to Long-Term Goals." Personality and Social Psychology Bulletin 43, no. 2 (November 29, 2016): 151–62. http://dx.doi.org/10.1177/0146167216676480.

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People primarily pursue long-term goals, such as exercising, to receive delayed rewards (e.g., improved health). However, we find that the presence of immediate rewards is a stronger predictor of persistence in goal-related activities than the presence of delayed rewards. Specifically, immediate rewards (e.g., enjoyment) predicted current persistence at New Year’s resolutions whereas delayed rewards did not (Study 1). Furthermore, immediate rewards predicted persistence in a single session of studying and exercising whereas delayed rewards did not, even though people report primarily pursuing these activities for delayed rewards (Studies 2 and 3). This is true for both short (1 week) and long (3 month) time frames (Study 4), and regardless of whether anticipated or materialized rewards are assessed (Study 5). Overall, whereas delayed rewards may motivate goal setting and the intentions to pursue long-term goals, a meta-analysis of our studies finds that immediate rewards are more strongly associated with actual persistence in a long-term goal.
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15

Dean, Deborah, Robert J. Suchland, and Walter E. Stamm. "Evidence for Long‐Term Cervical Persistence ofChlamydia trachomatisbyomp1Genotyping." Journal of Infectious Diseases 182, no. 3 (September 2000): 909–16. http://dx.doi.org/10.1086/315778.

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16

DASGUPTA, AMIL, ANDREA PRAT, and MICHELA VERARDO. "Institutional Trade Persistence and Long-Term Equity Returns." Journal of Finance 66, no. 2 (March 21, 2011): 635–53. http://dx.doi.org/10.1111/j.1540-6261.2010.01644.x.

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17

Cavanagh, J. B. "Long term persistence of mercury in the brain." Occupational and Environmental Medicine 45, no. 10 (October 1, 1988): 649–51. http://dx.doi.org/10.1136/oem.45.10.649.

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18

Wiedermann, G., M. Kundi, F. Ambrosch, A. Safary, E. D'Hondt, and A. Delem. "Inactivated hepatitis A vaccine: long-term antibody persistence." Vaccine 15, no. 6-7 (April 1997): 612–15. http://dx.doi.org/10.1016/s0264-410x(96)00242-3.

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19

Ding, Dah-Ching, Ying-Cheng Chang, Hwan-Wun Liu, and Tang-Yuan Chu. "Long-term persistence of human papillomavirus in environments." Gynecologic Oncology 121, no. 1 (April 2011): 148–51. http://dx.doi.org/10.1016/j.ygyno.2010.11.040.

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20

Pascarella, Ernest T., John C. Smart, and Corinna A. Ethington. "Long-term persistence of two-year college students." Research in Higher Education 24, no. 1 (1986): 47–71. http://dx.doi.org/10.1007/bf00973742.

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21

Gil-Alana, Luis A. "U.K. Rainfall Data: A Long-Term Persistence Approach." Journal of Applied Meteorology and Climatology 51, no. 10 (October 2012): 1904–13. http://dx.doi.org/10.1175/jamc-d-11-0201.1.

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AbstractThis paper looks at the analysis of U.K. monthly rainfall data from a long-term persistence viewpoint. Different modeling approaches are considered, taking into account the strong dependence and the seasonality in the data. The results indicate that the most appropriate model is the one that presents cyclical long-run dependence with the order of integration being positive though small, and the cycles having a periodicity of about a year.
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22

Schurgin, M. W., Z. M. Reagh, M. A. Yassa, and J. I. Flombaum. "Building tolerant long-term memories through (object) persistence." Journal of Vision 14, no. 10 (August 22, 2014): 30. http://dx.doi.org/10.1167/14.10.30.

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23

Rossato, J. I., L. R. M. Bevilaqua, I. Izquierdo, J. H. Medina, and M. Cammarota. "Dopamine Controls Persistence of Long-Term Memory Storage." Science 325, no. 5943 (August 20, 2009): 1017–20. http://dx.doi.org/10.1126/science.1172545.

