SpikeAtConv: an integrated spiking-convolutional attention architecture for energy-efficient neuromorphic vision processing by Wangdan Liao, Fei Chen, Fei Chen, Changyue Liu, Weidong Wang, Weidong Wang, Weidong Wang, Hongyun Liu, Hongyun Liu

“…Despite their promise, SNNs have yet to achieve competitive performance on complex visual tasks, such as image classification.MethodsThis study introduces a novel SNN architecture called SpikeAtConv, designed to enhance computational efficacy and task accuracy. …”
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YOLO-SW: A Real-Time Weed Detection Model for Soybean Fields Using Swin Transformer and RT-DETR by Yizhou Shuai, Jingsha Shi, Yi Li, Shaohao Zhou, Lihua Zhang, Jiong Mu

“…The research stands out for its novel integration of three key advancements: the Swin Transformer backbone, which leverages local window self-attention to achieve linear O(N) computational complexity for efficient global context capture; the CARAFE dynamic upsampling operator, which enhances small target localization through context-aware kernel generation; and the RTDETR encoder, which enables end-to-end detection via IoU-aware query selection, eliminating the need for complex post-processing. …”
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The Path towards a Unified Health System in India: From Fragmentation to Integration: A Narrative Review by Shubham Bobade, Sheetal Asutkar

“…India’s healthcare system is a complex structure divided into public and private sectors. …”
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Emulating grid-based forest carbon dynamics using machine learning: an LPJ-GUESS v4.1.1 application by C. Natel, D. M. Belda, P. Anthoni, N. Haß, S. Rabin, A. Arneth

“…Overall, the emulators reduced the simulation execution time by 95 %, bridging the gap between complex process-based models and the need for scalable and fast simulations. …”
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SDA-Net: A Spatially Optimized Dual-Stream Network with Adaptive Global Attention for Building Extraction in Multi-Modal Remote Sensing Images by Xuran Pan, Kexing Xu, Shuhao Yang, Yukun Liu, Rui Zhang, Ping He

“…Buildings in remote sensing imagery exhibit diverse morphological attributes and spectral signatures, yet their reliable interpretation through single-modal data remains constrained by heterogeneous terrain conditions, occlusions, and spatially variable illumination effects inherent to complex geographical landscapes. The integration of multi-modal data for building extraction offers significant advantages by leveraging complementary features from diverse data sources. …”
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Dynamic stages of personality adjustment: language switching and acculturation in first-generation Chinese immigrants by Xin Chen

“…This study seeks to address this gap by investigating the dynamic stages of personality adjustment among Chinese immigrants in English as a Second Language (ESL) communication settings. …”
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Towards fully 3D printed dielectric elastomer actuators—A mini review by Rollo Pattinson, Nathan Ellmer, Mokarram Hossain, Rogelio Ortigosa, Jesús Martínez-Frutos, Antonio J. Gil, Anil Bastola

“…Its precision and ability to create complex geometries make it well-suited for translating computational designs into functional DEA devices. …”
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Exploring impact of digital economy on sustainable urban development by panel data of 30 underdeveloped cities in China by Xiao-ping Bai, Qian-qian Shen

“…Based on the panel data of 30 underdeveloped cities in China from 2011–2020, the Super-SBM model and dynamic QCA (Qualitative Comparative Analysis) method were combined to analyze the complex relationship between the digital economy and sustainable urban development. …”
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Exploring high-performance green innovation in China’s logistics companies: a TOE framework based on fsQCA by Shuhua Li, Jiaqi Zhu, Peixian Chen, Zhao Li, Caisheng Liao, Wei Feng

“…Moreover, after employing fuzzy-set Qualitative Comparative Analysis (fsQCA) with data from 83 logistics firms in China, the research examines the complex interplay between technological, organizational, and environmental factors and their strategic influence on green innovation performance. …”
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Examining the Mid to Long‐Term Variability in Saturated Hydraulic Conductivity of Sandy Soils and Its Influencing Factors Under Constant Head Test in the Laboratory by Saeed Nikghalb Ashouri, Adrian Pittari, Vicki Moon, Ali Shokri

