Long-Term Moderate-Level Noise Exposure Caused Hyperexcitability in the Central Auditory System by Fei Xu, Guangdi Chen, Li Li, Wei Sun

“…The behavioral auditory sensitivity and temporal processing were evaluated using the acoustic startle response (ASR) and gap-induced prepulse inhibition (gap-PPI). …”
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Feasibility of estimating the percentage of desert pavement using Tasseled Cap Transformation indices extracted from Landsat 8 images by farzaneh Fotouhi Firoozabad, Atefeh jebali

“…The initial process involved performing pre-processing operations on the satellite image, including radiometric and geometric corrections, to prepare it for processing operations. …”
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Energy Efficiency Optimization of Milk Homogenizers: A Contribution to the European Green Deal Goals by Samoichuk Kyrylo, Kovalyov Alexandr, Palianychka Nadiia, Hutsol Taras, Komarnitskyi Serhii, Bezaltychna Olena, Kuboń Maciej, Tabor Sylwester, Kukharets Valentyna

“…The results showed that it is possible to reduce the specific energy intensity of the process to values of 0.88–0.92 kWh/t when using cream with a fat content of 33–43%, which should be fed through an annular gap with a width of 0.6–0.8 mm. …”
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Modifying milling parameters: Impact on selective separation of lithium-rich phases in a thermodynamically designed battery slag by Sima Hellmers, Hao Qiu, Bengi Yagmurlu, Arno Kwade

“…Consequently, a range of separation methods were investigated based on the mineralogical properties of the slag, with froth flotation proving the most promising approach. A roller mill was used for grinding. …”
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Integrating the CNN Model with the Web for Indonesian Sign Language (BISINDO) Recognition by Enisda Libra Kelana, Muhammad Riko Anshori Prasetya, Mambang ., Muhammad Zulfadhilah

“…Effective communication is challenging for deaf individuals in Indonesia, most of whom use Indonesian Sign Language (BISINDO). …”
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Deep learning identification of reward-related neural substrates of preadolescent irritability: A novel 3D CNN application for fMRI by Johanna C. Walker, Conner Swineford, Krupali R. Patel, Lea R. Dougherty, Jillian Lee Wiggins

“…Regression activation mapping (RAM) was employed to extract feature maps of brain regions most predictive of irritability severity from the model. …”
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Building photonic links for microwave quantum processors by Zhao Han

“…Various frequency conversion approaches are investigated to efficiently bridge the enormous electromagnetic frequency gap while preserving quantum coherence. Nonetheless, high-fidelity entanglement generation between remote quantum processing units has remained out of reach to date. …”
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An XAI Approach to Melanoma Diagnosis: Explaining the Output of Convolutional Neural Networks with Feature Injection by Flavia Grignaffini, Enrico De Santis, Fabrizio Frezza, Antonello Rizzi

“…The gradient-weighted class activation mapping and layer-wise relevance propagation methods were used to generate heat maps, highlighting the image regions and pixels that contributed most to the final prediction. …”
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A Comparative Study of K-means Clustering Algorithms Using Euclidean and Manhattan Distance for Climate Data. by Bakhshan Hamad

“…Euclidean distance yielded lower WCSS, while interactive maps revealed clearer cluster distributions for most attributes compared to Manhattan distance. produced the lowest within-cluster sum of squared errors compared to the Manhattan distance.…”
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Towards a Greener Future: Using DEMATEL-ANP for Sustainable Indonesian Fiber Cement Board Manufacturing Company by Sri Sulandjari

“…However, identifying which criteria are the most influential in driving overall sustainability outcomes presents a challenge. …”
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Transparency of social-economic determinants in developing the efficient public healthcare system by Svitlana Kolomiiets, Anna Buriak, Maksym Fritsak

“…It engages wide functional possibilities of smart text processing, which generates and visualises joint networks of the most significant terms and notions in a certain branch. …”
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Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning by Aristotelis Ballas, Vasileios Papapanagiotou, Christos Diou

“…In particular, while augmentations are a key component in SSL, selecting the most suitable transformations during the training process is highly challenging and time-consuming. …”
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Perspective: advancing public health education by embedding AI literacy by Jose A. Acosta

“…Artificial intelligence (AI) fundamentally reshaping public health practice, yet formal training in AI literacy remains scarce in most public health educational programs. The rapid emergence of large language models and other AI-driven technologies such as computer vision, predictive analytics, and natural language processing tools—used in applications ranging from epidemiological modeling and policy analysis to real-time health communication—highlights the urgent need to bridge a persistent knowledge gap in structured, competency-based AI training for public health students and professionals. …”
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Understanding Counterspeech for Online Harm Mitigation by Yi-Ling Chung, Gavin Abercrombie, Florence Enock, Jonathan Bright, Verena Rieser

“…This paper aims to fill this gap by systematically reviewing counterspeech research in the social sciences and comparing methodologies and findings with natural language processing (NLP) and computer science efforts in automatic counterspeech generation. …”
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A hierarchical multiscale model of forward and backward alpha-band traveling waves in the visual system. by Jakob C B Schwenk, Andrea Alamia

“…The properties of these waves have been linked to both sensory processing and cognitive functions. In EEG recordings, alpha-band (~10Hz) traveling waves propagate predominantly along the occipital-frontal axis, with forward waves being most prominent during visual processing, while backward waves dominate at rest and during sensory suppression. …”
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Turbulence Theory for the Characterization of the Surface Urban Heat Island Signature by Gabriel I. Cotlier, Juan Carlos Jimenez, José Antonio Sobrino

“…Urban heat islands (UHIs) constitute one of the most conspicuous anthropogenic impacts on local climates, characterized by elevated land surface temperatures in urban areas compared to surrounding rural regions. …”
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Construction of and Low-Carbon Optimization Strategies for Block-Level Carbon Emission Control Unit by Wenjie LI, Yingsheng ZHENG, Qingfang ZHANG, Qiuyun ZENG

“…The research also addresses the gap between theoretical models and practical applications in urban planning and policymaking, and offers a framework adaptable to diverse urban contexts.MethodsBased on the local climate zone (LCZ) framework, the research develops LCZ classification maps and a series of urban morphology analysis maps for Guangzhou. …”
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A facet-based numerical model to retrieve ice sheet topography from Sentinel-3 altimetry by J. Aublanc, F. Boy, F. Borde, P. Féménias

“…These divergences are most likely induced by the terrain characteristics (slope and roughness) and snow volume scattering affecting Ku-band altimetry measurements. …”
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Improving Road Semantic Segmentation Using Generative Adversarial Network by Arnick Abdollahi, Biswajeet Pradhan, Gaurav Sharma, Khairul Nizam Abdul Maulud, Abdullah Alamri

“…Road network extraction from remotely sensed imagery has become a powerful tool for updating geospatial databases, owing to the success of convolutional neural network (CNN) based deep learning semantic segmentation techniques combined with the high-resolution imagery that modern remote sensing provides. However, most CNN approaches cannot obtain high precision segmentation maps with rich details when processing high-resolution remote sensing imagery. …”
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Numerical simulation of non-Newtonian nanofluid flow and heat transfer in ribbed grooved channels by Mohammad Hossein Yazdi, Ali Mahrooghi, Evgeny Solomin, Javad Safehian, Reza Adgi, Muslizainun Mustapha, Masrur Alatas, Ahmad Fudholi

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