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24

Vicente, Ángel Martín, and Rocío Fernández Alés. "Long Term Persistence of Dehesas. Evidences from History." Agroforestry Systems 67, no. 1 (April 2006): 19–28. http://dx.doi.org/10.1007/s10457-005-1110-8.

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25

Alves da Silva, Antonio Samuel, Moacyr Cunha Filho, Rômulo Simões Cezar Menezes, Tatijana Stosic, and Borko Stosic. "Trends and Persistence of Dry–Wet Conditions in Northeast Brazil." Atmosphere 11, no. 10 (October 21, 2020): 1134. http://dx.doi.org/10.3390/atmos11101134.

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We analyze trend and persistence in Standardized Precipitation Index (SPI) time series derived from monthly rainfall data at 133 gauging stations in Pernambuco state, Brazil, using a suite of complementary methods to address the spatially explicit tendencies, and persistence. SPI was calculated for 1-, 3-, 6-, and 12-month time scales from 1950 to 2012. We use Mann–Kendall test and Sen’s slope to determine sign and magnitude of the trend, and detrended fluctuation analysis (DFA) method to quantify long-term correlations. For all time scales significant negative trends are obtained in the Sertão (deep inland) region, while significant positive trends are found in the Agreste (intermediate inland), and Zona da Mata (coastal) regions. The values of DFA exponents show different scaling behavior for different time scales. For short-term conditions described by SPI-1 the DFA exponent is close to 0.5 indicating weak persistency and low predictability, while for medium-term conditions (SPI-3 and SPI-6) DFA exponents are greater than 0.5 and increase with time scale indicating stronger persistency and higher predictability. For SPI-12 that describes long-term precipitation patterns, the values of DFA exponents for inland regions are around 1, indicating strong persistency, while in the shoreline the value of the DFA exponent is between 1.0 and 1.5, indicating anti-persistent fractional Brownian motion. These results should be useful for agricultural planning and water resource management in the region.
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26

PIMENTEL, RENÊ COPPE, and ANDSON BRAGA DE AGUIAR. "THE ROLE OF EARNINGS PERSISTENCE IN VALUATION ACCURACY AND THE TIME HORIZON." Revista de Administração de Empresas 56, no. 1 (February 2016): 71–86. http://dx.doi.org/10.1590/s0034-759020160107.

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ABSTRACT Based on the assumption that earnings persistence has implications for both financial analysis and compensation contracts, the aim of this paper is to investigate the role of earnings persistence assuming that (i) more persistent earnings are likely to be a better input to valuation models and (ii) more persistent earnings are likely to serve as a proxy for long-term market and managerial orientation. The analysis is based on Brazilian listed firms from 1995 to 2013, and while we document strong support for the relevance of earnings persistence in financial analysis and valuation, we fail to document a significant relationship between earnings persistence and long-term value orientation. These results are sensitive to different specifications, and additional results suggest that firms' idiosyncratic risk (total risk) is relevant to explain the focus on short-term outcomes (short-termism) across firms. The main contribution of this paper is to offer empirical evidence for the relevance of accounting numbers in both valuation and contractual theories in an emergent market.
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27

Gil-Alana, L. A., C. P. Barros, and A. Assaf. "Retail sales: persistence in the short-term and long-term dynamics." IMA Journal of Management Mathematics 25, no. 3 (November 19, 2013): 367–86. http://dx.doi.org/10.1093/imaman/dpt013.

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28

Di Toro, Alessandro, Antonio Bozzani, Guido Tavazzi, Mario Urtis, Lorenzo Giuliani, Roberto Pizzoccheri, Flaminia Aliberti, Viola Fergnani, and Eloisa Arbustini. "Long COVID: long-term effects?" European Heart Journal Supplements 23, Supplement_E (October 1, 2021): E1—E5. http://dx.doi.org/10.1093/eurheartj/suab080.

