Experimental investigation of fatigue in a cantilever energy harvesting beam by Avvari, Panduranga Vittal, Yang, Yaowen, Liu, Peiwen, Soh, Chee Kiong

“…The claim is further supported using the variation of root mean square deviation (RMSD) of the real part of admittance (conductance) readings. …”
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Ge nanocrystals in lanthanide-based Lu2O3 high-k dielectric for nonvolatile memory applications by Seng, H. L., Ho, V., Chan, Mei Yin, Lee, Pooi See

“…The annealing treatment significantly enhanced the nucleation of Ge nanocrystals, resulting in a high areal density of 7 x10^11 cm−2 Ge nanocrystals with a mean size of about 6 nm in diameter in the amorphous Lu2O3 matrix. …”
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Evaluation of a pilot family planning educational seminar and subsequent attitudes towards family planning among Muslim communities in Tanzania by Cordeiro, AA, Gumanneh, H, Nzali, A, Lambert, VJ, Yussuph, A, Kihunrwa, A, Mchondo, Y, Mtita, R, Yahaya, H, Kalluvya, SE, Wamoyi, J, Suleman, M, Downs, JA, Mwakisole, AH

“…Participants rated the seminar as highly acceptable, appropriate, and feasible, with mean scores above 4.5 out of 5 for every statement. …”

FedCBO: reaching group consensus in clustered Federated learning through Consensus-Based Optimization by Carrillo, JA, Trillos, NG, Li, S, Zhu, Y

“…Our model is motivated by rigorous mathematical reasoning, including a mean field analysis describing the large number of particles limit of our particle system, as well as convergence guarantees for the simultaneous global optimization of general non-convex objective functions (corresponding to the loss functions of each cluster of users) in the mean-field regime. …”

State-space-varied moving horizon estimation for real-time PPP in the challenging low-cost antenna and chipset by Liu, Peng, Ling, Keck Voon, Qin, Honglei, Lu, Jun

“…As to the mean accuracy, there is a 9.8% increase, while to the mean precision, the increase, which is relatively larger, is 28.7%. …”
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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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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. …”

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

“…To reach this goal, different techniques in two domains of study, time and time-frequency, had been utilized to find the optimum features for EMG analysis. Mean Absolute Value (MAV), Root Mean Square (RMS), Zero Crossing (ZC) and Waveform Length (WL) were employed as feature extraction techniques in time domain and Wavelet Transform (WT) was used in time-frequency domain. …”
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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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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. …”

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 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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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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Counter-checking uncertainty calculations in Bayesian operational modal analysis with EM techniques by Ma, Xinda, Au, Siu-Kui

“…Motivated by these, this work explores an identity in the theory of Expectation-Maximisation (EM) algorithm to provide an alternative means for evaluating the Hessian of NLLF. Such identity allows one to evaluate the Hessian by means of Monte Carlo simulation, averaging over random samples of hidden variables. …”
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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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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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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. …”