Ultrasonic Transmit Beam Steering Using Slitted Transducer Design by Yinuo Enoch Zhao, Zheng Jie Tan, Wei-Bin Ewe, Wai Siang Yeoh, Rahul Singaram Senthilkumar, Viet Phuong Bui, Daniel Ssu-Han Chen, Xing Haw Marvin Tan

“…Advancements in ultrasonic imaging sensors (UISs), such as improvements in cost-effectiveness, low power consumption, and suitability for challenging environments, have been useful for drone navigation. …”
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Synchrotron Microtomography to Explore the Anatomy of Insects by Gabriela Sena Souza, Thaina Alvarenga, Tayane Tanure, Samara Oliveira, Katrine Paiva, Gustavo Colaço, Arissa Pickler, Gabriel Fidalgo, Liebert Nogueira, Marcos Colaço, Ademir Xavier da Silva, Cícero B. Mello, Ruan Ingliton, Marcelo Gonzalez, Patricia Azambuja, Regina Barroso

“… Recent advancements in high intensity synchrotron sources have revolutionized the field of non-destructive imaging, particularly in biological sciences. Synchrotron radiation micro-computed tomography (SR-microCT) has emerged as a powerful tool for visualizing complex 3D structures, from dense materials to delicate biological specimens. …”
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Research on High-Accuracy, Lightweight, Superfast Model for Nitrogen Diagnosis and Plant Growth in Lettuce (<i>Lactuca sativa</i> L.) by Xuyang Li, Iftikhar Hussain Shah, Xiaohao Gong, Muhammad Azam, Wu Jinhui, Pengli Li, Yidong Zhang, Qingliang Niu, Liying Chang

“…In contrast, the deep learning models used in this research can make full use of the original data from imaging systems. Nondestructive techniques have the ability to handle complex relationships in the data, enabling more accurate and efficient nitrogen diagnosis. …”
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Navigating Cardiotoxicity in Immune Checkpoint Inhibitors: From Diagnosis to Long-Term Management by Simone Nardin, Beatrice Ruffilli, Pietro Costantini, Rocco Mollace, Ida Taglialatela, Matteo Pagnesi, Mauro Chiarito, Davide Soldato, Davide Cao, Benedetta Conte, Monica Verdoia, Alessandra Gennari, Matteo Nardin

“…Additionally, rechallenging patients with ICIs following cardiotoxic events remains a complex clinical decision requiring multidisciplinary evaluation. …”
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X-Ray Polarization Variability during a Few Hz Quasiperiodic Oscillations in Swift J1727.8-1613 Observed with IXPE by Kaito Ninoyu, Shinya Yamada, Yuusuke Uchida, Taichi Igarashi, Ryota Hayakawa, Takayoshi Kohmura

“…We employed a stacking analysis to understand the time variability of polarization during LFQPOs. …”
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Enhancing puncture skills training with generative AI and digital technologies: a parallel cohort study by Zhe Ji, Yuliang Jiang, Haitao Sun, Bin Qiu, Yi Chen, Mao Li, Jinghong Fan, Junjie Wang

“…This study explored the application of generative AI (ChatGPT), templates, and digital imaging to enhance puncture skills training. Methods 90 refresher doctors were enrolled sequentially into 3 groups: traditional training; template and digital imaging training; and ChatGPT, template and digital imaging training. …”
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Review of online quality control for laser directed energy deposition (LDED) additive manufacturing by Long Ye, Hao Xue, Zhaosheng Li, Yichang Zhou, Guangyu Chen, Fangda Xu, Ruslan Melentiev, Stephen Newman, Nan Yu

“…Laser directed energy deposition (LDED) is an emerging branch of metal-based additive manufacturing (AM) processes, offering unprecedented capabilities for high-performance fabrication with complex geometries and near-net shapes. This technology is gathering increasing attention from industries such as biomedical, automotive, and aerospace. …”
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Masonry and Pictorial Surfaces Study by Laser Diagnostics: The Case of the Diana’s House in Ostia Antica by Valeria Spizzichino, Luisa Caneve, Antonella Docci, Massimo Francucci, Massimiliano Guarneri, Daniela Tarica, Claudia Tempesta

“…The integrated system has been applied to the House of Diana complex in Ostia Antica. The main diagnostic objective of this research was to trace the materials used in different phases of restoration, from antiquity to modernity, on both masonry and pictorial surfaces, to reconstruct the history of the building. …”
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A new analytical model of Cultural Linguistics (2023) by Mohammad Hossein Keshavarz and Mahdi Noshadi. Cambridge Scholars. by Ali Dabbagh

“…</p> <p>To substantiate the proposed model of semio-cultural conceptualizations, Keshavarz and Noshadi (2023) comparatively analyzed, in four consecutive chapters of this volume (i.e., Chapters Five to Eight), the Persian and English proverbs related to the notion of nature. In their analysis, they integrate cultural conceptualizations and semiotics by introducing <em>cultural symbols</em> as a new component under cultural conceptualizations, rooted in the final interpretant of &ldquo;objects, images, gestures, behaviors, or linguistic elements that are culture specific&rdquo; (p. 56). …”
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SPECIFIC TRAITS OF HUNGARIAN-UKRAINIAN POETRY TRANSLATION (BASED ON YURII SHKROBYNETS’ TRANSLATIONS) by Oksana Yu. Talabirchuk

“…In addition to general scientific methods of analysis, the following methods of analysis are used: synthesis and generalization of the material, the cultural-historical method, the method of comparative analysis of original and translated texts, and linguo-poetic analysis. …”
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Case Report: Ischemic brain infarction and cognitive dysfunction syndrome in an aged dog by Min-Hee Kang, Woo-Phil Jeong, Chan-Sik Nam, Jun-Won Yoon, Dong-Min Choi, Gwang-Seob Lee, Yeon-Jin Kim, Tae-Jung Dan, Hee-Myung Park