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Abstract The term Long COVID (or Post COVID) describes a condition characterized by persistence of symptoms for at least 12 weeks after the onset of COVID-19. It may last several months but the duration is still matter of observation. The symptoms and the clinical manifestations are clinically heterogeneous and suggesting involvement of multi-organs/systems, including the cardiovascular system. The general recurrent symptoms include fatigue, breathlessness, myalgia, headache, loss of memory, and impaired concentration. Patients report loss of their previous psychophysical performance. Cardiovascular involvement manifests with common symptoms such as palpitations and chest pain, and, less commonly, with events such as late arterial and venous thromboembolisms, heart failure episodes, strokes or transient ischaemic attack, ‘myo-pericarditis’. The diagnostic criteria are mainly based on the narrative of the patients. Measurable biomarkers or instrumental findings or clinical events are not yet framed in a shared diagnostic framework. The open question for clinicians and researchers is whether biomarkers, electrocardiogram, non-invasive imaging, and clinical monitoring should be included in a shared diagnostic protocol aimed at defining the diagnostic path and protecting patients at risk of unexpected events.
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29

Smolen, Paul. "Modeling Maintenance of Long-Term Potentiation in Clustered Synapses: Long-Term Memory without Bistability." Neural Plasticity 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/185410.

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Memories are stored, at least partly, as patterns of strong synapses. Given molecular turnover, how can synapses maintain strong for the years that memories can persist? Some models postulate that biochemical bistability maintains strong synapses. However, bistability should give a bimodal distribution of synaptic strength or weight, whereas current data show unimodal distributions for weights and for a correlated variable, dendritic spine volume. Thus it is important for models to simulate both unimodal distributions and long-term memory persistence. Here a model is developed that connects ongoing, competing processes of synaptic growth and weakening to stochastic processes of receptor insertion and removal in dendritic spines. The model simulates long-term (>1 yr) persistence of groups of strong synapses. A unimodal weight distribution results. For stability of this distribution it proved essential to incorporate resource competition between synapses organized into small clusters. With competition, these clusters are stable for years. These simulations concur with recent data to support the “clustered plasticity hypothesis” which suggests clusters, rather than single synaptic contacts, may be a fundamental unit for storage of long-term memory. The model makes empirical predictions and may provide a framework to investigate mechanisms maintaining the balance between synaptic plasticity and stability of memory.
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30

Milonas, Daimantas, Zilvinas Venclovas, Gustas Sasnauskas, and Tomas Ruzgas. "The Significance of Prostate Specific Antigen Persistence in Prostate Cancer Risk Groups on Long-Term Oncological Outcomes." Cancers 13, no. 10 (May 18, 2021): 2453. http://dx.doi.org/10.3390/cancers13102453.

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Objective: To assess the significance of prostate-specific antigen (PSA) persistence at the first measurement after radical prostatectomy (RP) on long-term outcomes in different prostate cancer risk groups. Methods: Persistent PSA was defined as ≥0.1 ng/mL at 4–8 weeks after RP. Patients were stratified into low-, intermediate- and high-risk groups, according to the preoperative PSA, pathological stage, grade group and lymph nodes status. The ten-year cumulative incidence of biochemical recurrence (BCR), metastases, cancer-specific mortality (CSM) and overall mortality (OM) were calculated in patients with undetectable and persistent PSA in different PCa-risk groups. Multivariate regression analyses depicted the significance of PSA persistence on each study endpoint. Results: Of all 1225 men, in 246 (20.1%), PSA persistence was detected. These men had an increased risk of BCR (hazard ratio (HR) 4.2, p < 0.0001), metastases (HR: 2.7, p = 0.002), CRM (HR: 5.5, p = 0.002) and OM (HR: 1.8, p = 0.01) compared to the men with undetectable PSA. The same significance of PSA persistence on each study endpoint was found in the high-risk group (HR: 2.5 to 6.2, p = 0.02 to p < 0.0001). In the intermediate-risk group, PSA persistence was found as a predictor of BCR (HR: 3.9, p < 0.0001), while, in the low-risk group, PSA persistence was not detected as a significant predictor of outcomes after RP. Conclusions: Persistent PSA could be used as an independent predictor of worse long-term outcomes in high-risk PCa patients, while, in intermediate-risk patients, this parameter significantly predicts only biochemical recurrence and has no impact on the outcomes in low-risk PCa patients.
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31

Kane, Sunanda, Michael Sumner, Dory Solomon, and Matthew Jenkins. "Continuing Persistence with Mesalamine Therapy: Results from Patients Persistent with Long-Term Therapy." American Journal of Gastroenterology 104 (October 2009): S475. http://dx.doi.org/10.14309/00000434-200910003-01271.

