Scream’s roughness grants privileged access to the brain during sleep by Guillaume Y. T. Legendre, Maëva Moyne, Judith Domínguez-Borràs, Samika Kumar, Virginie Sterpenich, Sophie Schwartz, Luc H. Arnal

“…However, whether these rough sounds are also processed in a privileged manner during sleep is unknown. …”
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Revitalizing agriculture with the potential of cashew nutshell liquid: a comprehensive exploration and synergy with AI by Sneha Nayak, Roopa B. Hegde, Abhishek S. Rao, H. K. Sachidananda

“…Therefore, this comprehensive review delves into the intricacies of cashew nut processing, with a particular focus on the production of CNSL, its chemical profiling, and the imperative need for thorough characterization to ascertain its chemical composition. …”
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Speech Stream Composition Affects Statistical Learning: Behavioral and Neural Evidence by Ana Paula Soares, Dario Paiva, Alberto Lema, Diana R. Pereira, Ana Cláudia Rodrigues, Helena Mendes Oliveira

“…The neural results revealed, however, facilitative processing of the mixed over the unmixed low-TP and the unmixed high-TP conditions in the N400 and P200 components, suggesting that moderate levels of entropy boost SL.…”
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Impact of the Regional Comprehensive Economic Partnership (RCEP) implementation on agricultural sector in regional countries: A global value chain perspective by Shaowen Xu, Jingfei Qian, Yangfen Chen, Huijie Zhang

“…The results indicate that (1) the implementation of RCEP boosts the value-added to agricultural exports for most member countries, particularly in competitive industries; (2) the increase in domestic production and processing capacity, reflected in domestic value-added (DVA), is the primary factor driving the rise in the value-added of agricultural exports across various industries of member countries; (3) RCEP enhances the participation of most regional countries in AVC, with varying impacts on AVC positioning, thereby fostering regional AVC development; and (4) RCEP has a positive effect on AVC indicators both in the short and long term, with the effect becoming more pronounced over time. …”
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TGF-β3 promotes vascular normalization of prostate cancer to potentiate immunotherapy and chemotherapy by Qiliang Teng, Niu Wang, Hanqi Lei, Tongyu Tong, Yupeng Guan, Mengjun Huang, Fei Cao, Bin Xu, Jia Yang, Yimian Huo, Wenping Chen, Ran Bi, Xuanqi Wang, Zhenyu Wang, Fu-Ying Tian, Bo Zhao, Jun Pang

“…GO analysis revealed significant enrichment of DEGs in vascular-related biological process. TGF-β3 treatment normalized tumor vascular architecture and reduced vascular leakage. …”
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Not mine, it's yours: Liberal decision threshold underpins self-other memory prioritization by Ashleigh S. Vella, David K. Sewell, Timothy Ballard, Ada Kritikos

“…Previous research assumed the SRE is underpinned by an attentional boost enhancing early visual processing, as speculated in the Self-attention Network (SAN11 Self-Attention Network (SAN); Self-reference effect (SRE)). …”
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Cultural heritage reuse applying fuzzy expert knowledge and machine learning: Venice’s fortresses case study by Nicola Camatti, Giacomo di Tollo, Francesco Gastaldi, Federico Camerin

“…An FES acts as an expert-driven approach that formalises problem-solving based on external knowledge, while SOMs provide a data-driven perspective, autonomously processing and aggregating data without relying on external input or predefined assumptions. …”
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Development of IIOT-Based Pd-Maas Using RNN-LSTM Model with Jelly Fish Optimization in the Indian Ship Building Industry by PNV Srinivasa Rao, PVY Jayasree

“…The selected data set is pre-processed and feature selection for the optimization for the improvement in accuracy, and automation decision making the framework of the convolution neural network along with the ensemble boosted tree classifier developed is optimized using the jellyfish optimization and Recurrent Neural Network and Long Short-Term Memory (RNN-LSTM) model for the recognition of patterns and numerical vectors in the real-world data after processing of output then it is sent back as the input for the recurrent network to make the decision in the shipbuilding process. …”
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Changements techniques et dynamique d’innovation agricole en Afrique Sahelienne: le cas du Zaï mécanisé au Burkina Faso et de l’introduction d’une cactée en Ethiopie by Danièle Clavel, Albert Barro, Tesfay Belay, Rabah Lahmar, Florent Maraux

