Zero-Shot Remote Sensing Scene Classification Based on Automatic Knowledge Graph and Dual-Branch Semantic Correlation Supervision by Chao Wang, Jiajun Yang, Tanvir Ahmed, Yang Zhao, Tong Zhang, Bing Sun, Tao Xie, Jie Wang, Tianyu Chen

“…Extensive experiments on the UCM, AID, and NWPU datasets demonstrate that AKG-DBSS achieves class average accuracy and overall accuracy of up to 98%, and 59.56%, respectively, for the classification of unseen class scenes, with standard deviations below 6.91%, significantly outperforming four other advanced comparative methods. …”
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Morphological Neuroimaging Biomarkers for Tinnitus: Evidence Obtained by Applying Machine Learning by Yawen Liu, Haijun Niu, Jianming Zhu, Pengfei Zhao, Hongxia Yin, Heyu Ding, Shusheng Gong, Zhenghan Yang, Han Lv, Zhenchang Wang

“…The accuracy in the training and test datasets was 80.49% and 80.00%, respectively, and the AUC was 0.8586. …”
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E-MAC: Enhanced In-SRAM MAC Accuracy via Digital-to-Time Modulation by Saeed Seyedfaraji, Salar Shakibhamedan, Amire Seyedfaraji, Baset Mesgari, Nima Taherinejad, Axel Jantsch, Semeen Rehman

“…., a 0.1% and 0.17% reduction for LeNet5-based CNN and VGG16, respectively, when trained on the MNIST and ImageNet datasets.…”
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Machine Learning Diagnostic Model for Hepatocellular Carcinoma Based on Liquid–Liquid Phase Separation and Ferroptosis-Related Genes by Wenchao Chen, Ting Zhu, Xiaofan Pu, Linlin Zhao, Senhao Zhou, Xin Zhong, Suihan Wang, Tianyu Lin

“…Materials and Methods: The differentially expressed genes (DEGs) were identified based on 3 GEO datasets, followed by overlapping with LLPS-related and ferroptosis-related genes. …”
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Single‐cell dissection reveals immunosuppressive F13A1+ macrophage as a hallmark for multiple primary lung cancers by Chenglin Yang, Jiahao Qu, Jingting Wu, Songhua Cai, Wenyi Liu, Youjun Deng, Yiran Meng, Liuqing Zheng, Lishen Zhang, Li Wang, Xiaotong Guo

“…Methods We performed a comparative single‐cell RNAsequencing (scRNA‐seq) analysis on tumour and adjacent para‐tumour tissues fromMPLC and SPLC patients to comparatively evaluate their immunological landscapes.Additionally, multiplex immunofluorescence (mIF) staining and independentvalidation datasets were used to confirm findings. Results MPLCs and SPLCs share significant similarities in genetic, transcriptomic and immune profiles, suggesting common therapeutic strategies such as EGFR‐TKIs andICIs. …”
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Contaminant-degrading bacteria are super carriers of antibiotic resistance genes in municipal landfills: A metagenomics-based study by Fang-Zhou Gao, Wei-Li Jia, Bing Li, Min Zhang, Liang-Ying He, Hong Bai, You-Sheng Liu, Guang-Guo Ying

“…Here, we collected metagenomic datasets of 32 raw leachate and 45 solid waste samples in 22 municipal landfills of China. …”
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Temporal and habitat-specific variations in drivers of aboveground biomass dynamics in a Chinese subtropical forest by Yuxuan Bian, Qi Wu, Rong Zheng, Jiaqin Fu, Jianhua Chen, Xiangcheng Mi, Mingjian Yu, Yunquan Wang, Yunquan Wang, Yunquan Wang

“…To address this gap, we evaluated changes in aboveground biomass across a decade and various habitats, disentangling the relative influences of topography and multidimensional diversity on ΔAGB through datasets from forest inventories conducted between 2007 and 2017, along with phylogenetic relatedness, functional traits, and environmental variables from a subtropical forest in China. …”
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Exploring the influence of pre-analytical variables on gene expression measurements and relative expression orderings in cancer research by Tian Tian, Guie Lai, Ming He, Xiaofang Liu, Yun Luo, You Guo, Guini Hong, Hongdong Li, Kai Song, Hao Cai

“…Systematic evaluating effects of these variables on gene expression measurements and relative expression orderings (REOs) of gene pairs, is necessary. A total of 18 datasets were collected, comprising over 800 paired samples. …”
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Sphingosine kinase 1 promotes M2 macrophage infiltration and enhances glioma cell migration via the JAK2/STAT3 pathway by Zihan Song, Zijun Zhao, Xuehua Liu, Yiran Song, Siyu Zhu, Ziyang Jia, Yijie Li, Zairan Wang, Boyu Sun, Qianxu Jin, Shiyang Zhang, Zongmao Zhao, Liqiang Liu

“…We comprehensively examined SPHK1 and investigated its correlation with glioma survival time using different datasets. The correlation between SPHK1 and various cancer pathways was analyzed using the Kyoto encyclopedia of genes and genomes (KEGG) analysis. …”
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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

