Harmonizer: A Universal Signal Tokenization Framework for Multimodal Large Language Models by Amin Amiri, Alireza Ghaffarnia, Nafiseh Ghaffar Nia, Dalei Wu, Yu Liang

“…Rooted in the universality of wave phenomena and Fourier theory, Harmonizer offers a physics-inspired, modality-agnostic fusion mechanism via wave superposition and interference principles. In summary, Harmonizer integrates natural language processing and signal processing into a coherent tokenization paradigm for efficient, interpretable multimodal learning.…”
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Lightweight and rapid adaptive super-resolution interpolation reconstruction algorithm for super-pixel segmentation of super-wide field-of-view long-wave infrared images by Dongdong Shi, Xia Cai, Limin Liu, Fuyu Huang, Kangli Xu, Yuanbo Wang, Yudan Chen

“…Notably, the “sinc” function is employed to construct the interpolation weighting function, particularly for high-gradient regions. …”
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The defensome of prokaryotes in aquifers by Pengwei Li, Zongzhi Wu, Tang Liu, Chunfang Deng, Quan Liu, Jinren Ni

“…Abstract Groundwater harbors a pristine biosphere where microbes co-evolve with less human interference, yet the ancient and ongoing arms race between prokaryotes and viruses remains largely unknown in such ecosystems. …”
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FLE-YOLO: A Faster, Lighter, and More Efficient Strategy for Autonomous Tower Crane Hook Detection by Xin Hu, Xiyu Wang, Yashu Chang, Jian Xiao, Hongliang Cheng, Firdaousse Abdelhad

“…Lastly, the Dyhead module is employed in the head section to unify multiple attention operations, improve the ability to resist interference from small objects and complex backgrounds. …”
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Marine motor fault diagnosis based on CEEMDAN and BRECAN under strong noise conditions by Renjie ZHU, Enzhe SONG, Chong YAO, Yun KE

“…Next, the BRECAN network is constructed, based on the principle of Variational Bayesian (VI-Bayesian ) using the network parameters instead of the traditional network point estimation training method, the parameters are built to simulate the interference of synthetic noise on the model training, and the network is guided by the Residual Efficient Channel Attention (RECA) module to extract the fault difference features. …”
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Electrochemical Sensor Capable of Enhancing Dopamine Sensitivity Based on Micron-Sized Metal–Organic Frameworks by Ruhui Yan, Yuewu Zhao, Huaixiao Geng, Mengxia Yan, Jine Wang, Shuang Han

“…Therefore, the Co-TCPP(Fe)/rGO/Nafion-modified electrode under the synergistic effect shows a specific adsorption effect on DA molecules, resulting in high anti-interference ability and a low detection limit of 0.014 µM in the concentration range of 0.1–100 µM. …”
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Hypoxia-inducible factor-1α promotes tubulointerstitial fibrosis via the upregulation of Muc4 by Zhong-Tang Li, Xin-Hui Hu, Wei-Jie Ni, Zuo-Lin Li, Bi-Kun Huang, Yu Zhang, A-Feng Miao, Jing-Yuan Cao

“…Intriguingly, we found that specifically knocking out HIF-1α in tubular cells attenuated unilateral ureteral obstruction-induced TIF, as shown by decreased accumulation of the extracellular matrix (ECM). …”
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Hyperspectral estimation of mercury content of soil in Oasis city in arid zones of China by Qing Zhong, Mamattursun Eziz, Mireguli Ainiwaer, Rukeya Sawut, Maorui Hou

“…The novel contribution of this work is to construct hyperspectral inversion model which can accurately estimate the Hg content of urban soils in arid zones. …”
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Multifractal-Aware Convolutional Attention Synergistic Network for Carbon Market Price Forecasting by Liran Wei, Mingzhu Tang, Na Li, Jingwen Deng, Xinpeng Zhou, Haijun Hu

