Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopy by Neslihan Dilruba Koseoglu, Eric Chen, Rudraksh Tuwani, Benjamin Kompa, Stephanie M. Cox, M. Cuneyt Ozmen, Mina Massaro-Giordano, Andrew L. Beam, Pedram Hamrah

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Leg Muscle Volume, Intramuscular Fat and Force Generation: Insights From a Computer‐Vision Model and Fat‐Water MRI by Andrew C. Smith, Javier Muñoz Laguna, Eddo O. Wesselink, Zachary E. Scott, Hazel Jenkins, Wesley A. Thornton, Marie Wasielewski, Jordan Connor, Scott Delp, Akshay S. Chaudhari, Todd B. Parrish, Sean Mackey, James M. Elliott, Kenneth A. Weber II

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Seismic Vibration Control and Multi-Objective Optimization of Transmission Tower with Tuned Mass Damper Under Near-Fault Pulse-like Ground Motions by Ying Lin, Tao Liu

“…Based on the obtained analysis results, artificial neural network (ANN) is trained to predict the vibration reduction ratios of peak responses and the corresponding vibration reduction cost. …”
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Evaluation of knowledge, attitude, and response regarding transfusion-transmitted infections in blood donors sero-reactive for viral markers during postdonation counselling as an a... by Anju Dubey, Atul Sonker

“…CONCLUSION: Donor counseling should be done by a trained counselor ensuring an understanding of the importance of transfusion-transmitted infection transmission. …”
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Assessment of Artificial Intelligence Models for Estimating Lengths of Gradually Varied Flow Profiles by Majid Niazkar, Farshad Hajizadeh mishi, Gökçen Eryılmaz Türkkan

“…The AI models were trained using a database consisting of 5154 dimensionless cases. …”
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The Implications of Long-Term Local Climate Change for the Energy Performance of an nZEB Residential Building in Volos, Greece by Antiopi-Malvina Stamatellou, Tassos Stamatelos

“…The effect of the future increases in the intensity and duration of summer heat waves is assessed by exploiting the long-term forecasting capabilities of a transformer neural network model, trained by existing meteorological data for the period 2007–2023. …”
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The Role of Santri Entrepreneurship and Santri Business Activities in Economic Independence (Case Study at Manahijul Huda Islamic Boarding School) by Muhammad Irfan Sholehudin, Taryono Taryono, Muhamad Nurman

“…The profits from the business units are used for the construction and development of the pesantren without relying on external donations. In addition, this program instills an entrepreneurial spirit in the students, trains their creativity, and develops Sharia-based business skills. …”
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Analysis Planning of The Upper Tanjung Barat Station Structure With A Special Moment Resisting Frame System (SRPMK) by Tiara Nofiana

“…The planning of the station is planned to use steel profiles because the implementation process is easier and does not interfere with the activities of train users. The station concept must be resistant to earthquakes because Indonesia is a country prone to earthquakes. …”
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Using neural networks for near-real-time aerosol retrievals from OMPS Limb Profiler measurements by M. D. Himes, M. D. Himes, M. D. Himes, G. Taha, G. Taha, D. Kahn, T. Zhu, N. A. Kramarova

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A BiLSTM-Based Hybrid Ensemble Approach for Forecasting Suspended Sediment Concentrations: Application to the Upper Yellow River by Jinsheng Fan, Renzhi Li, Mingmeng Zhao, Xishan Pan

“…The model was trained and validated using daily discharge and SSC data from the Tangnaihai Hydrological Station on the upper Yellow River. …”
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Artificial Intelligence and the creative process: Does AI-creativity extend beyond divergent thinking? by Christian Byrge, Erik E. Guzik, Christian Gilde

