A deep fusion‐based vision transformer for breast cancer classification by Ahsan Fiaz, Basit Raza, Muhammad Faheem, Aadil Raza

“…Convolutional neural network (CNN) models like ResNet50, Inception‐V1, and VGG‐16, while useful in many applications, cannot capture the patterns of cell layers and staining properties. …”
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A conceptual framework for integrating deltaic food systems and spatial design: the case of the Mekong River Delta by Sophia Arbara, Fransje Hooimeijer

“…Second, it examines both past and future models of food equations in relation to the deltaic landscape. …”
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Asteroid and Meteorite Impacts as a Cause of Large Sedimentary Basins: A Case Study of the Transylvanian Depression by Dumitru Ioane, Irina Stanciu, Mihaela Scradeanu

“…Impact cratering determined by collisions with meteorites and asteroids is considered one of the main natural processes in the Solar System, modifying the planets and their satellites surface during time. …”
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Deciphering seasonal carbon and nitrogen release dynamics in biogeomorphic successions of the arid Lake Ebinur, Northwest China by Shujing Yin, Yanhong Li, Yu Zhu, Guanghua Miao, Jiang Ai

“…This study used the static chamber gas chromatography method and partial least squares structural equation modelling to analyse fluctuations in CO2, CH4, and N2O fluxes in surface soil layer along a biogeomorphic succession comprising lake wetland (LW), marsh wetland (MW), salt marsh wetland (SW), and non-wetland (NW) areas. …”
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Audio Deepfake Detection Using Deep Learning by Ousama A. Shaaban, Remzi Yildirim

“…The self‐attention modules are trained in a layered way alongside these fundamental layers to detect multi‐headed attention within audio frames. …”
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Legal Challenges of Marine Insurance Laws in the Use of Unmanned Ships by Mahsa Bahadoran- Baghbaderani, Masoud Shirani, Reza Soltani

“…However, many insurers lack access to these technologies, thereby complicating the insurance process. Unmanned ships' reliance on navigation software introduces another layer of risk; any failure in these systems could result in catastrophic and widespread consequences, particularly if such failures occur across multiple vessels. …”
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Characterization of reactive oxidized nitrogen in the global upper troposphere using recent and historic commercial and research aircraft campaigns and GEOS-Chem by N. Wei, E. A. Marais, G. Lu, G. Lu, R. G. Ryan, R. G. Ryan, B. Sauvage

“…A model underestimate in MPN of at least <span class="inline-formula">∼</span> 50 pptv (13-fold) over the Southeast US results from uncertainties in processes that sustain MPN production as air ages. …”
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Edge intelligent collaborative privacy protection solution for smart medical by Jinshan Lai, Xiaotong Song, Ruijin Wang, Xiong Li

“…However, the existing intelligent diagnosis models have low accuracy and poor universality. At the same time, there is a risk of privacy leakage in the process of health monitoring and auxiliary diagnosis. …”
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Yi Shen Tiao Gan decoction alleviates aromatase inhibitor–related bone loss by promoting H-type vessel formation by Meiling Chu, Yan Zhang, Meina Ye, Yulian Yin, Hongfeng Chen

“…Notably, SLIT3, a proangiogenic factor secreted by osteoblasts, is actively involved in the regulation of H-type vessel formation and bone formation processes. Here, we used the inoculation and resection of breast cancer xenografts, bilateral ovaritectomy (OVX), and gavage of letrozole (Femara) to construct a suitable AIBL animal model, which was verified by ELISA, microcomputed tomography (micro-CT), hematoxylin and eosin staining, and OCN and tartrate-resistant acid phosphatase (TRAP) immunohistochemical staining. …”
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A Comprehensive Review of Digital Twins Technology in Agriculture by Ruixue Zhang, Huate Zhu, Qinglin Chang, Qirong Mao

“…Furthermore, we highlight the integration of agricultural data acquisition, simulation, and modeling techniques that form the backbone of effective DT implementation. …”
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Semantic Image Synthesis via Class-Adaptive Cross-Attention by Tomaso Fontanini, Claudio Ferrari, Giuseppe Lisanti, Massimo Bertozzi, Andrea Prati

