Resilience among Universiti Sains Malaysia nursing students by Ali, Noorsyafawani Mohamed

“…For state resilience, 81 (46.6%%) of the nursing students have a very high level of state resilience and only 1 (0.6%) have low state resilience. The mean trait resilience score was 66.07 (SD: 11.7) and the mean state resilience score was 59.24 (SD: 9.3). …”
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HIV-related knowledge and stigma towards people living with hiv among community in Tawau, Sabah by Sudarman, Abdul Halim

“…Data were analysed with descriptive statistics and Pearson Correlation test by using Statistical Package Social Science (SPSS) version 27.0 software. The mean for level of knowledge in this study is 11.27 (SD 3.93) and the mean for level of stigma in this study is 9.96 (SD 2.50). …”
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Enhanced air quality index prediction using a hybrid convolutional network by Pei-Chun Lin, Pei-Chun Lin, Arbaiy, Nureize, Yu, Chen-Yu, Mohd Salikon, Mohd Zaki

“…The results demonstrated the lowest Mean Absolute Error (MAE) of approximately 4.78 and the lowest Root Mean Square Error (RMSE) of approximately 6.67. …”
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Statistical analysis on students’ evaluation and students’ final exam marks in undergraduate Mathematical courses at Universiti Teknologi Malaysia by Abd. Rahman, Haliza, Mohd. Khalid, Zarina, Mohamed Ismail, Noraslinda, Kamisan, Nur Arina Bazilah, Siti Mariam Norrulashikin, Siti Mariam Norrulashikin, Mohd. Nor, Siti Rohani, Shabri, Ani, Hamdan, Muhammad Fauzee

“…This paper aims to determine whether the subject’s mean marks and lecturer’s evaluation (e-PPP) marks differs significantly between the online and face to face teaching method. …”
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Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology by Gould, E, Fraser, HS, Parker, TH, Nakagawa, S, Griffith, SC, Vesk, PA, Fidler, F, Hamilton, DG, Abbey-Lee, RN, Abbott, JK, Aguirre, LA, Alcaraz, C, Aloni, I, Altschul, D, Arekar, K, Atkins, JW, Atkinson, J, Baker, CM, Barrett, M, Bell, K, Bello, SK, Beltrán, I, Berauer, BJ, Bertram, MG, Wood, A

“…For both datasets, we found substantial variation in the variable selection and random effects structures among analyses, as well as in the ratings of the analytical methods by peer reviewers, but we found no strong relationship between any of these and deviation from the meta-analytic mean. In other words, analyses with results that were far from the mean were no more or less likely to have dissimilar variable sets, use random effects in their models, or receive poor peer reviews than those analyses that found results that were close to the mean. …”

Cardiovascular risk factors in childhood and adulthood and cardiovascular disease in Middle Age by Kartiosuo, N, Raitakari, OT, Juonala, M, Viikari, JSA, Sinaiko, AR, Venn, AJ, Jacobs, DR, Urbina, EM, Woo, JG, Steinberger, J, Bazzano, LA, Daniels, SR, Magnussen, CG, Rahimi, K, Dwyer, T

“…The mean (SD) age at CVD event or censoring was 49.2 (7.0) years. …”

Predicting the unpredictable: Trump's foreign policy 2.0 by Anderson, Lawrence

“…However, doubts remain over his unstable and unpredictable disposition and what this will mean for US foreign policy.…”
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Option pricing under stochastic volatility model. by Lim, Hak Min., Lim, Gerald Kim Meng., Yeo, Yew Teck.

“…In this paper, we examine the stochastic volatility model of Schobel and Zhu (1999) where volatility follows a mean-reverting Ornstein-Uhlenbeck process. This is basically an extension of the Stein and Stein model (1991) but which allows for correlation between instantaneous volatilities and spot returns.…”
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Fairness-Enhancing Deep Learning for Ride-Hailing Demand Prediction by Zheng, Yunhan, Wang, Qingyi, Zhuang, Dingyi, Wang, Shenhao, Zhao, Jinhua

