Endoplasmic reticulum stress-related CLIP4 plays a procarcinogenic role in hepatocellular carcinoma: an integrated analysis by Anqi Wang, Sitong Yan, Weijia Jiang, Xiang Chen, Yuhan Huang, Xiangyu Zu, Xiao Du, Lulu Fan, Jiatao Liu, Guoping Sun

“…In addition, the ERS-RELA-miR-222-5p-CLIP4 transcriptional network was constructed to clarify the role of CLIP4. Cell function experiments confirmed that it promotes the proliferation, migration, and EMT of HCC cells. …”
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Nano-delivery platform with strong protection and efficient delivery: preparation of self-assembled RNA pesticide with dual RNAi targets against Apolygus lucorum by Heng Qiao, Qinhong Jiang, Jing Zhao, Liubin Xiao, Keyan Zhu-Salzman, Dejin Xu, Guangchun Xu, Jie Shen, Aiguo Gu, Dejun Hao, Shuo Yan, Yongan Tan

“…This study aimed to construct a star polycation (SPc)-based delivery platform with strong protection and efficient delivery to develop a self-assembled RNA pesticide with dual RNA interference (RNAi) targets. …”
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Application of an integrated behaviour-change model on grandparental adherence towards childhood domestic injury prevention in Hong Kong: a longitudinal study by Martin S Hagger, Patrick Ip, Derwin King Chung Chan, Roni Man Ying Chiu, Catherine M Capio, Patrick S H Yung, Agnes Y K Lai

“…Our results supported our hypothesis, demonstrating significant and positive associations between the following key constructs: (1) psychological need support from family and autonomous motivation; (2) autonomous motivation and social-cognitive beliefs; (3) social-cognitive beliefs and intentions; and (4) intention and behavioural adherence. …”
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Dutch Validation of the Self-Evaluation of Negative Symptoms Scale (SNS) by Tim van Brouwershaven, Anika Poppe, Gerdina Hendrika Maria Pijnenborg, André Aleman, Nynke Boonstra, Shiral Gangadin, Sonia Dollfus, Wim Veling, Stynke Castelein, Jan Alexander de Vos, Edith Liemburg, PHAMOUS-researchers, Lisette van der Meer

“…Confirmatory factor analysis (CFA) was used to evaluate the construct validity of the five subscales of the SNS. …”
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The Gas-Sensing Properties of Ag-/Au-Modified Ti₃C₂T_x (T=O, F, OH) Monolayers for HCHO and C₆H₆ Gases by Xinghua Qi, Bahadar Nawab Khattak, Arif Alam, Wenfu Liu, Yingang Gui

“…Firstly, stable structures of Ag- and Au-single-atom doped Ti₃C₂T_x (T=O, F, OH) surfaces were constructed and then HCHO and C₆H₆ gas molecules were set to approach the modified structures at different initial positions. …”
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Uric acid to albumin ratio is a novel predictive marker for all-cause and cardiovascular death in diabetic patients: a prospective cohort study by Shengnan Chen, Shengnan Chen, Ming Zhang, Shouye Hu, Xiaolong Shao, Lin Liu, Zhi Yang, Kai Nan

“…An easy and intuitive prognostic nomogram model with good predictive accuracy was constructed based on age and UAR. Patients in higher quantiles of age and UAR had more rapid progression to all-cause death and higher mortality risk than patients in the lower quantiles. …”
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Nomograms Predicting Survival, Recurrence and Beneficiary Identification of Adjuvant Chemotherapy in Treatment-naïve Patients with Rectal Cancer who Underwent Upfront Curative Rese... by Yukihide Kanemitsu, MD, Tomofumi Uotani, MD, Shunsuke Tsukamoto, PhD, Hideki Ueno, PhD, Megumi Ishiguro, PhD, Soichiro Ishihara, PhD, Koji Komori, PhD, Kenichi Sugihara, PhD, Study Group for Nomogram of the Japanese Society for Cancer of the Colon and Rectum

