Identifying propionate metabolism-related genes as biomarkers of sepsis development and therapeutic targets by Lechen Yang, Weifeng Shang, Dongjie Chen, Hang Qian, Sheng Zhang, Xiaojun Pan, Sisi Huang, Jiao Liu, Dechang Chen

“…The DoRothEA regulator algorithm showed TFs such as IRF4, ARID3A, FOXO4, and ATF2 were activated in high propionate metabolism subgroups, whereas NR5A1, BCL6, and CDX2 were activated in low subgroups. …”
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Common diagnostic biomarkers and molecular mechanisms of Helicobacter pylori infection and inflammatory bowel disease by Minglin Zhang, Tong Liu, Lijun Luo, Yi Zhang, Qijiao Chen, Fen Wang, Yuxin Xie

“…BackgroundHelicobacter pylori (H. pylori) may be present in the intestinal mucosa of patients with inflammatory bowel disease (IBD), which is a chronic inflammation of the gastrointestinal tract. The role of H. pylori in the pathogenesis of IBD remains unclear. …”
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Bayesian Analysis Enhances Sales and Warranty Strategies for Repairable Industrial Products by Considering Hybrid Deterioration Modes by Chih-Chiang Fang, Liping Ma, Wenfeng Kuo

“…An effective warranty policy not only fulfills a manufacturer’s or vendor’s obligations but also plays a crucial role in enhancing customer confidence and encouraging future purchases. …”
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Memory consolidation from a reinforcement learning perspective by Jong Won Lee, Min Whan Jung, Min Whan Jung

“…It is widely accepted that new experiences are initially stored in the hippocampus as rapid associative memories, which then undergo a consolidation process to establish more permanent traces in other regions of the brain. …”
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DeepDTAGen: a multitask deep learning framework for drug-target affinity prediction and target-aware drugs generation by Pir Masoom Shah, Huimin Zhu, Zhangli Lu, Kaili Wang, Jing Tang, Min Li

“…In addition, we developed the FetterGrad algorithm to address the optimization challenges associated with multitask learning particularly those caused by gradient conflicts between distinct tasks. …”
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LncRNAs regulates cell death in osteosarcoma by Ping’an Zou, Zhiwei Tao, Zhengxu Yang, Tao Xiong, Zhi Deng, Qincan Chen, Li Niu

“…Univariate Cox regression analysis was employed to identify lncRNAs associated with osteosarcoma treatment. Three machine learning algorithms—Support Vector Machine, Random Forest, and Generalized Linear Model—were utilized to select feature genes. …”
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Detoxification Therapy in Critical States of Toxic Etiology by Ye. A. Luzhnikov, Yu. S. Goldfarb

“…Complex detoxification should include efferent methods (hemosorption, hemo- and peritoneal dialysis and intestinal lavage, as well as physiohemotherapy (magnetic, laser, and ultraviolet) and chemohemotherapy with sodium hypochlorite) and should be composed of 2 basic stages: 1) to reduce for a short space of time (1—2 h) the blood poison level to the life-safe one (below the lethal or critical one) that promotes elimination of severe hemostatic disorders, wherein the leading role is played by efferent methods and chemohemotherapy and 2) to terminate a detoxifying process within 1—2 days, which is predominantly associated with the effect of physiohemotherapy as a potent stimulant of natural detoxification and which is achieved just via further stabilization of homeostatic disorders. …”
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Seismic resilience optimization of urban transportation network during emergency medical response: A case study in Tehran metropolis by Yaser Hosseini, Reza Karami Mohammadi

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Artificial intelligence in academic research: Benefits, challenges, and ethical dimensions in doctoral studies by Zaki EL HANI, Jaouad KARROUM, Abdelmajid ELOUADI, Aniss MOUMEN

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Factors Influencing Misinformation Propagation: A Systemic Review by HAN Xi, LIAO Ke

“…The results show that individual characteristics play a critical role in shaping users' intention and behavior to propagate misinformation. …”
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An immunotherapy guide constructed by cGAS-STING signature for breast cancer and the biofunction validation of the pivotal gene HOXC13 via in vitro experiments by Zhenling Dai, Ziqun Gu, Rongrong Shen, Jingshuai Wang

