RotJoint-Based Action Analyzer: A Robust Pose Comparison Pipeline by Guo Gan, Guang Yang, Zhengrong Liu, Ruiyan Xia, Zhenqing Zhu, Yuke Qiu, Hong Zhou, Yangwei Ying

“…Human pose comparison involves measuring the similarities in body postures between individuals to understand movement patterns and interactions, yet existing methods are often insufficiently robust and flexible. …”
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Species Composition and Community Characteristics of Typical Intertidal Shellfish in Qingdao, China by Dashan YUAN, Zhihong LIU, Peizhen MA, Xiujun SUN, Liqing ZHOU, Zhuanzhuan LI, Dong XU, Biao WU

“…The composition of shellfish species, dominance patterns, and community structure parameters, including the Shannon-Wiener diversity index, Margalef richness index, and Pielou evenness index, were compared and analyzed at each station. …”
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Engagement of CD300c by a Novel Monoclonal Antibody Ameliorates Behavioral Deficits in a 5xFAD Mouse Model of Alzheimer’s Disease by Suin Lee, Chang Ki Lim, Jongyeob Kim, Joon Kim, Hee Kyung Jin, Jae-sung Bae, Jae-Won Jeon

“…Moreover, the CB201-differentiated macrophages expressed cytokines and chemokines in a pattern that alleviates AD symptoms. In a 5xFAD mouse model, CB201 treatment improved memory and behavior in both the early and late stages of AD and reduced cerebral Aβ plaque load. …”
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Car dependency beyond land use: Can a standardized built environment indicator predict car use? by Eva Van Eenoo, Koos Fransen, Kobe Boussauw

“…Against this backdrop, this paper assesses the extent to which the mobility score can predict car use and aims to contribute to the line of research that studies travel patterns in relation to accessibility, spatial context, and travel mode choice. …”
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Explainable artificial intelligence with temporal convolutional networks for adverse weather condition detection in driverless vehicles by Samah Alzanin

“…The CapsNet model is employed for feature extraction to recognize spatial hierarchies and capture intricate patterns from complex visual data. …”
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Study on the diffusion mechanism of gangue slurry within the rough connected voids in the caving zone by Jiaqi Wang, Wenbing Fan, Rui Gao, Qiang Zhang, Peng Huang

“…To investigate the impact mechanism of roughness, void aperture, and grouting pressure on the diffusion pattern of gangue slurry within the caving zone, a three-dimensional model featuring roughly connected voids was developed using numerical simulation. …”
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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

“…Abstract Model optimization is a problem of great concern and challenge for developing an image classification model. In image classification, selecting the appropriate hyperparameters can substantially boost the model’s ability to learn intricate patterns and features from complex image data. …”
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Bonded Discrete Element Simulations of Sea Ice With Non‐Local Failure: Applications to Nares Strait by Brendan West, Devin O’Connor, Matthew Parno, Max Krackow, Christopher Polashenski

“…The results indicate that the bonded DEM model is capable of qualitatively capturing the dynamic sea ice patterns through constrictions such as ice bridges, arch kinematic features, and lead formation. …”
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Extreme high temperatures and heatwave events across Europe in 2023 by Yuqing Sun, Gensuo Jia, Xiyan Xu

“…However, there is a lack of quantitative analysis of spatial and temporal features of such record high heatwaves. Here, we investigated the spatial patterns and seasonal evolution of heatwaves over Europe in 2023. …”
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Analysis of biofilm assembly by large area automated AFM by Ruben Millan-Solsona, Spenser R. Brown, Lance Zhang, Sita Sirisha Madugula, HuanHuan Zhao, Blythe Dumerer, Amber N. Bible, Nickolay V. Lavrik, Rama K. Vasudevan, Arpan Biswas, Jennifer L. Morrell-Falvey, Scott Retterer, Martí Checa, Liam Collins

“…Our findings reveal a preferred cellular orientation among surface-attached cells, forming a distinctive honeycomb pattern. Detailed mapping of flagella interactions suggests that flagellar coordination plays a role in biofilm assembly beyond initial attachment. …”
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Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning by Mohammed Assiri, Mahmoud M. Selim