“…Our comparative experiments across four publicly available datasets demonstrate that FTransDF-Net reaches advanced results. …”
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Deciphering the generation of heterogeneity in esophageal squamous cell carcinoma metastasis via single-cell multiomics analysis by Kaiwen Sheng, Jun Chen, Ruitang Xu, Haoqiang Sun, Ran Liu, Yongjie Wang, Wenwen Xu, Jiao Guo, Miao Zhang, Shuai Liu, Juan Lei, Yawen Sun, Yang Jia, Dianhao Guo

“…In conjunction, we integrated these data with 55 scRNA-seq datasets, ChIP-seq or CUT&Tag sequencing data, Hi-C sequencing data, bulk RNA-seq data, and bulk ATAC-seq data from ESCC cell lines to dissect the mechanisms underlying the heterogeneity of ESCC and tumor microenvironment (TME). …”
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Targeting TCMR-associated cytokine genes for drug screening identifies PPARγ agonists as novel immunomodulatory agents in transplantation by Lu Hu, Lu Hu, Xiaohan Zhang, Xiaohan Zhang, Weiqi Zhang, Weiqi Zhang, Shuai Jin, Shuai Jin, Jie Zhao, Jianming Zheng, Wenli Song, Zhongyang Shen, Zhongyang Shen, Zhongyang Shen

“…To evaluate the effectiveness of this gene set, a diagnostic predictive model was constructed using Lasso regression and multivariate logistic regression, with validation in independent datasets. Connectivity Map (CMap) analysis was employed to screen drugs targeting TCMR-Cs. …”
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Pre-Season Precipitation and Temperature Have a Larger Influence on Vegetation Productivity than That of the Growing Season in the Agro-Pastoral Ecotone in Northern China by Yuanyuan Zhang, Qingtao Wang, Xueyuan Zhang, Zecheng Guo, Xiaonan Guo, Changhui Ma, Baocheng Wei, Lei He

“…This study utilizes satellite-derived vegetation indices, land cover datasets, and climate data to investigate the influence of both land cover and climate changes on vegetation growth in the agro-pastoral ecotone of northern China (APENC) from 2001 to 2022. …”
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Joint exposure to multiple air pollutants and residual cardiovascular risk in hypertension by Yalan Li, Wei Hong, Jingjing Wu, Jie Wang, Shiqi Liu, Hong Yuan, Jingjing Cai, Rujia Miao, Jiangang Wang, Yao Lu

“…Methods: 1981 hypertensive patients (≥ 18 years) from an ongoing longitudinal cohort in China, were enrolled between 2013 and 2019. Using high-quality datasets from China, the ground-level air pollutants concentrations, including PM2.5, PM2.5–10, SO2, O3, CO and NO2, at each participant’s residence were calculated. …”
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Deep Learning-Based Feature Extraction Technique for Single Document Summarization Using Hybrid Optimization Technique by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak, Premananda Sahu, Kaushik Mishra

“…The proposed method’s efficiency was evaluated using datasets from the Document Understanding Conference (DUC), specifically DUC-2002, DUC-2003, and DUC-2005. …”
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UNet-Att: a self-supervised denoising and recovery model for two-photon microscopic image by Yuer Lu, Yongfa Ying, Chen Lin, Yan Wang, Jun Jin, Xiaoming Jiang, Jianwei Shuai, Xiang Li, Jinjin Zhong

“…The associated Python packages and datasets of UNet-Att are freely available at https://github.com/ZjjDh/UNet-Att .…”
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Sandpiper optimization with hybrid deep learning model for blockchain-assisted intrusion detection in iot environment by Mimouna Abdullah Alkhonaini, Manal Abdullah Alohali, Mohammed Aljebreen, Majdy M. Eltahir, Meshari H. Alanazi, Ayman Yafoz, Raed Alsini, Alaa O. Khadidos

“…The experimental validation of the SPOHDL-ID method portrayed a superior accuracy value of 99.59 % and 99.54 % over recent techniques under the ToN-IoT and CICIDS-2017 datasets.…”
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A machine learning approach for predicting treatment response of hyponatremia by Tamaki Kinoshita, Shintaro Oyama, Daisuke Hagiwara, Yoshinori Azuma, Hiroshi Arima

“…Ultimately, 74 and 15 patients (342 and 146 6-hourly datasets) were included in the learning and validation data, respectively. …”
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Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data by Ibrahim Olalekan Alabi, Ibrahim Olalekan Alabi, Hans-Peter Marshall, Jodi Mead, Ernesto Trujillo

“…Using 3 m resolution L-band InSAR products over Grand Mesa, Colorado, we compared the performance of three machine learning approaches (XGBoost, ExtraTrees, and Neural Networks) across open, vegetated, and the combined (open + vegetated) datasets using Root Mean Square Error (RMSE), Mean Bias Error (MBE), and R2 metrics. …”
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Challenges and opportunities for data integration to improve estimation of migratory connectivity by Jeffrey A. Hostetler, Emily B. Cohen, Christen M. Bossu, Amy L. Scarpignato, Kristen Ruegg, Andrea Contina, Clark S. Rushing, Michael T. Hallworth

“…Multiple data types on animal movements are becoming increasingly available and integration of these growing datasets will lead to a better understanding of the full annual cycle of migratory animals.…”
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