“…This study addresses the knowledge gap regarding the long‐term behavior of Ks in sandy soils with less than 10% fine particles. …”
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Epidemiological Features of Highly Pathogenic Avian Influenza in Cameroon by Marc K. Kouam, Honorine N. Tchouankui, Arouna Njayou Ngapagna

“…The first outbreak took place in Mvog-Betsi poultry complex in the Center region on the 20th May 2016 and spread to other regions. …”
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Data for tracking SDGs: challenges in capturing neonatal data from hospitals in Kenya by George Mbevi, Mike English, Chris Paton, Christiane Hagel

“…Visualisations of information flows highlight how a complex, people-based and paper-based subsystem for inpatient information capture precedes digitisation. …”
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Migrant healthcare access in Morocco: A narrative review by Hicham El Bouri, Adil Najdi

“…Background: Morocco is at the forefront of a complex migratory dynamic because of its strategic geographical position, situated at the crossroads between sub-Saharan Africa, Europe and the Middle East, which has shifted migratory flows in the kingdom. …”
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Influence of annealing on structure, phase and electrophysical properties of vanadium oxide films by T. D. Nguen, A. I. Zanko, D. A. Golosov, S. M. Zavadski, S. N. Melnikov, V. V. Kolos, T. Q. To

“…The  dependences  of  the  structure,  phase,  temperature  coefficient of resistance (TCR), resistivity p, band gap Egof the films on the oxygen concentration in Ar/O2 gas mixture during the deposition ГO2, and the temperature of annealing in an O2 atmosphere were obtained. …”
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Explaining the unmet information needs of family carers of people with dementia: a theoretical model of information behaviour by Chiara De Poli

“…Although the consequences of unmet information needs are detrimental to both the person being cared for and the carer, a systematic understanding of the causes of unmet information needs is lacking. To address this gap, this article presents a theoretical framework centred on the concept of information behaviour and integrating the information seeking and communication model, candidacy theory, and discrepancy theory. …”
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Repurposing of nervous system drugs for cancer treatment: recent advances, challenges, and future perspectives by Zixun Wang, Chen Xu, Qi Wang, Yudong Wang

“…In this context, it aims to bridge the interdisciplinary gap between neurology, psychiatry, internal medicine, and oncology. …”
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Automated Digitization Approach for Road Intersections Mapping: Leveraging Azimuth and Curve Detection from Geo-Spatial Data by Ahmad M. Senousi, Wael Ahmed, Xintao Liu, Walid Darwish

“…The high correctness and completeness metrics (both more than 0.9) confirm its ability to minimize both false positive and omission errors, even in complex roadway configurations. The approach consistently produced gap-free, overlap-free outputs, showing strength in handling interchange geometries. …”
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Unveiling the characteristics of MgAl0.5Fe1.5O4 spinel ferrite: A study of structural, optical, and dielectric properties by Sachin Verma, Abhishek Maurya, Harish Verma, Rajeev Singh, Biswanath Bhoi

“…UV–visible spectroscopy was used to determine the optical properties, revealing a band gap of 2.38 eV and an average refractive index of 2.09 for the investigated spinel ferrite. …”
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UNestFormer: Enhancing Decoders and Skip Connections With Nested Transformers for Medical Image Segmentation by Adnan Md Tayeb, Tae-Hyong Kim

“…However, current approaches face at least one of three limitations: 1) CNN-based models struggle to capture long-range dependencies, 2) Transformer-based models have limitations in extracting local features, resulting in a loss of low-level details, and 3) hybrid models are computationally complex. In this paper, we propose UNestFormer, a novel CNN-Transformer hybrid framework where densely connected nested transformers link the encoder and decoder to achieve more precise segmentation results by reducing the semantic gap between them. …”
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Portable Fluorescence Microarray Reader-Enabled Biomarker Panel Detection System for Point-of-Care Diagnosis of Lupus Nephritis by Aygun Teymur, Iftak Hussain, Chenling Tang, Ramesh Saxena, David Erickson, Tianfu Wu

“…These results highlight the reader’s potential to bridge the gap between laboratory-grade precision and POC accessibility. …”
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