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32

Chassé, Mathieu, Suzanne Lutfalla, Lauric Cécillon, François Baudin, Samuel Abiven, Claire Chenu, and Pierre Barré. "Long-term bare-fallow soil fractions reveal thermo-chemical properties controlling soil organic carbon dynamics." Biogeosciences 18, no. 5 (March 10, 2021): 1703–18. http://dx.doi.org/10.5194/bg-18-1703-2021.

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Abstract. Evolution of organic carbon content in soils has the potential to be a major driver of atmospheric greenhouse gas concentrations over the next century. Understanding soil carbon dynamics is a challenge due to a wide range of residence times of soil organic matter and limited constraints on the mechanisms influencing its persistence. In particular, large uncertainties exist regarding the persistence of pyrogenic organic carbon in soils. In order to characterize organic matter with varying degrees of persistence and to distinguish pyrogenic organic carbon, we combined Rock-Eval analysis, a thermo-chemical method, with the benzene polycarboxylic acid molecular marker method and Raman spectroscopy to characterize samples from long-term bare-fallow experiments, progressively depleted in the most labile organic carbon over time. Considering the heterogeneity of soil samples, size fractions have been separated to distinguish pools of organic carbon with distinct properties. We observe that organic carbon dynamics is dependent on granulometry. A pool of organic carbon with intermediate residence times, from years to a few decades, representing ca. 65 % of the bulk soil organic carbon stock, is mainly associated with fine fractions (< 20 µm). With time under bare fallow, this organic carbon is progressively transferred towards finer fractions through the breakdown of organic matter. Coarse fractions (> 20 µm) are rich in centennially persistent organic carbon, representing ca. 20 % of the initial organic carbon stock, due to the chemical recalcitrance of organic matter in these fractions, dominated by pyrogenic organic carbon. A second pool of persistent organic carbon, representing ca. 15 % of the initial organic carbon stock, is associated with the clay fraction, indicating mechanisms of protection occurring at the submicron scale (< 2 µm). This persistent organic carbon only represents 30 % of the organic carbon initially present in the clay fraction. Persistent organic carbon exhibits heterogeneous chemical signatures depending on the considered pool but a consistent thermal signature demonstrating the relationship between thermal stability and biogeochemical stability of soil organic carbon. This gives the possibility of assessing the size of the persistent organic carbon pool in soils using thermal parameters. The persistence of pyrogenic organic carbon in the clay fraction is similar to the one of total organic carbon. The different persistence of coarse and fine pyrogenic organic carbon resides in the highly condensed nature of sand-sized pyrogenic carbon, which may result from burning temperatures over 700 ∘C. Pyrogenic organic carbon is not inert but exhibits a consistent increase in the level of condensation with time in all size fractions, showing the role of chemical quality in pyrogenic organic carbon persistence. Overall, this study helps improve the separation, evaluation and characterization of carbon pools with distinct residence times in soils and gives insight into the mechanistic origin of soil organic carbon dynamics.
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33

Walker, Robert, Mark Schulz, Birendra Arora, Eric Chung, Prabhjot Juneja, Stephane Verhaeghe, Tim Spelman, and Simon Broadley. "057 Real world evidence (RWE) on long-term persistence of fingolimod in relapsing-remitting multiple sclerosis (RRMS) in australia." Journal of Neurology, Neurosurgery & Psychiatry 89, no. 6 (May 24, 2018): A23.3—A24. http://dx.doi.org/10.1136/jnnp-2018-anzan.56.