“…Notably, the SA-Net exhibits a significant improvement in prediction accuracy, reducing 2.3% in Mean Absolute Error (MAE) compared to state-of-the-art models. …”
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Machine learning approaches reveal highly heterogeneous air quality co-benefits of the energy transition by Zhang, Da, Wang, Qingyi, Song, Shaojie, Chen, Simiao, Li, Mingwei, Shen, Lu, Zheng, Siqi, Cai, Bofeng, Wang, Shenhao, Zheng, Haotian

“…Reducing rural and residential coal use offers the highest co-benefits with a mean of $151/tCO2. Our findings prompt careful policy designs to maximize cost-effectiveness in the transition toward a carbon-neutral energy system.…”
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Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network by Asif, M. T., Oran, A., Fathi, E., Xu, M., Dhanya, M. M., Mitrovic, N., Jaillet, P., Dauwels, Justin, Goh, Chong Yang

“…The traditional performance measures such as mean absolute percentage error (MAPE) and root mean square error (RMSE) provide little insight into spatial and temporal characteristics of prediction methods for a large network. …”
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Comparison of multiple random walks strategies for searching networks by Zheng, Zhongtuan, Wang, Hanxing, Gao, Shengguo, Wang, Guoqiang

“…We analyze the first passage time (FPT) of wandering walkers of MRW and give the corresponding formulas of probability distributions and moments, and the mean first passage time (MFPT) is included. We show the convergence of the MFPT of the first arriving walker and find the MFPT of the last arriving walker closely related with the mean cover time. …”
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Does testing order affect performance and outcome during physical fitness tests? by Low, Seow Ting

“…Mean difference between SNR distance before (38.90 ± 7.25) and after (38.28 ± 7.76) SBJ was also not significant (p >.05). …”
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Effect of polydispersity on bubble characteristics of Geldart Group B particles by Chew, Jia Wei, Cocco, Ray A.

“…The PSDs had the same Sauter-mean diameter and widths (i.e., ratio of standard deviation to Sauter-mean diameter) of between 10 and 30% and 10 – 70%, respectively. …”
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HVAC visualization system by Pee, See Er

“…The primary factors consist of air temperature, air velocity, humidity; mean radiant temperature, metabolic rate and clothing insulation on overall human satisfaction. …”
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Opinion based intelligent recommender system by Adjikusuma, Sentosa

“…The experiment on Amazon 5-core dataset shown improvement of performance, in terms of root mean square error (RMSE) and mean absolute error (MAE), of all algorithms when sentiment information is considered. …”
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Dynamic characterization of MEMS diaphragm using time averaged in-line digital holography by Miao, Jianmin, Singh, Vijay Raj, Wang, Zhihong, Hegde, Gopalkrishna M., Anand, Asundi

“…Particularly the effect of mean static state on the phase in time averaged digital holography is explored. …”
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Spatial and temporal variability of pore-water pressures in residual soil slopes in a tropical climate by Rahardjo, Harianto, Leong, Eng Choon, Rezaur, R. B.

“…Parameters of the semivariograms, namely the range, sill and nugget effect, revealed interesting insights into the spatial structure of the temporal situation of pore-water pressures in the slopes. While informative, mean estimates have been shown to be inadequate for modelling purposes, indicator semivariograms together with mean prediction by kriging provide a better form of model input. …”
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Changes in cardiorespiratory fitness following exercise training prescribed relative to traditional intensity anchors and physiological thresholds: a systematic review with meta-an... by Meyler, Samuel J. R., Swinton, Paul A., Bottoms, Lindsay, Dalleck, Lance C., Hunter, Ben, Sarzynski, Mark A., Wellsted, David, Williams, Camilla J., Muniz-Pumares, Daniel

“…Results In controlled studies, mean O2max change was greater in the THR group compar…”
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Efgartigimod efficacy and safety in refractory myasthenia gravis: UK’s first real-world experience by Moniz Dionísio, J, Ambrose, P, Burke, G, Farrugia, ME, Garcia-Reitboeck, P, Hewamadduma, C, Hill, M, Howard, RS, Jacob, S, Kullmann, D, Leite, MI, Miller, J, Pinto, A, Pritchard, J, Riswick, T, Sathasivam, S, Thambirajah, N, Viegas, S, Norwood, F, Spillane, J

“…The mean intracycle reduction in the MG-ADL score in the first, second, third and fourth cycles were −4.6 to –3.9, −3.4 and −4.2, respectively. …”