NARX Neural Network Derivations of the Outer Boundary Radiation Belt Electron Flux by D. A. Landis, A. A. Saikin, I. Zhelavskaya, A. Y. Drozdov, N. Aseev, Y. Y. Shprits, M. F. Pfitzer, A. G. Smirnov

“…GOES‐15 measurements of 0.8 MeV electrons were used to train a Nonlinear Autoregressive with Exogenous input (NARX) neural network for both modeling GOES‐15 flux values and an upper boundary condition scaling factor (BF). …”
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Evaluating the impact of an educational self-care intervention on the empowerment of primigravida pregnant women covered by family medicine program in the Estahban City —an applica... by Zahra Rezaei, Zahra Yazdanpanahi, Abdolrahim Asadollahi, Masoud Karimi, Leila Ghahremani

“…Trial registration Before starting the current research, it was registered in the clinical trial portal with the specifications of the clinical code Trial Id: 73547, IRCT Id: IRCT20131014015015N23, Registration date: 2023–11-10, 1402/08/19 and Membership number: 15015.…”
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Improving Digital Cancer Care for Older Black Adults: Qualitative Study by Paul Wankah, Shivani Chandra, Aisha Lofters, Nebila Mohamednur, Beverley Osei, Tutsirai Makuwaza, Ambreen Sayani

“…Through a theory-informed thematic analysis approach, experienced qualitative researchers used the Patient Centered Care model and the synergies of oppression conceptual lens to inductively and deductively code interview transcripts in order to develop key themes that captured the digital cancer care experiences of older Black adults. …”
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Farmer-veterinarian communication during herd health visits on dairy farms in Flanders, Belgium by Linda Dorrestein, Caroline Ritter, Ellen de Jong, Jannet de Jonge, Jolanda Jansen, Sarne De Vliegher, Geert Vertenten, Herman W. Barkema

“…However, veterinarians who had previously participated in communication skills training determined the needs of the farmer more often than participants who had not. …”
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Leveraging Landsat and Google Earth Engine for long-term chlorophyll-a monitoring: A case study of Lake Balaton's water quality by Huan Li, Boglárka Somogyi, Xiaona Chen, Zengliang Luo, Katalin Blix, Sirui Wu, Zheng Duan, Viktor R. Tóth

“…We present an open-source online tool for historical and real-time Chl-a mapping, designed for both experts and the public. With customizable code for global lakes, results are continuously showcased on the HUN-REN Balaton Limnological Research Institute's website and social media.…”
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Accelerating Giant-impact Simulations with Machine Learning by Caleb Lammers, Miles Cranmer, Sam Hadden, Shirley Ho, Norman Murray, Daniel Tamayo

“…As such, we release our training code, along with an easy-to-use user interface for our collision-outcome model and giant-impact emulator ( https://github.com/dtamayo/spock ).…”
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Visual information guided multi-modal model for plant disease anomaly detection by Jiuqing Dong, Yifan Yao, Alvaro Fuentes, Yongchae Jeong, Sook Yoon, Dong Sun Park

“…We believe that our study will contribute to the community and, to fuel the field, our code will be released.…”
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EDITORIAL by Ivan Čuk

“…Bojan Leskošek, Ivan Čuk and Maja Bučar Pajek analyzed how open ended Code of Points at example of European Championships between 2005 and 2011 works. …”
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Perceptions Toward an Attentional Bias Modification Mobile Game Among Individuals With Low Socioeconomic Status Who Smoke: Qualitative Study by Michael Wakeman, Lydia Tesfaye, Gunnar Baskin, Tim Gregory, Greg Gruse, Erin Leahy, Brandon Kendrick, Sherine El-Toukhy

“…Users advance in the game by tapping on neutral (ie, fruit) rather than smoking-related (eg, cigarette pack) imagery that they are presented with, essentially training them to avoid focusing on smoking cues. …”
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Decoding discharge: accuracy of primary and secondary diagnoses in summaries by Abir Aijaz, Frances Steele, Alice Erlander Milne, Victoria Clarke, Kimberley Arme, Abdul Bhat

“…Reflection and analysis: The findings emphasise the need for improved awareness and adherence to coding practices among medical staff. To address these gaps, a QIP was proposed with interventions involving education and training, visual aids and reminders, a feedback mechanism to staff on their coding, re-auditing, involvement of senior staff to promote coding importance, long-term monitoring and integration of medical diagnoses coding into medical education. …”
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Piloting an external quality assurance program (QAP) for COVID-19 antigen rapid diagnostic tests (Ag-RDTs): findings and lessons learned from Cambodia by Vonthanak Saphonn, John Kaldor, Deborah Williamson, Sothavireak Bory, Philip Cunningham, Jessica Markby, Kennarey Seang, Jacqueline Prestedge, Chan Leakhena Phoeung, Marilyn Ninan, Kanika Heng, Andrew Valley

