A Comprehensive Survey on Embodied Intelligence: Advancements, Challenges, and Future Perspectives by Fuchun Sun, Runfa Chen, Tianying Ji, Yu Luo, Huaidong Zhou, Huaping Liu

“…Despite these advancements, several challenges remain, including hardware limitations, model generalization, physical world understanding, multimodal integration, and ethical considerations, which are critical for the development of robust and reliable embodied intelligence systems. …”
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Genomic landscape and comparative analysis of tissue and liquid-based NGS in Taiwanese anaplastic thyroid carcinoma by Chun-Nan Yeh, Shu-Fu Lin, Chia-Ling Wu, Miaw-Jene Liou, I-Wen Chen, Chiao-Ping Chen, Ching-Fu Chang, Qi‑An Wang, Chiao-En Wu

“…Abstract Anaplastic thyroid carcinoma (ATC) is an aggressive cancer that requirements rapid diagnosis and multimodal treatment. Next-generation sequencing (NGS) aids in personalized therapies and improved trial enrollment. …”
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A Low-Complexity GA-WSF Algorithm for Narrow-Band DOA Estimation by Haihua Chen, Jialiang Hu, Hui Tian, Shibao Li, Jianhang Liu, Masakiyo Suzuki

“…However, its criteria is a multimodal nonlinear multivariate optimization problem. …”
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Active Vibration Suppression of a 3-DOF Flexible Parallel Manipulator Using Efficient Modal Control by Quan Zhang, Jiamei Jin, Jianhui Zhang, Chunsheng Zhao

“…The results show that the EMC method has the capability of suppressing multimode vibration simultaneously, and both the structural and residual vibrations of the flexible links are effectively suppressed using EMC approach.…”
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Transforming English language learning: Advanced speech recognition with MLP-LSTM for personalized education by Myagmarsuren Orosoo, Namjildagva Raash, Mark Treve, Hassan Fareed M. Lahza, Nizal Alshammry, Janjhyam Venkata Naga Ramesh, Manikandan Rengarajan

“…Previous research addresses the importance of NLP in English language learning but notes the challenges in effectively extracting and segmenting features from multimodal data. In order to overcome these problems, this paper incorporate the proposed MLP for feature extraction and LSTM for sequence learning. …”
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Artificial intelligence in dentistry and dental biomaterials by Dinesh Rokaya, Dinesh Rokaya, Ahmad Al Jaghsi, Ahmad Al Jaghsi, Ahmad Al Jaghsi, Rohan Jagtap, Viritpon Srimaneepong

“…Recent advancement in AI in medical and dental sciences includes multimodal deep learning fusion, speech data detection, and neuromorphic computing. …”
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Segment, Compare, and Learn: Creating Movement Libraries of Complex Task for Learning from Demonstration by Adrian Prados, Gonzalo Espinoza, Luis Moreno, Ramon Barber

“…This process requires no prior knowledge, it is entirely autonomous, and supports multimodal information. The algorithm enables generating trajectories suitable for robotic tasks, establishing simple primitives that encapsulate the structure of the movements to be performed. …”
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Open challenges and opportunities in federated foundation models towards biomedical healthcare by Xingyu Li, Lu Peng, Yu-Ping Wang, Weihua Zhang

“…These models, with their ability to generate coherent text and realistic images, are crucial for biomedical applications that require processing diverse data forms such as clinical reports, diagnostic images, and multimodal patient interactions. The incorporation of FL with these sophisticated models presents a promising strategy to harness their analytical power while safeguarding the privacy of sensitive medical data. …”
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A Synchronous-Asynchronous Particle Swarm Optimisation Algorithm by Nor Azlina Ab Aziz, Marizan Mubin, Mohd Saberi Mohamad, Kamarulzaman Ab Aziz

“…Five well-known unimodal functions, four multimodal functions, and a real world optimisation problem are used to study the performance of SA-PSO, which is compared with the performances of S-PSO and A-PSO. …”
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Brain development during the lifespan of cynomolgus monkeys by Zhiqiang Tan, Binbin Nie, Huanhua Wu, Bang Li, Jingjie Shang, Tianhao Zhang, Zeyu Xiao, Chenchen Dong, Chunyuan Zeng, Biao Wu, Lu Hou, Bin Guo, Yong Cheng, Jian Gong, Weijian Ye, Lin Xu, Yuefeng Li, Xiaojiang Li, Steven H. Liang, Baoci Shan, Hao Xu, Lu Wang

“…This project involved the collection of brain [18F]FDG PET-MRI data from 228 healthy cynomolgus monkeys spanning the age range of 0.5–29.5 years to construct an age-specific multimodal image brain template toolset tailored to cynomolgus monkeys. …”
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Bilateral primary vitreoretinal lymphoma masquerading as fungal endophthalmitis- a case report by Manisha Agarwal, Alankrita Muralidhar, Tanya Jain, Prashant Katre, Arpan Gandhi, Priyanka Gupta, Charu Gupta, Shishir Narain

