Showing 1,401 - 1,420 results of 1,441 for search '(source OR sources) utilization (functions OR function)', query time: 0.20s Refine Results
  1. 1401

    Unraveling the impact of blood RANKL and OPG levels on Alzheimer's disease: Independent of bone mineral density and inflammation by Xingzhi Guo, Wenzhi Shi, Juanjuan Lu, Peng Tang, Rui Li

    Published 2025-01-01
    “…Three distinct AD genome‐wide association study (GWAS) data sets from the International Genomics of Alzheimer's Project (IGAP), UK Biobank (UKB), and FinnGen were utilized. Summary‐level data on blood sRANKL and OPG were sourced from deCODE Genetics. …”
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  2. 1402

    Flow-based Text Style Transfer Model by Zihan ZHANG, Jinqiao DAI, Pin YANG

    Published 2025-01-01
    “…In addition, a pre-trained discriminator is employed in the model training process to compare reconstructed stylized <inline-formula><tex-math id="M33-1">$ {\boldsymbol{z}}_{\mathrm{b}}^{\mathrm{*}} $</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M33-1.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M33-1.png"/></alternatives></inline-formula> with its original content source <inline-formula><tex-math id="M34-1">$ {\boldsymbol{z}}_{\mathrm{a}} $</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M34-1.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M34-1.png"/></alternatives></inline-formula> The results are utilized to optimize the decoder. …”
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  3. 1403

