Cost performace of road construction projects in Nigeria by Aligamhe, Victor Imohnikhe, Mustapa, Muzani, Patrick Ogbu, Chukwuemeka

“…Further, findings revealed that Nigeria’s federal highway projects have a mean cost overrun of 31.36%, and the probability of cost occurrence is 94.14%. …”
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Statistical modeling reveals the effect of absolute humidity on dengue in Singapore by Xu, Hai-Yan, Fu, Xiuju, Lee, Lionel Kim Hock, Ma, Stefan, Goh, Kee Tai, Wong, Jiancheng, Habibullah, Mohamed Salahuddin, Lee, Gary Kee Khoon, Lim, Tian Kuay, Tambyah, Paul Anantharajah, Lim, Chin Leong, Ng, Lee Ching

“…From the correlation and DLNM regression modeling analyses of the studied period, AH was found to be a better predictor for modeling dengue incidence than the other unique weather variables. Whilst mean temperature (MeanT) also showed significant correlation with dengue incidence, the relationship between AH or MeanT and dengue incidence, however, varied in the three sub-periods. …”
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On the design of capacity-approaching error-correction codes for multi constrained systems by Zhang, Jiayu

“…A convergence to local optimum is guaranteed by the mean shift algorithm, which overcomes the limitations in greedy algorithms. …”
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Mendelian Randomization analysis of the causal effect of cigarette smoking on hospital costs by Dixon, P, Sallis, H, Munafo, M, Davey Smith, G, Howe, L

“…We followed individuals up for a mean of six years.</p> <br> <p><strong>RESULTS:</strong> Genetic liability to initiate smoking (ever versus never smoking) was estimated to increase mean per-patient annual inpatient hospital costs by £477 (95% confidence interval (CI): £187 to £766). …”

Assessment of knowledge, attitude and practice towards athritis among nursing students in Universiti Sains Malaysia by Yunus, Nurmutiah Mohd

“…The level of knowledge in this study showed that more participants experienced a high level of knowledge, with a mean score of 8.62 (SD = 2.36, range = 0–12). Besides, in this study mostly showed a high level of attitude, with a mean score of 22.14 (SD = 4.6, range = 0–24). …”
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Assessment Of Knowledge, Attitude And Practices Towards Arthritis Among Nursing Students In Universiti Sains Malaysia by Yunus, Nurmutiah Mohd

“…The level of knowledge in this study showed that more participants experienced a high level of knowledge, with a mean score of 8.62 (SD = 2.36, range = 0–12). Besides, in this study mostly showed a high level of attitude, with a mean score of 22.14 (SD = 4.6, range = 0–24). …”
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Review and empirical analysis of machine learning-based software effort estimation by Rahman, Mizanur, Sarwar, Hasan, Abdul Kader, Md, Goncalves, Teresa C.F., Ting, Tin Tin

“…The performance of these techniques was evaluated using five widely adopted accuracy metrics: Mean Squared Error (MSE), Mean Magnitude of Relative Error (MMRE), R-squared, Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). …”
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Lithological controls of the Mg isotope composition of the Lena River across seasons and its impact on the annual isotope flux to the Arctic Ocean by Mavromatis, V, Porcelli, D, Andersson, PS, Korets, MA, Pokrovsky, OS

“…This allows cost-effective assessment of mean riverine isotopic signatures of other elements in both small and large rivers to the Arctic Ocean.…”

Development of SX chart for quality control by Ng, Charmaine Xue Ming.

“…The performance of the charts is compared over a range of process mean shifts, and for three different specified values of minimum allowable ATS0 (average time a false alarm is signalled). …”
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Distributed local linear parameter estimation using gaussian SPAWN by Leng, Mei, Tay, Wee Peng, Quek, Tony Q. S., Shin, Hyundong

“…We show that gSPAWN converges in mean and has mean-square stability under some technical sufficient conditions, and we describe an application of gSPAWN to a network localization problem in non-line-of-sight environments. …”
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Pedestrian heading estimation based on spatial transformer networks and hierarchical LSTM by Wang, Qu, Luo, Haiyong, Ye, Langlang, Men, Aidong, Zhao, Fang, Huang, Yan, Ou, Changhai

“…The experimental results on real-world demonstrated that deepheading outperformed the compared heading estimation algorithms and achieved promising estimation accuracy with a median heading error of 4.52°, mean heading error of 6.07° and heading error of 9.18° at the confidence of 80% when a pedestrian is walking in indoor environments with magnetic field disturbances. …”
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Long term surface deformation of Soufrière Hills volcano, Montserrat from GPS geodesy : inferences from simple elastic inverse models by Herd, Richard A., Strutt, Michael H., Ryan, Graham., Widiwijayanti, Christina., Voight, Barry., Mattioli, Glen.

