Recurrent intraductal papillary neoplasm of the bile duct due to intraductal dissemination: a case report and literature review by Yuki Nakayama, Takahiro Tomino, Mizuki Ninomiya, Ryosuke Minagawa, Yumi Oshiro, Takuma Izumi, Daisuke Taniguchi, Kosuke Hirose, Yuichiro Kajiwara, Kazuhito Minami, Takashi Nishizaki

“…Computed tomography (CT) findings confirmed a mass in the left hepatic duct. …”
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Comparison of the clinical and functional outcomes of two immobilisation protocols after arthroscopic peripheral triangular fibrocartilage complex (TFCC) repair in adults: a single... by Anil K Bhat, Ashwath Acharya, Deepthi Paraj, Manjula Anil Kunder

“…The primary outcomes will be evaluated by the weight-bearing press test and the ballottement test. …”
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Laparoscopic resection of a metastatic myxoid liposarcoma in the mesentery of the small intestine: a case report by Fumika Kamehama, Tatsuya Kinjo, Yoshihiro Miyagi, Tomonori Furugen, Takao Teruya, Tomoko Tamaki, Naoki Wada, Mitsuhisa Takatsuki

“…Case presentation A 60-year-old female patient was referred to our hospital for the evaluation of a right upper limb tumor that had been growing for 7 years. …”
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Successful surgical management of massive hemoretroperitoneum caused by spontaneous rupture of retroperitoneal lymph node metastases in a patient with advanced mixed germ cell tumo... by Konstantinos Vasiliadis, Chrysanthi Simou, Anastasios Tzotzou, Nikolaos Kalinderis, Dimitrios Valoukas, Elsa Pazarli, Paulos Drakontaidis, Christos Papavasiliou

“…Case presentation We report on a 25-year-old male patient with a 4-month history of orchiectomy for testicular GCT (tGCT), who presented in the emergency department with acute abdomen and hemodynamic instability. Urgent computed tomography scan depicted a retroperitoneal mass measuring approximately 13 × 11.4 × 15 cm and massive intraperitoneal hemorrhage. …”
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Machine-learning synergy in high-entropy alloys: A review by Sally Elkatatny, Walaa Abd-Elaziem, Tamer A. Sebaey, Moustafa A. Darwish, Atef Hamada

“…However, owing to their complex chemical makeup, understanding the underlying physical mechanisms and designing novel alloys through traditional theoretical and computational methods are challenging. Machine learning (ML) offers a promising solution to address these challenges. …”
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BrainTumNet: multi-task deep learning framework for brain tumor segmentation and classification using adaptive masked transformers by Cheng Lv, Xu-Jun Shu, Xu-Jun Shu, Quan Liang, Jun Qiu, Zi-Cheng Xiong, Jing bo Ye, Shang bo Li, Cheng Qing Liu, Jing Zhen Niu, Sheng-Bo Chen, Hong Rao

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Catenation between mHealth application advertisements and cardiovascular diseases: moderation of artificial intelligence (AI)-enabled internet of things, digital divide, and indivi... by Syed Hassan Raza, Uzma Norin, Emenyeonu C. Ogadimma, Umer Zaman, Amjad Ali Shah, Shumaila Khan, Hend Khalid Alkahtani, Mohammed Alkhowaiter, Sajid ullah khan

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Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospec... by Kohji Nishida, Ryo Kawasaki, Yiming Qian, Liangzhi Li, Yuta Nakashima, Hajime Nagahara

“…In MACE prediction, our model outperformed the traditional score-based models, with 8.2% higher AUC than Systematic COronary Risk Evaluation (SCORE), 3.5% for SCORE 2 and 7.1% for the Framingham Risk Score (with p value<0.05 for all three comparisons).Conclusions Our algorithm estimates the 5-year risk of MACE based on retinal images, while explicitly presenting which risk factors should be checked and intervened. …”
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A novel Z-shaped anti-rotation rod for atlantoaxial dislocation reduction: finite element analysis by Mandi Cai, Rencai Ma, Junlin Chen, Xinzhao Huang, Yixing Zhang, Zhuohang Xie, Xiaobao Zou, Xiangyang Ma

“…We developed a novel Z-shaped anti-rotation rod to improve reduction capability, but its biomechanical performance requires evaluation. Methods A nonlinear atlantoaxial instability three-dimensional (3D) C0-C3 finite element model was constructed using computed tomography images from a 25-year-old healthy male without a history of cervical spine diseases. …”
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Cellular reactions to three-dimensional matrices of polylactic acid and hydroxyapatite generated by 3D-printing by T. V. Druzhinina, S. Ya. Talalaev, N. P. Zakirov, S. V. Shchadenko, Sh. A. Khabibulin, I. A. Khlusov, L. S. Litvinova