    iMeta Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health by Yao Wang, Huiyu Hou, Hao Luo, Jiani Xun, Chuang Ma, Haifei Yang, Defeng Bai, Salsabeel Yousuf, Hujie Lyu, Tianyuan Zhang, Xiulin Wan, Xiaofang Yao, Tengfei Ma, Yuanping Zhou, Zhihao Zhu, Meiyin Zeng, Sanqi An, Qing Bai, Yao Bai, Guodong Cao, Tingting Cao, Yongkai Cao, Chihmin Chang, Lijia Chang, Bo Chen, Dai Chen, Dijun Chen, Hanqing Chen, Jiali Chen, Jinfeng Chen, Wei‐Hua Chen, Xinhai Chen, Yue Chen, Zhangran Chen, Cheng Cheng, Quan Cheng, Xi‐Jian Dai, Chaowen Deng, Feilong Deng, Jingwen Deng, Chang‐Sheng Dong, Lei Dong, Lianhui Duan, Yi Duan, Qingjie Fan, Chao Fang, Tingyu Fang, Wensheng Fang, Zhencheng Fang, Min Fu, Minjie Fu, Cong Gao, Hao Gao, Weiwei Gao, Xinrui Gao, Yi‐Zhou Gao, Yan Geng, Wenping Gong, Shaohua Gu, Xia Gu, Zhengquan Gu, Jian‐Wei Guo, Junjie Guo, Qiuyan Guo, Xiang Guo, Xiaoqian Guo, Dongfei Han, Ziyi Han, Yanan Hao, Jiale He, Jianquan He, Jianyu He, Ruolin He, Guosen Hou, Bin Hu, Haibo Hu, Yi Hu, Yongfei Hu, Yucan Hu, Guanyin Huang, Haiyun Huang, Jiaomei Huang, Shenghui Huang, Baolei Jia, Xingxing Jian, Chao Jiang, Kun Jiang, Lanyan Jiang, Shuaiming Jiang, Jian‐Yu Jiao, Hao Jin, Jiajia Jin, Siyuan Kong, Xinxing Lai, Yuxin Leng, Bang Li, Bing Li, Fang Li, Hao Li, Huanjie Li, Jing Li, Kai Li, Lanqi Li, Leyuan Li, Minghan Li, Pengsong Li, Wei Li, Wei Li, Xianyu Li, Li Xuemeng, Yafei Li, Yuantao Li, Zhi Li, Liqin Liang, Rong Liang, Zhuobin Liang, Qingya Liu, Dejian Liu, Huiheng Liu, Jinchao Liu, Li Liu, Lihui Liu, Moyang Liu, Ran Liu, Shuai Liu, Tianyang Liu, Wei Liu, Wenjuan Liu, Xiaomin Liu, Yang Liu, Yichen Liu, Yina Liu, Yuan Liu, Zhe Liu, Zhipeng Liu, Zhiquan Liu, Chunhao Long, Yun Long, Changying Lu, Chao Lu, Cheng Lu, Qi Lu, Yaning Luan, Peng Luo, Sheng Luo, Ning Ma, Xiao‐Ya Ma, Yan Ma, Wenjun Mao, Yuanfa Meng, Yan Ni, Yawen Ni, Kang Ning, Dongze Niu, Kai Peng, Zhengwu Peng, Xubo Qian, Zhiguang Qiu, Hui Qu, Zepeng Qu, Yan Ren, Zhigang Ren, Youming Shen, Lin Shi, Linlin Shi, Wenxuan Shi, Yongpeng Shi, Tianyuan Song, Xiaohui Song, Xiaoming Song, Xiaowei Song, Qi Su, Yufan Su, Lifang Sun, Qiang Sun, Tiefeng Sun, Yunke Sun, Hua Tang, Wenjing Tang, Tao Yu, Simon Tian, Shuo Wang, Bowen Wang, Cheng Wang, Wang Jin, Leli Wang, Liangliang Wang, Lixiao Wang, Mingbang Wang, Ming‐Ke Wang, Pingyi Wang, Shaolin Wang, Shaopu Wang, Xinxia Wang, Xueqiang Wang, Mi Wei, Yan Wei, Yanxia Wei, Yongjun Wei, Chaoliang Wen, Xin Wen, Linkun Wu, Shengru Wu, Yuting Wu, Shuting Xia, Xiaodong Xia, Yu Xia, Xionggen Xiang, Chuanxing Xiao, Weihua Xiao, Yingping Xiao, Ruohan Xie, Rui Xing, Hui Xu, Wei Xu, Zhimin Xu, Hongliang Xue, Chao Yan, Qiu‐Long Yan, Shaofei Yan, Xiuchuan Yan, Mengli Yang, Yufan Yang, Zhipeng Yang, Ziyuan Yang, Guixiang Yao, Yanlai Yao, Xianfu Yi, Chong Yin, Mingliang Yin, Shicheng Yu, Ying Yu, Yongyao Yu, Fusong Yuan, Shao‐Lun Zhai, Bo Zhang, Chen Zhang, Fang Zhang, Feng‐Li Zhang, Hengguo Zhang, Jinping Zhang, Junya Zhang, Kun Zhang, Li Zhang, Lin Zhang, Lingxuan Zhang, Meng Zhang, Qian Zhang, Runan Zhang, Tongtong Zhang, Tongxue Zhang, Weipeng Zhang, Yong Zhang, Yuchao Zhang, Yujun Zhang, Zeng Zhang, Zhengxiao Zhang, Zhi‐Feng Zhang, Boxi Zhao, Yanyan Zhao, Yibing Zhao, Ziwei Zhao, Diwei Zheng, Ying Zheng, Wenqiang Zhi, Jixin Zhong, Xiangjian Zhong, Wei Zhou, Xin Zhou, Zhemin Zhou, Zhichao Zhou, Congmin Zhu, Feiying Zhu, Xiaodie Zhu, Yutian Zou, Hongling Zhou, Lei Lei, Yanliang Bi, Hubing Shi, Hui‐Zeng Sun, Shuangxia Jin, Wenkai Ren, Lei Dai, Xin Wang, Canhui Lan, Hongwei Liu, Shuang‐Jiang Liu, Yulong Yin, Chun‐Lin Shi, Ren‐You Gan, Fangqing Zhao, Jun Yu, Tong Chen, Xin Hong, Hua Yang, Bangzhou Zhang, Shifu Chen, Xiaodong Li, Yunyun Gao, Yong‐Xin Liu

    Published 2024-12-01
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  4. 1404