“…A training cohort (n = 1925) of treatment-naïve patients who underwent surgery between 2007 and 2008 was analyzed to construct prognostic models predicting postoperative survival and recurrence. …”
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Determining the mechanism of Shuxuening injection against liver cirrhosis through network pharmacology and animal experiments by Qiyao Liu, Tingyu Zhang, Yongan Ye, Xin Sun, Huan Xia, Xu Cao, Xiaoke Li, Wenying Qi, Yue Chen, Xiaobin Zao

“…A protein–protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), and hub genes were identified using Molecular Complex Detection (MCODE). …”
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MultiTax-human: an extensive and high-resolution human-related full-length 16S rRNA reference database and taxonomy by Zhiwei Bao, Bin Zhang, Jianhua Yao, Ming D. Li

“…In this study, we developed an automatic system, named MultiTax pipeline, for generating de novo taxonomy from full-length 16S rRNA sequences using the Genome Taxonomy Database and other existing reference databases. We first constructed the MultiTax-human database, a high-resolution resource specifically designed for human microbiome research and clinical applications. …”
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Multi-task aquatic toxicity prediction model based on multi-level features fusion by Xin Yang, Jianqiang Sun, Bingyu Jin, Yuer Lu, Jinyan Cheng, Jiaju Jiang, Qi Zhao, Jianwei Shuai

“…Furthermore, to validate the advantages of multi-task learning, we independently construct prediction models, named ATFPGT-single, for each fish species. …”
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FadA antigen of Fusobacterium nucleatum: implications for ceRNA network in colorectal cancer and adenomatous polyps progression by Sama Rezasoltani, Elahe Shams, Moein Piroozkhah, Yaser Aidi, Mehdi Azizmohammad Looha, Parmida Bagheri, Roudabeh Behzadi Andouhjerdi, Amir Sadeghi, Leili Rejali, Ehsan Nazemalhosseini-Mojarad

“…Then, the ANXA2 ceRNA network was constructed. Subsequently, the mRNA, miRNA, and lncRNA expression levels were examined in intestinal biopsy specimens from 30 healthy controls, 30 Adenoma patients, and 30 cases of CRC stage I using qRT-PCR. …”
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Integrated bioinformatics analysis of the effects of chronic pain on patients with spinal cord injury by Jinlong Zhang, Jinlong Zhang, Longju Qi, Yuyu Sun, Yuyu Sun, Shiyuan Chen, Jinyi Liu, Jiaxi Chen, Fangsu Yan, Wenqi Wang, Qinghua Wang, Liang Chen

“…Additionally, we conducted an in-depth examination of immune infiltration in SCI to elucidate its correlation with chronic pain.ResultsAnalyzing 101 DEGs associated with SCI and chronic pain, we constructed a protein interaction network and identified 15 hub genes. …”
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Deep learning model based prediction of vehicle CO2 emissions with eXplainable AI integration for sustainable environment by Gazi Mohammad Imdadul Alam, Sharia Arfin Tanim, Sumit Kanti Sarker, Yutaka Watanobe, Rashedul Islam, M. F. Mridha, Kamruddin Nur

“…This study used deep learning techniques to construct a CO2 emission prediction model, specifically a light multilayer perceptron (MLP) architecture called CarbonMLP. …”
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High-altitude hypoxia aggravated neurological deficits in mice induced by traumatic brain injury via BACH1 mediating astrocytic ferroptosis by Peng Zou, Tianjing Li, Zixuan Cao, Erwan Yang, Mingdong Bao, Haofuzi Zhang, Zhuoyuan Zhang, Dan Liu, Min Zhang, Xiangyu Gao, Junmiao Ge, Xiaofan Jiang, Zhicheng Tian, Peng Luo

