Multigenerational effects of bisphenol A or ethinyl estradiol exposure on F2 California mice (Peromyscus californicus) pup vocalizations. by Sarah A Johnson, Michelle J Farrington, Claire R Murphy, Paul D Caldo, Leif A McAllister, Sarabjit Kaur, Catherine Chun, Madison T Ortega, Brittney L Marshall, Frauke Hoffmann, Mark R Ellersieck, A Katrin Schenk, Cheryl S Rosenfeld

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Structures, dynamics, and hydrogen-bond interactions of antifreeze proteins in TIP4P/Ice water and their dependence on force fields. by Hwankyu Lee

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The effect of cell geometry on polarization in budding yeast. by Michael Trogdon, Brian Drawert, Carlos Gomez, Samhita P Banavar, Tau-Mu Yi, Otger Campàs, Linda R Petzold

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In Vivo Noncontact Imaging of Conjunctival Goblet Cells with Customized Widefield Fluorescence Microscopy by Yushuang Liu, MS, Zhengyu Duan, PhD, Zhongzhou Luo, BEng, Runze Zhang, MS, Jiaxiong Li, MS, Jinze Zhang, PhD, Zeyu Meng, MS, Bowen Wang, MD, PhD, Jin Yuan, MD, PhD, Peng Xiao, PhD

“…Methods: Based on the intrinsic fluorescence properties of moxifloxacin, a high-resolution noncontact widefield fluorescence microscopy (WFFM) was customized with an all-in-focus algorithm to optimize in vivo CGC imaging over the curved conjunctival surface. …”
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Modifiable Factors and 10‐Year and Lifetime Risk of Cardiovascular Disease in Adults With New‐Onset Diabetes: The Kailuan Cohort Study by Shouling Wu, Yuntao Wu, Yi Ning, Xiang Peng, Haiyan Zhao, Jun Feng, Liming Lin, Chunyu Ruan, Shuohua Chen, Jinwei Tian, Cheng Jin

“…Modifiable risk factors were assessed using the Life's Essential 8 algorithm, including physical activity, nicotine exposure, dietary health, sleep duration, body mass index, blood pressure, blood glucose, and lipid levels. …”
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Deep learning-assisted analysis of biomarker changes after increase of dosing from aflibercept 2 mg to 8 mg in therapy-resistant neovascular age-related macular degeneration by Siegfried Priglinger, Jakob Siedlecki, Benedikt Schworm, Franziska Eckardt, Michael Hafner, Ben Asani, Caspar Liesenhoff, Alexander Kufner, Johannes Benedikt Schiefelbein

“…All patients had previously received aflibercept 2 mg, with an average of 30.7 previous anti-VEGF injections. Significant reductions in intraretinal fluid and fibrovascular pigment epithelial detachment at timepoint V3 were observed. …”
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EEG Microstate Dynamics during Different Physiological Developmental Stages and the Effects of Medication in Schizophrenia by Shihai Ling, Lingyan Du, Xi Tan, Guozhi Tang, Yue Che, Shirui Song

“…After pre-processing, EEG data from different groups were subjected to microstate analysis, and the K-Means clustering algorithm was applied to classify the data into 4 microstates. …”
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Shifts in seasonal influenza patterns in Australia during and after COVID-19: A comprehensive analysis by Cynthia Lu, Ian G. Barr, Stephen Lambert, Kerrie Mengersen, Liping Wang, Weizhong Yang, Zhongjie Li, Sotiris Vardoulakis, Hilary Bambrick, Wenbiao Hu

“…Using generalised additive models, we compared predicted weekly influenza case counts during 2020–2022 with observed counts. …”
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Habitat analysis of iron deposition in the basal ganglia for diagnosing cognitive impairment in chronic kidney disease: evidence from a case-control study by Hao Wang, Yu Qi, Xu Liu, Li-Jun Song, Wen-Bo Yang, Ming-An Li, Xiao-Yan Bai, Mao-Sheng Xu, Hao-Nan Zhu, Si-Qing Cai, Yi Wang, Zheng-Han Yang, Yuan-Zhe Li, Zhen-Chang Wang, Yi-Fan Guo

“…Habitat-based models for diagnosing cognitive impairment were constructed using the random forest algorithm. Logistic regression was employed to build the clinical model and the combined model. …”
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Redefining the Diagnostic Approach to Adrenal Insufficiency: Re-Assessment of Baseline and Cortisol Increment Cut-Offs with the 1 µg Synacthen Test by Taieb Ach, Rim Dhaffar, Asma Ammar, Aycha Ghachem, Imen Halloul, Wiem Saafi, Hamza El Fekih, Ghada Saad, Yosra Hasni, Monia Zaouali

“…<i>Conclusions:</i> We propose a novel AI diagnostic algorithm based on a single 30 min cortisol measurement, complemented by revised baseline cortisol cut-offs and cortisol increment as additional criteria. …”
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Deep Learning Hybrid Architecture Based on Vision Transformer for Phase Analysis of Moir&#x00E9; Fringes by Dajie Yu, Junbo Liu, Chuan Jin, Yuyang Li, Kairui Zhang, Ji Zhou

