Abstract 015: Pioneering NaF‐PET/CT Imaging for Early Detection of Atherosclerosis: Potential Implications for Neurointerventional Surgery by Eric M Teichner, Robert C Subtirelu, Arjun B Ashok, Yvonne Su, Victoria A Anderson, Milo Writer, Omar Al‐Daoud, Miraziz Ismoilov, Chitra Parikh, William Y Raynor, Sahithi Talasila, Poul F Høilund‐Carlsen, Abass Alavi, Mona‐Elisabeth Revheim

“…Introduction Cerebrovascular disease (CVD), particularly carotid artery atherosclerosis, contributes substantially to global morbidity and mortality. The ability to precisely detect atherosclerosis is crucial, as it directly influences patient management, including decisions regarding surgical interventions. …”
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Observational prospective study of social media, smartphone use and self-harm in a clinical sample of young people: study protocol by Rina Dutta, Kylee Trevillion, Ben Carter, Zohra Zenasni, Amanda Bye, Daniel Leightley, Maria Liakata, Stella Branthonne-Foster, Grace Williamson

“…This study is one of the first attempts to explore temporal patterns of real-world usage prior to self-harm, to identify whether there are usage patterns associated with an increased risk.Methods and analysis To study the mechanisms by which social media and smartphone use underpin self-harm in a clinical sample of young people, the Social media, Smartphone use and Self-harm in Young People (3S-YP) study uses a prospective, observational study design. …”
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Evaluation of Eurasian Snow Cover Fraction Prediction Based on BCC-CSM1.1m by Cheng Fei, Li Qiaoping, Shen Xinyong, Liu Yanju, Wang Jing

“…Empirical orthogonal function (EOF), spatial and temporal correlation analysis, statistical test and other common methods are also adopted. …”
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Implication of Bimodal Magnetic Resonance and Fluorescence Imaging Probes in Advanced Healthcare: Enhancing Disease Diagnosis and Targeted Therapy by Gong T, Ullah Z, Roy S, Cheng C, Li M, Cheng J, Zhang Y, Guo B, Qiu Y

“…Through systematic analysis and in vitro and in vivo evaluations, we demonstrate the ability of the probes to achieve superior spatial and temporal resolution, facilitating the accurate delineation of biological targets. …”
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DIGITAL MOBILITY OF THE FUTURE SPECIALIST: CURRENT TRENDS by Leonov Maksym

“…The individual’s professional mobility as a type of social mobility and such a relevant component of it as digital mobility has been emphasized. Spatial, temporal and contextual dimensions of digital mobility have been analysed. …”
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Relationships between the concentration of particulate organic nitrogen and the inherent optical properties of seawater in oceanic surface waters by A. Fumenia, H. Loisel, R. A. Reynolds, D. Stramski

“…Measurements of inherent optical properties (IOPs) of seawater, which can be performed over extended temporal and spatial scales from various in situ and remote-sensing platforms, represent a valuable approach to address this gap. …”
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Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study by Zhuo Zheng, Jiawei Luo, Yingchao Zhu, Lei Du, Lan Lan, Xiaobo Zhou, Xiaoyan Yang, Shixin Huang

“…ConclusionsThe TBAL model offers a robust, interpretable, and generalizable solution for dynamic real-time mortality risk prediction in ICU patients. Its ability to adapt to irregular temporal patterns and to provide hourly updated predictions positions it as a promising decision-support tool. …”
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Effects of work cessation on cognitive functioning in rural older adults in China: a cross-sectional study based on CHARLS by Xiao-hui Liu, Liang Zhu, Xiao-Yu Li, Wenwen Cheng, Ning-li Zhu, Jia-Xue Li, Sun Jing-Jing, Si-Yu Zhang, Dong-Guang Wang

“…Given that cognitive disorders affect 6.04% of individuals aged 60 and above—with higher prevalence in rural areas—understanding this relationship is critical.Design A cross-sectional study was employed, using data from the 2020 wave of the China Health and Retirement Longitudinal Study (CHARLS). Regression analysis assessed the impact of work cessation on cognitive function and the moderating effects of social activities, health behaviours and internet use.Setting Data were collected from 150 districts, 450 villages, and urban community units in China.Participants The study included 6,318 participants, with 4,045 currently employed and 2,273 no longer working.Main outcome measures Cognitive function was evaluated using measures of mathematical computation, temporal and image cognition, and situational memory was tested through 20 memory-related questions. …”
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Altered cortical thickness associated with psychotic symptoms and cognitive profiles in involuntarily hospitalized, first-episode, drug-naive patients with schizophrenia by Ruru Tang, Ruru Tang, Wei Zhang, Xinyu Fang, Xuran Shen, Bin Zuo, Longyan Ni, Wei Yan, Rongrong Zhang, Shiping Xie