“…To accomplish that, the GRHIP-EDLIBWO method initially performs image preprocessing using a Sobel filter (SF) to enhance edge detection and extract critical gesture features. For the feature extraction process, the squeeze-and-excitation capsule network (SE-CapsNet) effectively captures spatial hierarchies and complex relationships within gesture patterns. …”
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ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network by Xiao Feng, Xiao Feng, Zhongyuan Guo, Zhongyuan Guo, Sam Kwong

“…To address these issues, we propose a novel interpretable residual shrinkage network, namely, ID3RSNet, for cross-subject driver drowsiness detection using single-channel EEG signals. First, a base feature extractor is employed to extract the essential features of EEG frequencies; to enhance the discriminative feature learning ability, the residual shrinkage building unit with attention mechanism is adopted to perform adaptive feature recalibration and soft threshold denoising inside the residual network is further applied to achieve automatic feature extraction. …”
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Management and utilization of the Fund for Innovative Medicines: a multistakeholder qualitative survey on regional and local practices by Andrea Vitagliano, Marzia Bonfanti, Chiara Lucchetti, Andrea Marcellusi

“…A survey administered through interviews to 18 KOLs (clinicians, hospital pharmacists, top hospital managers, and regional pharmaceutical service directors) from 9 Italian regions provided evidence of FFI utilization patterns. The content analysis identified FFI management features, challenges, and best practices. …”
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Multimodal Deep Learning in Early Autism Detection—Recent Advances and Challenges by Sheril Sophia Dcouto, Jawahar Pradeepkandhasamy

“…Deep learning models, with their ability to analyze complex patterns and extract meaningful features from large datasets, offer great promise in addressing the challenge of early ASD detection. …”
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Learning deep forest for face anti-spoofing: An alternative to the neural network against adversarial attacks by Rizhao Cai, Liepiao Zhang, Changsheng Chen, Yongjian Hu, Alex Kot

“…Our approach introduces a multi-scale texture representation based on local binary patterns (LBP) as the model input, replacing the grained-scanning mechanism (GSM) used in the traditional deep forest model. …”
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sEMG-Based Gesture Recognition Using Sigimg-GADF-MTF and Multi-Stream Convolutional Neural Network by Ming Zhang, Leyi Qu, Weibiao Wu, Gujing Han, Wenqiang Zhu

“…To comprehensively leverage the temporal, static, and dynamic information features of multi-channel surface electromyography (sEMG) signals for gesture recognition, considering the sensitive temporal characteristics of sEMG signals to action amplitude and muscle recruitment patterns, an sEMG-based gesture recognition algorithm is innovatively proposed using Sigimg-GADF-MTF and multi-stream convolutional neural network (MSCNN) by introducing the Sigimg, GADF, and MTF data processing methods and combining them with a multi-stream fusion strategy. …”
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End-to-end neural automatic speech recognition system for low resource languages by Sami Dhahbi, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, Elena Verdú

“…The rising popularity of end-to-end (E2E) automatic speech recognition (ASR) systems can be attributed to their ability to learn complex speech patterns directly from raw data, eliminating the need for intricate feature extraction pipelines and handcrafted language models. …”
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Neuropathic Pain Detection: An EEG-Based Brain Functional Network Approach by Abdulyekeen T. Adebisi, Ho-Won Lee, Kalyana C. Veluvolu

“…By extracting persistent homology features from these networks, we developed a support vector machine (SVM)-based classifier that distinguishes control subjects from those experiencing varying degrees of NP. …”
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Molecular and Clinical Overview of Type 1 Neurofibromatosis: Single Center Study and Mini Review on NF1-Associated Vasculopathy and Juvenile Myelomonocytic Leukemia by Şule Altıner, Alper Han Çebi

“…Molecular diagnosis is important in patients with an atypical presentation, as well as in children who have not yet developed sufficient characteristic features or for providing prenatal diagnosis. …”
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REVIEW OF: GOLUBKOVA O.N. FUNDAMENTALS OF SCIENTIFIC RESEARCH IN THE PROFESSIONAL FIELD: TEXTBOOK by A.A. Bilyalova, A.N. Utekhina

“…Patterns in the use of methodological concepts based on their functions in a study are highlighted. …”
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