A data-driven approach to forest health assessment through multivariate analysis and machine learning techniques by Raja Waqar Ahmed Khan, Hamayun Shaheen, Muhammad Ejaz Ul Islam Dar, Tariq Habib, Muhammad Manzoor, Syed Waseem Gillani, Abeer Al-Andal, John Oluwafemi Ayoola, Muhammad Waheed

“…Forest regeneration was highly skewed (2.67) and leptokurtic (9.8), with few sites showing high seedling abundance, while deforestation (mean = 294 stumps ha−1) indicated uneven human impact. Among ML models, RF showed the best performance with a mean accuracy of 0.83, Kappa 0.87, and balanced accuracy 0.88. …”
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Exploring the legitimacy of industry-led farm animal welfare governance using examples of Canadian and United States dairy standards by Christine Kuo, Daniel M. Weary, Steven M. Roche, Marina A.G. von Keyserlingk

“…The Canadian system featured more balanced representation, and their standard development process uses a consensus-based model, which bolsters legitimacy compared to the US system. …”
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Enhanced allergic Eustachian tube response in surfactant protein D knockout mice induced by ovalbumin by Xuan Yu, Hejie Li, Wei Tang, Xi Lian, Wenting Yu, Ting Li, Shimin Zong, Hongjun Xiao

“…However, the precise pathophysiological mechanisms remain unclear, and effective models to elucidate the role of allergic responses in ETD are lacking. …”
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Distinct CTC Specific RNA Profile Enables NSCLC Early Detection and Dynamic Monitoring of Advanced NSCLC by Xiaoyu Wang, Pi Ding, Wenjuan Xu, Lei Qiu, Jing Ren, Yucheng Fei, Zhili Wang, Cheng Li, Yufei Xing, Mingjing Shen, Yawen Zhu, Yun Guo, Na Sun, Renjun Pei, Minhua Shi

“…Compared to NSCLC CTC ScoreD, NSCLC CTC ScoreM captures a key gene feature of KRT19, whose fragment protein, serum CYFRA 21‐1, is used as a prognostic biomarker for advanced NSCLC. …”
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Reverse design of solid propellant grain based on deep learning: Imaging internal ballistic data by Lin Sun, Xiangyu Peng, Yang Liu, Shu Long, Weihua Hui, Ran Wei, Futing Bao

“…This paper conducts comparative experiments across various neural network models, validating the effectiveness of the feature extraction method that transforms internal ballistic time-series data into images, as well as its generalization capability across different CNN architectures. …”
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Expression and Localization of hspa5 in Response to Thermal Stress in the Spotted Sea Bass (Lateolabrax maculatus) by Xiaoqiang LIU, Chunhui FENG, Haishen WEN, Yun LI, Tianyu JIANG, Xin QI

“…This indicated the crucial role of hspa5 in the hepatic response to high-temperature stress in L. maculatus.To determine the cellular localization of hspa5 in response to heat stress, we performed in situ hybridization and hematoxylin-eosin (HE) staining of liver tissue sections. …”
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CA-ViT: Contour-Guided and Augmented Vision Transformers to Enhance Glaucoma Classification Using Fundus Images by Tewodros Gizaw Tohye, Zhiguang Qin, Mugahed A. Al-antari, Chiagoziem C. Ukwuoma, Zenebe Markos Lonseko, Yeong Hyeon Gu

“…Both the original images and extracted contours are given to the ViT backbone; then, feature alignment is performed with a weighted cross-entropy loss. …”
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Spin-orbital excitations encoding the magnetic phase transition in the van der Waals antiferromagnet FePS3 by Yuan Wei, Yi Tseng, Hebatalla Elnaggar, Wenliang Zhang, Teguh Citra Asmara, Eugenio Paris, Gabriele Domaine, Vladimir N. Strocov, Luc Testa, Virgile Favre, Mario Di Luca, Mitali Banerjee, Andrew R. Wildes, Frank M. F. de Groot, Henrik M. Rønnow, Thorsten Schmitt

“…Abstract Van der Waals (vdW) materials are featuring intertwined electronic order and collective phenomena. …”
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Multi-Omics and Experimental Validation Identify GPX7 and Glutathione-Associated Oxidative Stress as Potential Biomarkers in Ischemic Stroke by Tianzhi Li, Sijie Zhang, Jinshan He, Hongyan Li, Jingsong Kang

“…In addition, single-cell RNA sequencing data were analysed to further reveal expression in different cell types and its biological significance. Finally, we performed in vivo experiments using the Wistar rat middle cerebral artery occlusion (MCAO) model, and the results indicated that <i>GPX7</i> plays a key role in IS, providing a new theoretical basis and potential intervention target for the precise treatment of IS.…”
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NARX Neural Network Derivations of the Outer Boundary Radiation Belt Electron Flux by D. A. Landis, A. A. Saikin, I. Zhelavskaya, A. Y. Drozdov, N. Aseev, Y. Y. Shprits, M. F. Pfitzer, A. G. Smirnov