“…In order to deeply investigate this scientific issue, we constructed a high-altitude hypoxic TBI model at different altitudes and used animal behavioral assessments (Modified neurological severity score, rotarod test, elevated plus maze test) as well as histopathological analyses (brain gross specimens, brain water content, Evans blue content, hypoxia inducible factor-1α, Hematoxylin-Eosin staining and ROS detection) to reveal its underlying principles and characteristics. …”
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Aquaponics model can provide better productivity: Microorganisms affect the growth and health of tilapia by Dingyue Fan, Huimin Xu, Shunlong Meng, Limin Fan, Chao Song, Liping Qiu, Dandan Li, Longxiang Fang, Zhuping Liu, Xuwen Bing

“…In the present study, three aquaponics systems were established, and three same sized recirculating aquaculture systems (RAS) were constructed to act as controls. To evaluate bacterial community diversity and compositions across different microhabitats in the two systems, we used amplicon-based high-throughput sequencing technique targeting the 16S rRNA gene. …”
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Structural damage-driven brain compensation among near-centenarians and centenarians without dementia by Hui Tang, Haichao Zhao, Hao Liu, Jiyang Jiang, Nicole Kochan, Jing Jing, Henry Brodaty, Wei Wen, Perminder S. Sachdev, Tao Liu

“…We examined a cohort of near-centenarians and centenarians without dementia (aged 95-103 years, n=44). We constructed a structural disconnection matrix based on the disruption of white matter pathways caused by white matter hyperintensities (WMHs), aiming to explore the relationship between functional connections, cognitive preservation and white matter damage. …”
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Streptococcus halichoeri: Comparative Genomics of an Emerging Pathogen by Kirsi Aaltonen, Ravi Kant, Marjut Eklund, Mirja Raunio-Saarnisto, Lars Paulin, Olli Vapalahti, Thomas Grönthal, Merja Rantala, Tarja Sironen

“…A phylogenetic tree was constructed using the genes of the core genome. Virulence factors were assessed using the Virulence Factor Database (VFDB) concentrating on the previously confirmed streptococcal factors. …”
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Dual-stream disentangled model for microvascular extraction in five datasets from multiple OCTA instruments by Xiaoyang Hu, Xiaoyang Hu, Jinkui Hao, Quanyong Yi, Yitian Zhao, Jiong Zhang

“…By introducing vascular structure as a prior constraint and constructing auxiliary information, the network achieves disentangled representation learning, effectively minimizing the interference of noise and artifacts. …”
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Development of Virus-Like Particles (VLPs) for Hepatitis C Virus genotype 4: a novel approach for vaccine development in Egypt by Ahmed A. Ali, Rasha A. M. Azouz, Nahla A. Hussein, Reem El-Shenawy, Naiera M. Helmy, Yasmine S. El-Abd, Ashraf A. Tabll

“…Methods Lentiviral-based vectors were constructed and employed to integrate the full-length sequence of Core, E1, E2, and P7 genes of HCV genotype 4 into the genome of Human Embryonic Kidney cells (HEK293T). …”
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Prediction of Soil Organic Carbon Content in <italic>Spartina alterniflora</italic> by Using UAV Multispectral and LiDAR Data by Jiannan He, Yongbin Zhang, Mingyue Liu, Lin Chen, Weidong Man, Hua Fang, Xiang Li, Xuan Yin, Jianping Liang, Wenke Bai, Fuping Li

“…The results show that the following. 1) The prediction accuracy is improved by classifying the data into three types: unlodging <italic>S. alterniflora</italic> (ULSA), lodging <italic>S. alterniflora</italic> (LSA), and mudflats. 2) XGBoost outperformed RF and SVM in accurately predicting SOC content, with <italic>R</italic>²; values of 0.743 for ULSA, 0.731 for LSA, and 0.705 for mudflats; 3) In the XGBoost models constructed for ULSA, LSA, and mudflats, spectral features contributed 75.7&#x0025;, 73.1&#x0025;, and 63.1&#x0025;, respectively, with the normalized difference vegetation index emerging as the most critical spectral feature. …”
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