The miRNA‐mRNA Regulatory Network in Human Hepatocellular Carcinoma by Transcriptomic Analysis From GEO by Razieh Heidari, Vahideh Assadollahi, Seyedeh Negar Marashi, Fatemeh Elahian, Seyed Abbas Mirzaei

“…Aim In this study, we analyzed expression profile datasets and miRNA expression profiles related to HCC from the GEO using R software to detect differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs). …”
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Expression of LINC00847 in Peripheral Blood Mononuclear Cells of Children with Asthma and Its Prediction between Asthma Exacerbation and Remission by Jiaying Hu, Zhike Wang, Suzhen Han, Kai Chen

“…Microarray analysis was performed on GSE143192 and GSE165934 datasets to screen differentially expressed lncRNAs (DElncRNAs) in human PBMCs between asthma patients and normal controls. …”
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Integrating microplastic research in sustainable agriculture: Challenges and future directions for food production by Marcelo Illanes, María-Trinidad Toro, Mauricio Schoebitz, Nelson Zapata, Diego A. Moreno, María Dolores López-Belchí

“…Furthermore, machine learning algorithms can be employed to analyze complex datasets, enhancing our ability to predict the impacts of MPs on plant health and crop performance under different environmental conditions. …”
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Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan by Aayushi Tandon, Amit Awasthi, Kanhu Charan Pattnayak, Aditya Tandon, Tanupriya Choudhury, Ketan Kotecha

“…Results suggest, linear regression model demonstrates the best training and validation results, with a minimal difference of just 0.02 between the training and validation datasets. Performance of the model was assessed using Mean Squared Error, Root Mean Squared Error, Mean Absolute Error, and R-squared metrics. …”
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A sensitivity analysis of methodological variables associated with microbiome measurements by Samuel P. Forry, Stephanie L. Servetas, Jennifer N. Dootz, Monique E. Hunter, Jason G. Kralj, James J. Filliben, Scott A. Jackson

“…This investigation demonstrates a framework for quantitatively assessing methodological choices that could be routinely performed by individual laboratories to better understand their metagenomic sequencing workflows and to improve the scope of the datasets they produce.IMPORTANCEMethod-specific bias is a well-recognized challenge in metagenomic sequencing characterization of microbiome samples, but rigorous bias quantification is challenging. …”
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Multi-omics analysis reveals novel causal pathways in psoriasis pathogenesis by Hua Guo, Jinyang Gao, Liping Gong, Yanqing Wang

“…Methods We conducted SMR analyses integrating genome-wide association study (GWAS) summary statistics with methylation quantitative trait loci (mQTL), expression quantitative trait loci (eQTL), and protein quantitative trait loci (pQTL) data. Publicly available datasets were utilized, including psoriasis GWAS data from the European Molecular Biology Laboratory–European Bioinformatics Institute and the UK Biobank. …”
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Detection of Invasive Species (Siam Weed) Using Drone-Based Imaging and YOLO Deep Learning Model by Deepak Gautam, Zulfadli Mawardi, Louis Elliott, David Loewensteiner, Timothy Whiteside, Simon Brooks

“…Future research will focus on developing tools to merge duplicates, gather georeference data, and report detections from large image datasets more efficiently, providing valuable insights for practical applications in environmental management at the catchment scale.…”
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Evaluating the Impact of Data Transformation Techniques on the Performance and Interpretability of Software Defect Prediction Models by Yu Zhao, Zhiqiu Huang, Lina Gong, Yi Zhu, Qiao Yu, Yuxiang Gao

“…Through empirical research on (i) six classification techniques (random forest, decision tree, logistic regression, Naive Bayes, K-nearest neighbors, and multilayer perceptron), (ii) six performance evaluation indicators (Accuracy, Precision, Recall, F1, MCC, and AUC), (iii) two interpretable methods (permutation and SHAP), (iv) two feature importance measures (Top-k feature rank overlap and difference), and (v) three datasets (Promise, Relink, and AEEEM), our results show that the data transformation methods can significantly improve the performance of the SDP models and greatly affect the variation of the most important features. …”
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An integrated approach to flood risk assessment using multi-criteria decision analysis and geographic information system. A case study from a flood-prone region of Pakistan by Muhammad Ibrahim, Aidi Huo, Aidi Huo, Aidi Huo, Waheed Ullah, Safi Ullah, Zhao Xuantao

“…Further, the study used multiple datasets, including rainfall, stream density, and village points to map out flood susceptibility in the study region. …”
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Predicting the Progress of Tuberculosis by Inflammatory Response-Related Genes Based on Multiple Machine Learning Comprehensive Analysis by Shuai Ma, Peifei Peng, Zhihao Duan, Yifeng Fan, Xinzhi Li

“…Hence, it is imperative to develop advanced molecular tools for TB risk stratification. Methods. The TB datasets were downloaded from the GEO database. Three machine learning models, namely LASSO, RF, and SVM-RFE, were used to identify the key characteristic genes related to inflammation during the progression of LTBI to ATB. …”
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PLCG2 and IFNAR1: The Potential Biomarkers Mediated by Immune Infiltration and Osteoclast Differentiation of Ankylosing Spondylitis in the Peripheral Blood by Bo Han, Qiaobo Xie, Weishi Liang, Peng Yin, Xianjun Qu, Yong Hai