“…Abstract We present two new empirical models of radiation belt electron flux at geostationary orbit. …”
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Dementia in People With Multiple Sclerosis: A Systematic Review and Meta‐Analysis by Omid Mirmosayyeb, Danial Dehghani Firouzabadi, Soroush Oraee, Mohammadreza Alinejadfard, Mohammad Yazdan Panah, Saeed Vaheb, Hamed Ghoshouni, Vahid Shaygannejad

“…This meta‐analysis used a random‐effects model to calculate the pooled prevalence and risk of dementia among PwMS, where the prevalence rate and HR were the main metrics for effect size. …”
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Polarimetric SAR Ship Detection Using Context Aggregation Network Enhanced by Local and Edge Component Characteristics by Canbin Hu, Hongyun Chen, Xiaokun Sun, Fei Ma

“…Compared with other decomposition models, the proposed characteristic combination model performs well in complex backgrounds and can distinguish ship from sea more effectively. …”
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Dataset of anonymized discharge summaries of sepsis patients from a Brazilian tertiary hospital for NLP applications.Dataverse by Rildo Pinto da Silva, Antonio Pazin-Filho

“…The resulting dataset comprises 200 anonymized Brazilian Portuguese discharge summaries, along with their respective associated variables, displayed in a tabular format.The data provided in this article offers a valuable, practical resource featuring real medical data for teaching and learning basic NLP techniques, such as text preprocessing, named entity recognition, text classification, and topic modeling.…”
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The absence of Pitx3 results in postnatal loss of dopamine neurons and is associated with an increase in the pro-apoptotic Bcl2 factor Noxa and cleaved caspase 3 by Willemieke M. Kouwenhoven, Edward J. Robinson, Daniek Hamberg, Lars von Oerthel, Marten P. Smidt, Lars P. van der Heide

“…Here, we demonstrate, using a Pitx3 knockout GFP knock-in mouse model, that this loss does not occur during embryogenesis but rather postnatally. …”
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Level of personality functioning scale-brief form 2.0: validity and reliability of the Chinese version by Dandan Ma, Bindong Dai, Yufei Wang, Jinya Cao, Jing Wei

“…The CFA indicated a more excellent fit for the two-factor model (χ2/df = 1.81, RMSEA = 0.06, SRMR = 0.04, CFI = 0.96). …”
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Simultaneous profiling of mercapturic acids, glucuronic acids, and sulfates in human urine by Jin Y. Chen, Saurin R. Sutaria, Zhengzhi Xie, Manjiri Kulkarni, Rachel J. Keith, Aruni Bhatnagar, Clara G. Sears, Pawel Lorkiewicz, Sanjay Srivastava

“…These metabolites were derived from over 200 putative parent compounds of exogenous and endogenous sources, such as dietary compounds, benzene/monocyclic substituted aromatics, pharmaceuticals, polycyclic aromatic hydrocarbons, bile acids/bile salts, and 4-hydroxyalkenals associated with lipid peroxidation process. Further, we performed statistical analyses on 214 metabolites found in more than 75% of samples to examine the association between metabolites and demographic characteristics using integrated network analysis, principal component analysis (PCA), and multivariable linear regression models. …”
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Lactylation associated biomarkers and immune infiltration in aortic dissection by Jianfeng Ye, Yuntao Fu, Yuanjia Ke, Huanting Liu, Sini Fang, Yumeng Lei, Ying Mao, Liqiu Yan, Youcheng Wang

“…Experimental validation was performed using human aortic tissues and an AD model. …”
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Experimental assessment and data-driven hybrid machine learning quantification with parametric optimization of compressive strength of ceramic waste concrete by Mihir Mishra, Md. Habibur Rahman Sobuz, Md. Kawsarul Islam Kabbo, M Jameel, Turki S. Alahmari, Naim Ahmad, Md. Munir Hayet Khan

“…Furthermore, SHAP analysis and partial dependence plots (PDP) were used to show how each input feature affected the CS. According to the results, the hybrid Bagging-DT model outperformed other models and obtained training and testing R2 values of 0.9965 and 0.9623, with training RMSE, MAE, and MAPE of 1.252, 0.678, and 2.667 %. …”
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UAV-based phenotyping identifies net assimilation rate as a diagnostic trait for synergistic enhancement of rice yield and grain quality by Weiyuan Hong, Xiangqian Feng, Ziqiu Li, Jinhua Qin, Huaxing Wu, Yunbo Zhang, Guang Chu, Chunmei Xu, Kai Yu, Yuanhui Liu, Danying Wang, Song Chen

“…Using UAV data, effective regression models were developed to monitor five rice traits: plant height (R2 ​= ​0.89), aboveground biomass (R2 ​= ​0.84), leaf area index (R2 ​= ​0.61), canopy nitrogen content (R2 ​= ​0.68), and leaf nitrogen content (R2 ​= ​0.83), thereby systematically establishing 37 critical plant traits across the growth stages. …”
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Identification of electromyographic patterns of bradykinesia in patients with Parkinson's disease by Nikita Kozulin, Anastasiya Migulina, Denis Mokrushin, Gurgen Soghoyan, Aleksandr Artemenko, Artur Biktimirov

“…Results: Peak activity increased after levodopa intake, indicating a reduction in bradykinesia. This feature partially correlates with clinicians' assessments and enhances the similarity of predictions by the MDS-UPDRS III scoring model to physician scores. …”
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