Knowledge of maggot debridement therapy among medical and surgical nurses in Hospital USM, Kelantan by Khim, Wong Mong

“…The study population were described by descriptive statistics (means, standard deviations, frequencies and percentages). …”
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Detection and Measurement System for Button Mushrooms Using Convolutional Neural Network by Yong, Lio Wei, Ambar, Radzi, Abd Wahab, Mohd Helmy, Abd Jamil, Muhammad Mahadi, Choon, Chew Chang

“…The model with 2000 iterations demonstrated the most effective performance based on Recall, Precision, F1-score, Time and Mean Average Precision metrics. The model was used in a small-scale experimental setup to evaluate the button mushroom detection and measurement system’s performance. …”
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Human detection in search and rescue operations using embedded artificial intelligence by Ahmad, Mohd. Ridzuan, Al-Azzani, Ahmed Abdullah Hussein

“…The paper proposes using transfer learning to develop a human detection model with a mean average precision (mAP@0.5) above 90% and compares two deep learning models, MobileNet v2 and EfficientDet. …”
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Extreme learning machines for feature learning by Liyanaarachchi Lekamalage, Chamara Kasun

“…For dimension reduction the efficacy of linear ELM-AE, non-linear ELM-AE, linear SELM-AE, and non-linear SELM-AE is compared with PCA, Non-negative Matrix Factorization (NMF), and Tied weight Auto-Encoder (TAE) in terms of discriminative capability, sparsity, Normalized Mean Square Error (NMSE), and training time. …”
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Sway control of a tower crane with varying cable length using input shaping by Haszuraidah, Ishak, Zaharuddin, Mohamed, Fasih, S.M., Bello, M.M., Reza Ezuan, Samin, Adebayo, B.W.

“…The effectiveness of these shapers is evaluated through criteria such as maximum oscillation and reduction of mean squared error (MSE) for overall oscillations. …”
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Daily allocation of energy consumption forecasting of a power distribution company using optimized least squares support vector machine by Ahmed, Marzia, Mohd Herwan, Sulaiman, Hassan, Md Maruf, Rahaman, Md Atikur, Mohammad, Amin

“…The optimized LSSVM hyper-parameters, specifically the regularization parameter (γ) and the kernel parameter (σ2), were applied to test data to enhance accuracy guided by the Mean Absolute Prediction Error (MAPE), ensuring precise alignment of forecasted values with actual energy consumption data. …”
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EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation by Kyu, Alexander, Mao, Hongyu, Zhu, Junyi, Goel, Mayank, Ahuja, Karan

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Model reduction and stochastic analysis of the histone modification circuit by Bruno, Simone, Williams, Ruth J., Del Vecchio, Domitilla

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Characterizing Speech Motor Pattern in Minimally Verbal Adults with Autism Spectrum Disorder via Surface Electromyography by Protyasha, Nishat Fahmida

“…Features such as Root Mean Square (RMS) values, Pearson correlation coefficients, and eigenvalues from auto and cross correlation matrices were extracted to measure muscle activation and coordination complexity. …”
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Hofstadter Physics and Composite Fermionic Phase in Moiré Systems by Ding, Shuhan

“…We extend Jain’s composite fermion theory and the Chern-Simons field theory to Moiré TMD systems, proposing the existence of an anomalous composite fermion liquid state at half-filling. Through a detailed mean-field analysis, we demonstrate that this state, characterized by a strong valley polarization and an effective magnetic field arising from Berry curvature, could be energetically favored under certain conditions. …”
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Multiphase Polarization in Ion‐Intercalation Nanofilms: General Theory Including Various Surface Effects and Memory Applications by Tian, Huanhuan, Li, Ju, Bazant, Martin Z

“…It is found that the switching performance can be improved significantly by manipulating surface conditions and mean concentration. Finally, the prospects of MP‐based memories and possible extensions of the current model is discussed.…”
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The flexible urban grid: adaptation, expansion and evolution in Philadelphia's city block morphology by Ryan, Brent D., Wang, Elaine

“…Both expansions reduced 1683 block depths to permit additional east- west circulation and to increase developable block frontage. Mean block depths of 666 ft in the Penn grid were reduced to 383 ft in the adapted grid, to 328 ft (south) and 393 ft (north) in the unplanned expansion grid, and to 422 ft (south) and 534 ft (north) in the planned expansion grid. …”
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Tropical Pacific SST and ITCZ biases in climate models : double trouble for future rainfall projections? by Samanta, Dhrubajyoti, Karnauskas, Kristopher B., Goodkin, Nathalie F.

“…A linear regression model is used to demonstrate that improved predictability of precipitation trends is possible with such model‐dependent information as mean‐state SST biases accompanying projected SST trends. …”
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Financial time series forecasting using twin support vector regression by Gupta, Deepak, Pratama, Mahardhika, Ma, Zhenyuan, Li, Jun, Prasad, Mukesh

“…Further, to test the accuracy of the prediction of the time series, the root mean squared error and the standard deviation are computed, which clearly indicate the usefulness and applicability of the proposed method. …”
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Wireless Sensor Network for Internet of Things Facility Management (IoT-FM) environment sensing by Guan, Jun Liang

“…Also, PM2.5 had a better K-means clustering and silhouette coefficient of 0.627. …”
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Are the innovation processes in seaport terminal operations successful? by Acciaro, Michele, Ferrari, Claudio, Lam, Jasmine Siu Lee, Macario, Rosario, Roumboutsos, Athena, Sys, Christa, Tei, Alessio, Vanelslander, Thierry

“…This may be due to the lack of cooperative interactions among the several players involved. It does not mean that innovation does not occur in this industry. …”
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Structural analysis of protein tyrosine phosphatase 1B reveals potentially druggable allosteric binding sites by Kumar, Ammu Prasanna, Nguyen, Minh Nhan, Verma, Chandra, Lukman, Suryani

“…Utilizing clustering methods (based on root mean square deviation, principal component analysis, nonnegative matrix factorization, and independent component analysis), we have examined multiple PTP1B structures. …”
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Attachment style, COVID-19, and impression formation : how individual differences and external experiences influence the Halo effect by Lim, Yun Yee

“…Participants (N = 289, Mean Age = 29.0 ± 12.0) rated the aesthetic appreciation and trustworthiness of a series of ninety-six faces (N = 96) before and after watching a priming video demonstrating social interaction, social distancing, or a neutral condition. …”
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Gender-based multi-aspect sentiment detection using multilabel learning by Kumar, J. Ashok, Trueman, Tina Esther, Cambria, Erik

“…Results show that traditional multilabel transformation methods achieve better performance for small amounts of data and long-range sequence in terms of samples and labels, and that deep learning models achieve better performance in terms of mean test accuracy, AUC Score, RL, and average precision using GloVe word embedding features in both datasets.…”
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Combined effects of muscle fatigue and decision making on knee joint biomechanics by Wang, Nan.

“…Subsequently, a 23 ANOVA analysis was performed after computing all the collected data by means of inverse dynamic approach. Significant increase of knee extension, valgus, and internal rotation moment as well as peak proximal tibial anterior shear force were observed after being induced with fatigue protocol. …”
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