Rice-SVBDete: a detection algorithm for small vascular bundles in rice stem’s cross-sections by Xiaoying Zhu, Weiyu Zhou, Jianguo Li, Jianguo Li, Mingchong Yang, Mingchong Yang, Haiyu Zhou, Haiyu Zhou, Jiada Huang, Jiada Huang, Jiahua Shi, Jun Shen, Guangyao Pang, Lingqiang Wang, Lingqiang Wang, Lingqiang Wang

“…However, the detection of small vascular bundles from cross-sectional images is challenging due to their tiny size and the noisy background typically present in microscopy images.MethodsTo address these challenges, we propose Rice-SVBDete, a specialized deep learning-based detection algorithm for small vascular bundles in rice stem cross-sections. …”
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A Coherent Approach-Based Fine-Tuning of Segment Anything Model Plus Watershed Algorithm for Instance Segmentation of Mitochondria in Electron Microscopy Images by Zahra Faska, Lahbib Khrissi, Imadeddine Mountasser, Khalid Haddouch, Nabil El Akkad, Samah Alshathri, Walid El-Shafai

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Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer by Lin Ni, Lin Ni, He Li, Yanqi Cui, Wanqiu Xiong, Shuming Chen, Hancong Huang, Zhiwei Wang, Hu Zhao, Hu Zhao, Hu Zhao, Bing Wang, Bing Wang, Bing Wang

“…ObjectivesIn this study, we constructed a model based on circadian rhythm associated genes (CRRGs) to predict prognosis and immune infiltration in patients with breast cancer (BC).Materials and methodsBy using TCGA and CGDB databases, we conducted a comprehensive analysis of circadian rhythm gene expression and clinicopathological data. …”
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Group psychological counseling-based growth mindset intervention to promote active aging behaviors in older people: protocol for a randomized controlled trial by Xiaohua Xiao, Yunying Zhu, Dongdong Jiang, Anna Vinnikova, Jin Zhang, Ruotong Zhang, Wenxiao Chen, Sisi Li, Jingwen Wang, Mingyuan Sheng, Joseph T. F. Lau, Qian Yang

“…Indicators of active aging and positive psychology orientation, including growth mindset, active learning behaviors, active health behavior, active social participation behaviors, and active self-security behaviors will be evaluated to verify intervention effects at four timepoints (baseline, after the intervention, one month and three months after the intervention). …”
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Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender,... by Thu T Nguyen, Xiaohe Yue, Heran Mane, Kyle Seelman, Penchala Sai Priya Mullaputi, Elizabeth Dennard, Amrutha S Alibilli, Junaid S Merchant, Shaniece Criss, Yulin Hswen, Quynh C Nguyen

“… BackgroundA major challenge in sentiment analysis on social media is the increasing prevalence of image-based content, which integrates text and visuals to convey nuanced messages. …”
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Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network by Binbin ZHANG, Zhuyun CHEN, Fei ZHANG, Gang JIN

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Optimization and Benchmarking of Image Segmentation for Improved Landmark Detection in Lower Limb X-Rays and Accurate Coronal Plane Alignment of the Knee Classification by Sebastian Amador Sanchez, Ashkan Zarghami, Philippe van Overschelde, Jef Vandemeulebroucke

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Video Segmentation of Wire + Arc Additive Manufacturing (WAAM) Using Visual Large Model by Shuo Feng, James Wainwright, Chong Wang, Jun Wang, Goncalo Rodrigues Pardal, Jian Qin, Yi Yin, Shakirudeen Lasisi, Jialuo Ding, Stewart Williams

“…To enable feedback control based upon this information, an automatic and robust segmentation method for monitoring of videos and images is required. …”
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Enhancing medical students’ understanding of end-of-life care ethics and law through video-triggered expert-led debriefing: a two-stage study by Yuan-Ping Chao, Yu-Lun Tsai, Daphne Yih Ng, Jen-Jiuan Liaw, Chung-Pei Fu, Chih‑Chia Wang

