Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs by Weiyi Feng, Yubin Lan, Hongjian Zhao, Zhicheng Tang, Wenyu Peng, Hailong Che, Junke Zhu

“…Furthermore, the research conducted principal component analysis (PCA) and membership function analysis on the predicted values of the optimal models for each indicator, established a comprehensive evaluation index for high photosynthetic efficiency, and employed cluster analysis to screen the test materials. …”
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Identification of key molecular targets for stachyose in hepatocellular carcinoma: focus on STAT3 and FN1 by Haihua Chen, Xianyou Wang, Jiongcheng Ying, YuQin Huang, Yuxi Liu, Yifu Feng, Binbo Fang, Binbo Fang

“…This study aimed to predict potential targets of STA in HCC treatment and to identify key hub genes.MethodsBy integrating multiple public databases and bioinformatics tools, we screened 34 candidate targets and constructed STA’s action network and PPI network in HCC. Functional enrichment analysis revealed 10 relevant KEGG pathways and key features related to cellular components, molecular functions, and biological processes. …”
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Bioinformatics analysis of lncRNA and mRNA differentially expressed in patients with cervical cancer by Xiaohua An, Xiaohua An, Xiaoxue Huang, Qiujie Yu, Qiujie Yu, Yiyue Tang, Yan Wang, Yan Wang, Huasu Chen, Huasu Chen, Yafei Zhang, Yafei Zhang, Qianhao Huang, Qianhao Huang, Yudi Rao, Yudi Rao, Guomei Hu, He Zha

“…The detection results were validated by GEPIA database analysis and RT-qPCR. Functional annotations of differential mRNAs were conducted through Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) network states. …”
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Modulatory effect of levodopa on the basal ganglia-cerebellum connectivity in Parkinson’s disease by Juyoung Jenna Yun, Subati Abulikemu, Kodchakorn Love Jangwanich, Yen F. Tai, Shlomi Haar

“…Univariate comparisons of inter-regional connectivity between conditions were conducted, and multivariate combinations of connections within and between networks were assessed. …”
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Reconfigurable Dual‐Gate Ferroelectric Field‐Effect Transistors Based on Semiconducting Polymer for Logic Operations and Synaptic Applications by Yuqing Ding, Xinzhao Xu, Yangjiang Wu, Haoqin Zhang, Lin Shao, Zhihui Wang, Hailing Zhang, Yan Zhao, Yunqi Liu

“…The dual‐gate coupling strategy further expands its functionality towards simulating the operation of logic gates. …”
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‘Time is of the essence’: upper-body aerobic exercise to improve cardiovascular health during inpatient rehabilitation within the first year following spinal cord injury – protocol... by Samuel J E Lucas, Tom E Nightingale, Naveen Kumar, Shin-Yi Chiou, Afroditi Stathi, Manish Kalla, Daniel D Hodgkiss, Shane J T Balthazaar, Aheed E F Osman, Srinivasa C Budithi, Joy Roy Chowdhury

“…This study aims to provide insight into the impact of moderate-intensity arm-crank exercise training (ACET) on cardiometabolic, HRQOL, functional and fitness parameters in individuals with subacute (<12 months postinjury) SCI.Methods and analysis We will conduct a single-centre, two-group, single-blind randomised controlled trial with 42 participants who have sustained a cervical or thoracic SCI within the past year. …”
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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…To improve the convergence and reduce the complexity of the model, an advanced loss function of super-efficient IOU (SEIOU) and network pruning are applied. …”
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Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost by Ji XU, Zicheng XIN, Mo LAN, Wenhui LIN, Bo ZHANG, Qing LIU

“…Unlike other furnaces, the VD furnace lacks a heating function, leading to a significant drop in the temperature of molten steel during the refining process. …”
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Smart hydrogels for sensing and biosensing – Preparation, smart behaviours, and emerging applications – A comprehensive review by Devulapalli Revathi, Subhasree Panda, Kalim Deshmukh, Nisha Khotele, V.R.K. Murthy, S.K. Khadheer Pasha

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Integrated bioinformatic analysis of the shared molecular mechanisms between ANCA-associated vasculitis and atherosclerosis by Xun Hu, Inmaculada Xu Lou, Qilan Chen

“…Based on the co-expressed genes, functional enrichment analysis, protein-protein interaction (PPI) network analysis, and identification of hub genes (HGs) were conducted. …”
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Health risks of climate change in Australia: An umbrella review by Michael Tong, Enembe Okokon, Sotiris Vardoulakis

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Integration of bioinformatics and identification of the role of m6A genes in NAFLD. by Jianguo Ma, Rongyi Xu, Renlin Li, Yangyang Fu, Jing Xu, Lei Zhou, Yan Qi

