Scale and the workplace as level of analysis in transport geography by Thomas Vanoutrive

“…However, these measures ignore the relationships and interactions of and between employees. An alternative, network-based view on workplaces is illustrated by means of a small case study. …”
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A novel role for the transcription factor Cwt1p as a negative regulator of nitrosative stress in Candida albicans. by Adnane Sellam, Faiza Tebbji, Malcolm Whiteway, André Nantel

“…Additionally, we used Gene Set Enrichment Analysis to reinvestigate the C. albicans NSR-transcriptome and demonstrate a significant similarity with the transcriptional profiles of C. albicans interacting with phagocytic host-cells. In summary, we have characterized a novel negative regulator of NSR and bring new insights into the transcriptional regulatory network governing fungal NSR.…”
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Triple-attentions based salient object detector for strip steel surface defects by Li Zhang, Xirui Li, Yange Sun, Huaping Guo

“…Existing deep learning based detectors for strip steel surface defects typically strive to iteratively refine and integrate the coarse outputs of the backbone network, enhancing the models’ ability to express defect characteristics. …”
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Diff-Pre: A Diffusion Framework for Trajectory Prediction by Yijie Liu, Chengjie Zhu, Xin Chang, Xinyu Xi, Che Liu, Yanli Xu

“…The model uses historical trajectories of the target and adjacent vehicles as input, employs Long Short-Term Memory (LSTM) networks to extract temporal features, and dynamically captures the interaction between the target and neighboring vehicles through a multi-head attention mechanism. …”
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Cognitive control states and traits modulate lexical competition during word production by Sifan Zhang, Keyi Kang, Jing Zhong, Hanxiang Yu, Cheng-Teng Ip, Haoyun Zhang

“…Overall, the results highlight how cognitive control states and traits dynamically modulate word production, through the interaction between domain-general and language networks.…”
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SPP1 is a plasma biomarker associated with the dia gnosis and prediction of prognosis in sepsis by Yu Zhou Shen, Wei Xiong, Ying Chun Hu, Wu Zhong

“…In addition to gene ontology analysis and Kyoto Encyclopedia of genes and genomes analysis, enrichment analysis of data was performed and target protein network was screened through joint protein–protein interaction and visualization techniques. …”
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Evaluating the change and trend of construction land in Changsha City based GeoSOS-FLUS model and machine learning methods by Zuopeng Zhang, Zhe Li, Zhirong Li

“…Three classification models—Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and Artificial Neural Network (ANN) were employed to evaluate the accuracy of land use classification. …”
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The landscape in telomere related gene prognostic signature for survival and medication treatment effectiveness prediction in hepatocellular carcinoma by Kai Zhou, Xingyu Liu, Mingda Wang, Jinjiang Duan, Xu Zhao, Hanjun Yin

“…CDCA8 was identified as a key gene in the Protein Interaction Network, while high expression associated with poorer overall survival, tumor proliferation and metastasis. …”
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Targeting TYROBP to influence the immune microenvironment and osteogenic differentiation of mesenchymal stem cells by Liangkun Huang, Zijie Pei, Tongyi Zhang, Ze Zhang, Fengpo Sun, Liangyuan Wen

“…Ten differentially expressed core genes related to lactate metabolism were identified by differential expression analysis, protein interaction network analysis, and correlation expression analysis, and determined to play a key role in osteogenic differentiation. …”
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FRORS: An Effective Fine-Grained Retrieval Framework for Optical Remote Sensing Images by Yong-Qiang Mao, Zhizhuo Jiang, Yu Liu, Yiming Zhang, Kehan Qi, Hanbo Bi, You He

“…With FPM, GraL, and GMM, our FRORS can better learn deep features representing fine-grained classes and promote the improvement of the network&#x0027;s fine-grained retrieval ability. Extensive experiments conducted on a self-constructed THUFG-OPT dataset prove that the proposed FRORS achieves state-of-the-art fine-grained retrieval performance, which is 5.75% higher than the baseline method on <inline-formula><tex-math notation="LaTeX">$\mathrm{mAP@10}$</tex-math></inline-formula>.…”
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MicroRNA: sex steroids, hormonal carcinogenesis, hormonal sensitivity of tumor tissue by A. V. Malek, L. M. Bershtein

