Unlocking Chemotherapy Success: The Role of Diffusion Tensor Imaging in Breast Cancer Treatment by Anca Ileana Ciurea, Ioana Bene, Paul Cheregi, Thea Brad, Cristiana Augusta Ciortea, Georgeta Mihaela Rusu, Larisa Dorina Ciule, Andrada-Larisa Deac, Manuela Lavinia Lenghel

“…This study included 23 patients with 27 malignant masses, comparing changes in DTI parameters with Residual Cancer Burden (RCB) scores. …”
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Compact, Broadband, and High-Gain Four-Port MIMO Antenna for Future Millimeter Wave Applications by Esraa Mousa Ali, Shine Let Gunamony, Mohamad A. Alawad, Turki Essa Alharbi

“…The proposed MIMO antenna offers a minimum isolation of −25 dBi and an ECC of less than 0.018. All the other MIMO parameter values lie below the acceptable range. The High Frequency Structure Simulator (HFSS) EM software (v.19) tool is used to analyze the antenna and study its performance. …”
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On One Co-Integration Issue of Trade Links of Azerbaijan, Russia, Belarus and Kazakhstan by E. G. Orudzhev, S. M. Huseynova

“…When modeling, we used all the necessary statistical procedures required to identify and evaluate the parameters of the model and verify its adequacy and the accuracy of short-term and long-term forecast values by applying Microsoft Excel and Eviews 8 tools.Conclusion. …”
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Assessment of liver fibrosis by acoustic radiation force impulse elastography in rheumatic disease patients on long-term methotrexate treatment by Arindam Nandy Roy, Gayatri Senapathy, Vijay Kumar Bongu, Yarram Ashok Kumar, Syeda Sana Fatima, Regina Lata Thadigiri

“…On the day of the ARFI examination, a series of biochemical parameters were also assessed in the patient group. …”
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An in silico approach to the mechanical design of meta-materials for adipose tissue engineering by Emanuele Luigi Carniel, Chiara Giulia Fontanella, Maria Vittoria Mascolini, Sofia Pettenuzzo, Ilaria Toniolo, Alice Berardo

“…The approach begins by identifying key parameters that define the mechanical response, followed by determining meso-structural factors that may influence these parameters. …”
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Applying a Virtual Art Therapy System Based on the Michelangelo Effect in Patients with Spinal Cord Injury by Michela Franzò, Sara De Angelis, Marco Iosa, Gaetano Tieri, Giorgia Corsini, Giovanni Generoso Cellupica, Valentina Loi, Fabiano Bini, Franco Marinozzi, Giorgio Scivoletto, Federica Tamburella

“…Conclusions: The system can be a usable tool, the rehabilitative efficacy of which should be tested in patients with spinal cord injury. …”
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A methodological proposal for supporting structural assessment of historic timber floors based on terrestrial laser scanner point clouds by Paula Villanueva-Llauradó, M. Ángeles Benito Pradillo, Fernando Herráez Garrido, Diego González-Aguilera, Luis Javier Sánchez-Aparicio

“…Additionally, it proves to be a valuable tool for diagnosing the floor’s structural condition. …”
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Bridging the Gap Between hiPSC-CMs Cardiotoxicity Assessment and Clinical LVEF Decline Risk: A Case Study of 21 Tyrosine Kinase Inhibitors by Zhijie Wan, Chenyu Wang, Shizheng Luo, Jinwei Zhu, Hua He, Kun Hao

“…These findings provide valuable insights for drug development and regulatory decision-making, offering a powerful tool for evaluating TKI-induced cardiotoxicity.…”
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Understanding the financial aspects of digital pathology: A dynamic customizable return on investment calculator for informed decision-making by Orly Ardon, Sylvia L. Asa, Mark C. Lloyd, Giovanni Lujan, Anil Parwani, Juan C. Santa-Rosario, Bryan Van Meter, Jennifer Samboy, Danielle Pirain, Scott Blakely, Matthew G. Hanna

“…This consisted of: (1) identification of key cost categories associated with digital pathology implementation; (2) data collection and analysis of cost estimation; (3) cost categorization and quantification of direct and indirect costs associated with different use cases, allowing customization of each factor based on specific intended uses and market rates, industry standards, and regional variations; (4) opportunities for savings realized by digitization of glass slides and (5) integration of the cost calculator into a unified framework for a holistic view of the financial implications associated with digital pathology implementation. The online tool enables the user to test various scenarios specific to their institution and provides adjustable parameters to assure organization specific relatability. …”
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Neurally adjusted ventilatory assist in pediatric intensive care units: a systematic review and meta-analysis by Wenqian Cai, Wenqian Cai, Wenqian Cai, Yahui Zuo, Yahui Zuo, Yan Ma, Mei Li, Meng Li, Lu Zhang