“…Diagnostic vitrectomy was done in both the eyes and vitreous sample was negative on microbiological and cytological examination. Multimodal imaging along with sub retinal biopsy helped in confirming the diagnosis. …”
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“En-Face” Spectral-Domain Optical Coherence Tomography Findings in Multiple Evanescent White Dot Syndrome by Flore De bats, Benjamin Wolff, Vivien Vasseur, Aude Affortit, Laurent Kodjikian, José-Alain Sahel, Martine Mauget-faÿsse

“…C-scans combined with the other multimodal imaging enabled the visualization of retinal damage. …”
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Lightweight Adaptation of Classifiers to Users and Contexts: Trends of the Emerging Domain by Elena Vildjiounaite, Georgy Gimel’farb, Vesa Kyllönen, Johannes Peltola

“…This paper analyses adaptation trends in several emerging domains and outlines promising ideas, proposed for making multimodal classifiers user-specific and context-specific without significant user efforts, detailed domain knowledge, and/or complete retraining of the classifiers. …”
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Impact of Spatial Hole Burning and Linewidth Enhancement Factor on Distributed-Feedback Quantum Cascade Lasers: A Comprehensive Design Analysis by Sara Zaminga, Lorenzo Columbo, Carlo Silvestri, Mariangela Gioannini, Frederic Grillot

“…Neglecting them leads to an overestimation of the interval of pump currents granting single-mode emission and to an inaccurate simulation of the QCLs' multimode dynamics. By taking into account these two mechanisms, we inspect the combined action of the DFB grating's coupling strength and end facets' reflectivity. …”
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Noninvasive in vivo imaging of macrophages: understanding tumor microenvironments and delivery of therapeutics by Prakash Gangadaran, Akanksha Onkar, Ramya Lakshmi Rajendran, Anshika Goenka, Ji Min Oh, Fatima Khan, ArulJothi Kandasamy Nagarajan, Sathish Muthu, Anand Krishnan, Chae Moon Hong, Byeong-Cheol Ahn

“…The integration of multimodal imaging approaches and the continued development of novel contrast agents hold promise for overcoming current limitations and expanding the applications of macrophage imaging. …”
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Search for Classical Cepheids in Galactic Open Clusters and Calibration of the Period–Wesenheit–Metallicity Relation in the Gaia Bands by Huajian Wang, Ye Xu, Zehao Lin, Chaojie Hao, Dejian Liu, Yingjie Li

“…To this aim, we obtain a total of 43 OC–DCEPs (including 33 fundamental mode, 9 first overtone mode, and 1 multimode DCEPs) and calibrate the PWZR as ${W}_{G}=(-3.356\pm 0.033)(\mathrm{log}P-1)+(-5.947\pm 0.025)$ + (−0.285 ± 0.064)[Fe/H]. …”
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Experimental Study on Expansion Characteristics of Core-Shell and Polymeric Microspheres by Pengxiang Diwu, Baoyi Jiang, Jirui Hou, Zhenjiang You, Jia Wang, Liangliang Sun, Ye Ju, Yunbao Zhang, Tongjing Liu

“…First, the core-shell microsphere exhibits a unimodal distribution, compared to multimodal distribution of the polymeric microsphere. …”
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Synchronous Analysis of Speech Production and Lips Movement to Detect Parkinson’s Disease Using Deep Learning Methods by Cristian David Ríos-Urrego, Daniel Escobar-Grisales, Juan Rafael Orozco-Arroyave

“…Complementary information between lip movement and speech production is confirmed when advanced fusion strategies are employed. Finally, multimodal approaches, combining visual and speech signals, showed great potential to improve PD classification, generating more confident and robust models for clinical diagnostic support.…”
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METHODOLOGY FOR DATA COLLECTION IN SIMULATED IRRADIATIONS USING MONTE CARLO TECHNIQUES ON DICOM IMAGES FOR X-RAY FLUORESCENCE EMISSIONS LOCALIZATION IN HIGH ATOMIC NUMBER MATERIALS by Nicolás E. Martín, F. Malano, Miguel Sofo Haro, M. Valente

“…This approach allows for simultaneous transmission computed tomography (CT) along with XFCT, providing multimodal/multiplexed in vivo images and expanding applications with metallic probes such as gold nanoparticles (AuNPs). …”
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Bioinspired Microhinged Actuators for Active Mechanism‐Based Metamaterials by Zi‐Yi Cao, Huayang Sai, Weiwei Wang, Kai‐Cheng Yang, Linlin Wang, Pengyu Lv, Huiling Duan, Tian‐Yun Huang

“…However, the absence of efficient microactuators has constrained the ability to achieve multimodal locomotion and active shape‐morphing behaviors at the micro and nanoscale. …”
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