A minimal gene set characterizes TIL specific for diverse tumor antigens across different cancer types by Zhen Zeng, Tianbei Zhang, Jiajia Zhang, Shuai Li, Sydney Connor, Boyang Zhang, Yimin Zhao, Jordan Wilson, Dipika Singh, Rima Kulikauskas, Candice D. Church, Thomas H. Pulliam, Saumya Jani, Paul Nghiem, Suzanne L. Topalian, Patrick M. Forde, Drew M. Pardoll, Hongkai Ji, Kellie N. Smith

“…Here we present an integrative tool to identify MANA-specific TIL using weighted expression levels of these three genes in lung cancer and melanoma single-cell RNAseq datasets. Our three-gene “MANAscore” algorithm outperforms other RNAseq-based algorithms in identifying validated neoantigen-specific CD8+ clones, and accurately identifies TILs that recognize other classes of tumor antigens, including cancer testis antigens, endogenous retroviruses and viral oncogenes. …”
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Fast Skyline Community Search in Multi-Valued Networks by Dongxiao Yu, Lifang Zhang, Qi Luo, Xiuzhen Cheng, Jiguo Yu, Zhipeng Cai

“…Extensive experiments on real-world datasets demonstrate the efficiency and effectiveness of our algorithms.…”
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A comprehensive global mapping of offshore lighting by C. D. Elvidge, T. Ghosh, N. Chatterjee, N. Chatterjee, M. Zhizhin, M. Zhizhin, P. C. Sutton, M. Bazilian

“…We expect that the new product will lead to an improved understanding of fishing grounds, offshore light pollution, and supply chain disruptions at anchorages, thereby aiding in the development of more sustainable and efficient practices. The global datasets are available at <span class="uri">https://doi.org/10.25676/11124/179157</span> (Elvidge et al., 2024).…”
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DGFEG: Dynamic Gate Fusion and Edge Graph Perception Network for Remote Sensing Change Detection by Shengning Zhou, Genji Yuan, Zhen Hua, Jinjiang Li

“…In experiments, DGFEG was tested on real-world change scenarios and multiple RSCD datasets. The results demonstrate its superior performance compared to existing state-of-the-art methods, proving its excellence and broad application potential in tackling complex BCD tasks.…”
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Safety-Critical Oracles for Metamorphic Testing of Deep Learning LiDAR Point Cloud Object Detectors by Simon Speth, Maximilian Trien, Dominik Kufer, Alexander Pretschner

“…Testing five LiDAR object detection systems working on two datasets by executing half a million metamorphic test cases (MTCs) shows that the number of failures decreases from 48k using IoU metrics to 342 safety-critical failures with our novel test oracle &#x201C;shift out of ego lane.…”
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Novel Speech-Based Emotion Climate Recognition in Peers&#x2019; Conversations Incorporating Affect Dynamics and Temporal Convolutional Neural Networks by Ghada Alhussein, Mohanad Alkhodari, Ahsan H. Khandoker, Leontios J. Hadjileontiadis

“…AffECt was tested and cross-validated on data drawn from there open datasets, i.e., K-EmoCon, IEMOCAP, and SEWA, in terms of EC arousal/valence level classification. …”
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Unraveling the response of the apparent temperature sensitivity of ecosystem respiration to rising temperature by Zhentao Liu, Junguo Liu, Deliang Chen

“…This study leverages observational data from 254 sites from the FLUXNET2015 and AmeriFlux datasets to address this knowledge gap. We found a strong influence of non-temperature factors on the seasonality of RECO. …”
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Status and influential factors of soil nutrients and acidification in Chinese tea plantations: a meta-analysis by D. Wang, D. Wang, D. Wang, B. Liu, B. Liu, B. Liu, F. Li, F. Li, F. Li, Z. Wang, Z. Wang, Z. Wang, J. Hou, J. Hou, J. Hou, R. Cao, R. Cao, R. Cao, Y. Zheng, Y. Zheng, Y. Zheng, W. Yang, W. Yang, W. Yang

“…Thereby, we assessed the status, spatial variations, and influential factors of soil nutrients and acidification in China's tea plantations based on 1843 datasets collected from 379 published articles. The results showed that only 40.9 % of the observed tea plantations meet the standards of high-quality tea plantations. …”
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Identification of hub biomarkers and immune cell infiltrations participating in the pathogenesis of endometriosis by Kang Li, Jiaxu Wang, Xuyue Liu, Yifei Dang, Kaiting Wang, Manyu Li, Xiaoli Zhang, Yuan Liu

“…The gene expression datasets of EM and the healthy control were obtained from the Gene Expression Omnibus (GEO). …”
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Advancing Alzheimer's Therapy: Computational strategies and treatment innovations by Jibon Kumar Paul, Abbeha Malik, Mahir Azmal, Tooba Gulzar, Muhammad Talal Rahim Afghan, Omar Faruk Talukder, Samar Shahzadi, Ajit Ghosh