“…At the outset, this progress was initiated by local agricultural research, but it was rapidly boosted by multi stakeholder collaboration, notably involving users of the techniques, particularly farmers themselves. …”
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Impact of EU Laws on AI Adoption in Smart Grids: A Review of Regulatory Barriers, Technological Challenges, and Stakeholder Benefits by Bo Nørregaard Jørgensen, Saraswathy Shamini Gunasekaran, Zheng Grace Ma

“…Technological challenges are also addressed, ranging from the integration of distributed energy resources and real-time data processing to cybersecurity and standardization issues. …”
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Determinants of soybean (Glycine max.) market supply in Northwestern Ethiopia by Takele Atnafu Delele, Almaz Giziew Adugna, Birhanu Melesse Gelaw

“…Although its demand rises quickly for export and local processing, the current production status is much below the market demand. …”
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Artificial Intelligence-Supported Spatial Scanning for Enhanced Real-Time Spectral Analysis of Heterogeneous Media by Bassem Mortada, Samir Abozyd, Bassam Saadany, Yasser M. Sabry, Diaa Khalil, Tarik Bourouina

“…Analysis time and efficiency of processing the raw spectral data are further boosted by the implementation of machine learning models for identification and quantification purposes. …”
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TCAINet an RGB T salient object detection model with cross modal fusion and adaptive decoding by Hong Peng, Yunfei Hu, Baocai Yu, Zhen Zhang

“…Additionally, diverse noise addition and augmentation methods are applied during data preprocessing to boost the model’s robustness and adaptability. Specifically, the CA module enhances the model’s feature selection ability, while the CAF and AAD modules optimize the integration and processing of multimodal information. …”
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THE DEMAND FOR VIDEO CONTENT AMONG STUDENT YOUTH IN MODERN SOCIETY by Ekaterina V. Baranova, Yulia R. Guro-Frolova, Elena G. Sokolova

“…The results of the study can be applied in solving the problem of sociological assessment of digital transformation success on the platform of transport and other specialized universities, as well as in the process of improving the digital literacy level in modern society, in the search for effective ways of socializing a person in the information-boosted environment. …”
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Assurance in Advanced 5G Edge Continuum by Filippo Berto, Claudio A. Ardagna, Massimo Banzi, Marco Anisetti

“…This approach facilitates the support of distributed processing pipelines. In this context, there is an increasing demand for solutions that can continuously guarantee the non-functional properties (e.g. security and performance) of such applications. …”
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Modeling and numerical simulation of Maxwell nanofluid flow with heat generation and convective heating: a combined Adomian decomposition method and Mohand transform by M. M. Khader, M. Adel, Mohammed Messaoudi

“…The key findings of this study indicate that a higher Eckert number boosts the value of the Sherwood number, whereas thermophoresis and heat generation affect heat and mass transfer in opposite ways. …”
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Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorith... by S. Ajith, S. Vijayakumar, N. Elakkiya

“…Artificial intelligence algorithms efficiently process vast datasets from unmanned aerial vehicles, ground vehicles, and satellites, enabling precise and timely interventions. …”
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Sentiment Analysis Using Stacking Ensemble After the 2024 Indonesian Election Results by Andy Victor Pakpahan, Fahmi Reza Ferdiansyah, Robby Gustian, Muhammad Nur Faiz, Sukma Aji

“…Sentiment analysis is a text processing technique aimed at identifying opinions and emotions within a sentence. …”
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Metaphor interpretation in Jordanian Arabic, Emirati Arabic and Classical Arabic: artificial intelligence vs. humans by Aseel Zibin, Nabeeha Binhaidara, Hala Al-Shahwan, Haneen Yousef

“…These findings emphasize the need for improvements in AI models to boost their language processing abilities, as they often miss the cultural aspects required for accurately interpreting figurative language. …”
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Characteristics of motor resonance predict the pattern of flash-lag effects for biological motion. by Klaus Kessler, Lucy Gordon, Kari Cessford, Martin Lages

“…Firstly, biological motion is processed by visual as well as somatosensory brain areas, which makes it a prime candidate for elucidating the interplay between the two systems with respect to the FLE. …”
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