Cognitive impairment at older ages among 8000 men and women living in Mexico City: a cross-sectional analyses of a prospective study by González-Carballo, C, Kuri-Morales, P, Chiquete, E, Rojas-Russell, M, Santacruz-Benitez, R, Ramirez-Reyes, R, Garcilazo-Ávila, A, Berumen, J, Trichia, E, Friedrichs, LG, Orellana, P, Ochoa-Rosales, C, O’Donovan, G, Emberson, JR, Tapia-Conyer, R, Aguilar-Ramirez, D, Alegre-Díaz, J

“…Results: Of the 9,288 participants aged 50–89 years at the 2015–2019 resurvey with complete data, 8,197 reported having at least some years of formal education. Among these (mean age 66 years; 31% men), their mean MMSE score was 26.2 (SD 3.6) points, 1,941 (24%) had cognitive impairment, their mean body-mass index (BMI) was 28.6 (SD 5.5) kg/m2, 3,008 (37%) had hypertension and 2,467 (30%) had diabetes. …”

Genetic relatedness of Candida strains isolated from women with vaginal candidiasis in Malaysia by Chong, Pei Pei, Lee, Yee Lean, Tan, Boon Chong, Ng, Kee Peng

“…The range of mean S AB values for intergroup comparisons for C. albicans isolates alone was 0.50-0.56, suggesting that there was no significant relatedness between strains from different groups. …”

The Impact of Starting Positions and Breathing Rhythms on Cardiopulmonary Stress and Post-Exercise Oxygen Consumption after High-Intensity Metabolic Training: A Randomized Crossove... by Li, Yuanyuan, Wang, Jiarong, Li, Yuanning, Li, Dandan

“…Specifically, exercises initiated from prone positions under regulated breathing recorded a significantly higher maximum and average PHR than those from standing positions (maximum PHR: mean difference = 13.40, p < 0.001; average PHR: mean difference = 6.45, p < 0.001). …”
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Temporal disruption in tuberculosis incidence patterns during COVID-19: a time series analysis in China by Zhang, Jiarui, Sun, Zhong, Deng, Qi, Yu, Yidan, Dian, Xingyue, Luo, Juan, Karuppiah, Thilakavathy, Joseph, Narcisse, He, Guozhong

“…Additionally, we compared the fitting and forecasting performance of the SARIMA, Prophet, and LSTM models using RMSE (root mean squared error), MAE (mean absolute error), and MAPE (mean absolute percentage error) indexes prior to the COVID-19 outbreak. …”
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Electromyography signal processing based on time and time-frequency representations for prosthesis application by Mahdavi, Farzaneh Akhavan

“…Also, the optimizing of wavelet features yielded 97.13% accuracy by applying WT+RMS (Root Mean Square of Wavelet coefficients) as the feature. …”
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The effect of using individual self-guided Breathing controlled with imagery Training among novice and skill athletes by Roslan, Siti Raihanah

“…For SA, the mean score change from 370.00during pre-test to 503.85during post-test. …”
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Supporting insulin initiation in type 2 diabetes in primary care: results of the Stepping Up pragmatic cluster randomised controlled clinical trial by Furler, John, O’Neal, David, Speight, Jane, Manski-Nankervis, Jo-Anne, Gorelik, Alexandra, Holmes-Truscott, Elizabeth, Ginnivan, Louise, Young, Doris, Best, James, Patterson, Elizabeth, Liew, Danny, Segal, Leonie, May, Carl, Blackberry, Irene

“…Participants: 266 patients with type 2 diabetes and 74 practices (mean cluster size 4 (range 1-8) patients), followed up for 12 months. …”
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Portfolio Optimization Using a Hybrid Machine Learning Stock Selection Model by Masuda, Joshua S.

“…After training the models, the algorithm creates an optimal portfolio of assets over a simulated year of trading. The symmetric mean absolute percentage error of the algorithms on unseen data evaluates the prediction power. …”
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Bubble size measurement algorithm for optical fiber probe measurement. by Lim, Tat Kuan.

