A Novel Hybrid Model for Loan Default Prediction in Maritime Finance Based on Topological Data Analysis and Machine Learning by Mohammad Amin Kheneifar, Babak Amiri

“…The global shipping industry, pivotal to international trade, faces inherent financial vulnerabilities due to cyclical asset values, volatile freight rates, and high leverage, rendering traditional credit risk models inadequate. …”
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K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Stud... by Said Salloum

“… Abstract BackgroundBreast cancer has proven to be the most common type of cancer among females around the world. However, mortality rates can be reduced if it is diagnosed at the initial stages. …”
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Leveraging single-cell and multi-omics approaches to identify MTOR-centered deubiquitination signatures in esophageal cancer therapy by Kang Tian, Ziang Yao, Da Pan

“…Those classified as high-risk exhibited reduced survival rates, increased genetic alterations, and more complex cellular interactions, potentially explaining their poor outcomes. …”
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Comparative Genomics of the Sigatoka Disease Complex on Banana Suggests a Link between Parallel Evolutionary Changes in Pseudocercospora fijiensis and Pseudocercospora eumusae and... by Ti-Cheng Chang, Anthony Salvucci, Pedro W Crous, Ioannis Stergiopoulos

“…Comparative analysis of genome architectures revealed significant differences in genome size, mainly due to different rates of LTR retrotransposon proliferation. Still, gene counts remained relatively equal and in the range of other Dothideomycetes. …”
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ChaMTeC: CHAnnel Mixing and TEmporal Convolution Network for Time-Series Anomaly Detection by Ibrahim Delibasoglu, Deniz Balta, Musa Balta

“…Time-series anomaly detection is a critical task in various domains, including industrial control systems, where the early detection of unusual patterns can prevent system failures and ensure operational reliability. …”
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Numerical investigation of cooling enhancement in double-layer fractal-like microchannel disk heat sinks via layer shifting and tertiary channels by Hosein Akhtari, Ardalan Shafiei Ghazani

“…An effective approach for reducing the required pumping power in microchannel-embedded heat sinks is the use of fractal-like flow patterns. Additionally, incorporating double-layer microchannels significantly lowers pressure drop and improves thermal performance by reducing the maximum surface temperature. …”
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Factor structure and psychometric properties of the Chinese version of the Intuitive Exercise Scale for young adults by Dongzhe Shi, Fangyan Lv, Jingbin Tan, Dingguo Gao

“…Predictive validity was confirmed through significant correlations with the Physical Activity Rating Scale (PARS-3), and criterion validity showed moderate correlations (0.342–0.615) with validated scales.ConclusionThe Chinese IEXS is a robust and valid tool for assessing intuitive exercise tendencies in Chinese young adults.…”
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CATCH-FORM-ACTer: Compliance-Aware Tactile Control and Hybrid Deformation Regulation-Based Action Transformer for Viscoelastic Object Manipulation by Haobo Kang, Hongjun Ma, Weichang Li

“…Experiments on single arm/bimanual robots in three tasks show better force fields patterns and thus <inline-formula> <tex-math notation="LaTeX">$10\%-20\%$ </tex-math></inline-formula> higher success rates versus conventional methods, enabling precise, safe interactions for industrial, medical or household scenarios.…”
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Segmentation of Low-Grade Brain Tumors Using Mutual Attention Multimodal MRI by Hiroyuki Seshimo, Essam A. Rashed

“…Early detection and precise characterization of brain tumors play a crucial role in improving patient outcomes and extending survival rates. Among neuroimaging modalities, magnetic resonance imaging (MRI) is the gold standard for brain tumor diagnostics due to its ability to produce high-contrast images across a variety of sequences, each highlighting distinct tissue characteristics. …”
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Automated multi-class MRI brain tumor classification and segmentation using deformable attention and saliency mapping by Erfan Zarenia, Amirhossein Akhlaghi Far, Khosro Rezaee