“…Seven of the eight knowledge-based questions and four of the seven learning motivation items showed significant improvement in the posttest (P < 0.05). …”
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An Artificial Intelligence Solution for Automated Dental Inspection and Charting by M.A. Moufti, M. Abu Talib, S. Al Mokdad, A. Alhouria, M. Alsaffarini, N. Almahmeed, S. Eldessouky, W. Kharoufah, Q. Nasir

“…We aim to develop a deep-learning-based real-time charting using intra-oral videos. …”
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Forest aboveground carbon storage estimation and uncertainty analysis by coupled multi-source remote sensing data in Liaoning Province by Hancong Fu, Hengqian Zhao, Ge Liu, Yujiao Zhang, Xiadan Huangfu, Jinbao Jiang

“…Owing to the difficulty of one-to-one matching between spaceborne LiDAR spots and satellite image pixels, geographical correlation was performed to extract the average pixel value of multiple pixels covered by the light spot based on an area-weighting method as the model’s input features. …”
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Participation of non-linguistic university students in projects as a motivation factor for developing foreign language communicative competence (based on the example of youth proje... by Nataliia A. Grishchenko, Victoria V. Kornienko, Elizaveta A. Molokova, Elena A. Molokova

“…Materials and methods. The article is based on the experience of SibFU students in project management activity: the КрасWorld project, implemented as a part of the Твой Ход Russian Student Project and the Eurasia Global International Youth Forum. …”
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AutoML for calorific value prediction using a large database from the coal gasification practices in China by Yuchao Guo, Xia Liu, Yunfei Gao, Xiaoyu Wang, Lu Ding, Weitong Pan, Cheng Hua, Yulian He, Xueli Chen, Zhenghua Dai, Guangsuo Yu, Fuchen Wang

“…Abstract Calorific value is one of the most important properties of coal. Machine learning (ML) can be used in the prediction of calorific value to reduce experimental costs. …”
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A Semi-Automated, Hybrid GIS-AI Approach to Seabed Boulder Detection Using High Resolution Multibeam Echosounder by Eoin Downing, Luke O’Reilly, Jan Majcher, Evan O’Mahony, Jared Peters

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Robust Real-Time Cancer Tracking via Dual-Panel X-Ray Images for Precision Radiotherapy by Jing Wang, Jingjing Dai, Na Li, Chulong Zhang, Jiankai Zhang, Zuledesi Silayi, Haodi Wu, Yaoqing Xie, Xiaokun Liang, Huailing Zhang

“…This study introduces an innovative, deep learning-based approach for real-time, markerless lung tumor tracking utilizing orthogonal X-ray projection images. …”
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A novel muirhead mean operators based decision algorithm with applications in the orientation of basketball players using circular q-rung orthopair fuzzy information by Changyou Wang

“…Abstract Modern basketball players depend on decision-making techniques to enhance their position orientation and performance results. The way a player positions, together with their effectiveness and gameplay strategy, changes based on what they have learned and the amount of experience they have gained. …”
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A Low‐Latitude Three‐Dimensional Ionospheric Electron Density Model Based on Radio Occultation Data Using Artificial Neural Networks With Prior Knowledge by Ding Yang, Hanxian Fang

“…Our work demonstrates a new possibility of applying deep learning methods with prior knowledge to a broader field of geosciences, particularly for problems of prediction.…”
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Learning from the best: How medical-students construct role models in general practice during the COVID-19 pandemic and what factors influence this process, a qualitative study. [v... by Hamish Sutcliffe, Jane Andrews, Patrick Odonnell

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Behaviors and influencing factors of Chinese oncology nurses towards frailty care: A cross-sectional study based on knowledge-attitude-practice theory in 2024. by Xiaoxue Chen, Fang Xiao, Yuhua Miao, Huiying Qin, Lirong Yang, Fang Shen, Xiuhong Yuan

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Peer patient round table: FNP student evaluation of clinical performance by Marjorie Young, Carey Cole, Eunyoung Lee

“…Several positive aspects of PPRT were highlighted: the dynamic peer interaction, the evolution of thought processes through three different viewpoints/roles, and students challenging themselves to think out of the box based on each role, along with greater responsibility and independence to complete the patient visit. …”
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