Distinct Neural Activities in Hippocampal Subregions Revealed Using a High-Performance Wireless Microsystem with PtNPs/PEDOT:PSS-Enhanced Microelectrode Arrays by Peiyao Jiao, Qianli Jia, Shuqi Li, Jin Shan, Wei Xu, Yu Wang, Yu Liu, Mingchuan Wang, Yilin Song, Yulian Zhang, Yanbing Yu, Mixia Wang, Xinxia Cai

“…This study presents a high-performance wireless microsystem capable of 32-channel, 30 kHz real-time recording, featuring Field Programmable Gate Array (FPGA)-based signal processing to reduce transmission load. …”
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Groundwater recharge in Brandenburg is declining – but why? by T. Francke, M. Heistermann

“…<p>Brandenburg is among the driest federal states in Germany, featuring low rates of groundwater recharge (GWR) across large parts of the state. …”
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Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

“…Second, an attention mechanism is incorporated into the neck portion of YOLOv8, which focuses on fire source feature regions, significantly reducing interference from background noise and further improving recognition accuracy in complex environments. …”
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Spin excitations and flat electronic bands in a Cr-based kagome superconductor by Zehao Wang, Yucheng Guo, Hsiao-Yu Huang, Fang Xie, Yuefei Huang, Bin Gao, Ji Seop Oh, Han Wu, Jun Okamoto, Ganesha Channagowdra, Chien-Te Chen, Feng Ye, Xingye Lu, Zhaoyu Liu, Zheng Ren, Yuan Fang, Yiming Wang, Ananya Biswas, Yichen Zhang, Ziqin Yue, Cheng Hu, Chris Jozwiak, Aaron Bostwick, Eli Rotenberg, Makoto Hashimoto, Donghui Lu, Junichiro Kono, Jiun-Haw Chu, Boris I. Yakobson, Robert J. Birgeneau, Guang-Han Cao, Atsushi Fujimori, Di-Jing Huang, Qimiao Si, Ming Yi, Pengcheng Dai

“…Abstract In the quest for topology- and correlation-driven quantum states, kagome lattice materials have garnered significant interest for their band structures, featuring flat bands (FBs) from the quantum destructive interference of the electronic wavefunction. …”
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Automated recognition of deep-sea benthic megafauna in polymetallic nodule mining areas based on deep learning by Guofan Long, Wei Song, Xiangchun Liu, Ziyao Fang, Jinqi An, Kun Liu, Yaqin Huang, Xuebao He

“…Its backbone integrates deformable convolutions, attention mechanisms, and ResNet structures to improve feature extraction and reduce background interference. …”
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Evaluation of Morphometric Factors on the Distribution of Debris: A Case Study on the Attica Ripples on the South of Paveh- Kermanshah Province, Iran by Mohammad Ahmadi

“…This can be risky in terms of rainfall and inappropriate interference in the environment. Stone deposition is a demonstration of active processes of destruction and erosion on the slopes. …”
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Machine Learning-Assisted NIR Spectroscopy for Dynamic Monitoring of Leaf Potassium in Korla Fragrant Pear by Mingyang Yu, Weifan Fan, Junkai Zeng, Yang Li, Lanfei Wang, Hao Wang, Feng Han, Jianping Bao

“…After preprocessing and feature extraction, we determined the optimal modeling method for prediction accuracy through comparative analysis of multiple models. …”
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STRUCTURED RADIOLOGY REPORTS by V. E. Sinitsyn, M. A. Komarova, E. A. Mershina

“…The paper reviews the problem of using structured radiology reports. Their salient features are as follows: to work out a protocol in accordance with some pattern, to divide it into subheadings arranged consecutively and logically and broken down by main anatomical structures, types of disease, and study, and to use standardized terminology. …”
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The Increasing Influence of Muslims in the EU by GEORGE CORNEL DUMITRESCU, ION ALEXANDRU TĂNASE

“…Our paper aims at unveiling the main features of the current relations between the two civilisations from three perspectives: historical, demographical and economic. …”
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ConvTransNet-S: A CNN-Transformer Hybrid Disease Recognition Model for Complex Field Environments by Shangyun Jia, Guanping Wang, Hongling Li, Yan Liu, Linrong Shi, Sen Yang