“…The average best-fitting single Mogi model yields X = 0.3 ± 0.5 km, Y = 0.8 ± 0.4 km, and a depth of Z = 10.4 ± 2.1 km (1-σ, Z positive down), relative to the center of the model domain. The mean Mogi depth for effusive (deflation) versus repose (inflation) is different and significant at >90% confidence, yielding Z = 11.4 ± 2.0 km and 9.3 ± 1.6 km, respectively. …”
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Dataset for 'Quantitative CEST Imaging of Amide Proton Transfer in Acute Stroke': MAT files for figures of quantitative results by Msayib, Y

“…<br><br> 'fig_2a.mat': contains two matrices, fig_2a_means and fig_2a_errorbars. The dimensions of each matrix correspond to [subjects 1-6, group mean][3 pools, 4 pools] <br><br> 'fig_2b.mat': structure of matrices is [grey matter, white matter][3 pools, 4 pools] <br><br> 'fig_2c.mat': structure of matrices is [whole slice, grey matter, white matter][ischaemic core, infarct growth, oligaemia][3 pools, 4 pools] <br><br> 'fig_4.mat': structure of vector is [techniques 1-6] <br><br> 'fig_5a.mat': structure of matrix is [techniques][patient contralateral, healthy tissue] <br><br> 'fig_6.mat': structure of vector is [techniques 1-6] <br><br> 'fig_7.mat': vectors are named in the format Mz&lt;3/4&gt;, so, for example, the water magnetisation vector (Mz) for the semisolid pool using 4 pool analysis is Mzss4. …”

The near wake of a sinusoidal wavy cylinder with a large spanwise wavelength using time-resolved particle image velocimetry by Bai, H. L., Zang, B., New, Tze How

“…Flow structures are documented in detail, in terms of time-mean flows, Reynolds stresses, and dominant structures. …”
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Kalman filtering with scheduled measurements - part I : estimation framework by You, Keyou, Xie, Lihua

“…Moreover, necessary and sufficient conditions for stability of the mean square estimation error are provided.…”
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Aquatic and benthic bacteria responses to feed and fertiliser application in trials with the freshwater prawn, Macrobrachium rosenbergii (de Man) by MacLean, M.H., Ang, K.J., Brown, J.H., Jauncey, K.

“…Differences in bacterial abundance and mean cell size were evident between treatments. The discussion considers the importance of bacterial productivity and food web dynamics. © 1994.…”
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A study on the application of discrete curvature feature extraction and optimization algorithms to battery health estimation by Goh, Hui Hwang, An, Zhen, Zhang, Dongdong, Dai, Wei, Kurniawan, Tonni Agustiono, Goh, Kai Chen

“…The error evaluation metrics used are mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE). …”
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Application of nanobubbles in floating kinetics models for efficient oil removal from produced water by Daud, M F C, Khamidun, M H, Mohamed, R M S R, Ali, U F M, Razi, M A M

“…Statistical analyses were performed, considering parameters such as coefficient of determination (R2), root mean squared error (RMSE), mean absolute percentage error (MAPE), and mean absolute deviation (MAD). …”
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Knowledge, attitude and practice in burn first aid among nursing student at school of health sciences, Universiti Sains Malaysia by Munir, Muhammad Shafiq

“…The mean attitude score was 3.464, with 83 respondents (49.4%) showing a favourable attitude, while the mean practice score was 0.652, with 83 respondents (49.4%) displaying poor practice. …”
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The fine line between jianli guanxi and la guanxi. by Loh, Wan Fong.

“…Participants were 12 Taiwanese males (mean age = 43.7) and 23 Taiwanese females (mean age = 36.3) from various occupations and socioeconomic backgrounds. …”
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