“…This paper examined the performance of three separate AI entries generated by GPT-4o as compared with 68 human team entries from students in grades 7–9 within the competitive World Solutions Challenge offered by the Future Problem Solving Program International (FPSPI). The three entries were blind-scored by trained human evaluators for measures of effectiveness, impact, humaneness, creative strength, and development of action plan. …”
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Machine Learning-Based Resource Allocation Algorithm to Mitigate Interference in D2D-Enabled Cellular Networks by Md Kamruzzaman, Nurul I. Sarkar, Jairo Gutierrez

“…The proposed DRL algorithm is trained with a decision-making policy to obtain the best solution in terms of spectrum efficiency, computational time, and throughput. …”
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Effectiveness of canine‐assisted surveillance and human searches for early detection of invasive spotted lanternfly by Angela K. Fuller, Ben C. Augustine, Eric H. Clifton, Ann E. Hajek, Arden Blumenthal, Josh Beese, Aimee Hurt, Carrie J. Brown‐Lima

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Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening by Viola Angyal, Ádám Bertalan, Péter Domján, Elek Dinya

“…Abstract Background The rapid advancement of artificial intelligence, driven by Generative Pre-trained Transformers (GPT), has transformed natural language processing. …”
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Aircraft hybrid-electric environment for analysis and design (AHEAD) applied on a fixed-wing drone by Manuel A. Rendón, Patrícia H. Hallak, Yipsy Roque Benito, Marcelo Assato, Camila de Oliveira Cunha, Daniel Miranda Esther, Rafael Grande Pancini Delmonte, Denys Pinto Gonçalves

“…The goal is to create a reliable analysis platform to establish the hybrid power-train characteristics that may optimally substitute the conventional propulsion system for any aircraft under analysis. …”
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Sexual and preventive behaviors associated with HAV, HBV, and HPV vaccine hesitancy among men who have sex with men in France by Chloé Cogordan, Lisa Fressard, Emeline Brosset, Aurélie Bocquier, Annie Velter, Margot Annequin, Michel Bourrelly, Jean Constance, David Michels, Marion Mora, Stéphane Morel, Camilla Oliveri, Gwenaëlle Maradan, Cyril Berenger, Bruno Spire, Pierre Verger

“…This typology could usefully help to adapt vaccination communication strategies for MSM prevention program according to patients’ profiles. HCPs should be encouraged and trained to ask men about their sexual practices and to provide appropriate vaccination recommendations nonjudgmentally.…”
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The feasibility of the Community health worker Outreach and Navigation Network for Enhancing representation in Clinical Trials (CONNECT) model: A community-physician engagement app... by Mindy Feldman Hecht, Mara Minguez, Alejandra Aguirre, Melissa Fajardo, Olajide Williams

“…Methods: At the core of CONNECT is a dedicated culturally and language concordant CT-trained Community Health Worker (CHW) and local community physician. …”
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Effect of two different types of exercise volumes on exercise capacity, physical activity, and quality of life in subjects undergoing percutaneous coronary intervention: a pilot st... by Adriana Angarita-Fonseca, Adriana Marcela Jacome-Hortúa, Andrea Juliana Ortiz-Patiño, Zully Rocío Rincón-Rueda, Carmen Juliana Villamizar-Jaimes, Erika Tatiana Paredes-Prada, Juan Carlos Sánchez-Delgado

“…The first ( n = 7) was trained for eight consecutive weeks, and the second ( n = 10) for 12 weeks. …”
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Using Machine Learning for Analysis of Wideband Acoustic Immittance and Assessment of Middle Ear Function in Infants by Shan Peng, Yukun Zhao, Xinyi Yao, Huilin Yin, Bei Ma, Ke Liu, Gang Li, Yang Cao

“…Furthermore, we developed a program based on ML models with an interactive GUI interface. …”
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A case study in statistical software development for advanced evidence synthesis: the combined value of analysts and research software engineers by Naomi Bradbury, Tom Morris, Clareece Nevill, Janion Nevill, Ryan Field, Suzanne Freeman, Nicola Cooper, Alex Sutton

“…This has been achieved in the R programming language by combining existing R packages that conduct meta-analysis with the shiny web-application package. …”
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