“…Second, an Inverted Residual Feed-Forward Network (IRFFN) was employed to optimize the feature propagation path, thereby enhancing the model’s robustness against interferences such as lighting variations and leaf occlusions. …”
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Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study by Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R Mock, Edward J Golob

“…This discrepancy can interfere with quality improvement interventions and negatively impact patient care. …”
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Acoustic Spatiality by Brandon LaBelle

“…The relationality of sound brings us into a steady web of interferences, each of which announces the promise or problematic of being somewhere.…”
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Improving Chinese Fir Plantations DBH Inversion Accuracy Using Ensemble Learning Models Base on UAV-LiDAR by Jiuen Xu, Yinyin Zhao, Xuejian Li, Lujin Lv, Jiacong Yu, Meixuan Song, Lei Huang, Fangjie Mao, Huaqiang Du

“…The results show that: 1) Using data above a 5-m height threshold effectively reduces interference from understory vegetation; 2) Key feature variables, such as canopy volume (V), tree height (Hmax), the interquartile range of cumulative height percentiles (AIHiq), and canopy area (S), significantly affect DBH inversion, with V contributing 25% to the feature importance; 3) Ensemble learning models, particularly CatBoost, outperform the other models, achieving an <italic>R</italic>² of 0.81% &#x2014;14.1% higher than MLR; 4) DBH inversion closely matches field observed data, and UAV-LiDAR performs better than Backpack-LiDAR in complex forest environments. …”
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Multidimensional bioinformatics analysis reveals the potential carcinogenic role of acrylamide in colorectal cancer by Xiaopeng Yu, Junjie Niu, Jinyang Hu

“…Molecular docking confirmed strong binding affinities between acrylamide and SF3B3 (ΔG = −4.54 kcal/mol) and CSE1L (ΔG = −5.59 kcal/mol), suggesting potential interference with splicing complex assembly and nuclear transport mechanisms. …”
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Deep Transfer Learning-Based Fault Diagnosis for Gearbox under Complex Working Conditions by Zitong Wan, Rui Yang, Mengjie Huang

“…In the large amount of available data, information insensitive to faults in historical data interferes in gear fault feature extraction. Furthermore, as most of the fault diagnosis models are learned from offline data collected under single/fixed working condition only, this may cause unsatisfactory performance for complex working conditions (including multiple and unknown working conditions) if not properly dealt with. …”
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Enhancing the Accuracy of Land Use/Cover Map Using Some Spectral Indices in Sarab County–East Azerbaijan by A. Sarabchi, H. Rezaei, F. Shahbazi

“…These features included various types of LULC, soil surface characteristics, and landform types. …”
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Klasifikasi Citra Sampah Menggunakan Support Vector Machine dengan Ekstraksi Fitur Gray Level Co-Occurrence Matrix dan Color Moments by Iffa Zainan Nisa, Sukmawati Nur Endah, Priyo Sidik Sasongko, Retno Kusumaningrum, Khadijah Khadijah, Rismiyati Rismiyati

“…Improper waste management can harm the environment and interfere with health. Waste management involved several steps in handling waste, the first one being waste sorting. …”
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Sur une représentation globale des infections a VIH en Afrique subsaharienne. Les complexes socio-spatiaux de risques by Cyrille Mbiaga, Thierry Naizot, Michel Roux

“…Using Multiple Correspondence Analysis (MCA) on a set of socio-geographic, socio-economic variables with epidemiological features presents one way to synthesis infection structures. …”
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Effects of calorie restriction on the lifespan and healthspan of POLG mitochondrial mutator mice. by Shinichi Someya, Gregory C Kujoth, Mi-Jung Kim, Timothy A Hacker, Marc Vermulst, Richard Weindruch, Tomas A Prolla

“…Therefore, our findings suggest that accumulation of mtDNA mutations may interfere with the beneficial action of CR in aging retardation.…”
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The modeling framework of the coupled human and natural systems in the Yellow River Basin by Shan Sang, Yan Li, Shuang Zong, Lu Yu, Shuai Wang, Yanxu Liu, Xutong Wu, Shuang Song, Xuhui Wang, Bojie Fu

“…Modeling regional CHANS in the Yellow River Basin (YRB) featuring high water stress, intense human interference, and a fragile ecosystem has always been a complex challenge. …”
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