“…Early detection facilitates timely intervention, significantly improving patient survival rates. This study introduces a novel method for the automated classification and segmentation of brain tumors, aiming to enhance both diagnostic accuracy and efficiency. …”
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Optimizing Service Level Agreement Tier Selection in Online Services Through Legacy Lifecycle Profile and Support Analysis: A Quantitative Approach by Geza Lucz, Bertalan Forstner

“…We analyze a comprehensive dataset of 600 million records collected over four years, focusing on the lifecycle patterns of browsers published into the iPhone and Samsung ecosystems. …”
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Pilot Study to Evaluate Patients’ Understanding of Key Terms and Aspects of Antimicrobial Use in a Rural Province in South Africa Findings and Implications by Tiyani Milta Sono, Veronica Mboweni, Ana Golić Jelić, Stephen M Campbell, Vanda Marković-Peković, Nishana Ramdas, Natalie Schellack, Santosh Kumar, Brian Godman, Johanna C Meyer

“…Introduction: Antimicrobial resistance (AMR) is a global concern, necessitating the understanding of utilisation patterns and their rationale. Pilot studies have been conducted in a rural province in South Africa to determine the extent of self-purchasing of antibiotics by patients from independent and chain pharmacies. …”
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Aeroelastic Oscillations of Cantilever Beams Reinforced by Carbon Nanotubes Based on a Modified Third-Order Piston Theory by Mehdi Alimoradzadeh, Francesco Tornabene, Rossana Dimitri

“…Results indicate that FG-X reinforcement yields the highest frequency response and lateral deflection, followed by UD and FG-A patterns, whereas FG-O consistently exhibits the lowest performance metrics. …”
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Seasonal soil health dynamics in soy-wheat relay intercropping by Jennifer B. Thompson, Thomas F. Döring, Timothy M. Bowles, Steffen Kolb, Sonoko D. Bellingrath-Kimura, Moritz Reckling

“…Average near-saturated soil water infiltration rates were 12.6, 14.9, and 6.0 cm hr−1 for intercropping, sole wheat, and sole soy, respectively. …”
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Timing is everything: international variations in historical sexual partnership concurrency and HIV prevalence. by Martina Morris, Helen Epstein, Maria Wawer

“…<h4>Conclusions/significance</h4>There were substantial variations in the patterns of concurrent partnerships within and between populations. …”
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Modeling Regional ESG Performance in the European Union: A Partial Least Squares Approach to Sustainable Economic Systems by Ioana Birlan, Adriana AnaMaria Davidescu, Catalina-Elena Tita, Tamara Maria Nae

“…Time-based ESG trajectories are assessed using Compound Annual Growth Rates (CAGR), capturing resilience to shocks such as the COVID-19 pandemic and geopolitical instability. …”
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Post-Pandemic Inflation Dynamics: a Comparative Study of the Fiscal Theory in the Czech Republic and France by Makovský, Petr, Descubes, Irena, Hřebík, František

“…Background: In the post-2021 era, Central Europe grapples with enduringly high inflation rates, challenging the effectiveness of conventional monetary policy tools. …”
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Current Measurement and Fault Detection Based on the Non-Invasive Smart Internet of Things Technique by Abhrodeep Chanda, Abhishek Gudipalli

“…Safety in the event of a sudden, large change in the current profile is one of several factors that determine the current measuring limit, together with the rating of the current transformer utilised and other related filtering, reference, calibration, and coding criteria. …”
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Consumer preference and food values: can consumers in Tanzania play part in driving a sustainable food system? by Roselyne Alphonce, Yun Yun Gong, Hettie C. Schönfeldt, Lise Korsten

“…A mixed-method approach was employed, including interviews with six key food system actors, two focus group discussions with 16 consumers, and a survey of 750 consumers from urban and rural towns across three regions in Tanzania. Participants rated the importance of 16 food values such as hygiene, nutrition, taste, and price—using the Best-Worst Scaling method. …”
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The other in me: interpersonal multisensory stimulation changes the mental representation of the self. by Ana Tajadura-Jiménez, Stephanie Grehl, Manos Tsakiris

“…Changes in autonomic responses and in the subjective experience of self-identification were broadly consistent with patterns observed in other bodily illusions, but less robust. …”
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