Clinical characteristics and predictive models of HER2-low breast cancer patients who only received adjuvant chemotherapy: a real-world retrospective multicenter study by Qinchuan Wang, Yuying Wang, Zikang Chen, Yuqing Chao, Lin Chen, Wenjing Li, Xia Yang, Zhinong Jiang, Xiaoyan Li, Bo Gao, Wenxian Hu, Jichun Zhou, Linbo Wang, Haitao Li, Jun Zhang, Qiong Ding, Xudong Lv, Hao Zhang, Heming Zheng

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A novel prognostic model utilizing TMTV and SUVmax from 18F-FDG PET/CT for predicting overall survival in patients with extranodal NK/T- cell lymphoma by Hua Wang, Demei Feng, Yiwen Mo, Huangming Hong, Yingying Hu, Li Huang, Xiaolei Wei, Yajun Li, Haibin Huang, Runhui Zheng, Yonghua Li, Hui Zeng, Robert Peter Gale, Tian Ying, Jing Guo, Zhenshu Xu, Wei Fan, Tongyu Lin

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Validation of machine learning-based models to predict and explain the risk of ovarian cancer: a multicentric study on BRCA-mutated patients undergoing risk-reducing salpingo-oopho... by Vera Loizzi, Vera Loizzi, Maria Colomba Comes, Francesca Arezzo, Adriana Ionelia Apostol, Adriana Ionelia Apostol, Samantha Bove, Annarita Fanizzi, Robert Fruscio, Robert Fruscio, Vanesa Gregorc, Francesco Legge, Rosanna Mancari, Claudia Marchetti, Claudia Marchetti, Serena Negri, Serena Negri, Giorgia Russo, Laura Vertechy, Giovanni Scambia, Giovanni Scambia, Raffaella Massafra, Gennaro Cormio, Gennaro Cormio

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Possibilities for predicting ventricular tachyarrhythmias in patients with heart failure with reduced ejection fraction based on surface electrocardiography. First results from a s... by N. N. Ilov, O. N. Surikova, S. A. Boytsov, D. A. Zorin, A. A. Nechepurenko

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Multi‑omics identification of a novel signature for serous ovarian carcinoma in the context of 3P medicine and based on twelve programmed cell death patterns: a multi-cohort machin... by Lele Ye, Chunhao Long, Binbing Xu, Xuyang Yao, Jiaye Yu, Yunhui Luo, Yuan Xu, Zhuofeng Jiang, Zekai Nian, Yawen Zheng, Yaoyao Cai, Xiangyang Xue, Gangqiang Guo

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Predicting piglet survival until weaning using birth weight and within-litter birth weight variation as easily measured proxy predictors by J.M. Mbuthia, C. Kasper, M. Zenk, G. Bee, C.C. Metges, G. Daş

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Auditory cortex neurons that encode negative prediction errors respond to omissions of sounds in a predictable sequence. by Amit Yaron, Tomoyo Shiramatsu-Isoguchi, Felix B Kern, Kenichi Ohki, Hirokazu Takahashi, Zenas C Chao

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iVRPM: Conceptual Proposal of an Immersive Virtual Reality Pedagogical Model by Daniela Rocha Bicalho, João Piedade, João Filipe Matos

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The Effect of Climate Change on Indicator Wetland Insects: Predicting the Current and Future Distribution of Two Giant Water Bugs (Hemiptera: Belostomatidae) in South Korea by Seon Yi Kim, Changseob Lim, Ji Hyoun Kang, Yeon Jae Bae

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Exploring using HBsAg to predict interferon treatment course to achieve clinical cure in chronic hepatitis B patients: a clinical study by Fei Yan, Fei Tang, Jing Chen, YiCheng Lin, XinYu Chen, Qin Du, WeiLi Yin, Jing Liang, Lei Liu, Fang Wang, BaiGuo Xu, Qing Ye, HuiLing Xiang

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A stochastic weather generator based framework for generating ensemble sub-monthly precipitation for streamflow prediction by Lu Yang, Jie Chen, Xunchang John Zhang, Lihua Xiong

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A hybrid time series forecasting approach integrating fuzzy clustering and machine learning for enhanced power consumption prediction by Khalaf Alsalem

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Highway Rest Area Truck Parking Occupancy Prediction Using Machine Learning: A Case Study from Poland by Artur Budzyński, Maria Cieśla

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Enhanced CO₂ Emissions Prediction Using Temporal Fusion Transformer Optimized by Football Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally

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Phenology-Based Maize and Soybean Yield Potential Prediction Using Machine Learning and Sentinel-2 Imagery Time-Series by Dorijan Radočaj, Ivan Plaščak, Mladen Jurišić

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Assessing Habitat Suitability for <i>Phloeosinus aubei</i> Perris in China: A MaxEnt-Based Predictive Analysis by Sabbir Ahmad, Danping Xu, Xinqi Deng, Zhipeng He, Habib Ali, Zhihang Zhuo

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Optimized prediction of diabetes complications using ensemble learning with Bayesian optimization: a cost-efficient laboratory-based approach by Dapeng Yan, Xiaohan Li, Yifan Wang, Zhikuang Cai

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Computer-based music production: Specifics of professional training by A. A. Konovalov, N. I. Butorina

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Piloting the Appreciative Tuning Protocol: Improving Integration through a Collaborative Professional Development Model by Teresa S. Foulger, Ashleigh King, Shyla Gonzalez-Dogan

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Merging Real-Time NIR and Process Parameter Measurements in a Fluidized Bed Granulation Process to Predict Particle Size by Ozren Jovic, Marcus O’Mahony, Samuel Solomon, David Egan, Chris O’Callaghan, Caroline McCormack, Ian Jones, Patrick Cronin, Gavin M. Walker, Rabah Mouras

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