Unveiling the wonders of bacteria-derived extracellular vesicles: From fundamental functions to beneficial applications by Mariam Rima, Mariam Dakramanji, Elie El Hayek, Tia El Khoury, Ziad Fajloun, Mohamad Rima

“…These nano-sized, membrane-encapsulated entities have captured substantial interest due to their diverse roles in pathogenesis and promising therapeutic applications. …”
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Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements by Dario Di Domenico, Inna Forsiuk, Simon Müller-Cleve, Simone Tanzarella, Florencia Garro, Andrea Marinelli, Michele Canepa, Matteo Laffranchi, Michela Chiappalone, Chiara Bartolozzi, Lorenzo De Michieli, Nicolò Boccardo, Marianna Semprini

“…The novelty consists in the inclusion of several types of recordings, namely electromyographic -both with bipolar and high-density configuration, kinematic-both with motion capture system and a sensorized glove, and tactile. …”
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Exploring the typhoon intensity forecasting through integrating AI weather forecasting with regional numerical weather model by Hongxiong Xu, Yang Zhao, Zhao Dajun, Yihong Duan, Xiangde Xu

“…This is largely due to constraints inherent in regression algorithm properties including deep neural networks and inability of coarse resolution to capture the finer-scale weather processes. To address these insufficiencies in typhoon intensity forecasting, we propose an attractive approach by initiating regional Weather Research and Forecasting (WRF) model with Pangu-weather, a state-of-the-art AI weather forecasting system (AI-Driven WRF), whose forecasting power can be further augmented by the implementation of dynamic vortex initialization. …”
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Uncovering Botrytis cinerea-induced physiological changes in melon plants using multi-sensor imaging approaches by Matilde Barón, María Trinidad Moreno-Martín, Mónica Pineda

“…This research takes advantage of multiple imaging tools - RGB, thermal, chlorophyll fluorescence, blue-green fluorescence and hyperspectral reflectance devices - to capture a complete picture of physiological changes in melon leaves infected by this fungus. …”
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Numerical modeling of wave-induced liquefaction around a gravity-based structure by V. S. Ozgur Kirca, V. S. Ozgur Kirca, Mert Angin, B. Mutlu Sumer

“…The results showed that the model can satisfactorily capture pore pressure buildup and residual liquefaction in the seabed around structures. …”
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MODELING AND SIMULATION OF A DUAL CHANNEL ACTIVE NOISE CONTROL SYSTEM FOR POWER TRANSFORMER USING FXLMS ALGORITHM by ADETONA SUNDAY, SALAWU RAIFU, ALABI MORUF

“…The noise emanating from a 100 MVA, 132/33 kV power transformer was captured with the help of a smart phone in flight mode in accordance with IEC 60076-10 standard of 2 m away from the transformer and 1 m apart between each measurement. …”
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BACVC: Bi-adaptive and cross-view consistency for incomplete multi-view subspace clustering by Jiaqiyu Zhan, Yuesheng Zhu, Guibo Luo

“…Specifically, we first apply tensor factorization with view-adaptive tensor rank approximation to enforce low-rank constraints on a stacked affinity tensor, capturing the view-specific subspace block-diagonal structure. …”
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A multitasking ant system for multi-depot pick-up and delivery location routing problem with time window by Haoyuan Lv, Ruochen Liu, Jianxia Li

“…The former can dynamically capture the relationship between tasks to adjust the transfer strength of task pairs, and the latter realizes adaptive knowledge transfer by pheromone-matrix mixing. …”
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Assessment of retention characteristics of different attachments following new modifications (an in vitro study) by Mahabad Mahmud Saleh, Dhia Aldori

“… Background and objectives: This study aimed to compare the retention characteristics of different attachments used to retain partial dentures following new modifications. Methods: In this study three types of commonly used extracoronal castable attachments were selected, namely (1) Preci-verttix standard, CEKA attachment, (2) Preci-sagix mini size, CEKA attachment, (3) OT- cap normal, Rhein 83. …”
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Modeling the Distribution of Dominant Hard Ticks in Southeastern Coastal Areas of the Caspian Sea by Sedighe Nabian, Elahe Ebrahimzadeh, Abbas Farahi, Ahmad Ali Hanafi-Bojd

