Patient-specific data fusion defines prognostic cancer subtypes. by Yinyin Yuan, Richard S Savage, Florian Markowetz

“…We present a nonparametric Bayesian model for discovering prognostic cancer subtypes by integrating gene expression and copy number variation data. …”
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Joint Genomic and Transcriptomic Analysis Reveals Candidate Genes Associated with Plumage Color Traits in Matahu Ducks by Pengwei Ren, Liu Yang, Muhammad Zahoor Khan, Yadi Jing, Meixia Zhang, Chao Qi, Xin Zhang, Xiang Liu, Zhansheng Liu, Shuer Zhang, Mingxia Zhu

“…However, the genetic basis for this plumage variation is still unknown, necessitating further research. …”
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Multiscale impacts of landscape metrics on water quality based on fine-grained land use maps by Ya’nan Zhou, Ya’nan Zhou, Jinke He, Jinke He, Li Feng, Li Feng, Binyao Wang, Binyao Wang, Yuehong Chen, Yuehong Chen, Lingzhan Miao, Lingzhan Miao

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The ARTS of being a surgeon: a qualitative study exploring supervisors’ trust decisions when granting autonomy to trainees by Karen Busk Hesseldal, Jane Ege Møller, Charlotte Paltved, Anders Husted Madsen, Rune Dall Jensen

“…However, trust is difficult to quantify and assess. Procedural variation seen among residents may be influenced by supervisors’ trust in their trainee. …”
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Foundation neural-networks quantum states as a unified Ansatz for multiple hamiltonians by Riccardo Rende, Luciano Loris Viteritti, Federico Becca, Antonello Scardicchio, Alessandro Laio, Giuseppe Carleo

“…Inspired by this success, we propose Foundation Neural-Network Quantum States (FNQS) as an integrated paradigm for studying quantum many-body systems. …”
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Why big brains? A comparison of models for both primate and carnivore brain size evolution. by Helen Rebecca Chambers, Sandra Andrea Heldstab, Sean J O'Hara

“…Future studies should give careful consideration of the methods chosen for measuring brain size, investigate both whole brain and specific brain regions where possible, and look to integrate multiple variables, thus fully capturing all of the potential factors influencing brain size.…”
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Comparative effectiveness of different surgical timings on neurological outcomes for cranioplasty: Protocol for a prospective non-randomized controlled trial. by Jingguo Yang, Xingyu Zhang, Xiaoyu Yang, Junjie Wang, Chao You, Lu Ma, Junwen Guan

“…<h4>Background</h4>Cranioplasty (CP), a surgical procedure that restores cranial integrity and potentially enhances neurological outcomes, is commonly performed following decompressive craniectomy for various reasons. …”
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NiCo identifies extrinsic drivers of cell state modulation by niche covariation analysis by Ankit Agrawal, Stefan Thomann, Sukanya Basu, Dominic Grün

“…However, available computational methods to infer topological tissue domains, spatially variable genes, or ligand-receptor interactions are limited in their capacity to capture cell state changes driven by crosstalk between individual cell types within the same niche. …”
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Generation driven understanding of localized 3D scenes with 3D diffusion model by Hao Sun, Junping Qin, Zheng Liu, Xinglong Jia, Kai Yan, Lei Wang, Zhiqiang Liu, Shaofei Gong

“…In addition to accurately predicting the distribution of the noise tensor, the framework significantly enhances the understanding of localized scenes by effectively integrating spatial context information. Specifically, 3D-UDDPM combines Markov chain Monte Carlo (MCMC) sampling and variational inference methods to reconstruct clear structural details in a stepwise backward inference manner, thereby driving the generation and understanding of local 3D scenes by internalizing geometric features as a priori knowledge. …”
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Comparative transcriptomics of two petal variants reveals key functional genes underlying petal shape development in lotus (Nelumbo) by Jiaxin He, Jiaxin He, Yini Ma, Qingqing Liu, Rui Zhang, Guohong Huang, Dasheng Zhang, Fengluan Liu, Caixia Yang

“…Using RNA-sequencing technology, differentially expressed genes (DEGs) between variant and wild-type petals were identified, followed by gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses. By integrating the results of morphological and enrichment analysis, key genes involved in the development of wide and narrow petal shapes in lotus were identified.ResultsIt revealed that the broad petal variation of M512 was caused by a reduction in petal length while maintaining width, whereas the narrow petal phenotype of CSFY resulted from a combination of increased length and decreased width. …”
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Deciphering the Structural and Functional Effects of the R1150W Non-Synonymous Variant in SCN9A Linked to Altered Pain Perception by Faisal A. Al-Allaf, Zainularifeen Abduljaleel, Mohammad Athar

“…This study conducts a multimodal assessment of SCN9A, integrating genetic variation, structural architecture, and molecular dynamics to elucidate its role in pain regulation. …”
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Population dynamics by E. G. Cooch, A. A. Dhondt

