Human responses to the DNA prime/chimpanzee adenovirus (ChAd63) boost vaccine identify CSP, AMA1 and TRAP MHC Class I-restricted epitopes. by Harini Ganeshan, Jun Huang, Maria Belmonte, Arnel Belmonte, Sandra Inoue, Rachel Velasco, Santina Maiolatesi, Keith Limbach, Noelle Patterson, Marvin J Sklar, Lorraine Soisson, Judith E Epstein, Kimberly A Edgel, Bjoern Peters, Michael R Hollingdale, Eileen Villasante, Christopher A Duplessis, Martha Sedegah

“…Two protection-associated epitopes were promiscuous and may have also contributed to protection by recognition of different HLA alleles. …”
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On the fidelity versus privacy and utility trade-off of synthetic patient data by Tim Adams, Colin Birkenbihl, Karen Otte, Hwei Geok Ng, Jonas Adrian Rieling, Anatol-Fiete Näher, Ulrich Sax, Fabian Prasser, Holger Fröhlich

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Remote sensing in the estimation of evapotranspiration of tomato cultivation for industrial processing by Carolina Carvalho Rocha Sena, José Alves Júnior, João Mauricio Fernandes Souza, Adão Wagner Pego Evangelista, Rafael Battisti, Derblai Casaroli, Elson de Jesus Antunes Junior

“…This study demonstrated that algorithms may effectively estimate ETa in tomato crops for industrial processing in the analyzed region.…”
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Smart solutions for underwater 3D exploration and SLAM – possibilities and limitations by C. Bräuer-Burchardt, M. Hubold, M. Heinze, P. Kühmstedt, G. Notni, G. Notni

“…Monocular 3D exploration of underwater objects is a growing field of application due to powerful new developments of computer technology, hardware components, and algorithms such as AI-supported modules. Using appropriate software tools, video streams of simple cameras may produce complete 3D models. …”
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Adjacent Inputs With Different Labels and Hardness in Supervised Learning by Sebastian A. Grillo, Julio Cesar Mello Roman, Jorge Daniel Mello-Roman, Jose Luis Vazquez Noguera, Miguel Garcia-Torres, Federico Divina, Pedro Esteban Gardel Sotomayor

“…An important aspect of the design of effective machine learning algorithms is the complexity analysis of classification problems. …”
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The Use of Large Language Models for Marking Datasets in Natural Language Processing by Krystina Makoveichuk, Alexander Olifirov, Georgiy Demenchuk, Yan Makoveichuk

“…The problem in general consists in classifying courses that may be multi-class or multi-labeled using machine learning algorithms. …”
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ImageDoubler: image-based doublet identification in single-cell sequencing by Kaiwen Deng, Xinya Xu, Manqi Zhou, Hongyang Li, Evan T. Keller, Gregory Shelley, Annie Lu, Lana Garmire, Yuanfang Guan

“…Traditional doublet detection methods primarily rely on simulated genomic data, which may be less effective in homogeneous cell populations and can introduce biases from experimental processes. …”
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Comparing the Effectiveness of R and S Roughness Parameters on Surfaces Lubricated with Standardized Nominal Particle Size Lubricants by Leire Mendieta-Echevarría, María Ana Sáenz-Nuño, Eva María Rubio

“…It is considered that undesirable particles may appear in the oil due to friction, the wear of parts, or dirt in the lubrication circuit. …”
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Predicting patient risk of leaving without being seen using machine learning: a retrospective study in a single overcrowded emergency department by Arianna Scala, Teresa Angela Trunfio, Massimo Majolo, Michelangelo Chiacchio, Giuseppe Russo, Paolo Montuori, Giovanni Improta

“…Four ML classification algorithms—Random Forest, Naïve Bayes, Decision Tree, and Logistic Regression—were evaluated for their predictive capabilities. …”
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Artificial intelligence: Applications in cardio-oncology and potential impact on racial disparities by Gift Echefu, Rushabh Shah, Zanele Sanchez, John Rickards, Sherry-Ann Brown

“…Artificial intelligence (AI) holds multifaceted potential to enhance cardio-oncologic outcomes. AI algorithms are currently utilizing clinical data input to identify patients at risk for cardiac complications. …”
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Breast Cancer Classification with Various Optimized Deep Learning Methods by Mustafa Güler, Gamze Sart, Ömer Algorabi, Ayse Nur Adıguzel Tuylu, Yusuf Sait Türkan

“…When the studies in the literature are examined, it can be seen that applications of deep learning algorithms in the field of medicine have achieved very successful results. …”
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Design Improvement of Permanent Magnet Motor Using Single- and Multi-Objective Approaches by Cvetkovski Goga, Petkovska Lidija

“…Depending on the specific requirements and goals of a design project, engineers may employ either single-objective or multi-objective optimisation approaches. …”
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CRISP: correlation-refined image segmentation process by Jennifer K. Briggs, Erli Jin, Matthew J. Merrins, Richard K. P. Benninger

“…These algorithms may allow for more accurate and reproducible cell masking.…”
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Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome by Yifei He, Yoonmi Hong, Ye Wu

“…Except for tracking algorithms, different fiber filtering methods, along with the various biological features themselves, displayed more variable patterns of laterality change. …”
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Research on Fast SOC Balance Control of Modular Battery Energy Storage System by Jianlin Wang, Shenglong Zhou, Jinlu Mao

“…However, these methods may encounter issues such as high algorithmic complexity and stringent hardware requirements in practical applications. …”
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Role of green infrastructure planning in achieving sustainable development goals through an environmental efficiency lens: An integrated literature review by Zih-Hong Lin, Shawn W. Laffan, Graciela Metternicht

“…The key findings highlight that a) GI can contribute directly to SDG 2, 3, 6, 10, 11, 13, 14, and 15; b) GI has the potential to benefit 32 SDG targets; c) the Data Envelopment Analysis (DEA) method may be suitable for assessing environmental efficiency; and d) integrating machine learning algorithms with DEA can enhance the reliability of environmental efficiency measurement. …”
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INTELLIGENT MATCHING TECHNIQUE FOR FLEXIBLE ANTENNAS by Olena Semenova, Andriy Semenov, Stefan Meulesteen, Natalia Kryvinska, Hanna Pastushenko

“…The utilization of artificial neural networks for the design of flexible antennas enables researchers to expand the design space, optimize antenna characteristics with greater efficiency, and identify innovative solutions that may not be apparent through traditional design methods. …”
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Scene Text Detection and Recognition Using Maximally Stable Extremal Region by Golda Jeyasheeli P, Athinarayanan B, Manish T, Mohamad Umar M

“…Traditional text detection and recognition methods may struggle with detecting and recognizing text in images with low resolution, complex backgrounds, and varying font sizes. …”
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Identification and validation of a novel machine learning model for predicting severe pelvic endometriosis: A retrospective study by Siqi Cao, Xingzhe Li, Xin Zheng, Jiaxin Zhang, Ziyao Ji, Yanjun Liu

“…Then, we used seven machine learning (ML) algorithms to construct the predictive models. Finally, SHapley Additive exPlanations (SHAP) interpretation was performed to evaluate the contributions of each factor to risk prediction. …”
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Hybrid Automata-Based Control Framework for Real-Time Optimization in Space-Based Solar Power Transmission by Patil Ankita, Ranjan Mritunjay, Deore Kalyani, Sonje Pranjal, Patil Kiran, Patil Rutuja

“…While usual machine learning algorithms may predict the production of energy, they cannot respond sufficiently in real time to alter according to dynamic environmental conditions. …”
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