Construction of a prognostic prediction model for colorectal cancer based on 5-year clinical follow-up data by Boao Xiao, Min Yang, Yao Meng, Weimin Wang, Yuan Chen, Chenglong Yu, Longlong Bai, Lishun Xiao, Yansu Chen

“…This study included 411 CRC patients who underwent surgery at Yixing Hospital and completed the follow-up process. A modeling dataset containing 73 characteristic variables was established by collecting demographic information, clinical blood test indicators, histopathological results, and additional treatment-related information. …”
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Transcriptomic and proteomic profiling identifies feline fibrosarcoma as clinically amenable model for aggressive sarcoma subtypes by Mikiyo Weber, Daniel Fuchs, Amiskwia Pöschel, Erin Beebe, Zuzana Garajova, Armin Jarosch, Laura Kunz, Witold Wolski, Lennart Opitz, Franco Guscetti, Mirja C. Nolff, Enni Markkanen

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Circulating Monocyte and Lymphocyte Populations in Healthy First-Degree Relatives of Type 2 Diabetic Patients at Fasting and during Short-Term Hyperinsulinemia by Michaela Šiklová, Eva Krauzová, Barbora Svobodová, Jana Kračmerová, Marek Štěpán, Michal Koc, Vladimír Štich, Lenka Rossmeislová

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Improved diagnosis of small cervical lymph node metastasis using postvascular phase perfluorobutane CEUS in cancer patients by Naxiang Liu, Zhaoming Zhong, Wenrong Lin, Zhongshi Du, Zhougui Wu, Songsong Wu, Lina Tang

“…The US and CEUS features were analyzed to assess the diagnostic performance of the US, vascular phase-CEUS, and postvascular phase-CEUS features, as well as their association with LN size. Results The final dataset included 229 participants (mean age, 57 years ± 11 [SD] [range, 28–80]; 121 women) with 229 suspected LNs, including 125 metastatic and 104 benign LNs. …”
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A deep learning-based method for the intelligent identification of the quantity of coals flushed out during borehole hydraulic flushing by Xiaojun LI, Mingyang ZHAO, Miao LI

“…Finally, the improved YOLOv8n algorithm was validated using a self-built dataset. Results and Conclusions The results indicate that, compared to the original algorithm, the improved YOLOv8n algorithm increased the mean average classification accuracy, recall, and precision by 7.6%, 3.5%, and 6.4%, respectively. …”
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Differential gene expression profile in Porphyromonas gingivalis treated human gingival keratinocytes and their role in the development of HNSCC by Dakshinya M, Anitha P, A.S. Smiline Girija, Paramasivam A, Vijayashree Priyadharsini J

“…Multiple tools and databases, such as GEOmnibus, STRING, Metascape, PANTHER, and UALCAN, cBioportal, were used to derive an association between gene expression during infection with P. gingivalis, and the resulting gene expression profiles were analyzed in the HNSCC dataset. Results: The study revealed 29 genes from a pool of transcripts acquired after comparing the Pg-HIGK and Sham-HIGK. …”
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Identifying corridors for Asiatic black bear (Ursus thibetanus) in a part of Eastern Himalayas, India by Malyasri Bhattacharya, Debanjan Sarkar, Sneha Pandey, Indranil Mondal, Sambandam Sathyakumar, R. Suresh Kumar, Gautam Talukdar

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Synthetic CT generation from CBCT and MRI using StarGAN in the Pelvic Region by Paritt Wongtrakool, Chanon Puttanawarut, Pimolpun Changkaew, Supakiet Piasanthia, Pareena Earwong, Nauljun Stansook, Suphalak Khachonkham

“…Materials and methods StarGAN and CycleGAN were employed in this study. The dataset comprised 53 cases of pelvic cancer. Evaluation involved qualitative and quantitative analyses, focusing on synthetic image quality and dose distribution calculation. …”
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Long time-series and high-frequency ecological evaluation of Henan section of the Yellow River by Jianzhong Guo, Daozhu Xu, Jian Xu, Ruoxin Zhu, Ning Li

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Prognosis conferred by molecular features of appendix-derived Pseudomyxoma Peritonei by Ruiqing Ma, Guojun Li, Yingjiang Ye, Lei Liang, Chong Wang, Haipeng Zhou, Pu Zhang, Lubiao An, Guanjun Shi, Qian Chen, Hongbin Xu, Zhidong Gao

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Prediksi Interaksi Drug Target pada Gen Kanker Menggunakan Metode Lasso-XGBoost by Muh Fadhil Al-Haaq Ginoga, Wisnu Ananta Kusuma, Mushthofa Mushthofa

