Study on particle deposition and flow characteristics of edible chili oil in bending pipe conveyance in industrial production by Jiacheng Zhuang, Qiushi Shi, Zhi Han

“…These quantitative findings not only fill the research gap concerning high-viscosity, particulate-laden edible fluid systems but also provide concrete and practical guidelines for optimizing chili oil transport processes. The findings directly contribute to improved operational reliability, lower energy consumption, and reduced blockage risks in industrial food pipeline applications.…”
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Digital Competences in Classical Music Teaching: From a Critical View to the Systematization of Digital Resources by Sanela Nikolić, Biljana Leković

“…The number and variety of online classical music digital resources require specific knowledge to independently search for, select and incorporate appropriate content into the teaching process, as these represent alternative teaching tools that go beyond the primary didactic materials. …”
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Quantum Privacy Comparison with <i>R_y</i> Rotation Operation by Min Hou, Yue Wu

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Biosynthesis of novel cannabigerolic acid derivatives by engineering the substrate specificity of aromatic prenyltransferase by Hoe-Suk Lee, Jisu Park, Jisu Park, Taejung Kim, Taejung Kim, Huitae Min, Seongsu Na, Seongsu Na, Soon Young Park, Young-Tae Park, Young-Tae Park, Young Joo Yeon, Jungyeob Ham, Jungyeob Ham, Jungyeob Ham

“…Efficient biotransformation processes are required to expand the range of accessible cannabinoids. …”
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An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal by Silvia García-Méndez, Francisco de Arriba-Pérez, Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan Carlos Burguillo-Rial

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Integrating BIM Forward Design with CFD Numerical Simulation for Wind Turbine Blade Analysis by Shaonan Sun, Mengna Li, Yifan Shi, Chunlu Liu, Ailing Wang

“…Traditional analysis often isolates Computational Fluid Dynamics (CFD) from Building Information Modeling (BIM) in the design process. …”
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Percutaneous Puncture Cryoablation in Patients with Rib Metastatic Lesions by I. A. Burovik, G. G. Prokhorov, S. S. Bagnenko, A. V. Vasilev

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The algebraic extended atom-type graph-based model for precise ligand–receptor binding affinity prediction by Farjana Tasnim Mukta, Md Masud Rana, Avery Meyer, Sally Ellingson, Duc D. Nguyen

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Structure–property models of organic compounds based on molecular graphs with elements of the spatial structures of the molecules by N. A. Shulaeva, M. I. Skvortsova, N. A. Mikhailova

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Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework by Abbas Ali Hussein, Morteza Valizadeh, Mehdi Chehel Amirani, Sedighe Mirbolouk

“…Abstract Medical imaging sciences and diagnostic techniques for Breast Cancer (BC) imaging have advanced tremendously, particularly with the use of mammography images; however, radiologists may still misinterpret medical images of the breast, resulting in limitations and flaws in the screening process. As a result, Computer-Aided Design (CAD) systems have become increasingly popular due to their ability to operate independently of human analysis. …”
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Smart contours: deep learning-driven internal gross tumor volume delineation in non-small cell lung cancer using 4D CT maximum and average intensity projections by Yuling Huang, Mingming Luo, Zan Luo, Mingzhi Liu, Junyu Li, Junming Jian, Yun Zhang

“…Deep learning (DL) enables the automation of this process; however, current studies focus mainly on multiple phases of four-dimensional (4D) computed tomography (CT), which leads to indirect results. …”
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Brain tumor segmentation using deep learning: high performance with minimized MRI data by Jacky Huang, Banu Yagmurlu, Powell Molleti, Richard Lee, Abigail VanderPloeg, Humaira Noor, Rohan Bareja, Yiheng Li, Michael Iv, Haruka Itakura

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Pulmonary and functional hallmarks after SARS-CoV-2 infection across three WHO severity level-groups: an observational study by Patrícia Blau Margosian Conti, Maria Ângela Gonçalves Oliveira Ribeiro, Carla Cristina Souza Gomez, Aline Priscila Souza, Daniela Souza Paiva Borgli, Eulália Sakano, Mauro Alexandre Pascoa, Silvana Dalge Severino, Tayná Castilho, Fernando Augusto Lima Marson, Fernando Augusto Lima Marson, Fernando Augusto Lima Marson, José Dirceu Ribeiro, UNICOVID Study Group, Adyléia Aparecida Dalbo Contrera Toro, Aline Cristina Gonçalves, Andrea de Melo Alexandre Fraga, André Moreno Morcillo, Andressa Oliveira Peixoto, Andrei Carvalho Sposito, Bianca Aparecida Siqueira, Emília Silva Gonçalves, Emília Raposo Nascimento, Gil Guerra Junior, Jenniffer Tayna Orzechowski Furtado, Lucas Rodrigues de Moraes, Maria de Fatima Corrêa Pimenta Servidoni, Mariana Zorron, Marcos Tadeu Nolasco da Silva, Maíra Seabra Assumpção, Milena Baptistela Grotta, Renan Marrichi Mauch, Simone Appenzeller, Thiago Luís Infanger Serrano

“…The consequences of this inflammatory process impact overall function, which can be detected through both short- to long-term assessments. …”
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Panoramic X-Ray Synthesis From Dental CBCT Using Patient-Tailored Simulated Geometry With Uniform Projection Sampling by Anusree P. Sunilkumar, Bikram Keshari Parida, Seong-Yong Moon, Wonsang You

“…Panoramic tomosynthesis from cone-beam computed tomography (CBCT) can be considered an alternative to noisy PX. …”
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A Survey on Privacy-Preserving Machine Learning Inference by Stanisław Barański

“… This paper examines methods to secure machine learning inference (ML inference) so that sensitive data remains private and proprietary models are protected during remote processing. We review several approaches—from cryptographic techniques like homomorphic encryption (HE) and secure multi-party computation (MPC), to hardware solutions such as trusted execution environments (TEEs), and complementary methods including differential privacy and split learning. …”
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Physics-Informed Neural Networks for the Structural Analysis and Monitoring of Railway Bridges: A Systematic Review by Yuniel Martinez, Luis Rojas, Alvaro Peña, Matías Valenzuela, Jose Garcia

“…Through natural language processing (NLP) and trend mapping, this review evidences a growing but fragmented research landscape. …”
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NDL-Net: A Hybrid Deep Learning Framework for Diagnosing Neonatal Respiratory Distress Syndrome From Chest X-Rays by Malik Muhammad Arslan, Xiaodong Yang, Nan Zhao, Lei Guan, Tao Cui, Daniyal Haider

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Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection by Jiayi Zheng, Jiayi Zheng, Yaping Wan, Xin Yang, Hua Zhong, Minghua Du, Gang Wang, Gang Wang

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Secure and load balanced routing model for wireless sensor networks by Gousia Thahniyath, M. Jayaprasad

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Investigating feature extraction by SIFT methods for prostate cancer early detection by Shadan Mohammed Jihad, Ali A. Alsaud, Firas H. Almukhtar, Shahab Kareem, Raghad Zuhair Yousif

“…The adopted methodology was based on the comparative analysis and benchmarking of the performance of feature extraction based on SIFT against traditional image processing techniques with a generic representation on a number of metrics: sensitivity, specificity, and overall diagnostic accuracy. …”
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