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Journal articles on the topic 'Long Short-Term'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Sharma, Mohit, and Rachhpal Singh. "Transhiatal Esophagectomy: Short and Long-term Outcomes." New Indian Journal of Surgery 11, no. 1 (2020): 39–43. http://dx.doi.org/10.21088/nijs.0976.4747.11120.5.

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2

Ramesh Kumar, Sowmya. "Long-Term vs. Short-Term Forecasting Data Scientist's Strategies for Different Horizons." International Journal of Science and Research (IJSR) 10, no. 6 (2021): 1796–97. http://dx.doi.org/10.21275/sr24213014558.

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3

Zannatul, Ferdoush, University Brac, Chakrabarty Amitabha, and Uddin Jia. "A short-term hybrid forecasting model for time series electrical-load data using random forest and bidirectional long short-term memory." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (2021): 763–71. https://doi.org/10.11591/ijece.v11i1.pp763-771.

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In the presence of the deregulated electric industry, load forecasting is more demanded than ever to ensure the execution of applications such as energy generation, pricing decisions, resource procurement, and infrastructure development. This paper presents a hybrid machine learning model for short-term load forecasting (STLF) by applying random forest and bidirectional long short-term memory to acquire the benefits of both methods. In the experimental evaluation, we used a Bangladeshi electricity consumption dataset of 36 months. The paper provides a comparative study between the proposed hyb

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4

Susetyo, Didik. "Determinants of Foreign Direct Investment (Fdi) in Indonesia: Short Term and Long Term." Modern Economics 33, no. 1 (2022): 72–81. http://dx.doi.org/10.31521/modecon.v33(2022)-10.

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Abstract. Introduction. Foreign capital flows have an important role in a sustainable Indonesian economy, these flows have a significant influence on developing countries, especially Indonesia to encourage increased economic growth. This study focuses on analyzing the determination of macroeconomic variables including economic growth, interest rates, rupiah exchange rates, and the number of residents who subscribe to cellular phones. Purpose. This study focuses on long-term analysis of macroeconomic variables in determining foreign direct investment (FDI). Results. The findings of this study i

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5

Achu, Maxwell N. "The Short and Long Term Peace Strategies: “Anglophone” Crisis, Cameroon." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 1596–605. http://dx.doi.org/10.31142/ijtsrd23512.

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6

Upadhyay, Devanshu, and Soumya Sharma. "Stock Price Prediction Using Concept of Long-Short Term Memory." International Journal of Scientific Engineering and Research 9, no. 12 (2021): 7–11. https://doi.org/10.70729/se211221110402.

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7

Wright, Paul. "Long term short cuts." British Dental Journal 208, no. 6 (2010): 241. http://dx.doi.org/10.1038/sj.bdj.2010.255.

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8

Schwaninger, Markus. "Long over short term." Journal of Organisational Transformation & Social Change 1, no. 1 (2004): 11–27. http://dx.doi.org/10.1386/jots.1.1.11/0.

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9

Hochreiter, Sepp, and Jürgen Schmidhuber. "Long Short-Term Memory." Neural Computation 9, no. 8 (1997): 1735–80. http://dx.doi.org/10.1162/neco.1997.9.8.1735.

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Learning to store information over extended time intervals by recurrent backpropagation takes a very long time, mostly because of insufficient, decaying error backflow. We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficient, gradient based method called long short-term memory (LSTM). Truncating the gradient where this does not do harm, LSTM can learn to bridge minimal time lags in excess of 1000 discrete-time steps by enforcing constant error flow through constant error carousels within special units. Multiplicative gate units learn to

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10

Kelly, Frances L. "A Short Term in Long-Term." American Journal of Nursing 88, no. 11 (1988): 1479. http://dx.doi.org/10.2307/3470816.

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11

Boike, Justin, and Jay L. Goldstein. "SHORT-TERM RESULTS: LONG-TERM SAFETY?" Evidence-Based Gastroenterology 7, no. 3 (2006): 73–74. http://dx.doi.org/10.1097/01.ebg.0000211617.15703.de.