“…This downstream regulatory network substantially enhances biological effects of sex hormones at physiological conditions. …”
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Comparative Transcriptomics Analysis of Foot-and-Mouth Disease Virus-Infected Cell Model Systems by Haibin Ma, Zhenzhen Zheng, Min Liu, Mengsi Zhang, Xiaoyun Qu, Jingqiang Ren, Ming Liao

“…In the analysis of the protein–protein interaction network, Fos, Flt3lg, Rpl22l1, Ifi35, Ep300, and Rps16 emerged as pivotal hub proteins, underscoring their significant roles within the cellular interactome. …”
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Identification of key genes as diagnostic biomarkers for IBD using bioinformatics and machine learning by Tianhao Li, Haoren Jing, Xinyu Gao, Te Zhang, Haitao Yao, Xipeng Zhang, Mingqing Zhang

“…Core candidate genes were subsequently prioritized using protein-protein interaction network analysis, further refined through machine learning approaches (Random Forest/Support Vector Machines). …”
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The Significance and Diagnostic Potential of CEA and FIB in Colorectal Cancer by Lin Zhu, Jie Feng, Xu Zhang, Xuemei Wei, Cuiling Ming, Yanhong Gao

“…Protein‐protein interaction network analysis showed that the fibrinogen alpha (FGA) gene had the strongest correlation with albumin (ALB), alpha‐2‐Heremans Schmid glycoprotein (AHSG), and serpin peptidase inhibitor, clade D, member 1 (SERPIND1). …”
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Exploring Competitive Relationship Between <i>Haemophilus parainfluenzae</i> and Mitis Streptococci via Co-Culture-Based Molecular Diagnosis and Metabolomic Assay by Yeseul Choi, Jinuk Jeong, Youngjong Han, Miyang Han, Byungsun Yu, Kyudong Han

“…However, experimental evidence on various estimated bacterial networks within the salivary microbiome is insufficient. …”
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Single-cell sequencing reveals PTX3 involvement in ovarian cancer metastasis by Shuangyan Liu, Tianhao Wu, Xueying Song, Linru Quan, Xinyi Wang, Qing Liu, Xin Zhou

“…Additionally, PTX3’s modulation of the EMT and NF-κB pathways is partially dependent on its interaction with TLR4. Furthermore, this study revealed the intercellular regulatory network related to PTX3 in OC cells via bioinformatic analysis. …”
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Genistein Improves the Cytotoxic, Apoptotic, and Oxidative-Stress-Inducing Properties of Doxorubicin in SK-MEL-28 Cancer Cells by Andrea Roman, Andrei Motoc, Iasmina Marcovici, Cristina Dehelean, Laura Nicolescu, Casiana Boru

“…<i>Results</i>: The results revealed that the combination of GEN 10 µM with DOX (0.5 and 1 µM) provided augmented cytotoxic events (e.g., reduced cell viability, altered cell morphology and confluence, apoptotic-like impairments in nuclear shape and cytoskeletal network, increased caspases-3/7 and -9 activity, and elevated ROS) in SK-MEL-28 cells, compared to individual treatments, and exerted a strong synergistic interaction. …”
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Analysis of brain dynamics changes in patients with cerebral small vessel disease-related cognitive impairment based on electroencephalogram microstates by Xin Jin, Yanru Zhou, Diwen Zhang, Xiu Chen, Jianghai Ruan, Dengfu Fang

“…Conclusion The CSVD group demonstrated increased stability in brain functional networks but reduced inter-network interaction capabilities. …”
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Molecular mechanisms and therapeutic targets of acute exacerbations of chronic obstructive pulmonary disease with Pseudomonas aeruginosa infection by Zhiwei Lin, Shuang Liu, Ke Zhang, Tianyu Feng, Yewei Luo, Yu Liu, Baoqing Sun, Luqian Zhou

“…Differentially expressed proteins (DEPs) and genes (DEGs) were identified and subjected to protein-protein interaction (PPI) network analysis, weighted gene co-expression network analysis (WGCNA), and immune infiltration analysis. …”
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Novel lncRNA LncMSTRG.11341.25 Promotes Osteogenic Differentiation of Human Bone Marrow Stem Cells via the miR-939-5p/PAX8 Axis by Feifei Ni, Jianjun Li, Qin Yin, Yangyang Chen, Zengwu Shao, Hong Wang

“…LncMSTRG25 knockdown significantly inhibited the osteogenic ability of hBMSCs. When we knocked down PAX8 alone, we found that the osteogenic ability of hBMSCs was also significantly reduced. …”
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