“…The multi-scale convolution (MSC) module employs multi-layer dilated convolutions constrained by shared convolution kernel weights to construct a scale-invariant convolutional network. …”
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Identification of NAPL Contamination Occurrence States in Low-Permeability Sites Using UNet Segmentation and Electrical Resistivity Tomography by Mengwen Gao, Yu Xiao, Xiaolei Zhang

“…Taking an industrial site in Shanghai as the research object, we collected apparent resistivity data using the WGMD-9 system, obtained resistivity profiles through inversion imaging, and constructed training sets by generating contamination labels via K-means clustering. …”
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HMSAM-UNet: A Hierarchical Multi-Scale Attention Module-Based Convolutional Neural Network for Improved CT Image Segmentation by Na Liu, Zhonghua Lu, Wenyong Lian, Min Tian, Chiyue Ma, Lijuan Peng

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Multi-Point Optical Flow Cable Force Measurement Method Based on Euler Motion Magnification by Jinzhi Wu, Bingyi Yan, Yu Xue, Jie Qin, Deqing You, Guojun Sun

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The association of pain phenotype and providing caregiving with depressive symptom trajectory for older adults: a longitudinal analysis using the health and retirement study by Shuqing Zhao, Longhui Chen, Yanfang Duan, Haochen Wang, Chongzhong Liu, Xiaoyun Wang

“…Linear mixed models were constructed to explore the independent and interacted effects of pain phenotypes and providing caregiving on depressive symptom trajectory. …”
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Infrared Small Target Detection Using Directional Derivative Correlation Filtering and a Relative Intensity Contrast Measure by Feng Xie, Dongsheng Yang, Yao Yang, Tao Wang, Kai Zhang

“…The DDCF map is then constructed by merging the results of the second-order derivative filters applied in four distinct orientations. …”
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Performance Statistics of Autoregressive Short and Ultrashort Signal Detectors by V. M. Kutuzov, V. P. Ipatov, S. S. Sokolov

“…The detection characteristics and immunity to signal-like interference of the modified Burg method are obtained and investigated, providing the basis for a comparative analysis of the proposed partial detection statistics. …”
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Comprehensive safety evaluation of mines based on entropy weight and set pair analysis method by LI Jie, CUI Pengzhi, HE Yafei, WANG Chuanxing, XI Yimiao, YANG Xiaobin, LIU Shun

“…First, a comprehensive mine safety evaluation index system consisting of 19 indicators was constructed based on four factors: human, machine, environment, and management. …”
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Eliminating Effect of Moisture Content in Prediction of Lower Heating Value and Ash Content in Sugarcane Leaves Biomass by Kanvisit Maraphum, Kantisa Phoomwarin, Nirattisak Khongthon, Jetsada Posom

“…This study investigates the use of near-infrared (NIR) spectroscopy to predict the lower heating value (LHV) and ash content of sugarcane leaf pellets while minimizing the interference caused by moisture variability. Sixty-two samples were scanned using an NIR spectrometer over three week-long storage periods to get different MCs with the same sample. …”
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Semantic Segmentation of Sika Deer Antler Image by U-Net Based on Two-Dimensional Discrete Wavelet Transform Fusion and Multi-Attention Mechanism by Haotian Gong, Jinfan Wei, Yu Sun, Zhipeng Li, He Gong, Juanjuan Fan

“…To verify the validity of the model, we constructed a 1055-image sika deer antler dataset (SDR). …”
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Analysis of electrical–thermal‐stress characteristics for eccentric contact strip in the valve‐side bushing of converter transformer by Yongqi Wang, Kai Liu, Mu Lin, Hao Tang, Xining Li, Guangning Wu

“…The temperature rise platform of the contact strip was constructed to verify the precision of the simulation outcomes. …”
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Granger causal inference for climate change attribution by Mark D Risser, Mohammed Ombadi, Michael F Wehner

“…Broadly speaking, Granger-causal attribution statements can be constructed quickly from observations and do not require computationally-intesive dynamical experiments. …”
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