One High-Volume Posteromedial Knee Capsular Injection Can Provide Safe Anesthetic Infiltration Across the Entire Posterior Knee Capsule by Ran Atzmon, MD, Landon Polakof, MD, Adam Wang, PhD, Seth Sherman, MD, Nicholas John Giori, MD, PhD

“…The knees were then ranged 20 times over 20 minutes before obtaining a computed tomography scan to evaluate the spread of injected contrast fluid. …”
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Assessing Safety and Sustainability of a Monitoring System for Nuclear Waste Management by Michele Di Giovanni, Laura Verde, Lelio Campanile, Mauro Romoli, Carlo Sabbarese, Stefano Marrone

“…The model computes the metrics considering geometry of the place, scheduling and trustworthiness of monitoring sensors. …”
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Design and synthesis of benzodiazepines as brain penetrating PARP-1 inhibitors by Jiang Yu, Wenfeng Gou, Haihua Shang, Yating Cui, Xiao Sun, Lingling Luo, Wenbin Hou, Tiemin Sun, Yiliang Li

“…All target compounds were evaluated for their PARP-1 inhibition activity, and compounds with better activity were selected for further assays in vitro. …”
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Effect of statins on arterial wall inflammation as assessed by 18F-FDG PET CT: an updated systematic review and meta-analysis by Tannaz Jamialahmadi, Željko Reiner, Luis E. Simental-Mendia, Wael Almahmeed, Sercan Karav, Ali H. Eid, Francesco Giammarile, Amirhossein Sahebkar

“…Therefore, in this meta-analysis the role of statins on inflammatory process in the artery wall was evaluated using this method since its actual validity for this purpose is not yet well established. …”
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The LJ System—Development and Validation of a Reliable and Simple Device for Bronchoscopic Measurement of Distances Within the Tracheobronchial Tree by Zuzana Sestakova, Sarka Nemcova, Petr Denk, Veronika Pechkova, Pavel Michalek, Jiri Votruba

“…Subsequently, ten patients were included in a pilot study evaluating this novel prototype of a measurement device. …”
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Comparison of Medical Imaging Quality Related to Embalming Solutions in Canine Cadavers by Ahsa Oh, Sung-Min Nam, Sang-Soep Nahm, Ki-Dong Eom, Woosuk Kim

“…(1) Background: This study evaluated the quality of medical imaging acquired using radiography, ultrasonography, and computed tomography (CT) in canine cadavers prepared with formalin solution, Thiel solution (TS), and saturated salt solution (SS). …”
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CD3-CD8 immune score associated with a clinical score stratifies PDAC prognosis regardless of adjuvant or neoadjuvant chemotherapy by Coralie Schoumacher, Valentin Derangère, Gwladys Gaudillière-Le Dain, Titouan Huppe, David Rageot, Alis Ilie, Angélique Vienot, Christophe Borg, Franck Monnien, Frederic Bibeau, Caroline Truntzer, François Ghiringhelli

“…CD3, CD8 and Foxp3 expression were evaluated on whole slides in two retrospective PDAC cohorts totaling 334 patients. …”
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A Monocular Camera as an Operation Logger for Motorized Mobility Scooters: Visual Odometry Method to Estimate Steering and Throttle Angles by Naoto Haraguchi, Yi Liu, Haruki Sugiyama, Kazunori Hase, Jun Suzurikawa

“…This method provides a fundamental computational technique for measuring MMS operations using camera images. …”
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Predictive modelling employing machine learning, convolutional neural networks (CNNs), and smartphone RGB images for non-destructive biomass estimation of pearl millet (Pennisetum... by Faten Dhawi, Abdul Ghafoor, Norah Almousa, Sakinah Ali, Sara Alqanbar

“…Digital tools and non-destructive monitoring techniques are crucial for real-time evaluations of crop output and health in sustainable agriculture, particularly for precise above-ground biomass (AGB) computation in pearl millet (Pennisetum glaucum). …”
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Synthetic multi-criteria decision analysis (S-MCDA): A new framework for participatory transportation planning by Jônatas Augusto Manzolli, Jiangbo Yu, Luis Miranda-Moreno