“…Notably, this 11-gene signature also predicted the sensitivity of breast cancer to both conventional and immune therapies, aligning closely with predictions from the OncoPredict algorithm. Further, in-vitro experiments confirmed the regulatory role of HOXC13, one of the 11 genes, in the cGAS-STING pathway. …”
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“Can computed tomographic angiography” solve the puzzle of complexities in the pediatric complex congenital heart disease’s by Javaid Iqbal, Sheikh Riaz Rasool, Tariq Ahmad Gojwari, Naseer Ahmad Choh, Moonisah Rafiq

“…The purpose of the study was to ascertain the role of Cardiac CTA in unraveling these twists and turns, and to know whether additional radiation dose is justified in the evaluation of associated extracardiac systemic anomalies. …”
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Identifying the important involvement of cuproptosis in the pathophysiology of age-related macular degeneration by Shizhen Lei, Yani Liu

“…Abstract Background Age-related macular degeneration (AMD) is a neurodegenerative disease associated with severe visual impairment in the elders. …”
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Detection and Spatiotemporal Distribution Analysis of Vertically Developing Convective Clouds over the Tibetan Plateau and East Asia Using GEO-KOMPSAT-2A Observations by Haokai Kang, Hongqing Wang, Qiong Wu, Yan Zhang

“…Specifically, VDCC diurnal peaks preceded precipitation by 2–3 h, confirming their precursor roles in both study regions. Regional comparisons revealed that topographic and thermal forcing strongly influenced VDCC distribution patterns. …”
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A novel lactylation-related gene signature to predict prognosis and treatment response in lung adenocarcinoma by Hongyi Zhang, Hongyi Zhang, Yihao Liu, Xuanguang Li, Chen Ding, Chunqiu Xia, Hua Huang, Hongyu Liu, Jun Chen, Jun Chen

“…BackgroundLactylation, a novel post-translational modification, has emerged as a critical regulatory mechanism in various biological processes, including tumor progression. However, its role and associated gene signatures in lung adenocarcinoma (LUAD) remain unclear.MethodsRNA sequencing data of LUAD patients were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. …”
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AI driven cardiovascular risk prediction using NLP and Large Language Models for personalized medicine in athletes by Ang Li, Yunxin Wang, Hongxu Chen

“…Furthermore, the research underscores the role of LLMs in personalized medicine, identifying patient-specific risk factors and optimizing treatment pathways for cardiac patients. …”
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Identifying Macrophage-Related Genes in Ulcerative Colitis Using Weighted Coexpression Network Analysis and Machine Learning by Shaocheng Hong, Hongqian Wang, Shixin Chan, Jiayi Zhang, Bangjie Chen, Xiaohan Ma, Xi Chen

“…Innate intestinal immunity, including macrophages, plays a significant role in the pathological development of UC. Using the CIBERSORT algorithm, we observed elevated levels of 22 types of immune cell infiltrates, as well as increased M1 and decreased M2 macrophages in UC compared to normal colonic mucosa. …”
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Feasibility of estimating the percentage of desert pavement using Tasseled Cap Transformation indices extracted from Landsat 8 images by farzaneh Fotouhi Firoozabad, Atefeh jebali

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OSBPL3 modulates the immunosuppressive microenvironment and predicts therapeutic outcomes in pancreatic cancer by Qihui Sun, Xiaoqi Zhu, Qi Zou, Yang Chen, Tingting Wen, Tingting Jiang, Xiaojia Li, Fang Wei, Keping Xie, Jia Liu

“…Methods We constructed a prognostic and risk assessment model for pancreatic cancer using 101 machine learning algorithms, identifying OSBPL3 as a key gene associated with disease progression and prognosis. …”
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Acoustic Emission and Digital Image Correlation-Based Study for Early Damage Identification in Sandwich Structures by Aitor García de la Yedra, Igor Erro, Javier Vivas, Oier Zubiri, Xabier Zurutuza, Ryan Sommerhuber, Matthias Kettner

“…The Acoustic Emission (AE) technique utilizes membrane-free microphones with a broad bandwidth to capture acoustic events from difficult-to-access areas. A machine learning algorithm is used to classify these events to determine their source and associated damage mechanisms. …”
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