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IntroductionThis study aimed to examine and compare patient persistence of fingolimod to all reimbursed disease modifying therapies (DMTs) for relapsing-remitting multiple sclerosis (RRMS) in Australia.MethodThe Pharmaceutical Benefits Scheme (PBS) 10% sample supplied by the Department of Human Services was used in this study. Eligible patients must have received a script for a reimbursed DMT for RRMS between September 2011 and February 2016. Patient demographics were summarised using mean and standard deviation or frequency percentage. Persistence was defined as a patient that remained on a DMT with a gap in scripts of no longer than 4 months. Individual patients could be included multiple times if they initiated a new DMT during the study period. Persistence was derived using the Kaplan-Meier method and hazard ratios (HR). Persistence to individual treatments was then compared to the average persistence observed across all treatments; p-values were based on the log-rank test.Results720 unique patients were eligible for the study, contributing 1827 observations that for analysis (2.5 new initiations/patient). Overall the median persistence (MP) to therapy was 29.6 months with 67.7% of patients remaining on therapy for 12 months. The only DMT with significantly better persistence compared to the overall average was fingolimod (HR 0.65 (95%CI 0.57–0.73; p<0.001). Patients had an MP of 60 months on fingolimod with 79.5% of patients persistent at 12 months. Patients were significantly less persistent to interferon Beta-1a, interferon Beta-1b, glatiramer acetate and dimethyl fumarate (hazard ratios above 1.27 (p values all≤0.001) whilst the remaining DMTs, teriflunomide and natalizumab, showed no significant difference from the average persistence.ConclusionIn this analysis of PBS sample data, patients were most persistent to fingolimod treatment amongst all DMTs.
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34

Fraser, T. J., S. Dennis, R. A. Moss, K. N. Tozer, N. R. Stocker, A. L. Taylor, M. J. Faville, and C. Smith. "Long term effect of superphosphate fertilisers on pasture persistence." NZGA: Research and Practice Series 15 (January 1, 2011): 93–97. http://dx.doi.org/10.33584/rps.15.2011.3210.

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Core samples were taken from 60-year-old pastures on a long-term fertiliser trial at the Winchmore research station, in Canterbury, New Zealand. Plots had been treated with 0, 188 or 376 kg/ha of superphosphate annually, grazed by sheep, and pasture yields were recorded. Ryegrass persisted in all treatments, but was only dominant in the superphosphate treatments, unsown grasses dominated in the no superphosphate treatments. White clover was more common with superphosphate, and both cocksfoot and timothy required adequate superphosphate in order to persist. Over 60 years of measurements, yields were 9-15 t DM/ ha with superphosphate, and did not reduce over time. Given adequate fertiliser, a ryegrass-based irrigated pasture can continue to produce high yields 60 years following sowing. Keywords: ryegrass, cocksfoot, t
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35

Lepreti, Fabio, Vincenzo Carbone, and Antonio Vecchio. "Scaling Properties and Persistence of Long-Term Solar Activity." Atmosphere 12, no. 6 (June 8, 2021): 733. http://dx.doi.org/10.3390/atmos12060733.

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The long-range correlations associated with the presence of persistence are investigated by applying the detrended fluctuation analysis (DFA) on three different proxies of long-term solar activity. The considered datasets are a sunspot number reconstruction (SNR04) obtained from the atmospheric activity of the cosmogenic isotope 14C derived from tree rings, a total solar irradiance reconstruction (TSIR12) obtained from several 10Be ice core records from Greenland and Antarctica in combination with the global record of 14C in tree rings and a new multi-proxy sunspot number reconstruction (SNR18), also derived from 10Be datasets and the global 14C production series. The DFA scaling exponents found for the three time series are similar (lying in the range between 0.70 and 0.77) and the scaling ranges are comparable. These results indicate the presence of long-range correlations with persistence, in substantial agreement with the findings of previous studies carried out on other solar activity indices and proxies.
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36

Grossman, Gary D. "Long term persistence in a rocky intertidal fish assemblage." Environmental Biology of Fishes 15, no. 4 (April 1986): 315–17. http://dx.doi.org/10.1007/bf03549802.

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37

Mészáros, Gabriella, Gabriella Bognár, and G. J. Köteles. "Long‐Term Persistence of Chromosome Aberrations in Uranium Miners." Journal of Occupational Health 46, no. 4 (July 2004): 310–15. http://dx.doi.org/10.1539/joh.46.310.

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38

Enger, Kyle S., Jade Mitchell, Bharathi Murali, Dawn N. Birdsell, Paul Keim, Patrick L. Gurian, and David M. Wagner. "Evaluating the long-term persistence ofBacillusspores on common surfaces." Microbial Biotechnology 11, no. 6 (May 3, 2018): 1048–59. http://dx.doi.org/10.1111/1751-7915.13267.