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12

KELLY, FRANCES L. "A SHORT TERM IN LONG-TERM." AJN, American Journal of Nursing 88, no. 11 (1988): 1479–80. http://dx.doi.org/10.1097/00000446-198811000-00011.

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13

Sanyal, Romola. "Short-term jail, long-term consequences." Political Quarterly 88, no. 3 (2017): 545–47. http://dx.doi.org/10.1111/1467-923x.12389.

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14

Schweickert, Richard. "Short-Term Memory; Long-Term Goals." Contemporary Psychology: A Journal of Reviews 32, no. 11 (1987): 940–42. http://dx.doi.org/10.1037/026488.

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15

Green, Colin P. "Short Term Gain, Long Term Pain." Journal of Labor Research 33, no. 3 (2012): 337–52. http://dx.doi.org/10.1007/s12122-012-9136-y.

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16

Wizemann, Volker, and Wilfried Kramer. "Short-Term Dialysis - Long-Term Complications." Blood Purification 5, no. 4 (1987): 193–201. http://dx.doi.org/10.1159/000169471.

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17

Wermink, Hilde. "Short-term sentence, long-term effects?" EU Research Winter 2022, no. 33 (2023): 54–55. http://dx.doi.org/10.56181/kbry4246.

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Short-term prison sentences are commonly imposed for certain types of crimes, while other offenders may receive a non-custodial sanction like community service. What is the effect of short-term imprisonment on criminal behaviour? Does it lead to reduced rates of re-offending? These questions are at the core of Professor Hilde Wermink’s research.

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18

Jadhav, Dr Archana, and Dr,Nirmala Borade. "Study of serum Ascorbic acid levels in short term and long term Yoga Practices." International Journal of Scientific Research 2, no. 2 (2012): 357–58. http://dx.doi.org/10.15373/22778179/feb2013/119.

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19

Yoon Lee, Jung, Su Chan Lee, Seong Ho Choi, Ah Ra Lim, Ji Sun Park, and Jong Mun Kim. "Structural Behavior of Resilient Materials Subjected to Short-Term Load and Long-Term Load." International Journal of Engineering and Technology 6, no. 1 (2014): 65–69. http://dx.doi.org/10.7763/ijet.2014.v6.667.

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20

Cammarota, Martín, Lia R. M. Bevilaqua, Janine I. Rossato, Maria Ramirez, Jorge H. Medina, and Iván Izquierdo. "Relationship between short- and long-term memory and short- and long-term extinction." Neurobiology of Learning and Memory 84, no. 1 (2005): 25–32. http://dx.doi.org/10.1016/j.nlm.2005.03.002.

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21

Wang, Lu, Marek Vochozka, and Pavel Rousek. "The relationship between the short-term and long-term Phillips curve for the Czech Republic." Investment Management and Financial Innovations 19, no. 2 (2022): 250–59. http://dx.doi.org/10.21511/imfi.19(2).2022.22.

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Inflation in Czech Republic in 2021 significantly deviated from the tolerance band. Although the economic results are lagging behind expectations, inflationary pressures, mainly from abroad, are still intensifying. At the same time, the rapid rise in consumer prices affects not only households and consumers, but also business and companies. As is known, a very important tool for understanding inflation is the Phillips curve, which shows the relationship between two variables, the first one is inflation and the second one is unemployment. The aim of this paper is to research the relationship be

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22

Rosenzweig, Mark R., Edward L. Bennett, Paul J. Colombo, Diane W. Lee, and Peter A. Serrano. "Short-term, intermediate-term, and long-term memories." Behavioural Brain Research 57, no. 2 (1993): 193–98. http://dx.doi.org/10.1016/0166-4328(93)90135-d.

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23

Dani, Ninad. "Analysis of Financial Market Forecasting using Long Short-Term Memory (LSTM)." International Journal of Science and Research (IJSR) 11, no. 8 (2022): 1099–105. http://dx.doi.org/10.21275/sr22817190830.

