Association Between the Effectiveness and Magnitude of Foot Microcirculation Assessed by Radionuclide Angiography and One Year Limb Outcomes in Patients with Chronic Limb Threateni... by Takuya Hashimoto, Yoshitaka Kumakura, Kenichi Ichikawa, Satoshi Yamamoto, Takashi Endo, Masaya Sano, Osamu Sato, Juno Deguchi

“…Objective: Microcirculation focused evaluations may provide physiological insights that complement those of the established clinical criteria for patients with chronic limb threatening ischaemia (CLTI), since complex treatments are needed in this high risk population. …”
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Fluorescence by 5-aminolevulinic acid-induced protoporphyrin IX varies in tumor and normal tissues during robot-assisted partial nephrectomy for renal cell carcinoma by Takashi Matsuoka, Issei Suzuki, Ryosuke Suzuki, Arinobu Fukunaga, Yoichiro Tohi, Yoshio Sugino, Takuya Okada, Mutsushi Kawakita

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Sensitivity of patient-specific physiological and pathological aortic hemodynamics to the choice of outlet boundary condition in numerical models by Tianai Wang, Christine Quast, Florian Bönner, Tobias Zeus, Malte Kelm, Teresa Lemainque, Ulrich Steinseifer, Michael Neidlin

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Integrating Computational Analysis of In Vivo Investigation of Modulatory Effect of <i>Fagonia cretica</i> Plant Extract on Letrozole-Induced Polycystic Ovary Syndrome in Female Ra... by Ayesha Qasim, Hiram Calvo, Jesús Jaime Moreno Escobar, Zia-ud-din Akhtar

“…Key biochemical parameters—including serum testosterone, insulin, fasting blood glucose, insulin resistance (HOMA-IR), cholesterol, triglycerides, and lipoprotein levels—were measured. Ultrasound imaging and histopathological analysis of ovarian tissues were also performed. …”
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Advanced machine learning and experimental studies of polypropylene based polyesters tribological composite systems for sustainable recycling automation and digitalization by Abrar Hussain, Jakob Kübarsepp, Fjodor Sergejev, Dmitri Goljandin, Irina Hussainova, Vitali Podgursky, Kristo Karjust, Himanshu S. Maurya, Ramin Rahmani, Maris Sinka, Diāna Bajāre, Anatolijs Borodiņecs

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The role of 18F-FDG PET/MRI in assessing pathological complete response to neoadjuvant chemotherapy in patients with breast cancer: a systematic review and meta-analysis by Milad Ghanikolahloo, Hayder Jasim Taher, Ayoob Dinar Abdullah, Mahsa Asadi Anar, Ali Tayebi, Rahil Rahimi, Faranak Olamaeian, Nima Rahimikashkooli, Nima Kargar

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Time Series Analysis of Mining-Induced Subsidence Using Small Baseline Subset Interferometric Synthetic Aperture Radar (Wanli Mining Area, Inner Mongolia, China) by Xinlei Xue, Jinzhu Ji, Guoping Li, Huaibin Li, Qi Cao, Kai Wang

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TDP-SAR: Task-Driven Pruning Method for Synthetic Aperture Radar Target Recognition Convolutional Neural Network Model by Tong Zheng, Qing Wu, Chongchong Yu

“…Synthetic aperture radar (SAR) target recognition plays a crucial role in SAR image interpretation. While deep learning has become the predominant approach for SAR target recognition, existing methods face practical deployment challenges due to excessive model complexity. …”
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Diagnostic challenges of carpal tunnel syndrome in patients with congenital thenar hypoplasia: a comprehensive review by Hamed Naghizadeh, Omid Salkhori, Shahram Akrami, Seyyed saeed Khabiri, Aidin Arabzadeh

“…This review highlights the diagnostic complexities arising from this overlap and evaluates existing clinical, imaging, and electrophysiological assessment methods. …”
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Red-KPLS Feature Reduction with 1D-ResNet50: Deep Learning Approach for Multiclass Alzheimer’s Staging by Syrine Neffati, Ameni Filali, Kawther Mekki, Kais Bouzrara

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Study influence of defects on the natural oscillation frequencies parts power plants by O. V. Vladimirov, A. R. Zagretdinov, I. V. Ivshyn, M. F. Nizamiev

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Spectacularisation urbaine et logement social : la place des Habitations Jeanne-Mance dans le Quartier des spectacles de Montréal by Guillaume Ethier, Antonin Margier

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Untangling iron threads: A deep dive into plant intracellular pools by Alexandra Leskova, Tou C. Xiong, Stéphane Mari, Catherine Curie

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Examining the nexus of infrastructure development and economic growth: Evidence from SAARC countries by Vinay Khandelwal, Varun Chotia, Prashant Sharma, Swati Soni, Sushil Kalyani

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Tumor ViT-GRU-XAI: Advanced Brain Tumor Diagnosis Framework: Vision Transformer and GRU Integration for Improved MRI Analysis: A Case Study of Egypt by Mohammed Aly, Abdullatif Ghallab, Islam S. Fathi

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Multimodal malware classification using proposed ensemble deep neural network framework by Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud

“…This study presents a state-of-the-art malware analysis framework that employs a multimodal approach by integrating malware images and numeric features for effective malware classification. …”
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Quantitative characteristics of microstructure of shale reservoirs with different lithofacies in Dongying Sag， Jiyang Depression by NI Liangtian, DU Yushan, JIANG Long, YANG Feng, SUN Hongxia, FENG Mingshi, LIU Zupeng, LÜ Shichao, WANG Yunhe, LI Weizhong, LI Zhongxin

“…The “high-magnification large-field quantitative analysis methods” combining argon ion polishing and FE-SEM imaging were employed to comparatively analyze reservoir space types and quantitative pore structure characteristics of different lithofacies. …”
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MODELS OF MAJOR ADVERSE CARDIAC EVENT RISK USING RESULTS OF EXERCISE STRESS ECHOCARDIOGRAPHY WITH NONINVASIVE CORONARY ARTERY FLOW ASSESSMENT IN PATIENTS WITH ISCHEMIC HEART DISEAS... by A. V. Zagatina, N. T. Zhuravskaya, S. A. Sayganov

“…However, data of the prognostic value obtained from a complex analysis of contractility disorders and coronary blood flow parameters during exercise tests in the world literature are still not available. …”
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From radiolabeling to receptor quantification: preclinical assessment of [99mTc]Tc-carvedilol as a cardiac β-adrenoceptor probe by Hala F. Azhari

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Analyzing Diagnostic Reasoning of Vision–Language Models via Zero-Shot Chain-of-Thought Prompting in Medical Visual Question Answering by Fatema Tuj Johora Faria, Laith H. Baniata, Ahyoung Choi, Sangwoo Kang

“…Medical Visual Question Answering (MedVQA) lies at the intersection of computer vision, natural language processing, and clinical decision-making, aiming to generate accurate responses from medical images paired with complex inquiries. Despite recent advances in vision–language models (VLMs), their use in healthcare remains limited by a lack of interpretability and a tendency to produce direct, unexplainable outputs. …”
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