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  1. 1181

    Proxy caching algorithm based on segment popularity for mobile streaming media by YANG Ge1, LIAO Jian-xin1, ZHU Xiao-min1, YANG Bo1, HUANG Hai1

    Published 2007-01-01
    “…A novel dynamic scheduling algorithm P2CAS2M2(proxy caching algorithm based on segment popularity for mobile streaming media)based on segment popularity for mobile streaming media was proposed.Proxy caching admis-sion and replacement algorithm based on the object segment popularity for mobile streaming media was implemented.The principle was obeyed that the data cached for each mobile streaming media object were in proportion to their popu-larity at the proxy server.The cache window size was updated periodically according to the average access time of the clients.Simulation results show that this algorithm is more adaptive than A2LS(adaptive and lazy segmentation algorithm) for the variety of the proxy server cache.It can gain more average number of cached mobile streaming media objects and less delayed requested ratio while byte-hit ratio of P2CAS2M2 is close to or exceeds A2LS under the circumstance of the same proxy cache space.…”
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  2. 1182

    Effect of Outreach on Financial Sustainability and Profitability of Saving and Credit Cooperatives in Eastern Ethiopia by Mekonnen Yitayaw

    Published 2020-06-01
    “…Random effect model results show that gross loan to asset ratio, yield on gross loan portfolio, managerial and operational efficiency has statistically significant and positive effect on the financial sustainability of SACCOs, while average loan size has statistically significant but negative effect. …”
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  3. 1183

    Real-time recognition of spraying area for UAV sprayers using a deep learning approach. by Shahbaz Khan, Muhammad Tufail, Muhammad Tahir Khan, Zubair Ahmad Khan, Javaid Iqbal, Arsalan Wasim

    Published 2021-01-01
    “…The developed deep learning system achieved an average F1 score of 0.955, while the classifier recognition average computation time was 3.68 ms. …”
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  4. 1184

    Smoothing Strategies Combined with ARIMA and Neural Networks to Improve the Forecasting of Traffic Accidents by Lida Barba, Nibaldo Rodríguez, Cecilia Montt

    Published 2014-01-01
    “…Two smoothing strategies combined with autoregressive integrated moving average (ARIMA) and autoregressive neural networks (ANNs) models to improve the forecasting of time series are presented. …”
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  5. 1185

    PERBANDINGAN KLASIFIKASI ALGORITMA C5.0 DENGAN CLASSIFICATION AND REGRESSION TREE (STUDI KASUS: DATA SOSIAL KEPALA KELUARGA MASYARAKAT DESA TELUK BARU KECAMATAN MUARA ANCALONG TAH... by Reni Pratiwi, Memi Nor Hayati, Surya Prangga

    Published 2020-06-01
    “…After analyzing the results obtained that the accuracy rate of C5.0 algorithm is 79,17% while the accuracy rate of CART is 84,63%. So it can be said that the CART method is a better method in classifying the average income of the people of Teluk Baru Village in Muara Ancalong District in 2019 compared to the C5.0 algorithm method…”
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  6. 1186

    MACROECONOMIC AND MARKET DETERMINANTS OF INTEREST RATE SPREAD: EVIDENCE FROM ALBANIA by Brunilda NELI

    Published 2015-12-01
    “…The most common indicator for the efficiency of the banking system is the cost of intermediation, measured by the spread of interest rates (the difference between the average lending rate and the average deposit rate). …”
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  7. 1187

    Scottish softwood biochar for water remediation targeting selected persistent organic pollutants by Mohammad Umair Jamal, Ashleigh Fletcher, Alan Baby, Isaac Maso, Lidija Šiller

    Published 2024-05-01
    “…The biochar had an average point of zero charge of 7.44 ± 0.2. 3,4-Dichloroaniline kinetic rates were rapid (<5 min), restricting kinetic analysis, while a pseudo-second-order kinetic model was best suited to represent the kinetic data for acetaminophen and carbamazepine, suggesting chemical control. …”
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  8. 1188

    TUBERCULOSIS INCIDENCE IN SAMARA REGION by R. S. Kuznetsova

    Published 2018-01-01
    “…According to the performed analysis, tuberculosis incidence was growing in Samara Region, while in theRussian Federation the average rate was going down. …”
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  9. 1189

    Carbohydrate Mouth Rinse Effects on Exercise Capacity in Pre- and Postprandial States by Elie-J. M. Fares, Bengt Kayser