“…Pada penelitian ini dilakukan perancangan model prediksi DTI dengan melakukan seleksi fitur pada dataset menggunakan Least Absolute Shrinkage and Selection Operator (LASSO) lalu dilakukan penyeimbangan data dengan Synthetic Minority Oversampling Technique (SMOTE) dan diprediksi menggunakan Extreme Gradient Boosting (XGBoost). …”
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Vehicle Turn Pattern Counting and Short Term Forecasting Using Deep Learning for Urban Traffic Management System by Sundarakrishnan Narayanan, Sohan Varier, Tarun Bhupathi, Manaswini Simhadri Kavali, Mohana, P. Ramakanth Kumar, K. Sreelakshmi

“…Hence, as part of the Bengaluru Mobility Challenge 2024, organized by Bengaluru Traffic Police in collaboration with The Indian Institute of Science, we propose a solution to address the issue by developing a predictive model to estimate vehicle counts by turning pattern from traffic video footage. The dataset consists of traffic video footage of 23 different junctions around Bengaluru, on which 7 vehicle classes had to be detected, namely, Car, Truck, Bus, Two-Wheeler, Three-Wheeler, Light Commercial Vehicle and Bicycle. …”
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A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections by Mengxiang Wang, Wang-Chien Lee, Na Liu, Qiang Fu, Fujun Wan, Ge Yu

“…We evaluate the proposed <i>RoadInTCP</i> model via extensive experiments on a real-world New York City traffic dataset. The experimental results show that the proposed <i>RoadInTCP</i> robustly outperforms existing methods.…”
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Spatiotemporal Variation and Driving Factors of Carbon Sequestration Rate in Terrestrial Ecosystems of Ningxia, China by Yi Zhang, Chunxiao Cheng, Zhihui Wang, Hongxin Hai, Lulu Miao

“…Based on ground observation data and multimodal datasets, the optimal machine learning model (EXT) was used to invert a 30 m high-resolution vegetation and soil carbon density dataset for Ningxia from 2000 to 2023. …”
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The Bullseye: HST, Keck/KCWI, and Dragonfly Characterization of a Giant Nine-ringed Galaxy by Imad Pasha, Pieter G. van Dokkum, Qing Liu, William P. Bowman, Steven R. Janssens, Michael A. Keim, Chloe Neufeld, Roberto Abraham

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CSGD-YOLO: A Corn Seed Germination Status Detection Model Based on YOLOv8n by Wenbin Sun, Meihan Xu, Kang Xu, Dongquan Chen, Jianhua Wang, Ranbing Yang, Quanquan Chen, Songmei Yang

“…Experiments conducted on the collected corn seed germination dataset show that CSGD-YOLO requires only 1.91 M parameters and 5.21 G floating-point operations (FLOPs). …”
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A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition by Jiawen Li, Guanyuan Feng, Chen Ling, Ximing Ren, Xin Liu, Shuang Zhang, Leijun Wang, Yanmei Chen, Xianxian Zeng, Rongjun Chen

“…Experiments were conducted using the DEAP dataset, aiming to find a suitable scheme regarding similarity measures, time windows, and input numbers of channel data. …”
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Effect of Therapeutic Inhibition of TNF on Circulating Endothelial Progenitor Cells in Patients with Rheumatoid Arthritis by F. R. Spinelli, A. Metere, C. Barbati, M. Pierdominici, C. Iannuccelli, B. Lucchino, F. Ciciarello, L. Agati, G. Valesini, M. Di Franco

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Perioperative gum-chewing training prevents a decrease in tongue pressure after esophagectomy in thoracic esophageal cancer patients: a nonrandomized trial by Reiko Yamanaka-Kohno, Yasuhiro Shirakawa, Aya Yokoi, Naoaki Maeda, Shunsuke Tanabe, Kazuhiro Noma, Kazuyoshi Shimizu, Toshiharu Mituhashi, Yoshihide Nakamura, Souto Nanba, Yurika Uchida, Takayuki Maruyama, Manabu Morita, Daisuke Ekuni

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Osteoprotegerin, Soluble Receptor Activator of Nuclear Factor-κB Ligand, and Subclinical Atherosclerosis in Children and Adolescents with Type 1 Diabetes Mellitus by Irene Lambrinoudaki, Emmanouil Tsouvalas, Marina Vakaki, George Kaparos, Kimon Stamatelopoulos, Areti Augoulea, Paraskevi Pliatsika, Andreas Alexandrou, Maria Creatsa, Kyriaki Karavanaki

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