“…In this study, a thorough analysis of three gene expression datasets identified nine key differentially expressed genes DEGs associated with m6A methylation in NAFLD that are involved in important biological processes. Subsequently, functional enrichment analysis, weighted gene co-expression network analysis (WGCNA), gene set variation analysis (GSVA) and immune infiltration analysis were conducted to explore the molecular mechanism and gene expression patterns. …”
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Identifying pyroptosis- and inflammation-related genes in spinal cord injury based on bioinformatics analysis by Xiang-Xia, Kai-xuan Li, Qiu-Wei Li, Zuo-Meng Wu, Ruo-Cheng Guo, Cai-Liang Shen

“…DEPRGs, miRNAs, lncRNAs, and circRNAs were screened using R software. Functional enrichment analyses of DEPRGs were performed, and a protein-protein interaction (PPI) network was constructed. …”
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Fish keypoint detection for offshore aquaculture: a robust deep learning approach with PCA-based shape constraint by Gen Li, Gen Li, Anji Lian, Zidan Yao, Yu Hu, Yu Hu, Guoliang Pang, Guoliang Pang, Taiping Yuan, Taiping Yuan, Zhenhua Li, Xiaohua Huang, Xiaohua Huang, Gang Wang

“…As a result, output keypoints of such networks do not always conform to the shape of a fish and the training process can be affected by incorrect labels, leading to errors in subsequent tasks.MethodsTo address these issues, this paper proposes a robust deep learning approach characterized by three improvements. 1) A shape model of fish that includes the average shape of fish, principal components of fish keypoints, and corresponding eigenvalues is constructed using principal component analysis (PCA) and unscented transform. 2) A customized version of anchor boxes is introduced and referred to as “anchor fish”, which along with the shape model, can be used to encode and decode fish keypoints. 3) Shape variation loss, calculated based on the eigenvalues in the shape model, is added as part of the loss function to constrain the output of the regression head. …”
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Amantadine modulates novel macrophage phenotypes to enhance neural repair following spinal cord injury by Shijie Yang, Beibei Yu, Qing Zhang, Yongfeng Zhang, Longhui Fu, Bisheng Zhou, Haining Wu, Jianzhong Li, Shouping Gong

“…This modulation promotes neural regeneration and enhances functional recovery following SCI. Conclusions Amantadine modulates macrophage phenotypes following SCI, reduces early inflammatory responses, and enhances neural function recovery. …”
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BRA-YOLOv7: improvements on large leaf disease object detection using FasterNet and dual-level routing attention in YOLOv7 by Rong Ye, Rong Ye, Quan Gao, Quan Gao, Tong Li, Tong Li

“…BRA-YOLOv7 incorporates PConv and FasterNet as replacements for the original network structure of YOLOv7, reducing the number of floating-point operations and improving efficiency. …”
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GAN-based image prediction of maize growth across varieties and developmental stages by Xinyi Wang, Shilong Liu, Zhihao Wang, Zedong Geng, Weikun Li, Chengxiu Wu, Yingjie Xiao, Wanneng Yang, Lingfeng Duan

“…Results This article proposed a visualized growth prediction method based on an improved Pix2PixHD network, incorporating spatial attention mechanisms, an improved loss function, and a modified dropout strategy to enhance prediction accuracy and visual fidelity. …”
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Genome-wide identification of the adaptor protein complexes and its expression patterns analysis in foxtail millet (Setaria italica L.) by Dan Wang, Min Su, Jian-Hong Hao, Zi-Dong Li, Shuqi Dong, Xiangyang Yuan, Xiaorui Li, Lulu Gao, Xiaoqian Chu, Guanghui Yang, Jia-Gang Wang, Huiling Du

“…Abstract Backgrounds Adapter proteins (APs) complex is a class of heterotetrameric complexes comprising of 4-subunits with important regulatory functions in eukaryotic cell membrane vesicle trafficking. …”
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Effect of transcranial magnetic stimulation combined with transcutaneous auricular vagus nerve stimulation on mild cognitive impairment: a study protocol for a randomized controlle... by Jingjing Zhang, Jingjing Zhang, Jun Ma, Jun Ma, Yao Rao, Yao Rao, Jiali Wu, Jiali Wu, Hui Xu, Hui Xu, Jiawei Ni, Jiawei Ni, Zhiwei Zhao, Zhiwei Zhao, Cong Wang, Cong Wang, Cong Wang, Chunlei Shan, Chunlei Shan, Chunlei Shan

“…BackgroundNon-invasive brain stimulation techniques have been widely used in patients with mild cognitive impairment (MCI) to accelerate the recovery of their cognitive functions. However, the clinical efficacy of single non-invasive stimulation techniques in treating MCI still requires further improvement. …”
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Exploration of biomarkers associated with histone lactylation modification in spinal cord injury by Yisong Sun, Jie Gao, Juehua Jing

“…Inter-cluster comparisons were conducted to examine Hallmark pathways, HLA genes, and immune functions. …”
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