“…In response, we designed a novel architecture where cross-attention layers are used in place of SPADE for learning shape-style correlations and so conditioning the image generation process. …”
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A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis by Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Ahmed Aziz

“…This paper introduces a novel deep learning (DL) architecture designed to enhance the processing, feature extraction, and analysis of ECG signals. …”
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Observed impact of the GNSS clock data rate on radio occultation bending angles for Sentinel-6A and COSMIC-2 by S. Padovan, A. von Engeln, S. Paolella, Y. Andres, C. R. Galley, R. Notarpietro, V. Rivas Boscan, F. Sancho, F. Martin Alemany, N. Morew, C. Marquardt

“…<p>Radio occultation (RO) measurements require the tracking of signals from a global navigation satellite system (GNSS) by a low-Earth-orbit (LEO) satellite as the signals travel through different layers of the atmosphere. The orbit and clock solutions for the GNSS constellations affect these measurements in two ways: they are needed to obtain a zero-differencing GNSS-based orbit and clock solution for the LEO, and they directly enter the processing of each single RO profile, where the orbit and clock information for the transmitter (GNSS) and receiver (LEO) satellites is required. …”
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Detecting Important Features and Predicting Yield from Defects Detected by SEM in Semiconductor Production by Umberto Amato, Anestis Antoniadis, Italia De Feis, Anastasiia Doinychko, Irène Gijbels, Antonino La Magna, Daniele Pagano, Francesco Piccinini, Easter Selvan Suviseshamuthu, Carlo Severgnini, Andres Torres, Patrizia Vasquez

“…This allows process engineers to concentrate inspections on a few important layers. …”
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Folded Context Condensation in Path Integral Formalism for Infinite Context Transformers by Won-Gi Paeng, Daesuk Kwon, Kyungwon Jeong, Honggyo Suh

“…These segments are recurrently processed across Transformer layers, enabling more effective long-term information retention. …”
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Explainable deep learning approaches for high precision early melanoma detection using dermoscopic images by Md Abdullah All Mahmud, Sadia Afrin, M. F. Mridha, Sultan Alfarhood, Dunren Che, Mejdl Safran

“…The novel approach proposed through this research addresses this gap by utilizing a proposed model with advanced layers, including Global Average Pooling, Batch Normalization, Dropout, and dense layers with ReLU and Swish activations to improve model performance. …”
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Exploring the relationship between saturated hydraulic conductivity and roots distribution: two case studies in Garfagnana (Northern Tuscany, Italy) and Zollikofen (Bern, Switzerla... by Lorenzo Marzini, Michele Pio Papasidero, Enrico D’Addario, Massimiliano Schwarz, Leonardo Disperati

“…Results highlight that Root Area Ratio concentrates in the first soil layers and decreases sharply following deeper layers. …”
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Seeing and Sensing by Yanai Toister

“… In this article traditional paradigms of photographic seeing undergo scrutiny through the perspective of non-human sensory processes, notably echolocation, fostering a diverse, interspecies interpretation of vision. …”
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Anatomy guided modality fusion for cancer segmentation in PET CT volumes and images by Ibtihaj Ahmad, Sadia Jabbar Anwar, Bagh Hussain, Atiq ur Rehman, Amine Bermak

“…Unlike traditional fixed normalization techniques, we introduce novel “zero layers” with learnable normalization. The proposed intermediate fusion reduces the number of filters, resulting in a lightweight model. …”
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The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study by Shumei Miao, Pei Ji, Yongqian Zhu, Haoyu Meng, Mang Jing, Rongrong Sheng, Xiaoliang Zhang, Hailong Ding, Jianjun Guo, Wen Gao, Guanyu Yang, Yun Liu

“…MethodsThis study designed a clinical decision support system (CDSS) with data, learning, knowledge, and application layers. It integrates multimodal data from hospital laboratory information systems, hospital information systems, electronic medical records, electrocardiography, nursing, and other systems to build a knowledge model. …”
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