Assessing the Impact of Hydraulic Control Structures on Hydrodynamic Modelling in Shallow Waters by Alfonso Arrieta-Pastrana, Edwin A. Martínez-Padilla, Modesto Pérez-Sánchez, Oscar E. Coronado-Hernández, Helena M. Ramos

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ASSESSMENT OF SECONDARY DENTINOGENESIS ON PERMANENT MOLARS – A MICRO-CT STUDY by Ralitsa Bogovska-Gigova

“…This study underscores the importance of understanding structural differences between immature and mature molars for informed clinical decision-making in caries management and minimally invasive dentistry.…”
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In Vitro Oral Cavity Permeability Assessment to Enable Simulation of Drug Absorption by Pankaj Dwivedi, Priyata Kalra, Haiying Zhou, Khondoker Alam, Eleftheria Tsakalozou, Manar Al-Ghabeish, Megan Kelchen, Giovanni M. Pauletti

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Applying Big Data for Maritime Accident Risk Assessment: Insights, Predictive Insights and Challenges by Vicky Zampeta, Gregory Chondrokoukis, Dimosthenis Kyriazis

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Computed Tomography-Based Volumetric Additive Manufacturing: Development of a Model Based on Resin Properties and Part Size Interrelationship—Part I by Amir H. Behravesh, Asra Tariq, John Buni, Ghaus Rizvi

“…This model provides valuable insights into the complex interplay of factors influencing VAM outcomes and can facilitate informed decision-making in material selection and process design.…”
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Diagnostic accuracy of fat pad sign, X-ray, and computed tomography in elbow trauma: implications for treatment choices—a retrospective study by Mustafa Ahmet Afacan, Koray Kaya Kilic, Aytun Temiz, İsmail Tayfur, Fatih Doganay

“…Regarding surgical treatment decision-making, XR showed a sensitivity of 50%, specificity of 100%, PPV of 95%, NPV of 100%, and an AUC of 0.750 when compared to CT. …”
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Revolutionizing Concrete Bridge Assessment: Implementing Nondestructive Scanning for Transformative Evaluation by Wael Zatar, Felipe Mota Ruiz, Hien Nghiem

“…This study’s findings offer invaluable advancements and equip state departments of transportation with the knowledge to accurately assess in-service concrete bridge box beams, empowering them to make informed decisions.…”
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Ability of Evaluation Coronary Calcium Index Based on Ultra-Low-Dose Computed Tomography Used in Moscow Lung Cancer Screening Project by A. E. Nikolaev, A. N. Shapiev, O. A. Korkunova, G. Z. Mukhutdinova, P. V. Tkacheva, M. M. Suleymanova, A. N. Shapieva, D. M. Ramazanova, M. N. Rzayev, V. A. Gombolevsky

“…Determination of the possibility of reliable quantitative assessment of the coronary calcium index based on ultra-low-dose computed tomography (ultra-LDCT) which used in Moscow Lung Cancer Screening project.Material and methods. …”
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THE TASK OF MINIMAX ADAPTIVE MANAGEMENT OF INNOVATIVE PROCESSES AT AN ENTERPRISE WITH RISK ASSESSMENT by Vitalina Babenko, Elena Alisejko, Zoya Kochuyeva

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Deploying a GIS-based decision model for disaster management support bases (DMSBs) siting in urban environments based on ordered weighted average (OWA) procedure by Ghasem Alihosseini, Mehdi Gholamalifard, Parviz Jokar, Zahra Barzegar, Zohreh Hesami

“…The study concludes that the decision-making rules and methodology applied in this research are valuable and adaptable for future investigations into suitable sites for DMSBs. …”
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EEG-Based Assessment of Cognitive Resilience via Interpretable Machine Learning Models by Ioannis Kakkos, Elias Tzavellas, Eleni Feleskoura, Stamatis Mourtakos, Eleftherios Kontopodis, Ioannis Vezakis, Theodosis Kalamatianos, Emmanouil Synadinakis, George K. Matsopoulos, Ioannis Kalatzis, Errikos M. Ventouras, Aikaterini Skouroliakou

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The impact of artificial intelligence on the endoscopic assessment of inflammatory bowel disease-related neoplasia by Siri A. Urquhart, Michael Christof, Nayantara Coelho-Prabhu

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Multi-dimensional research impact assessment through bibliometrics, altmetrics, semantometrics, and webometrics by Ahmed Al Marouf, Tanvir C Turin

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Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment by Rahul Kumar, Kiran Marla, Kyle Sporn, Phani Paladugu, Akshay Khanna, Chirag Gowda, Alex Ngo, Ethan Waisberg, Ram Jagadeesan, Alireza Tavakkoli

“…While existing reviews typically focus on advances within a single modality or for specific MSK conditions, this paper integrates a broad spectrum of developments to highlight how use of multimodal diagnostic strategies in combination can improve disease detection, stratification, and clinical decision-making in real-world settings. Technological developments in imaging, including photon-counting detector computed tomography, quantitative magnetic resonance imaging, and four-dimensional computed tomography, have enhanced the ability to visualize structural and dynamic musculoskeletal abnormalities with greater precision. …”
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Sustainable Material Selection in New Constructions: A Brute-Force Optimization Framework Using Parallel Computing, Cost Benefits, and Thermal Performance Analysis by Ehsan Arab Anvari, Sajad Sadi, Javad Gholami, Rima Fayaz

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Computed tomography enterography-based radiomics nomograms to predict inflammatory activity for ileocolonic Crohn’s disease: a preliminary single-center retrospective study by Yuping Ma, Luanxin Zhu, Bota Cui, Faming Zhang, Haige Li, Jianguo Zhu

“…Conclusions Nomograms that combined CTE-based radiomics and morphological features could serve as valuable tools for assessing inflammatory activity, thereby supporting clinical decision-making in managing CD. …”
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Using a Systems Thinking Approach for a Dynamic Hydrogen Risk Assessment by Julio Ariel Dueñas Santana, Ernesto Salzano, Almerinda Di Benedetto, Ruben Van Coile

“…Overall, the integration of a Systems Thinking approach allows for a better understanding of the complex interactions involved in the risk assessment of hydrogen, allowing for informed decision-making and advancements in gas storage technologies.…”
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Visualising and evaluating learning/achievement consistency in introductory statistics by Taryn Axelsen, Rachel King, Elizabeth Curtis

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Assessing the readiness for industry 4.0 in Pakistan’s aerospace sector: an empirical analysis by Rashid Menhas, Olivia McDermott, Michael Sony, Jiju Antony

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Simplified Deep Learning for Accessible Fruit Quality Assessment in Small Agricultural Operations by Víctor Zárate, Danilo Cáceres Hernández

“…Feature map visualizations provided insight into the model’s decision-making, highlighting damaged areas of fruits which enhances transparency and trust for end users. …”
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