“…Based on these findings, the S-MCDA framework addresses stakeholder complexity and streamlines tasks like structuring analyses, eliciting preferences, and evaluating results. While the framework has the potentially to significantly improve consistency and decision quality, it raises concerns regarding computation, ethics, and AI over-reliance. …”
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Distilling Diverse Knowledge for Deep Ensemble Learning by Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

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Enhancing sleep stage classification with ballistocardiogram signals: feature selection using attention mechanism and XGBoost by Chao Luo, Banteng Liu, Jiayu Chai, Zhijian Teng

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Current Smoking Dose-Dependently Associated with Decreased β-Cell Function in Chinese Men without Diabetes by Chun Wang, Yijun Wang, Junxia Wu, Suyi Liu, Ying Zhu, Shurong Lv, Ping Lin, Xiaoke Wang, Yan Xu, Shali Yu, Gang Chen, Quanyong Xiang

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Reliability of nephrolithometric nomograms in patients treated with minimally invasive percutaneous nephrolithotomy: A precision study by Giorgio Mazzon, Francesco Claps, Nicola Pavan, Simon Choong, Guohua Zeng, Wenqi Wu, Jiehui Zhong, Maida Bada, Marco Pirozzi, Raffaele Vitale, Antonio Celia

“…Methods: We evaluated SFRs and CRs of 222 adult patients treated with miniaturized PNL. …”
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VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification by Muhammad Shadab Alam Hashmi, Azam Mehmood Qadri, Ali Raza, Saleem Ullah, Aseel Smerat, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani

“…The performance of multiple machine learning classifiers, including Random Forest (RF), Logistic Regression (LoR), LightGBM (LGBM), and K-Nearest Neighbor Classifier (KNC), is evaluated alongside neural network techniques such as Convolutional Neural Networks (CNN) and VGG-19. …”
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Air Quality and Healthy Ageing: Predictive Modeling of Pollutants Using CNN Quantum-LSTM by Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Bradley D. E. Mcniven, Tuan-Vu Cao, Ruth Hunter, Trung Q. Duong

“…The effectiveness of the proposed model is evaluated by comparing its performance with its equivalent classical counterpart using root mean square error (RMSE), mean absolute error (MAE), and R-squared (R2). …”
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Carotid plaque segmentation and classification using MRI-based plaque texture analysis and convolutional neural network by Zakarya Hasan Ahmed Abu Alregal, Gehad Abdullah Amran, Ali A. Al-Bakhrani, Saleh Abdul Amir Mohammad, Amerah Alabrah, Lubna Alkhalil, Abdalla Ibrahim, Maryam Ghaffar, Maryam Ghaffar

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A tri-light warning system for hospitalized COVID-19 patients: Credibility-based risk stratification for future pandemic preparedness by Chuanjun Xu, Qinmei Xu, Li Liu, Mu Zhou, Zijian Xing, Zhen Zhou, Danyang Ren, Changsheng Zhou, Longjiang Zhang, Xiao Li, Xianghao Zhan, Olivier Gevaert, Guangming Lu

“…The tri-light warning system extracts radiomic features from CT (computed tomography) and integrates clinical records to classify patients into high-risk (red), uncertain-risk (yellow), and low-risk (green) categories. …”
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Adaptive k-means clustering algorithm based on grid and domain centroid weight by Wei CAI, Guangyu SUN, Fei YANG, Bo YAO, Chuanxian LI

“…ObjectiveThe digital twin of a natural gas pipeline, constructed from physical entities, continuously generates substantial data, posing significant challenges for data mining regarding computational cost, efficiency, and scalability. The k-means clustering algorithm, a widely used data mining method, requires specifying the number of clusters, k, and relies on the selection of initial centroids which impacts computational efficiency and the risk of getting stuck in local optima. …”
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Feasibility and outcome of CT-guided lung biopsy in patients with hematological diseases and suspected fungal pneumonia by Sanjeev Kumar Sharma, Suman Kumar, Avinash Kumar Singh, Tulika Seth, Pravas Mishra, Manoranjan Mahapatra, Sanjay Sharma, Seema Tyagi, Immaculata Xess, Ruma Ray

“…This study is aimed to evaluate the feasibility and outcome of computed tomography (CT) guided lung biopsy or fine needle aspiration cytology (FNAC) in the diagnosis of fungal pneumonia in patients with hematological diseases. …”
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