Open-Source High-Throughput Phenotyping for Blueberry Yield and Maturity Prediction Across Environments: Neural Network Model and Labeled Dataset for Breeders by Jing Zhang, Jerome Maleski, Hudson Ashrafi, Jessica A. Spencer, Ye Chu

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Capacitance-Based Untethered Fatigue Driving Recognition Under Various Light Conditions by Cheng Zeng, Haipeng Wang

“…The acquired signal is initially subjected to pre-processing, whereby noise waves are filtered out. …”
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Early Perspectives on the Planned Brazilian Program to Address Ship-Sourced Pollution by Daniel Constantino Zacharias, Angelo Teixeira Lemos

“…This initiative not only aims to strengthen Brazil’s readiness to address the oil spills but also contribute to the protection of BJW resources and ecosystems. …”
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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

“…BackgroundEarly detection of elevated acute stress is necessary if we aim to reduce consequences associated with prolonged or recurrent stress exposure. …”
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GA-AGN: A generative adversarial network and attention gated network model for enhanced lung cancer detection using chest CT scans by Shenson Joseph, Herat Joshi, Meetu Malhotra, Shazia Fathima, Madhao Wagh, Kirankumar Kulkarni, Somya Singh, Onkar Mayekar, Mehedi Hassan

“…Henceforth, earlier detection of lung cancer is significant. Several Machine Learning (ML) approaches have been modeled for lung cancer recognition with the advent of Artificial Intelligence. …”
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Analysing Physical Performance Indicators Measured with Electronic Performance Tracking Systems in Men’s Beach Volleyball Formative Stages by Joaquín Martín Marzano-Felisatti, Rafael Martínez-Gallego, José Pino-Ortega, Antonio García-de-Alcaraz, Jose Ignacio Priego-Quesada, José Francisco Guzmán Luján

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Machine learning for epithelial ovarian cancer platinum resistance recurrence identification using routine clinical data by Li-Rong Yang, Mei Yang, Liu-Lin Chen, Yong-Lin Shen, Yuan He, Zong-Ting Meng, Wan-Qi Wang, Feng Li, Zhi-Jin Liu, Lin-Hui Li, Yu-Feng Wang, Xin-Lei Luo

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Current landscape of cancer genomics research in sub-Saharan Africa – a review of literature by Lemchukwu C. Amaeshi, Kehinde S. Okunade, Kehinde S. Okunade, Rose I. Anorlu, Rose I. Anorlu

“…In this review, we discuss the unique genomic characteristics of common cancers in Africa, highlight challenges faced in the implementation of genomic research, and explore potential solutions and current initiatives instituted to foster genomic research in the region.…”
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Gone in a Splash? Temporal Dynamics of Flukeprint Environmental DNA (eDNA) Detection for Common Coastal Northeast Pacific Cetacean Species by Chloe V. Robinson, Emma Laqua, Amy Migneault, Gary J. Sutton, Karina Dracott, Ashley Bachert

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Integrating smartwatch-based out-of-hospital cardiac arrest detection into resuscitation systems: a focus group study of community responder perspectives by Marijn Eversdijk, Babette J.W. van der Eerden, Dick L. Willems, Willem J. Kop, Mirela Habibović, Marieke A.R. Bak

“…Conclusion: This study identifies target topics that require attention in order to optimise community responders involvement in the implementation of smartwatch-based OHCA detection. Community responders indicated communication with the emergency dispatch centre, training with smartwatch-initiated scenarios and opt-in functionalities for responding to potential impactful situations as key factors to enhance the acceptability and feasibility. …”
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Possibilities of detecting and correcting decreased heart rate variability in patients with coronary artery disease in combination with depressive disorders in a cardiology departm... by T. G. Nonka, E. V. Lebedeva, A. N. Repin

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Incidental Thoracic Th1 Spina Bifida Occulta Detection Following Sports Injury: A Case Report with Comprehensive Radiological Insights by Sinan Kara, Amel Gorani, Bruno Baillon, Alexandre Grandjean, Thomas Von Waldburg, Tevi Morel Lawson

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A Low-intensity Approach for Early Intervention and Detection of Childhood Disability in Central Java: Long-term Findings and Implications for “Inclusive Development” by Jonathan Maratmo, Pim Kuipers

“…<p><strong>Purpose</strong>: This paper describes a qualitative follow-up study, conducted eight years after completion of a low-intensity early intervention and detection of childhood disability project in Central Java, Indonesia. …”
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Efficient early-stage disease detection in pomegranate (Punica granatum) using convolutional neural networks optimized by honey badger optimization algorithm by Sameera P, Abhay A. Deshpande

“…To overcome this problem, this study presents an early-stage disease detection method for pomegranates. Initially, image quality was enhanced using contrast limited adaptive histogram equalization. …”
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Feature-informed machine learning for detecting material deformation and failure in aluminum pipes under bending load using acoustic emission sensors by Xiaowei Zuo, Nicholas Satterlee, Chang-Whan Lee, In-Gyu Choi, Choon-Wook Park, John S. Kang

“…Plastic deformation or the initiation of cracks in metal materials generates elastic wave energy, which can be captured by acoustic emission (AE) sensors. …”
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Molecular Detection of Various Non-Seasonal, Zoonotic Influenza Viruses Using BioFire FilmArray and GenXpert Diagnostic Platforms by Charlene Ranadheera, Taeyo Chestley, Orlando Perez, Breanna Meek, Laura Hart, Morgan Johnson, Yohannes Berhane, Nathalie Bastien

“…Both assays effectively detected the presence of influenza virus in clinically-contrived nasal swab and saliva specimens at low concentrations. …”
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A Comprehensive Analysis of Early Alzheimer Disease Detection from 3D sMRI Images Using Deep Learning Frameworks by Pouneh Abbasian, Tracy A. Hammond

“…Accurate diagnosis of Alzheimer’s Disease (AD) has largely focused on its later stages, often overlooking the critical need for early detection of Early Mild Cognitive Impairment (EMCI). …”
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Detection and identification of hyaluronan oligosaccharides derived from free-radical depolymerization via reverse-phase ion-pair HPLC/mass spectrometry by Zhiqing Tian, Jialong Hu, Fan Jiang, Shuifang Zhu

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Development of a one-pot RPA-cas12a/13a assay for simultaneous detection of HPV16 and HPV18 by Qiujie Yu, Qiujie Yu, Hongzhi Luo, Xiaoxue Huang, Xiaohua An, Xiaohua An, Yan Wang, Yan Wang, Huasu Chen, Huasu Chen, Jianhuang Rong, Yafei Zhang, Yafei Zhang, Qianhao Huang, Qianhao Huang, Yudi Rao, Yudi Rao, He Zha

“…Early-stage prevention and screening initiatives have emphasized the critical necessity for reliable and rapid HPV detection technique. …”
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Multimodal framework for phishing attack detection and mitigation through behavior analysis using EM-BERT and SPCA-BASED EAI-SC-LSTM by Mahmoud Murhej, G. Nallasivan

“…Thus, multiple data sources, including SMS, E-Mail, and URL links, are used in this paper to detect and mitigate phishing attacks.MethodsInitially, the input data is collected from the SMS, E-Mail, and URL datasets. …”
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