    Published 2011-01-01
    “…This was accompanied by reductions in the average and maximal rates of perceived exertion but no change in average or maximal heart rate was observed. …”
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  10. 1190

    Prediction after a Horizon of Predictability: Nonpredictable Points and Partial Multistep Prediction for Chaotic Time Series by Vasilii A. Gromov, Philip S. Baranov

    Published 2023-01-01
    “…The results obtained for the benchmark and real-world time series indicate that while typically the number of nonpredictable points tends to grow exponentially with the number of steps ahead to be predicted, the average error for predicted points remains small and nearly constant. …”
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  11. 1191

    Geometric Construction of Eighth-Order Optimal Families of Ostrowski’s Method by Ramandeep Behl, S. S. Motsa

    Published 2015-01-01
    “…Its geometric construction consists in approximating fn′ at zn in such a way that its average with the known tangent slopes fn′ at xn and yn is the same as the known weighted average of secant slopes and then we apply weight function approach. …”
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  12. 1192

    Laughter on Social Media Twitter: The Influence of Different Types of Humor on Positive Emotions in Generation Z by Utami Suhariningsih, Siti Rohmah Nurhayati

    Published 2024-12-01
    “…Sarcasm text had the most significant impact, achieving the highest average value of 68.77, while entertainment meme featured the least influence, with the lowest average value of 59.66. …”
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  13. 1193

    PEMBELAJARAN ARIAS DENGAN SETTING KOOPERATIF DALAM PEMBELAJARAN GEOMETRI ANALITIK BIDANG by Murni Sulistyaningsih, Navel Oktaviandy Mangelep

    Published 2020-05-01
    “…Data obtained through the results of the test form description. Obtained the average results of student learning outcomes using this learning model is 82 with a maximum value of 95, while the results of inferential statistical analysis obtained results t_hitung= 12,3494 > t_tabel=1,708, with a real level (âˆ) = 0.05. …”
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  14. 1194

    Differences in motor abilities between blind students and students without visual impairment by Ivana Zečević, Danijela Ilić-Stošović, Аleksandra Grbović

    Published 2023-12-01
    “…The analysis of the results revealed that the motor abilities development of blind students was significantly below average, while students without visual impairments showed an average level of motor abilities development. …”
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  15. 1195

    Estimation of the Nitrite Concentration in the Raw Milk and Locally Produced Soft Cheese in Different Area of Baghdad, Iraq by Mahdi Abed Rabba Al-Shuwaili, Zina Saab Khudhir

    Published 2022-06-01
    “…The levels of nitrite in the samples of raw milk were (0.5-1.5 mg/L) with average (0.9 ± 0.4 mg/L), while the concentrations were (0.8-2.3 g/kg) in the soft cheese samples with average (1.4 ± 0.4 g/kg). …”
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  16. 1196

    A deep learning framework for prediction of crop yield in Australia under the impact of climate change by Haydar Demirhan

    Published 2025-03-01
    “…However, it is possible to keep crop yields rising while mitigating climate change.…”
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  17. 1197

    Impact of Climate Change on Potential Planting Areas of Rubber Trees in Yunnan by Lu Weikun, Li Meng, Hu Xueqiong, Li Xiang

    Published 2023-05-01
    “…In January, the average temperature in most areas of the main rubber producing counties in the east of the Ailao Mountain increases by 0-1.0℃, while that in the west increases by 1.0-2.0℃ in the 2010s compared with the 1980s. …”
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  18. 1198

    The Potential Role of Surprisal in Predicting Pronunciation Problems in L2 English Phonology by Monika Pukli

    Published 2020-12-01
    “…Results show that speakers do make mistakes in very high surprisal words but not systematically, while very low surprisal words are rarely mispronounced. …”
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  19. 1199

    Application of Hybrid Algorithm with Large Data in Wind Farm Modeling by GUO Min, ZHAO Qiao-e, GAO Jin-cheng, ZHOU Bin-long

    Published 2019-02-01
    “…The results showed that the comparative method (traditional method, K-means, PSO-K-means) the average error is 46.29%, 1858% and 17.30% respectively, while the average error of IPSO-K-means is 14.11%. …”
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  20. 1200

    Compression and Decompression of Audio Files Using the Arithmetic Coding Method by Parasian D. P Silitonga, Irene Sri Morina

    Published 2019-05-01
    “…The wave file compression ratio obtained in this study was 16.12 percent with an average compression process time of 45.89 seconds, while the average decompression time was 0.32 seconds.…”
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