“…Because most farms in the study area are traditionally engaged in sheep production and they are taken to pastures in the warm season, the ticks were sampled from herds of sheep. …”
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Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania by Ngong'Ho Bujiku Sende, Snehanshu Saha, Leon Ruganzu, Saibal Kar

“…A variety of supervised machine-learning algorithms such as RBF Kernel in SVM, Linear Kernel in SVM, Polynomial Kernel in SVM, Random Forest, Logistic regression classifier, Decision tree, Gradient Boosting, K-Nearest Neighbours Classifier, Naïve Bayes Classifier, Artificial Neuron Network and Ensemble Learning Model were implemented to predict multidimensional poverty status for each dataset. This captured the dynamic changes from 2014 to 2021 at the national level. …”
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A Cost-benefit Analysis of Using Polyethylene Glycol Hydrogel Sealant versus Fibrin Glue as a Dural Sealant for Posterior Fossa Surgery in the United States by Marissa J. Carter

“…Adjustments were made to account for the longer follow-up time of the fibrin glue cohort to better capture the incidence of CSF leaks, pseudomeningocele, wound infection, and meningitis using additional data from the literature. …”
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Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

“…By leveraging the bidirectional capability of BiLSTM in the encoder and decoder, the model captures comprehensive temporal dependencies, enabling more effective anomaly detection. …”
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Leveraging Quantum LSTM for High-Accuracy Prediction of Viral Mutations by Prashanth Choppara, Bommareddy Lokesh

“…These quantum enhancements allow the model to capture complex relationships in the data, improving its accuracy and performance in mutation detection compared to traditional methods. …”
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LeaData a novel reference data of leather images for automatic species identification by Anjli Varghese, Malathy Jawahar, A. Amalin Prince

“…The magnifying parameter 47 $$\times$$ captures the species-unique grain patterns distributed over the leather surface. …”
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Stochastic Diffusive Modeling of CO₂ Emissions with Population and Energy Dynamics by Muhammad Shoaib Arif, Kamaleldin Abodayeh, Hisham M. Al-Khawar, Yasir Nawaz

“…This study develops a stochastic diffusive model to capture the complex dynamics of CO2 concentration, human population growth, and energy production. …”
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HSTCN-NuSVC: A Homogeneous Stacked Deep Ensemble Learner for Classifying Human Actions Using Smartphones by Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin, Lim Zheng You

“…In this model, multiple enhanced TCN networks with diverse architectures are organised parallelly to capture hierarchical spatial-temporal patterns from raw inertial signals. …”
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Innovative nanoparticle-based approaches for modulating neutrophil extracellular traps in diseases: from mechanisms to therapeutics by Haisong Li, Can Li, Cong Fu, Yizhuo Wang, Tingting Liang, Haitao Wu, Chenxi Wu, Chang Wang, Tianmeng Sun, Shuhan Liu

“…Abstract Neutrophil extracellular traps (NETs) participate in both host defense and the pathogenesis of various diseases, such as infections, thrombosis, and tumors. While they help capture and eliminate pathogens, NETs’ excessive or dysregulated formation can lead to tissue damage and disease progression. …”
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Fusion of multi-scale attention for aerial images small-target detection model based on PARE-YOLO by Huiying Zhang, Pan Xiao, Feifan Yao, Qinghua Zhang, Yifei Gong

“…Abstract In view of the complex environments and varying object scales in drone-captured imagery, a novel PARE-YOLO algorithm based on YOLOv8 for small object detection is proposed. …”
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Exploring the evolution of structure growth in the universe with field-fluid interactions through dynamical stability analysis by Anirban Chatterjee, Abhijit Bandyopadhyay, Debasish Majumdar

“…This model effectively captures the evolutionary features of the universe across its various phases at both the background and perturbation levels. …”
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