Analyzing road traffic accidents through identification and prioritization of accident-prone areas on the dembecha to injibara highway segment in amhara region, ethiopia by Gedefaye Geremew

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Identification of Common Hub Genes in COVID-19 and Comorbidities: Insights into Shared Molecular Pathways and Disease Severity by Suresh Kumar, Jia-Jin Wee, K. J. Senthil Kumar

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Identification of lurasidone as a potent inhibitor of severe fever with thrombocytopenia syndrome virus by targeting the viral nucleoprotein by Ting Cheng, Qingcui Xiao, Jing Cui, Shuangjie Dong, Yuqin Wu, Wenqiang Li, Xinya Yang, Lina Ma, Zhiyong Li, Zhiyong Li, Zhiyong Li, Peng Sun, Peng Sun, Peng Sun, Yinli Xie, Yinli Xie

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Identification of CXCL9 chemokine as a potential biomarker for assessing clinical severity in COVID-19 patients by Nargiz Ibadullaeva, Aziza Khikmatullaeva, Ulugbek Mirzaev, Nataliya Kan, Marina Bobkova, Erkin Musabaev

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Identification of hub genes between moderate to severe asthma and early lung adenocarcinoma through bioinformatics analysis by Jiaqian Xue, Qingwei Zhou

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Identification of Gastrointestinal Parasite in Hospitalized Cats at Several Animal Clinics in Surabaya Using Faecal Examination Method by Luthfiyyah Nur Afifah Siswandi, Agus Sunarso, Iwan Sahrial Hamid, Mufasirin, Nusdianto Triakoso

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Comparison of Universal mtDNA Primers in Species Identification of Animals in a Sample with Severely Degraded DNA by Aleksandra Figura, Magdalena Gryzinska, Andrzej Jakubczak

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Identification of Potential Drug Targets for the Treatment of Severe Burn Wounds from a Multi-Omics Perspective by Zhu G, Li J, Xu J, Guo G, Zhu F

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Neutrophil-to-lymphocyte ratio as a biomarker for asthma identification and severity stratification: a systematic review and meta-analysis by Lei Jin, Jie Guo, Keting Deng, Yang Yao

“…BackgroundReliable biomarkers for asthma identification and severity stratification remain lacking. …”
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Hyperspectral Imaging Study of Wheat Grains Infected with Several Fusarium Fungal Species and Their Identification with PCA-Based Approach by Anastasia Povolotckaia, Dmitrii Pankin, Mikhail Gareev, Dmitrii Serebrjakov, Anatoliy Gulyaev, Evgenii Borisov, Andrey Boyko, Sergey Borzenko, Sergey Belousov, Oleg Noy, Maxim Moskovskiy

“…In this regard, this work is devoted to the possibility of the rapid differentiation between healthy grains and grains simultaneously infected with several species of <i>Fusarium</i> genus fungi (<i>Fusarium graminearum</i> Schwabe FG-30, <i>Fusarium poae</i> Kr-20-14, <i>Fusarium roseum</i> (<i>sambucinum</i>) St-20-3) for practical reasons. …”
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Identification of potential dam sites for severe water crisis management in semi-arid fluoride contaminated region, India by Arijit Ghosh, Biswajit Bera

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Clinical characteristics and early identification of augmented renal clearance in PICU patients with severe sepsis associated with MRSA infection by Haonan Wang, Jiaqing Li, Xian Li, Han Li, Yinglang He, Rui Tan, Xuejian Mei, Haoyu Zha, Mingxing Fan, Shuangshuang Peng, Nan Hou, Zhe Li, Yue Wang, Chen Ji, Yao Liu, Hongjun Miao

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Identification and validation of a novel machine learning model for predicting severe pelvic endometriosis: A retrospective study by Siqi Cao, Xingzhe Li, Xin Zheng, Jiaxin Zhang, Ziyao Ji, Yanjun Liu

“…This study provided a personalized risk assessment for the development of severe endometriosis, which may enable early identification of high-risk patients, facilitating timely intervention and optimized treatment strategies.…”
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The epidemiology and identification of risk factors associated with severe dengue during the 2023 dengue outbreak in Kaohsiung City, Taiwan by Li-Teh Liu, Shi-Ya Huang, Chen-Hsuan Lin, Chun-Hong Chen, Ching-Yi Tsai, Ping-Chang Lin, Jih-Jin Tsai

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A lightweight multi-deep learning framework for accurate diabetic retinopathy detection and multi-level severity identification by Amad Zafar, Kwang Su Kim, Muhammad Umair Ali, Jong Hyuk Byun, Jong Hyuk Byun, Seong-Han Kim

“…The proposed two-stage framework enhances the classification performance, achieving a 99.06% classification rate for DR detection and an accuracy of 90.75% for DR severity identification for APTOS 2019 dataset.…”
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Identification of mitophagy-related biomarkers in severe acute pancreatitis: integration of WGCNA, machine learning algorithms and scRNA-seq by Xiaozhou Xie, Xiaozhou Xie, Zheng Wang, Zheng Wang, Haoyu Zhang, Haoyu Zhang, Jiongdi Lu, Jiongdi Lu, Feng Cao, Feng Cao, Fei Li, Fei Li

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Identification and Assessment of Resistance to <i>Fusarium</i> Head Blight and Mycotoxin Accumulation Among 99 Wheat Varieties by Chen Huang, Dezhou Cui, Yongbo Li, Yamei Zhuang, Xinxia Sui, Qingqi Fan

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Identification of novel MYO19 variants in neonatal hypertrophic cardiomyopathy: a familial analysis revealing oligogenic contributors to disease severity by Hye-Won Cho, Hyeseon Kim, Jeong-Min Kim, Dong Mun Shin, Oc-Hee Kim, Misun Yang, Heui Seung Jo, Mi-Ae Jang, Ja-Hyun Jang, Hyun-Young Park, Yun Sil Chang, Mi-Hyun Park

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Identification of a splice site mutation in IL2RG in a Chinese boy with X-linked severe combined immunodeficiency by Feng Ding, He Zhang, Xiangxiang Liu, Lin Lei, Hongyi Zhang, Zhichao Liu, Mutong Fang, Shuihua Lu

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A retrospective analysis comparing metagenomic next-generation sequencing with conventional microbiology testing for the identification of pathogens in patients with severe infections by Fei Hou, Fei Hou, Yanting Qiao, Yuanyuan Qiao, Ya Shi, Mingrui Chen, Min Kong, Min Kong, Xiaohang Hu, Liqing Jiang, Xiaowei Liu

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