“…Advanced neuroimaging and histopathological analysis were critical in diagnosing and understanding this complex interaction. …”
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Dynamic tensile mechanical properties and damage fracture mechanisms of saturated frozen sandstone by Ming Li, Fuqiang Zhu, Yiwen Mao, Peng Wu, Yanlong Chen, Ketong Wu, Jiazhi Zhang, Hao Yu

“…In contrast, the dynamic peak strain decreases with either decreasing temperature or lower strain rate. High-speed camera imaging and scanning electron microscopy (SEM) analysis further reveal that decreasing temperature or increasing strain rate leads to more complex macroscopic failure patterns and rougher, more irregular fracture surfaces. …”
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Insights into the physiological and metabolic features of Thalassobacterium, a novel genus of Verrucomicrobiota with the potential to drive the carbon cycle by Xin-Yun Tan, Xin-Jiang Liu, De-Chen Lu, Yu-Qi Ye, Xin-Yu Liu, Fan Yu, Hui Yang, Fan Li, Zong-Jun Du, Meng-Qi Ye

“…Here, we isolated from marine sediment two novel strains, Thalassobacterium maritimum SDUM461003T and Thalassobacterium sedimentorum SDUM461004T, that represent a new genus of the difficult-to-culture phylum Verrucomicrobiota. Genome analysis, functional annotation, and experimental verification revealed that these two strains degrade polysaccharides and antibiotics, including some complex sulfated polysaccharides (SPs), primarily fucoidan and chondroitin sulfate. …”
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Investigating the influence of soil organic carbon on pore structure within aggregates by Jingjing Liu, Yu Tian, Chiara Pasut, Mark Farrell, Shenggao Lu

“…This study aimed to move beyond the traditional “black box” view of soil by visualizing the complex interactions between soil organic carbon (SOC) and soil structure with a new method. …”
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Radio Frequency Sensing&#x2013;Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning Models by Najah AbuAli, Ihtesham Jadoon, Farman Ullah, Mohammad Hayajneh, Shayma Alkobaisi

“…AlexNet is robust and maintains high precision and recall across all configurations. Computational analysis reveals that AlexNet is time-efficient, particularly at large batch sizes, while GoogleNet incurs higher computational costs due to its complex architecture. …”
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Effect of the Dimethylformamide/Isopropanol Solvent Ratio on the Structure, Optical Properties, and Photodegradation Performance of RhB Using Bi-MOF by Pham Bui Bao Long, Van Cuong Nguyen, Hoang Ai Le Pham, Qui Thanh Hoai Ta, Huu Phuc Dang

“…SEM imaging revealed a rectangular rod-like morphology, which became more elongated with increasing ISO content. …”
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An FPGA Prototype for Parkinson&#x2019;s Disease Detection Using Machine Learning on Voice Signal by Mujeev Khan, Abdul Moiz, Gani Nawaz Khan, Mohd Wajid, Mohammed Usman, Jabir Ali

“…This paper proposes an efficient machine learning model for PD detection using voice-based features, which offer a non-invasive, cost-effective, and accessible alternative to complex imaging methods. To enhance classification performance and reduce computational complexity, we evaluate three feature selection algorithms &#x2014; Chi-squared (<inline-formula> <tex-math notation="LaTeX">$\chi ^{2}$ </tex-math></inline-formula>), Minimum Redundancy Maximum Relevance (mRMR), and Analysis of Variance (ANOVA) &#x2014; and adopt an incremental feature selection approach, where each feature set increment is assessed across five classifiers: K-Nearest Neighbors (KNN), Decision Tree (DT), Artificial Neural Network (ANN), Logistic Regression (LR), and Support Vector Machine (SVM). …”
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Role of a route map in learning lumbar spinal ultrasonography: a study protocol for a randomised, controlled teaching study by Yuelun Zhang, Jiao Zhang, Si Chen, Xulei Cui, Gang Tan

“…Introduction Lumbar spinal ultrasonography is an important tool used by pain physicians and anaesthesiologists to perform pain-related scanning, interventional treatments and anaesthesia in clinical practice. However, ultrasound images of the lumbar spine are complex and numerous. …”
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Three-dimensional ultrasonography: Advancing the clinical evaluation of adolescent idiopathic scoliosis by Xinyu Yang, Derun Di, Yanhong Lv, Zhe Liu, Xiaoxiong Wang, Xinzhi Zhang, Rongkun Xu, Luoran Wang, Yuze Wang, Suomao Yuan, Yonghao Tian, Qiang Yang, Xinyu Liu, Lianlei Wang

“…Mean scanning time measured 37.3 ± 6.8 s, with diagnostic-quality images obtained in 81 % of initial acquisitions. Multivariate regression analysis identified thoracic kyphosis magnitude (B = 3.334, p = 0.012) and vertebral rotation severity (B = 1.862–2.209, p < 0.05) as significant predictors of measurement variability in thoracic and (thoraco) lumbar curves. …”
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Advancing Self-Supervised Learning for Building Change Detection and Damage Assessment: Unified Denoising Autoencoder and Contrastive Learning Framework by Songxi Yang, Bo Peng, Tang Sui, Meiliu Wu, Qunying Huang

“…Building change detection and building damage assessment are two essential tasks in post-disaster analysis. Building change detection focuses on identifying changed building areas between bi-temporal images, while building damage assessment involves segmenting all buildings and classifying their damage severity. …”
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