Microalgal Metabolomes and Recent Biotechnological Advances for Their Industrial Application by Dinesh Kumar Saini, Geetanjali Manchanda, Ratiram Gomaji Chaudhary, Raghvendra Pratap Singh

“…In recent decades, microalgae have emerged as new sustainable resources for the production of various bioactive and biochemical compounds. …”
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Identification of Keystone Plant Species for Avian Foraging and Nesting in Beijing’s Forest Ecosystems: Implications for Urban Forest Bird Conservation by Lele Lin, Yongjian Zhao, Chao Yuan, Yushu Zhang, Siyu Qiu, Jixin Cao

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Generation of Cas9 Knock-In <i>Culex quinquefasciatus</i> Mosquito Cells by Elizabeth Walsh, Tran Zen B. Torres, Brian C. Prince, Claudia Rückert

“…In comparison to the RNAi-mediated gene silencing of <i>dicer-2</i>, <i>argonaute-2b</i>, and <i>piwi5</i>, our Cas9/sgRNA approach showed an enhanced ability to detect antiviral effects. <b>Conclusions</b>: We propose that this cell line offers a new tool for studying gene function in <i>Cx. quinquefasciatus</i> mosquitoes that avoids the use of RNAi. …”
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Integrated assessment of soil quality and contaminant risks in salinized farmland adjacent to an oil-exploitation zone: insights from the Yellow River Delta by Xiaofan Xie, Jijin Cai, Xiaosong Yang, Hui Qiu, Yuexian Liu, Yuanxun Zhang

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A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

“…A progressive brain disease that affects memory and cognitive function is Alzheimer’s disease (AD). To put therapies in place that potentially slow the progression of AD, early diagnosis and detection are essential. …”
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Responsive cellulose nanocrystal‐based liquid crystals: From structural color manipulation to applications by Jiao Liu, Ye‐Ming Qing, Jun‐Jie Wu, Jing‐Qi Tian, Chi‐Bo Feng, Xin‐Yu Zhou, Yun Ma, Bing‐Xiang Li, Yan‐Qing Lu, Quan Li

“…Furthermore, the applications of cellulose‐based LCs for gas detection, anticounterfeiting, multicolor separation, multifunctional E‐skin, and advanced fabrics are also reviewed. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

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Comprehensive analysis of the NAC transcription factor gene family in Sophora tonkinensis Gagnep by Ximei Liang, Shuangshuang Qin, Guili Wei, Xiaoyun Guo, Shugen Wei, Fan Wei, Ying Liang

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Transcriptome analysis reveals the mechanism of Rhodiola polysaccharide affecting the proliferation of porcine Leydig cells under hypoxia by Jinting Luo, Lei Wang, Youli Yao, Xuan Luo, Jianbo Zhang, Dandan Luo, Tian Tian, Guofang Wu

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An Efficient In Vitro Regeneration Protocol and the Feature of Root Induction with Phloroglucinol in <i>Paeonia ostii</i> by Keyuan Zheng, Luming Yao, Yumei Xie, Shuiyan Yu, Yonghong Hu, Mulan Zhu

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CLASSIFYING LIVER DISEASE WITH BOOSTING MACHINE LEARNING APPROACHES by Erol Özçekiç, Ümit Yılmaz

“…Liver diseases pose a significant global health challenge due to their impact on metabolic function and the difficulty of early detection. Traditional diagnostic methods such as liver biopsy have limitations due to their invasive nature and high costs. …”
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Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests by Marissa H. Chase, Alexandra Harmon‐Threatt, Samuel F. Stickley, Brian Charles, Jennifer M. Fraterrigo

“…We investigated whether structural metrics derived from light detection and ranging (LiDAR) data could predict bee diversity and abundance, as well as bee functional trait composition within managed and unmanaged forests in the central hardwood region in southern Illinois, United States of America. …”
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Leaf carbon nitrogen and phosphorus concentrations in dominant trees across China’s forests from 2005 to 2020 by Chenxi Li, Honglin He, Xiaoli Ren, Qian Xu, Shiyu Dong, Zining Lin, Luxiang Lin, Zexin Fan, Yongbiao Lin, Juxiu Liu, Qingkui Wang, Anzhi Wang, Ruiying Chang, Zongqiang Xie, Lingli Liu, Fusun Shi

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Evaluation of allergenic protein profiles in three Chinese high-oleic acid peanut cultivars using NanoLC-Orbitrap mass spectrometry by Xinke Yang, Haochen Bai, Lijun Yin, Jin Wang, Wentong Xue, Xin Jia

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Investigation on taxonomy, secondary metabolites and antibacterial activity of Streptomyces sediminicola sp. nov., a novel marine sediment-derived Actinobacteria by Kun Zhang, Wenping Ding, Chenghui Han, Lijuan Long, Hao Yin, Jianping Yin

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In vitro gastrin-releasing peptide response in chicken ovarian follicles by Chunheng Mo, Can Lv, Guoqiang Zhu, Jiannan Zhang, Yuanyou Li, Yajun Wang, Juan Li

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Multimodal AI and Large Language Models for Orthopantomography Radiology Report Generation and Q&A by Chirath Dasanayaka, Kanishka Dandeniya, Maheshi B. Dissanayake, Chandira Gunasena, Ruwan Jayasinghe

“…In addition, the proposed solution includes a question-answering platform in the native Sinhala language, alongside the English language, designed to function as a chatbot for dental-related queries. We hope that this platform will eventually bridge the gap between dental services and patients, created due to a lack of human resources. …”
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Multifaceted roles of Galectins: from carbohydrate binding to targeted cancer therapy by Nan Zhang, Qiao Liu, Daihan Wang, Xiaoyun Wang, Zhaoping Pan, Bo Han, Gu He

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Research on lightweight weed recognition algorithm based on improved YOLOv8 by Zhang Chao, Liu Bin, Li Kun

“…Different scale features are used to improve the performance of target detection. Finally, the MPDIoU loss function is replaced to enhance the convergence and stability of the model. …”
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Epidemic preparedness and response capacity against infectious disease outbreaks in 186 countries, 2018–2022 by Paul Eze, Judith Chidumebi Idemili, Friday Onwubiko Nwoko, Nigel James, Lucky Osaheni Lawani

“…From the 2022 submissions, 116 (62%) countries reported functional (Level 4 or 5) prevention capacity, 162 (87%) had functional detection capacity, 118 (63%) had functional response capacity, 121 (65%) had functional enabling resources and coordination capacity, and 133 (72%) had functional operational readiness against public health events. …”
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