“…Comparisons were made based on horizontal bubble diameter distribution and the corresponding mean horizontal bubble diameter and most probable horizontal diameter. …”
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Investigating the relationship between speaking fundamental frequency and acoustic vowel space size by Tseng, Felicia Hui Juan

“…The present study investigates a potential relationship between mean speaker f0 and acoustic vowel space size as defined by the first two vowel formants. …”
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Forecasting Singapore’s pharmaceutical industry using time series models. by Lee, Kai Wee., Simandjuntak, Daniel Perdana., Zhuo, Yaohong.

“…In-sample and out-of-sample forecasts were generated using the recursive estimation method and were evaluated based on the root mean square error (RMSE) of their forecasts. The results showed that the ARIMA (2,1,1) with its 1st autoregressive lag removed produced the best forecast using the Diebold-Mariano Statistic with root mean square error as its criterion. …”
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The effect of nonlinear pedagogical principles on herding behaviour in a modified football game by Lee, Wei Jie

“…It is hypothesised that the NP interventions would lead to an increased mean SI and TC distance in a modified football game. …”
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Wave-induced longitudinal vortices in a shallow current by Huang, Zhenhua, Mei, Chiang C.

“…We shall show that in addition to the internal vortex force, a mean shear stress exists on the mean sea level, owing to nonlinear wave–current interactions, despite the absence of wind. …”
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Diving behaviour of benthic feeding Black Guillemots by Shoji, A, Elliott, KH, Greenwood, JG, McClean, L, Leonard, K, Perrins, CM, Fayet, A, Guilford, T

“…Dive durations (max = 90 s; mean = 54 s) were shorter and dive depths (max = 15 m; mean = 9 m) were shallower than recorded for guillemots elsewhere. …”

Forecasting green sea turtle (Chelonia mydas) landing in Sarawak using grey model by Abang Mohammad Hudzaifah Abang Shakawi, Ani Shabri, Ruhana Hassan

“…Using data from 1949 to 2016, GM (1,1) was found to be the most suitable model for the given dataset, exhibiting the lowest Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) as compared to other statistical models such as Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM) and Exponential Smoothing. …”
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Studies on Acacia mangium in Kemasul Forest, Malaysia. I. Biomass and productivity by Lim, Meng Tsai

“…The above-ground biomass, litter production and litter accumulation in a four-year-old stand m Peninsular Malaysia were studied. The mean diameter at breast height (dbh) was 12 cm. The mean annual increment (MAI) m dbh of individual trees ranged from 0.9 to 5.1 cm while MAI in height of sample trees ranged from 2.9 to 5.5 m. …”

Preliminary survey on critical cost overrun factors in the construction industry of Pakistan by Ahmed Abbasi, Suhail, Abas, Nor Haslinda, Sohu, Samiullah

“…Data was collected and analysed using mean score analysis. Based on mean scores critical cost overrun factors are schedule delay, financial difficulties faced by contractor, fluctuation in price of materials, poor site management, poor contract management, inadequate planning, fraudulent practices and kickbacks, frequent design changes, change in scope of project. …”
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Hydrodynamic forces on a side-by-side ellipse pair with and without relative motion by Rhodes, Preston, van Rees, Wim M.

“…Mean lift forces during the overtaking manoeuvre are repulsive for both bodies; as the speed difference increases, the repulsive force increases on the overtaken body and decreases on the overtaking body. …”
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An autonomous vehicle simulation study : the misunderstood impact of a night driving environment on takeover performance by Lee, Lennell

“…The measures of driving performance examined include the mean takeover time, collision rate and takeover quality. …”
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Divine intervention in decisions : an adaptive function of religious belief by Lim, Alexander Yao

“…Religiosity did not predict moral (p = .16, R2 = .02) or non-moral decision time (p = .94, R2 = .00); however, individuals grouped higher in religiosity (MEAN, N = 48) were found to make moral decisions more quickly than individuals grouped lower in religiosity (MEAN, N = 36) (t(49.95) = -2.11, p = .04). …”
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