DeepReducer: A linear transformer-based model for MEG denoising by Hui Xu, Li Zheng, Pan Liao, Bingjiang Lyu, Jia-Hong Gao

“…DeepReducer was trained on a mix of limited-trial and multi-trial averaged ERFs, employing mean squared error as the loss function to effectively capture and model the complex signal fluctuations inherent in MEG recordings. …”
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Real-World Analysis of Weight Gain and Body Mass Index Increase Among Patients with HIV-1 Using Antiretroviral Regimen Containing Tenofovir Alafenamide, Tenofovir Disoproxil Fumara... by Bruno Emond, Carmine Rossi, Rachel Rogers, Patrick Lefebvre, Marie-Hélène Lafeuille, Prina Donga

“…Time-to-weight and BMI increase ≥5% were compared using Cox models adjusted for baseline characteristics. …”
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Do Macroeconomic Factors Significantly Affect Economic Growth? Evidence from Ghana by Evans Yeboah, Dastan Bamwesigye

“…The study investigated some selected macroeconomic variables (external debt, FDI, inflation, exchange rate, and trade openness) that impact Ghana's economic growth. The study analyzed time series data from the World Bank (1991 to 2021) using econometrics methods; the Johansen cointegration, Ordinary least squares (OLS), and the distributed lagged model. …”
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The Impact of Stokvel and Banking Sector Efficiency: an Econometrics Model using (ARDL) Approach to Cointegration by Ngcobo, Lindiwe

“…Methods: Using Autoregressive Distributed-lag (ARDL) Bounds Testing Approach using quarterly time series secondary data ranging from 2009Q4 to 2020Q2 collected from the South African Reserve Bank and Old Mutual South Africa. …”
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Introducing youth to clinical research: Development and pilot implementation of a children’s activity book by Renee Cadzow, Andy Strohmeier, Erin Carnes, Teresa Quattrin

“…Preliminary analyses included descriptive statistics and cross-tabulations with chi squares. Results: Despite delays in dissemination and outreach due to the COVID-19 pandemic, we obtained feedback from over 170 diverse persons across a spectrum of communities and community partners. …”
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Advanced Air Quality Forecasting Using an Enhanced Temporal Attention-Driven Graph Convolutional Long Short-Term Memory Model With Seasonal-Trend Decomposition by Yuvaraja Boddu, A. Manimaran, B. Arunkumar, M. Sucharitha, J. Suresh Babu

“…The model demonstrates significant improvements in predictive accuracy, achieving reductions of 10-15% in error metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) compared to traditional forecasting methods. …”
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Validation of In-field Calibration for Low-Cost Sensors Measuring Ambient Particulate Matter in Kolkata, India by Siddharth Nobell, Arnab Majumdar, Shovon Mukherjee, Sukumar Chakraborty, Sanjoy Chatterjee, Soumitra Bose, Anindita Dutta, Sandhya Sethuraman, Daniel M. Westervelt, Shairik Sengupta, Rakhi Basu, V. Faye McNeill

“…The LCS data after cross-calibration correctly identified days as being in or out of attainment with the 24h National Ambient Air Quality Standard of 60 µg m−3 91% of the time. The corrected data accurately identifies days with an India scale Air Quality Index of “poor” or worse 94% of the time. …”
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Optimization and modeling of sulfur removal from liquid fuel using carbon-based adsorbents through synergistic application of RSM and machine learning by Karim Maghfour Sarkarabad, Mohsen Shayanmehr, Ahad Ghaemi

“…The MLP network’s determination coefficient (R2) was 0.98 over 30 epochs, and its mean squared error (MSE) was 0.0028. The RBF network also obtained an R2 of 0.98 and an MSE of 0.0026 over 40 epochs. …”
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The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches by Md. Idris Ali, Md. Atikur Rahaman, Mohammed Julfikar Ali, Md. Ferdausur Rahman

“…To validate robustness, the Kernel Regularized Least Squares (KRLS) machine learning approach is employed, confirming the consistency of results. …”
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Analysis of reservoir rock permeability changes due to solid precipitation during waterflooding using artificial neural network by Azizollah Khormali, Soroush Ahmadi, Aleksandr Nikolaevich Aleksandrov

“…The ANN model using the Levenberg-Marquardt (LM) algorithm showed superior performance with the lowest mean squared error (MSE) for training, testing, and all data sets. …”
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Penerapan Metode K-Means Berbasis Jarak untuk Deteksi Kendaraan Bergerak by Yuslena Sari, Andreyan Rizky Baskara, Puguh Budi Prakoso

“…Whereas for data processing time exposes that the Braycurtis distance has more advantages   …”
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Validation of SOC Estimation Using OC and EC Concentration in PM2.5 Measured at Seoul by Ha Young Yoo, Ki Ae Kim, Yong Pyo Kim, Chang Hoon Jung, Hye Jung Shin, Kwang Ju Moon, Seung Myung Park, Ji Yi Lee

“…EC to select the lower 5-20% OC/EC ratio; 3) determining the OC/EC ratio which has lowest correlation coefficient value (R2) between EC and SOC which is reported as minimum R squared method (MRS). Each (OC/EC)pri ratio of three approaches are 0.35, 1.34, and 1.77, respectively from the 1-h data. …”
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The Relationship Between Self-Efficacy, Aerobic Fitness, and Traditional Risk Factors for Musculoskeletal Injuries in Military Training: A Prospective Cohort Study by Brian R Kreisel, Kelly M Scott, Erin M Florkiewicz, Michael S Crowell, Jamie B Morris, Paige A McHenry, Timothy M Benedict

“…Independent variables were compared between participants who were and were not injured using Chi-squared test, t-tests, Cox regression analysis and time to injury was evaluated using Kaplan-Meyer survival analyses…”
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Death and disappearance: Measuring racial disparities in mortality and life expectancy among people in state prisons, United States 2000-2014. by Bryan L Sykes, Ernest K Chavez, Justin D Strong

“…<h4>Conclusions</h4>Legal decisions and social policies aimed at reducing mortality may be most effective in the short-run; however, the effects of these policy changes may fadeout over time. Research should clearly discern whether changes in mortality rates across states are due to diminished gains in social policies or increases in the disappearance (or underreporting) of deaths in custody. …”
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Exploring the Impact of Homophily Attitude, Physical, and Social Attractiveness on Purchase Intentions by Honya Ghasemi, Ramin Bashir Khodaparasti, Hooshmand Bagheri Garbollagh

“…The data was analyzed using the Partial Least Squares Structural Equation Model (PLS-SEM). FindingsThe findings indicate that trustworthiness acts as a mediator in the relationship between Homophily attitude, physical and social attractiveness, and purchase intention. …”
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Investigating the Role of Artificial Intelligence Enablers and Companies' Readiness in Adopting an Artificial Intelligence-integrated Customer Relationship Management System by Soheila Mohammadzadeh Vanestan, Rahim Abedi

“…To test the research hypotheses, structural equations were tested using a partial least squares approach, employing the third version of SMART-PLS software. …”
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