“…Partial correlation analysis revealed that in the involuntarily hospitalized patients, the left posterior cingulate gyrus had a negative correlation with general symptoms, while the right temporal pole showed a positive correlation with negative symptoms. …”
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A Forecasting Method for COVID-19 Epidemic Trends Using VMD and TSMixer-BiKSA Network by Yuhong Li, Guihong Bi, Taonan Tong, Shirui Li

“…First, variables highly correlated with the target sequence are selected through correlation analysis to construct a feature matrix, which serves as one input branch. …”
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‘You can sleep hungry just to buy the medicine’: Applying a patient-centred model of cumulative complexity to explore how patients manage the lifelong workload of hypertension care... by Ruth Willis, Daniel Mbuthia, Mary Gichagua, Jacinta Nzinga, Carl May, Peter Mugo, Adrianna Murphy

“…Four inter-related domains of patient capacity influenced patients' ability to do this work: individual financial resources; physical functioning; social support and religious faith. …”
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Prediction of respiratory diseases based on random forest model by Xiaotong Yang, Xiaotong Yang, Yi Li, Yi Li, Lang Liu, Lang Liu, Zengliang Zang, Zengliang Zang

“…Additionally, a predictive analysis of medical visits in Tianjin for the year 2019 was conducted. …”
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Software-architectural configuration of the multifunctional audio digital signal processor module for signal mediatesting of audio devices by A. V. Gevorsky, M. S. Kostin, K. A. Boikov

“…Visual-graphical architectural programming of audio modules in the SigmaStudio and Flowstone, as well as algorithms for real-time signal audio measurements and analysis of experimental data in the REW and Soundcard Oscilloscope are used.Results. …”
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Artificial intelligence versus expert: a comparison of rapid visual inferior vena cava collapsibility assessment between POCUS experts and a deep learning algorithm by Michael Blaivas, Srikar Adhikari, Eric A. Savitsky, Laura N. Blaivas, Yiju T. Liu

“…Methods We used publicly available long short term memory (LSTM) deep learning basic architecture that can track temporal changes and relationships in real‐time video, to create an algorithm for ultrasound video analysis. …”
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Lower Extremity Stretch-Shortening Cycle Performance in the Vertical and Horizontal Direction as Key Determinants of Success in Collegiate Male Taekwondo by Chieh-Ying Chiang, Yi-Chien Chiang, Hsuan-Yu Lin, Hao-Che Tseng, Mu-Yen Chu, Jung-San Chang

“…Eccentric and concentric phase measures from CMJ and distant and temporal variables of SLLH were collected for further analysis. …”
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The processing of familiar English L2 phrasal verbs in neutral and biased sentence contexts by Jianyao Yu, Jianyao Yu, Siya Wang, Siya Wang, Ping Zhang, Tai’an Chen, Tai’an Chen

“…Our findings suggest that teaching strategies should focus on enhancing learners’ ability to recognize figurative meanings. This approach could improve reading comprehension by promoting learner awareness of PVs as whole lexical units. …”
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Urban road collapse risk assessment based on the extended xLSTM Network by Jiahao Zhou, Juncai Jiang, Yizhao Wang, Wenfeng Bai, Fei Wang, Long Chen, Qinglun He

“…Furthermore, the method's effectiveness was validated by an analysis of actual incidents that occurred in Foshan; thus, its ability to generate accurate and timely detections and provide early warnings for high-risk road sections in urban areas was confirmed.…”
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Dynamic Modeling and Simulation of Wind Turbine Unit Primary Frequency Regulation Considering Multi-domain Coupling Characteristics by Zhanyang JI, Yang HU, Lingxing KONG, Ziqiu SONG, Dan DENG, Jizhen LIU

“…The results show that the state space model obtained has good interpretability, but the model structure inherently limits its approximation accuracy to a finite degree; in comparison, the temporal neural network model demonstrates a better ability to capture dynamic characteristics, providing a robust model foundation for subsequent optimization control of the unit's primary frequency modulation.…”
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Using handheld mobile laser scanning to quantify fine-scale surface fuels and detect changes post-disturbance in northern California forests by Alanna J. Post, Brieanne Forbes, Zane Cooper, Kristi Faro, Catherine Seel, Matthew Clark, Mathias Disney, Lisa Patrick Bentley

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Multi-omics of a model bacterial consortium deciphers details of chitin decomposition in soil by Ryan McClure, Albert Rivas-Ubach, Kim K. Hixson, Yuliya Farris, Marci Garcia, Robert Danczak, Michelle Davison, Vanessa L. Paurus, Janet K. Jansson

“…Here, we sought to address this challenge by analysis of a model soil consortium (MSC-2) consisting of eight soil bacterial species. …”
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