“…The preimplementation training including the Khmer-translated documentation was conducted virtually for Tier 1 laboratories and in-person for Tier 2 laboratories. …”
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Novel Tl2GeX6 (X=Cl,Br) double perovskites for solar cell, optoelectronic, and thermoelectric applications: A DFT investigation by Redi Kristian Pingak, Amine Harbi, Soukaina Bouhmaidi, Albert Z. Johannes, Nikodemus U.J. Hauwali, Wahidullah Khan, Fidelis Nitti, David Tambaru, M. Moutaabbid, Larbi Setti

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ChatEarthNet: a global-scale image–text dataset empowering vision–language geo-foundation models by Z. Yuan, Z. Xiong, L. Mou, X. X. Zhu, X. X. Zhu

“…This dataset has significant potential for both training and evaluating vision–language geo-foundation models for remote sensing. …”
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Correlation Between Depression-Associated Genes and Cancer Types: Predicting Cancer Based on Mutation Frequencies by Fernando Patricio Carranco-Avila, Clayanela Zambrano-Caicedo, Jonathan Javier Loor-Duque, Ariana Deyaneira Jimenez-Narvaez, Ivan Galo Reyes-Chacon, Paulina Vizcaino, Isidro Rafael Amaro Martin, Manuel Eugenio Morocho-Cayamcela

“…This process generated a dataset, enabling the training and testing of machine learning and deep learning classification models. …”
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Impact of COVID-19 on healthcare programs in Zimbabwe: a mixed methods study by Nicholas Midzi, C. Haruzivishe, E. Gonese, S. Sembuche, M. J. Mutsaka-Makuvaza, R. Ayebare, T. Muwonge, S. Nakasendwa, C. Mateta, T. Madanhire, C. N. Chaibva, C. Gwatiringa, K. Mutsaka, I. Phiri, M. Abdulaziz, P. C. Kabwe, V. Dube-Mawerewere, R. Tajudeen, M. P. Fallah, M. Dobbie

“…An inductive approach was used to code and identify basic themes which were then triangulated against DHIS2 findings. …”
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Analysis of Rehabilitation Occupational Therapy Techniques Based on Instrumental Music Chinese Tonal Language Spectrogram Analysis by Ying Liao

“…The dual judgment of temporal threshold and short-time average energy realized the phonetic length training. Tone and clear tone training were achieved by linear predictive coding technique (LPC) and autocorrelation function. …”
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Decreased dihydroartemisinin-piperaquine protection against recurrent malaria associated with Plasmodium falciparum plasmepsin 3 copy number variation in Africa by Leyre Pernaute-Lau, Mario Recker, Mamadou Tékété, Tais Nóbrega de Sousa, Aliou Traore, Bakary Fofana, Kassim Sanogo, Ulrika Morris, Juliana Inoue, Pedro E. Ferreira, Nouhoum Diallo, Jürgen Burhenne, Issaka Sagara, Alassane Dicko, Maria I. Veiga, Walter Haefeli, Anders Björkman, Abdoulaye A. Djimde, Steffen Borrmann, José Pedro Gil

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Tracer-based Rapid Anthropogenic Carbon Estimation (TRACE) by B. R. Carter, B. R. Carter, J. Schwinger, R. Sonnerup, A. J. Fassbender, J. D. Sharp, J. D. Sharp, L. M. Dias, L. M. Dias, D. E. Sandborn

“…Unfortunately, C<span class="inline-formula">_anth</span> estimation methods are typically only accessible to trained scientists and modelers with access to significant computational resources. …”
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Automating tephra fall building damage assessment using deep learning by E. Tennant, S. F. Jenkins, V. Miller, R. Robertson, B. Wen, S.-H. Yun, B. Taisne

“…To facilitate continued development and collaboration all trained models and the pipeline code can be downloaded from GitHub.…”
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Using multiplexed functional data to reduce variant classification inequities in underrepresented populations by Moez Dawood, Shawn Fayer, Sriram Pendyala, Mason Post, Divya Kalra, Karynne Patterson, Eric Venner, Lara A. Muffley, Douglas M. Fowler, Alan F. Rubin, Jennifer E. Posey, Sharon E. Plon, James R. Lupski, Richard A. Gibbs, Lea M. Starita, Carla Daniela Robles-Espinoza, Willow Coyote-Maestas, Irene Gallego Romero

“…Using MAVE data, we reclassified VUS in individuals of non-European-like genetic ancestry at a significantly higher rate in comparison to reclassified VUS from European-like genetic ancestry (p = 9.1e − 03) effectively compensating for the VUS disparity. Further, essential code analysis showed equitable impact of MAVE evidence codes but inequitable impact of allele frequency (p = 7.47e − 06) and computational predictor (p = 6.92e − 05) evidence codes for individuals of non-European-like genetic ancestry. …”
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