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39

Ayyadurai, Saravanan, Linda Houhamdi, Hubert Lepidi, Claude Nappez, Didier Raoult, and Michel Drancourt. "Long-term persistence of virulent Yersinia pestis in soil." Microbiology 154, no. 9 (September 1, 2008): 2865–71. http://dx.doi.org/10.1099/mic.0.2007/016154-0.

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40

Sumithran, Priya, Luke A. Prendergast, Elizabeth Delbridge, Katrina Purcell, Arthur Shulkes, Adamandia Kriketos, and Joseph Proietto. "Long-Term Persistence of Hormonal Adaptations to Weight Loss." Obstetrical & Gynecological Survey 67, no. 2 (February 2012): 91–92. http://dx.doi.org/10.1097/ogx.0b013e318247c6f7.

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41

Oetjen, E. "Long-Term Persistence of Hormonal Adaptations to Weight Loss." Yearbook of Endocrinology 2012 (January 2012): 22–23. http://dx.doi.org/10.1016/j.yend.2012.03.060.

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Ruth, M. R. "Long-Term Persistence of Hormonal Adaptations to Weight Loss." Yearbook of Endocrinology 2012 (January 2012): 98–100. http://dx.doi.org/10.1016/j.yend.2012.04.022.

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Sumithran, Priya, Luke A. Prendergast, Elizabeth Delbridge, Katrina Purcell, Arthur Shulkes, Adamandia Kriketos, and Joseph Proietto. "Long-Term Persistence of Hormonal Adaptations to Weight Loss." New England Journal of Medicine 365, no. 17 (October 27, 2011): 1597–604. http://dx.doi.org/10.1056/nejmoa1105816.

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Oetjen, E. "Long-Term Persistence of Hormonal Adaptations to Weight Loss." Yearbook of Medicine 2012 (January 2012): 418–19. http://dx.doi.org/10.1016/s0084-3873(12)00313-6.

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Sumithran, P., L. A. Prendergast, E. Delbridge, K. Purcell, A. Shulkes, and J. Proietto. "Long-term persistence of hormonal adaptations to weight loss." Obesity Research & Clinical Practice 5 (October 2011): 15. http://dx.doi.org/10.1016/j.orcp.2011.08.082.

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Monetti, Roberto A., Shlomo Havlin, and Armin Bunde. "Long-term persistence in the sea surface temperature fluctuations." Physica A: Statistical Mechanics and its Applications 320 (March 2003): 581–89. http://dx.doi.org/10.1016/s0378-4371(02)01662-x.

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Davies, A. L., M. A. Smith, C. A. Froyd, and R. D. McCulloch. "Microclimate variability and long-term persistence of fragmented woodland." Biological Conservation 213 (September 2017): 95–105. http://dx.doi.org/10.1016/j.biocon.2017.06.006.

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Klop, C., P. M. J. Welsing, P. J. M. Elders, J. A. Overbeek, P. C. Souverein, A. M. Burden, H. A. W. van Onzenoort, H. G. M. Leufkens, J. W. J. Bijlsma, and F. de Vries. "Long-term persistence with anti-osteoporosis drugs after fracture." Osteoporosis International 26, no. 6 (March 31, 2015): 1831–40. http://dx.doi.org/10.1007/s00198-015-3084-3.

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Kretchun, Alec M., Robert M. Scheller, Douglas J. Shinneman, Benjamin Soderquist, Kaitlin Maguire, Timothy E. Link, and Eva K. Strand. "Long term persistence of aspen in snowdrift-dependent ecosystems." Forest Ecology and Management 462 (April 2020): 118005. http://dx.doi.org/10.1016/j.foreco.2020.118005.

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Mattner, F., F. Biertz, S. Ziesing, P. Gastmeier, and I. F. Chaberny. "Long-term persistence of MRSA in re-admitted patients." Infection 38, no. 5 (July 3, 2010): 363–71. http://dx.doi.org/10.1007/s15010-010-0038-8.

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