“…GSE25101 from the Gene Expression Omnibus was used to obtain AS-associated microarray datasets. We performed bioinformatics analysis using R software to validate different expression levels. …”
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Utility of Circadian Variability Patterns in Differentiating Origins of Premature Ventricular Complexes by Mu Chen, Qunshan Wang, Jian Sun, Peng-Pai Zhang, Wei Li, Rui Zhang, Bin-Feng Mo, Tai-Zhong Chen, Juyi Wan, Dong-Zhu Xu, Kazutaka Aonuma, Yi-Gang Li

“…We analyzed Holter recordings from patients with monomorphic PVCs who underwent catheter ablation. PVC circadian patterns were classified as fast-heart rate- (HR-) dependent (F-PVC), slow-HR-dependent (S-PVC), or HR-independent (I-PVC). …”
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Le bestiaire médiévaliste comme produit dérivé by Maud Pérez-Simon

“…Sur le plan marketing enfin, tout clos qu’il soit, le bestiaire est porteur de nombreuses promesses d’extension qui sont autant d’occasions d’achat pour les fans.…”
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Design and application of an endotracheal tube fixation belt (一种气管插管固定寸带的设计与应用) by WEI An (魏安), SUN Xiumei (孙秀梅), YUAN Guowei (袁国伟), JI Ya (纪亚)

“…Unplanned tracheal extubation is one of the common and serious complications in patients with mechanical ventilation, and improper catheter fixation is an independent risk factor leading to unplanned extubation. …”
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Kształtowanie konkurencyjności regionu – nowego atrybutu przestrzeni gospodarczej Unii Europejskiej w świetle uwarunkowań polityki innowacyjnej perspektywy finansowej UE dla Polski... by Bożena Grad

“….: systemu instytucji, umiejętności i zachęt (podatkowych, kredytowych i in.), służących do: - wprowadzania innowacji, zwiększających konkurencyjność gospodarki i polepszających jakość życia społeczeństwa, - jednoczesnego przekształcania systemu badawczo-rozwojowego ze skierowanego do wewnątrz, na zorientowany na potrzeby kraju oraz gospodarki opartej na wiedzy, - zwiększania wzajemnych powiązań między nauką, techniką, rynkiem, administracją państwową i terytorialną, organizacjami pozarządowymi, edukacją. …”
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The Impact of ERAS and Multidisciplinary Teams on Perioperative Management in Colorectal Cancer by Qianqian Zhang, Qinfeng Sun, Junfeng Li, Xing Fu, Yuhuan Wu, Jiawei Zhang, Xia Jin

“…Results Patients in the ERAS group demonstrated significantly shorter hospital stays, quicker catheter removal, and earlier mobilization compared to the control group (P < 0.0001 for all). …”
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Cutaneous Mucormycosis Co-infection in a Patient with COVID-19 by Raham Rahgoshai, Peter Goldberg, Rayhaneh Rahgoshai, Shadi Zain

“…During their course in the intensive care unit (ICU), they developed a right thigh haematoma, thought to be related to the previous insertion of a femoral arterial pressure monitoring catheter. Several days before the patient’s death, the wound noted to be covered by a brown-black eschar was cultured on April 30 and returned positive for Rhizopus oryzae and Staphylococcus epidermidis on May 5. …”
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Early discharge and international air transport of a traveler with exacerbating comorbidities and pneumomediastinum: a case report by Miho Akimoto, Soichiro Saeki, Yuki Kiyomoto, Hirosane Takeshima, Naofumi Higuchi, Takako Mori, Yasuyo Osanai, Chihaya Hinohara, Takeshi Inagaki

“…Abstract Background Air transport for medically complex patients presents unique challenges, particularly without specific guidelines for conditions such as pneumomediastinum or medical devices like peripherally inserted central catheters (PICC lines). Although organizations such as the Aerospace Medical Association (AsMA) and the International Air Transport Association (IATA) provide general recommendations for medical air travel, these guidelines often lack the precision required to address such complex clinical scenarios. …”
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Artery of Percheron Infarction: A Case Report of Bilateral Thalamic Stroke Presenting with Acute Encephalopathy by Charles Donohoe, Nooshin Kiani Nia, Patricia Carey, Vamsi Vemulapalli

“…AOP infarction may be missed on vascular imaging utilizing CT, MRI, and even catheter angiography. Clinical recognition that the AOP is one of the only single artery occlusions that can affect bilateral structures and frequently present solely as altered mental status without focal neurologic deficits is crucial to the diagnosis.…”
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Factors Contributing to Massive Blood Loss on Peripartum Hysterectomy for Abnormally Invasive Placenta: Who Bleeds More? by Hironori Takahashi, Akihide Ohkuchi, Rie Usui, Hirotada Suzuki, Yosuke Baba, Shigeki Matsubara

“…Patients with intra-arterial balloon catheter insertion bled less on AIP-hysterectomy. Massive bleeding occurred in emergent AIP-hysterectomy without prior CS.…”
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