Machine learning with environmental predictors to forecast hospital visits and admissions: a systematic review by Levi Monteiro Martins, Elsa Coz, Delphine Maucort-Boulch, Mohand-Saïd Hacid

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WetCH₄: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022 by Q. Ying, Q. Ying, B. Poulter, J. D. Watts, K. A. Arndt, A.-M. Virkkala, L. Bruhwiler, Y. Oh, Y. Oh, B. M. Rogers, S. M. Natali, H. Sullivan, A. Armstrong, A. Armstrong, E. J. Ward, E. J. Ward, L. D. Schiferl, C. D. Elder, C. D. Elder, O. Peltola, A. Bartsch, A. R. Desai, E. Euskirchen, M. Göckede, B. Lehner, M. B. Nilsson, M. Peichl, O. Sonnentag, E.-S. Tuittila, T. Sachs, T. Sachs, A. Kalhori, M. Ueyama, Z. Zhang, Z. Zhang

“…The most important predictor<span id="page2508"/> variables included near-surface soil temperatures (top 40 cm), vegetation spectral reflectance, and soil moisture. Our results, modeled from 138 site years across 26 sites, had relatively strong predictive skill, with a mean <span class="inline-formula"><i>R</i>²</span> of 0.51 and 0.70 and a mean absolute error (MAE) of 30 and 27 nmol m<span class="inline-formula">⁻²</span> s<span class="inline-formula">⁻¹</span> for daily and monthly fluxes, respectively. …”
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Socioeconomic and Cultural Determinants of the Development of Artificial Intelligence by Sorin Paul Lazăr, Iustin Atanasiu Pop, Maria Mortan

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Perbandingan Performa Arimax-Garch Dan Lstm Pada Data Harga Penutupan Saham PT Aneka Tambang Tbk (ANTM.JK) by Dhiya Khalishah Tsany Suwarso, Akbar Rizki, Salsabila Dwi Rahmi, Hakim Zoelva Mahesa, Windi Gunawan, Zafira Ilma Fitri, Yenni Angraini, Adelia Putri, Muhammad Rizky Nurhambali

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Biomechanics over body composition: what matters most in the 40 by Emma Sterne, Chukwudum Okpalaoka, Pavan Patel, Alexa Fraga, Caitlin Kucharski, Pete Bommarito, Monique Mokha

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Clinical and cost-effectiveness of detailed anomaly ultrasound screening in the first trimester: a mixed-methods study by Jehan N Karim, Helen Campbell, Pranav Pandya, Edward C F Wilson, Zarko Alfirevic, Trish Chudleigh, Elizabeth Duff, Jane Fisher, Hilary Goodman, Lisa Hinton, Christos Ioannou, Edmund Juszczak, Louise Linsell, Heather L Longworth, Kypros H Nicolaides, Anne Rhodes, Gordon Smith, Basky Thilaganathan, Jim Thornton, Gillian Yaz, Oliver Rivero-Arias, Aris T Papageorghiou

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Effect of women’s empowerment on lowering the number of children ever born in Bangladesh by Shanjida Chowdhury, Md. Aminul Haque

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Evaluating treatment strategies and machine learning based treatment recommendation system for elderly patients with high grade gliomas by Feiling Xiang, Feiling Xiang, Mengyuan Fu, Mengyuan Fu, Xuelian Yang, Xuelian Yang

“…This study aims to evaluate the benefit of treatment strategies and develop a treatment recommendation system for eHGG patients.MethodsBy propensity score matching and survival analysis, we compared the prognosis of treatment strategies, including surgery versus none, adjuvant therapies versus none, and gross total resection (GTR) versus subtotal resection (STR), among patients aged 65 and older with high-grade gliomas. A machine learning model, random survival forest, was developed to provide predictions on prognosis. …”
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Patterns and risk factors of falls among older adults: a systematic review by Tetiana Yermakova

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Depletion curve analysis and assessment of chemical indicators for pollution detection in Seraidi springs (Annaba, Algeria) by Salima Guechi, Laroussi Beloulou

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Determinants of healthcare insurance coverage among women of reproductive age in Tanzania: A multilevel mixed effect analysis. by Sanun Ally Kessy, Jovin R Tibenderana, Jomo Gimonge, Fabiola V Moshi

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Measuring the Added Effectiveness of Using Detailed Spatial and Temporal Data in Generating Accessibility Measures by Boer Cui, Emily Grisé, Anson Stewart, Ahmed El-Geneidy

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Frequency-resolved Time Lags due to X-Ray Disk Reprocessing in AGN by Christos Panagiotou, Iossif Papadakis, Erin Kara, Marios Papoutsis, Edward M. Cackett, Michal Dovčiak, Javier A. García, Elias Kammoun, Collin Lewin

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Empowering older adults in medication safety by Jennifer A. Stoll, Andrew D. Baumgartner, Laura A. Brady, Alexandria M. Wahler, Roopsy Kamboj, Robert G. Wahler, Ranjit Singh

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The Optical Signature of a Bottom Boundary Layer Ventilation Event in the Northern Gulf of Mexico's Hypoxic Zone by Jason K. Jolliff, Ewa Jarosz, Sherwin Ladner, Travis Smith, Stephanie Anderson, James Dykes

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First-principles investigation on the atomic-level mechanism of acetic acid corrosion on carbon steel by Liyan Wang, Fei Xie, Dan Wang, Dongxu Sun, Ming Wu

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Numerical Simulation of Storm Surge-Induced Water Level Rise in the Bohai Sea with Adjoint Data Assimilation by Liqun Jiao, Youqi Wang, Dong Jiang, Qingrong Liu, Jing Gao, Xianqing Lv

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How does environmental tax reform drive corporate innovation to green technologies? Quasi-natural experimental evidence from China by Hui Hu, Yuqi Zhu, Lin Ye, Yulong Wang

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A Bayesian active learning platform for scalable combination drug screens by Christopher Tosh, Mauricio Tec, Jessica B. White, Jeffrey F. Quinn, Glorymar Ibanez Sanchez, Paul Calder, Andrew L. Kung, Filemon S. Dela Cruz, Wesley Tansey

“…In a prospective combination screen of a library of 206 drugs on a collection of pediatric cancer cell lines, the BATCHIE model accurately predicts unseen combinations and detects synergies after exploring only 4% of the 1.4M possible experiments. …”
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Relationship between Supportive Supervision and Empathic Behavior among Public Healthcare Professionals by Henry Samuel Edosomwan, Tochukwu Matthew Oguegbe, Chiyem Lucky Nwanzu, Chiamaka O. Joe-Akunne

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