“…Biological trials included the evaluation of 24-hour cytotoxicity of 8 mm samples in culture of mononuclear leukocytes of a healthy volunteer or human Jurkat T cell leukemia-derived cell line (hereafter Jurkat T cells). …”
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Low health literacy is associated with patient–clinician discrepancy in the perceived severity of medical emergencies by Matthias Nuernberger, Thomas Lehmann, Stefan Brodoehl, Jutta Huebner, Jan-Christoph Lewejohann

“…Three discrepancy indices were computed from age-, gender-, and education-adjusted assessments. …”
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The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer by Zheng Dou, Jiaxi Lin, Chenghao Lu, Xiaoting Ma, Ruoxu Zhang, Jinzhou Zhu, Songbing Qin, Chao Xu, Jinli Li

“…Pre-treatment contrast-enhanced computed tomography (CT), magnetic resonance imaging (MRI) images, and clinical features were collected. …”
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Exploring the SARS-CoV-2 spike protein destabilizer toxin from the scorpion, spider, and wasp group of toxins as a promising candidate for the identification of pharmacophores agai... by Mousa O. Germoush, Maged Fouda, Mohammad J. S. Mantargi, Moustafa Sarhan, Barakat M. AlRashdi, Diaa Massoud, Ahmed E. Altyar, Mohamed M. Abdel-Daim

“…Methods: The active protein structure of the SARS-CoV-2, the toxins chosen obtained from the protein data bank RCSB-PDB, and the molecular structures of toxins that were not proteins were either obtained from PubChem or downloaded as computer structure models (CSM) from RCSB-PDB. Utilizing molecular docking software like ‘PyRx', analyzers like ‘BIOVIA-Discovery studios' and ‘Pymol' and various techniques, the evaluation of the interactions between the spike protein and toxin was performed, to find possible pharmacophores that might serve as a foundation for upcoming medication development. …”
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Does Artificial Intelligence Bring New Insights in Diagnosing Phlebological Diseases?—A Systematic Review by Sergiu-Ciprian Matei, Sorin Olariu, Ana-Maria Ungureanu, Daniel Malita, Flavia Medana Petrașcu

“…The future of AI in venous diagnostics is promising, and several areas of development were noted, including AI algorithms embedding directly into ultrasound devices to provide instantaneous diagnostic insights during patient evaluations; combining AI-processed Doppler data with other imaging modalities, such as computed tomography or MRI, for comprehensive assessments; AI usage in order to predict disease progression and tailor treatment strategies based on individual patient profiles; and constructing large-scale, multicenter datasets to improve the robustness and generalizability of AI algorithms.…”
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An Operational Status Assessment Model for SF₆ High-Voltage Circuit Breakers Based on IAR-BTR by Ningfang Wang, Yujia Wang, Yifei Zhang, Ci Tang, Chenhao Sun

“…Therefore, real-time condition monitoring and accurate assessment of SF₆ circuit breakers along with science-based maintenance strategies derived from evaluation results hold significant engineering value for ensuring secure and stable grid operation and preventing major failures. …”
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A Novel Hybrid Architecture With Fast Lightweight Encoder and Transformer Under Attention Fusion for the Enhancement of Sand Dust and Haze Image Restoration by Muhammad Khawaja Kashif Masood, Enrique Nava Baro, Pablo Otero

“…The results show that the proposed method outperforms all previous conventional and advanced deep learning methods in terms of visual quality, evaluation metrics, training and testing time, and novel EEI.…”
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Development and validation of a nomogram for predicting acute kidney injury risks in patients undergoing acute stanford type A aortic dissection repair surgery by Wentao Li, Weiguang Yu, Ying Chen, Wenyun Tan, Fan Zhang, Yingqi Zhang

“…The study involved a comprehensive evaluation of 36 variables, categorizing patients into non-AKI and AKI groups. …”
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LONP1 targets HMGCS2 to protect mitochondrial function and attenuate chronic kidney disease by Mi Bai, Mengqiu Wu, Mingzhu Jiang, Jia He, Xu Deng, Shuang Xu, Jiaojiao Fan, Mengqiu Miao, Ting Wang, Yuting Li, Xiaowen Yu, Lin Wang, Yue Zhang, Songming Huang, Li Yang, Zhanjun Jia, Aihua Zhang

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Design and test of steam-injected continuous scrambled egg device by Liangyu Xue, Xiaojia Hu, Bo Qi, Yibing Yuan, Wensong Wei, Ping Yang, Xin Ai, Fangting Fu, Chunhui Zhang

“…By establishing calibration curves for egg, oil, and steam flow rates, determining the key parameters of the equipment, and simulating the heat transfer process between steam and egg by Computational Fluid Dynamics (CFD), we created the device and verified its production performance. …”
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Accuracy assessment of removable partial denture frameworks fabricated by selective laser melting using two different workflows: A cross-over clinical study by Mohamed Elgamal, Abdallah Mohammed Ibrahim, Basem Tarek Fadl, Nourhan Ahmed Ragheb

“…Abstract Background Rapid advancements in computer-aided design and computer-aided manufacturing (CAD-CAM) have opened new pathways in the fabrication of removable partial dentures (RPDs). …”
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