“…Moreover, machine learning algorithms enhance early diagnosis and enable precision medicine strategies by analyzing multi-modal datasets. Case studies highlight the application of computational techniques in AD therapeutics, including the suppression of crucial proteins implicated in disease progression and the repurposing of existing drugs for AD management. …”
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Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence by Youyang Qu, Lichuan Ma, Wenjie Ye, Xuemeng Zhai, Shui Yu, Yunfeng Li, David Smith

“…Extensive experiments and analysis on real-world datasets have testified the proposed model, and achieved better performance compared with existing research from perspectives of privacy protection and effectiveness.…”
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The clinical application of artificial intelligence in cancer precision treatment by Jinyu Wang, Ziyi Zeng, Zehua Li, Guangyue Liu, Shunhong Zhang, Chenchen Luo, Saidi Hu, Siran Wan, Linyong Zhao

“…Abstract Background Artificial intelligence has made significant contributions to oncology through the availability of high-dimensional datasets and advances in computing and deep learning. …”
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Spatio-Temporal Feature Aware Vision Transformers for Real-Time Unmanned Aerial Vehicle Tracking by Hao Zhang, Hengzhou Ye, Xiaoyu Guo, Xu Zhang, Yao Rong, Shuiwang Li

“…Our experimental results on several challenging benchmark datasets demonstrate that NT-Track surpasses existing lightweight and deep learning trackers in terms of precision and success rate. …”
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Climate variability, population growth, and globalization impacting food security in Pakistan by Sohail Abbas, Ahtisham Haider, Shazia Kousar, Heli Lu, Siqi Lu, Fang Liu, Huan Li, Changhong Miao, Wanfu Feng, Muhammad Irfan Ahamad, Muhammad Sajid Mehmood, Rana Muhammad Zulqarnain

“…Food security data was sourced from the Food and Agricultural Organization, and globalization data was obtained from the KOF Globalization Index. Datasets on climate variability, population growth, unemployment, and inflation were collected from the World Development Indicators. …”
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TSMGA: Temporal-Spatial Multiscale Graph Attention Network for Remote Sensing Change Detection by Xiaoyang Zhang, Genji Yuan, Zhen Hua, Jinjiang Li

“…We validate the effectiveness and advancement of TSMGA on three classical datasets (LEVIR-CD, WHU-CD, GZ-CD), and the experimental results show that TSMGA achieves the state-of-the-art performance level.…”
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How Do Climate and Nonclimatic Variables Influence the Production of Agricultural Staple Crops in Vulnerable Rural Communities in the Bawku Municipality of Northern Ghana? by Rashida Ayumah, Felix Asante, Lawrence Guodaar, Gabriel Eshun

“…Using five selected farming communities as study sites, multiple datasets were obtained from primary and secondary sources. …”
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Semantic Tokenization-Based Mamba for Hyperspectral Image Classification by Ri Ming, Na Chen, Jiangtao Peng, Weiwei Sun, Zhijing Ye

“…Experimental results on three HSI datasets demonstrate that the proposed STMamba outperforms existing state-of-the-art deep learning and transformer-based methods.…”
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Cultivating clean skies: unveiling the tapestry of air quality in Gujarat through innovative machine learning analysis by Gaddam Advitha, Allada Nagasai Varaprasad, Koti Vennela Khushi, Pullabhotla Vijay, Sukanta Nayak

“…Four pivotal parameters, PM2.5, PM10, SO2, and NOX, are scrutinized due to their substantial impact on air quality and inclusion in publicly available datasets. Remarkably, both RF and XGBoost models exhibit outstanding performance, surpassing 99% accuracy. …”
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The future of plant lectinology: Advanced technologies and computational tools by Vinicius J.S. Osterne, Kyria S. Nascimento, Benildo S. Cavada, Els J.M. Van Damme

“…Genomic and transcriptomic analyses facilitate the exploration of the lectome in various plant species by scanning entire datasets to identify genes that contain lectin motifs—specific conserved amino acid sequences involved in carbohydrate recognition—and lectin domains, the larger structural regions that facilitate and stabilize these interactions. …”
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Formin protein DAAM1 positively regulates PD-L1 expression via mediating the JAK1/STAT1 axis in pancreatic cancer by Rui Xu, Mengyun Wan, Jiadong Pan, Jie Mei, Ji Zhou, Yan Shen, Jiayue Yang, Yichao Zhu, Jing Sun

“…Methods Multiple public datasets and an in-house cohort were utilized to assess the clinical relevance of DAAM1 in pancreatic cancer. …”
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