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24

Dayton, Keith Gelarden, Karleigh Koster, Jamie D. Prenkert, and Robert Ridlon. "Short-term global business immersion courses: Short-term program, long-term effects?" Business Horizons 61, no. 6 (2018): 903–11. http://dx.doi.org/10.1016/j.bushor.2018.06.003.

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25

Frydrych, Lynn M., Toby P. Keeney-Bonthrone, Elizabeth Gwinn, Glenn K. Wakam, Maia S. Anderson, and Matthew J. Delano. "Short-term versus long-term trauma mortality." Journal of Trauma and Acute Care Surgery 87, no. 4 (2019): 990–97. http://dx.doi.org/10.1097/ta.0000000000002430.

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26

Drissner, Jürgen Reinhold, Hans-Martin Haase, Susanne Wittig, and Katrin Hille. "Short-term environmental education: long-term effectiveness?" Journal of Biological Education 48, no. 1 (2013): 9–15. http://dx.doi.org/10.1080/00219266.2013.799079.

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27

Spadafora, David. "Short-term Costs for Long-term Benefits." Journal of Library Administration 52, no. 1 (2012): 108–23. http://dx.doi.org/10.1080/01930826.2012.629967.

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28

Friedland, Robert. "Medicare: Short-Term Answers, Long-Term Questions." Challenge 40, no. 1 (1997): 30–45. http://dx.doi.org/10.1080/05775132.1997.11471949.

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29

Caldicott, C. E. J. "On short-term and long-term memory." Huguenot Society Journal 27, no. 2 (1999): 279–80. http://dx.doi.org/10.3828/huguenot.1999.27.02.279.

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30

De Stefani, Alessia. "Long-Term Debt and Short-Term Rates." IMF Working Papers 2025, no. 024 (2025): 1. https://doi.org/10.5089/9798400296086.001.

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31

Schmid-Hempel, Paul. "Short-term behavior and long-term consequences." Behavioral and Brain Sciences 14, no. 1 (1991): 105–6. http://dx.doi.org/10.1017/s0140525x00065596.

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32

Bárcena-Ruiz, Juan Carlos, and Marı́a Luz Campo. "Short-term or long-term labor contracts." Labour Economics 7, no. 3 (2000): 249–60. http://dx.doi.org/10.1016/s0927-5371(99)00040-8.

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33

Tol, Richard S. J. "Short-term decisions under long-term uncertainty." Energy Economics 20, no. 5-6 (1998): 557–69. http://dx.doi.org/10.1016/s0140-9883(98)00015-2.

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34

Robinson, Silvan. "Short-term influences and long-term fundamentals." Energy Policy 20, no. 10 (1992): 1015–21. http://dx.doi.org/10.1016/0301-4215(92)90189-9.

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35

Lane, Jan-Erik. "From-Long Term To Short-Term Contracting." Public Administration 79, no. 1 (2001): 29–47. http://dx.doi.org/10.1111/1467-9299.00244.

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36

Daniels;, S. R. "Short-Term Trials and Long-Term Effects." Science 293, no. 5539 (2001): 2392–294. http://dx.doi.org/10.1126/science.293.5539.2392.

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37

Maley, Jason H., and Mark E. Mikkelsen. "Short-term Gains with Long-term Consequences." Clinics in Chest Medicine 37, no. 2 (2016): 367–80. http://dx.doi.org/10.1016/j.ccm.2016.01.017.

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38

Jiang, Liang, Zujie Wen, Zhongping Liang, et al. "Long Short-Term Sample Distillation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 4345–52. http://dx.doi.org/10.1609/aaai.v34i04.5859.

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In the past decade, there has been substantial progress at training increasingly deep neural networks. Recent advances within the teacher–student training paradigm have established that information about past training updates show promise as a source of guidance during subsequent training steps. Based on this notion, in this paper, we propose Long Short-Term Sample Distillation, a novel training policy that simultaneously leverages multiple phases of the previous training process to guide the later training updates to a neural network, while efficiently proceeding in just one single generation

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39

Donnelly, John. "Comments: Long vs. Short Term." Journal of Petroleum Technology 68, no. 03 (2016): 12. http://dx.doi.org/10.2118/0316-0012-jpt.