“…The primary outcomes were physiological parameters, respiratory parameters, ventilator-related parameters, and other clinical outcomes. …”
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Process and Validation of Depletion Database Based on Evaluated Nuclear Data Libraries by LUO Hao, LI Jie, HUANG Shanfang, WANG Kan

“…By incorporating the most up-to-date and accurate data into the depletion subroutine DEPTH of the Monte Carlo code RMC, the performance and reliability of the simulation tool were significantly enhanced. The updated database now includes additional information such as decay radiation spectra, energy-dependent fission product yields, and subgroup neutron reaction cross-section parameters. …”
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Investigation of Welding Forces and Torque Measurement using Octagonal Ring Dynamometer in Refill Friction Stir Spot Welding of Pure Copper by Xiaole Ge, I.N. Kolupaev, Di Jiang, Hongfeng Wang

“…The welding forces and torque in refill friction stir spot welding (RFSSW) play a crucial role in optimizing welding process parameters, understanding material deformation and flow mechanisms, improving welding equipment, and analyzing tool wear. …”
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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

“…Results: Velocity and near-wall parameters in the ascending aorta are largely insensitive to the OBC choice. …”
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Role of Diffusion Tensor Imaging in Early Detection of Cervical Spondylotic Myelopathy: An Observational Study by Bhumika Dinesh Maheshwari, Jeffrey Skaria Joseph, Ealai athmarao Parthasarathy, KP Khavin Kumar, Sathyanarayanan Venkatesan

“…DTI holds promise as a quantitative tool for early detection and severity assessment of CSM.…”
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Thermal and Mechanical Analysis of Polyvinyl Chloride (PVC) to Polyethylene (PE) Bonding via Friction Stir Spot Welding Process by Omar Hassan Hameed, Mahmood Mohammed Hamzah, Mursal Luaibi Saad, Ghaith Rabeea Abduljabbr, Azher S Barrak, Yasir W. Abduljaleel

“…Tensile shear strength results also indicated that appropriate heat input and tool interaction facilitated robust bonding without external adhesives or surface treatments. …”
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Enhancing the mechanical properties of 3D-Printed polylactic acid through pellet additive manufacturing: A grey relational analysis based on entropy weights by Radhika Mandala, B. Anjaneya Prasad, Suresh Akella

“…Enforcing EGRA in multi-objective optimization has resulted in an improvement of 3.3 % in the grey relational grade when compared to the initial parameter configurations. Hence, EGRA proves to be an effective potential tool for the optimization process in PAM.…”
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BASIC BIOMECHANICAL CHARACTERIZATION OF POLYURETHANE BASED ARTIFICIAL CANCELLOUS STRUCTURES by Jan Šleichrt, Daniel Kytýř, Kateřina Pithartová, Sascha Senck, David Fürst, Andreas Schrempf

“…Based on these experiments, the stress-strain diagrams were created as a comparative tool including calculation of the effective Young’s modulus. …”
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A Practical Approach to Malaria Diagnosis in Non-Endemic Regions: Evaluating Simple Clinical and Laboratory Predictors in Travelers Returning from Endemic Regions by Amal A. El-Moamly

“…The detailed clinical information and laboratory parameters, including complete blood count, liver function tests, cholesterol, and lactate dehydrogenase, were collected. …”
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A novel end-to-end learning framework for inferring lncRNA-disease associations based on convolution neural network by Shunxian Zhou, Sisi Chen, Jinhai Le, Yangtai Xu, Lei Wang

“…Next, based on errors obtained by these loss functions, we would perform back propagation to fit parameters in CNMCLDA, and complete those missing values in lncRNA-disease relational matrix according to these fitted parameters. …”
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Uncertainty Quantification in Shear Wave Velocity Predictions: Integrating Explainable Machine Learning and Bayesian Inference by Ayele Tesema Chala, Richard Ray

“…This hybrid methodology offers a powerful and interpretable tool for Vs prediction, providing engineers with the confidence to make informed decisions.…”
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