“…By training on various types of Moir&#x00E9; fringe datasets, the model can predict the fringe wrapping phase, allowing for the analysis of elements within the wrapping phase, including displacement information. …”
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Near-Real-Time Global Thermospheric Density Variations Unveiled by Starlink Ephemeris by Zhuoliang Ou, Jiahao Zhong, Yongqiang Hao, Ruoxi Li, Xin Wan, Kang Wang, Jiawen Chen, Hao Han, Xingyan Song, Wenyu Du, Yanyan Tang

“…With the ephemeris data of Starlink satellites, we first apply a maneuver detection algorithm based on mean orbital elements to analyze their maneuvering behavior. …”
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Diagnostic accuracy of an app-guided, self-administered test for influenza among individuals presenting to general practice with influenza-like illness: study protocol by Nigel Stocks, Matthew Thompson, Barry Lutz, Mark Rieder, Monica Zigman Suchsland, Victoria Lyon, Monique Chilver, Philip Su, Shawna Cooper, Chunjong Park, Libby Rose Lavitt, Alex Mariakakis, Shwetak Patel, Chelsey Graham, Cynthia LeRouge

“…Secondary analyses will include accuracy of the enhanced test strip image, accuracy of an automatic test strip reader algorithm and validation of prediction rules for influenza based on self-reported symptoms. …”
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Improved leaf area index reconstruction in heavily cloudy areas: A novel deep learning approach for SAR-Optical fusion integrating spatiotemporal features by Mingqi Li, Pengxin Wang, Kevin Tansey, Fengwei Guo, Ji Zhou

“…Secondly, the 2D CNN-Transformer predicted LAI and the Sentinel-2 LAI are input into the Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion (EDCSTFN) model to further improve the accuracy. …”
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REinforcement learning to improve non-adherence for diabetes treatments by Optimising Response and Customising Engagement (REINFORCE): study protocol of a pragmatic randomised tria... by Lily G Bessette, Elad Yom-Tov, Niteesh K Choudhry, Julie C Lauffenburger, Nancy Haff, Marie E McDonnell, Constance P Fontanet, Ellen S Sears, Erin Kim, Kaitlin Hanken, Renee A Barlev, Punam A Keller, J Joseph Buckley

“…The messages will be individually adapted using a reinforcement learning prediction algorithm based on daily adherence measurements from the pill bottles. …”
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CC-Former: Urban Flood Mapping from InSAR Coherence with Vision Transformer: Libya and Storm Daniel as Test Case by T. Saleh, T. Saleh, T. Saleh, S. Holail, M. Al-Saad, F. Xu, M. Zahran, G.-S. Xia, G.-S. Xia

“…In this work, we address this problem by introducing a novel algorithm, coherence-guided change transformer (CC-Former), for urban flood mapping that leverages the coherence of interferometric SAR (InSAR) with vision transformers. …”
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Correspondence between thalamic injury-induced changes in resting-state fMRI of monkeys and their sensorimotor behaviors and neural activities by Anirban Sengupta, Pai-Feng Yang, Jamie L. Reed, Arabinda Mishra, Feng Wang, Isaac V Manzanera Esteve, Zhangyan Yang, Li Min Chen, John C. Gore

“…Electrophysiological measurements of inter-electrode coherences and end-point histological measures also aligned well with the graded injury effects measured using rsfMRI-based FC. A simple algorithm employing FC measures from the somatosensory network could accurately predict each monkeys’ behavioral recovery timeframe after four weeks post-injury. …”
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Cardiac Magnetic Resonance Imaging with Myocardial Strain Assessment Correlates with Cardiopulmonary Exercise Testing in Patients with Pectus Excavatum by André Lollert, Tariq Abu-Tair, Tilman Emrich, Karl-Friedrich Kreitner, Alexander Sterlin, Christoph Kampmann, Gundula Staatz

“…In addition to cardiac volumetry, we assessed the strain rates of both ventricles using a feature-tracking algorithm of a piece of commercially available post-processing software. …”
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A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture by Hussain Mobarak Albarakati, Muhammad Attique Khan, Ameer Hamza, Faheem Khan, Naoufel Kraiem, Leila Jamel, Latifah Almuqren, Roobaea Alroobaea

“…Numerous advantages for sustainable agricultural applications, including yield prediction, crop monitoring, and climate change adaptation, can be obtained from RS and artificial intelligence. …”
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Numerical model of surface morphology and solid-liquid contact angle in wire electrical discharge machining by Zhi Chen, Yifei Zhou, Zefeng Yang, Zhizhong Zhang, Jian Li, Guojun Zhang, Fenglin Han

“…The established numerical model has been experimentally verified to have high prediction accuracy (the relative error less than 4%). …”
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