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40

PAPA, MOSHE Z., JACOB SCHNEIDERMAN, EBN TUCKER, ARYEH BASS, YACOV DRORI, and RAPHAEL ADAR. "Short-and Long-term Effects." Annals of Surgery 204, no. 6 (1986): 715–18. http://dx.doi.org/10.1097/00000658-198612000-00016.

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41

Portugal, Pedro, and John T. Addison. "Short- and long-term unemployment." Economics Letters 66, no. 1 (2000): 107–12. http://dx.doi.org/10.1016/s0165-1765(99)00187-1.

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42

Izquierdo, I. "SHORT- AND LONG-TERM MEMORY." Behavioural Pharmacology 9, no. 1 (1998): S46. http://dx.doi.org/10.1097/00008877-199808000-00094.

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43

Izquierdo, I. "SHORT- AND LONG-TERM MEMORY." Behavioural Pharmacology 9, Supplement (1998): S46. http://dx.doi.org/10.1097/00008877-199808001-00094.

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44

Izquierdo, I. "SHORT- AND LONG-TERM MEMORY." Behavioural Pharmacology 9, no. 1 (1998): S46. http://dx.doi.org/10.1097/00008877-199812001-00094.

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45

Watkins, G. C. "Short-and long-term equilibria." Energy Economics 13, no. 1 (1991): 2–9. http://dx.doi.org/10.1016/0140-9883(91)90049-6.

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46

Minton, Kirsty. "Short- and long-term memory." Nature Reviews Immunology 11, no. 3 (2011): 161. http://dx.doi.org/10.1038/nri2951.

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47

Salman, Afan Galih, Yaya Heryadi, Edi Abdurahman, and Wayan Suparta. "Weather Forecasting Using Merged Long Short-term Memory Model." Bulletin of Electrical Engineering and Informatics 7, no. 3 (2018): 377–85. https://doi.org/10.11591/eei.v7i3.1181.

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Over decades, weather forecasting has attracted researchers from worldwide communities due to itssignificant effect to global human life ranging from agriculture, air trafic control to public security. Although formal study on weather forecasting has been started since 19th century, research attention to weather forecasting tasks increased significantly after weather big data are widely available. This paper proposed merged-Long Short-term Memory for forecasting ground visibility at the airpot using timeseries of predictor variable combined with another variable as moderating variable. The pro

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48

S., Kannadas. "Investment behavior of short-term versus long-term individual investors of PAN India – An empirical study." Investment Management and Financial Innovations 18, no. 2 (2021): 223–33. http://dx.doi.org/10.21511/imfi.18(2).2021.18.

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Investment activity, followed by household and external savings, often plays a decisive role in strengthening the financial status of individual investors, as it contributes to further increases in wealth. This study analyzes the investors’ investment motives and actions to find better investment strategies and to do a systematic review of the investment behavior available for both short- and long-term individual investors. The study is mainly focused on factors and priorities influencing investment decisions. The data were obtained using the questionnaire approach from 201 individual investor

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49

Gorajewska, E., A. Filistowicz, S. Nowicki, P. Przysiecki, A. Filistowicz, and K. Czyz. "Hormonal response of Arctic fox females to short- and long-term stress." Veterinární Medicína 60, No. 3 (2016): 147–54. http://dx.doi.org/10.17221/8061-vetmed.

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50

Xiang Xu, Xiang Xu, 李儀 Xiang Xu, and Yi-Fan Wang Yi Li. "Particle Swarm Optimization with Long and Short Term Memory in Feature Selection." 電腦學刊 33, no. 5 (2022): 121–33. http://dx.doi.org/10.53106/199115992022103305011.

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<p>Taking each iteration of Particle swarm optimization (PSO) algorithm as a time node, the change of population in PSO algorithm can be regarded as a time series model. Particle population learns and evolves in multiple time nodes, which can be regarded as a dependent behavior on leader particles. In the traditional particle swarm optimization algorithm, this dependence behavior is independent of time, and its consideration standard is only the fitness value of particles. We deeply study the leadership mechanism of PSO algorithm in order to find a more robust leadership mechanism and im

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