“…Using a Markov Chain Monte Carlo (MCMC) approach (which eliminates the need for some of the standard assumption often invoked in use of a Kalman filter), Brooks and colleagues describe methods to combine information, including potentially relevant covariates that might explain some of the variation, within a larger framework that allows for discrimination (selection) amongst alternative models. …”
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S3FCD: a single-temporal self-supervised learning framework for remote sensing image change detection by Wenqian Lv, Nian Shi, Keming Chen, Guangyao Zhou, Chunlei Huo

“…Existing deep learning-based change detection methods achieve high performance by utilizing annotated and registered bi-temporal images. …”
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Deciphering the evolutionary imprints of Camellia oleifera Abel.: delineating its distinct phylogeographic structure and demographic history through microsatellite and plastid frag... by Tao Chen, Tingting Xiang, Qian Zheng, Xuekun Kuang, Qingbo Kong, Jiasi Zhou, Heng Wang, Lijun Zhou, Shiling Feng, Ming Yuan, Hongyu Yang, Chunbang Ding

“…The integrated Approximate Bayesian Computation (ABC) and ecological niche modeling (ENM) were utilized to analyze the demographic and evolutionary history. …”
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Comparative analysis of stability models for identifying rice inter-subspecific breeding lines adapted to different temperature regimes for exploitation in hybrid breeding by Bonipas Antony John, Saraswathi Ramaswamy, Manonmani Swaminathan, Kumaresan Dharmalingam, Gunasekaran Mahalingam, Pushpa Raman, Ramalingam Jegadeesan

“…The analysis results revealed a significant genotype-environment interaction in the current study, with temperature being a key factor influencing genotype variation across environments. Various stability models were assessed for efficiency based on correlation and genetic gain results, which indicated that integrating yield performance with stability indices such as GGE (17.51), RPGV (17.51), HMGV (17.51), and WAASBY (166.32) led to higher genetic gain. …”
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Multi-omics analysis reveals immunosuppression in oesophageal squamous cell carcinoma induced by creatine accumulation and HK3 deficiency by Yingzhen Gao, Siyu He, Xiaoyan Meng, Kun Zheng, Heyang Cui, Yikun Cheng, Xinyuan Shen, Yuanfang Zhai, Binbin Zou, Fang Wang, Hongyi Li, Pengzhou Kong, Yanqiang Wang, Xuefei Feng, Bin Yang, Ruifang Sun, Yongsheng Meng, Enwei Xu, Yanlin Guo, Ning Ding, Weimin Zhang, Xiaolong Cheng, Lunzhi Dai, Yongping Cui, Ling Zhang

“…Importantly, ESCC patients were stratified into three subtypes (S1, S2, and S3) on the basis of integrated metabolomic and proteomic data. A robust subtype prediction model was developed and validated across two independent cohorts. …”
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A Novel Grey Prediction Model: A Hybrid Approach Based on Extension of the Fractional Order Discrete Grey Power Model with the Polynomial-Driven and PSO-GWO Algorithm by Baohua Yang, Xiangyu Zeng, Jinshuai Zhao

“…Traditional forecasting models often struggle to accurately capture the complex patterns of change within the data. Methods: To this end, this study introduces a novel polynomial-driven discrete grey power model (<i>PFDPGM</i>(1,1)) that includes time perturbation parameters, enabling a flexible representation of complex variation patterns in the data. …”
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Adaptation and Grain Yield Stability Analysis of Winter Wheat Cultivars with and Without Fungicides Treatment from National Variety Trials in Sweden by Admas Alemu, Pawan K. Singh, Aakash Chawade

“…The multi-environment evaluation of wheat genotypes for grain yield is an integral part of germplasm enhancement since it plays a pivotal role in sustainable production. …”
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Goistrat: gene-of-interest-based sample stratification for the evaluation of functional differences by Carlos Uziel Pérez Malla, Jessica Kalla, Andreas Tiefenbacher, Gabriel Wasinger, Kilian Kluge, Gerda Egger, Raheleh Sheibani-Tezerji

“…Conclusion Our comprehensive approach provides a novel tool to identify disease-relevant functions of genes of interest (GOI) in large datasets. This integrated approach offers a valuable framework for understanding the role of the expression variation of a GOI in complex diseases and for informing on targeted therapeutic strategies.…”
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Reinforcement learning-based assimilation of the WOFOST crop model by Haochong Chen, Xiangning Yuan, Jian Kang, Danni Yang, Tianyi Yang, Xiang Ao, Sien Li

“…Crop model assimilation is a crucial technique for improving the accuracy and precision of crop models by integrating observational data and crop models. Although conventional data assimilation methods such as Kalman filtering and variational methods have been widely applied, these methods often face limitations in data quality, model bias, and high computational complexity. …”
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