    The responses of vegetation water use efficiency to biomass density and CO2 balance in dryland of Central Asia during 21st century by Alphonse Kayiranga, Xi Chen, Xuexi Ma, Dative Ingabire, Tie Liu, Yaoming Li, Emeka Edwin Igboeli, Eldiiar Duulatov, Hubert Hirwa, Clement Nzabanita, Ping Hu

    Published 2025-02-01
    “…Water-use efficiency (WUE) is a critical component that links plant carbon (CO2) and water cycles through various aspects of plant ecosystem functioning. However, the variations of plant CO2 in response to water use efficiency (WUE) across temperate dryland ecosystems remains inadequately understood. …”
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  5. 1405

    Assessment of Biodegradation Mechanisms of Ceftiofur Sodium by <i>Escherichia</i> sp. CS-1 and Insights from Transcriptomic Analysis by Meng-Yang Yan, Cai-Hong Zhao, Jie Wu, Adil Mohammad, Yi-Tao Li, Liang-Bo Liu, Yi-Bo Cao, Xing-Mei Deng, Jia Guo, Hui Zhang, Hong-Su He, Zhi-Hua Sun

    Published 2025-06-01
    “…In this study, we isolated a strain of <i>Escherichia coli</i>, designated <i>E. coli</i> CS-1, a Gram-negative, rod-shaped bacterium capable of utilizing CFS as its sole carbon source, from fecal samples collected from hog farms. …”
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  6. 1406

    Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM) by P. Saemian, O. Elmi, M. Stroud, R. Riggs, B. M. Kitambo, F. Papa, G. H. Allen, M. J. Tourian

    Published 2025-05-01
    “…These water level time series are sourced from both existing Level-3 water level time series and newly generated ones within this study. …”
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  7. 1407

    Integrated Genome-Wide Analysis of Gene Expression and DNA Copy Number Variations Highlights Stem Cell-Related Pathways in Small Cell Esophageal Carcinoma by Di Liu, Xinyan Xu, Junmiao Wen, Liyi Xie, Junhua Zhang, Yuxin Shen, Guoliang Jiang, Jiayan Chen, Min Fan

    Published 2018-01-01
    “…Gene enrichments in addition to functional annotation and gene interaction networks were performed using DAVID 6.8 and STRING 10.0, respectively. …”
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  8. 1408

    Pancreatic β-cells package double C2-like domain beta protein into extracellular vesicles via tandem C2 domains by Diana Esparza, Carinna Lima, Sarah Abuelreich, Ima Ghaeli, Jinhee Hwang, Eunjin Oh, Ayelet Lenz, Angel Gu, Nan Jiang, Fouad Kandeel, Debbie C. Thurmond, Tijana Jovanovic-Talisman

    Published 2024-10-01
    “…Moreover, in rat clonal β-cells, we probed domains required for DOC2B sorting into EVs.MethodUsing Single Extracellular VEsicle Nanoscopy, we quantified EVs derived from clonal β-cells (human EndoC-βH1, rat INS-1 832/13, and mouse MIN6); two other cell types known to regulate glucose homeostasis and functionally utilize DOC2B (skeletal muscle rat myotube L6-GLUT4myc and human neuronal-like SH-SY5Y cells); and human islets sourced from individuals with no diabetes (ND). …”
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  9. 1409

    Integrated single-cell analysis reveals the regulatory network of disulfidptosis-related lncRNAs in bladder cancer: constructing a prognostic model and predicting treatment respons... by Jiafu Xiao, Jiafu Xiao, Jiafu Xiao, Wuhao Liu, Wuhao Liu, Wuhao Liu, Jianxin Gong, Jianxin Gong, Jianxin Gong, Weifeng Lai, Weifeng Lai, Weifeng Lai, Neng Luo, Neng Luo, Neng Luo, Yingfan He, Junrong Zou, Junrong Zou, Zhihua He, Zhihua He, Zhihua He

    Published 2025-03-01
    “…This study aims to investigate disulfidptosis-related lncRNAs (DRLs) as potential prognostic markers for BLCA patients.MethodsUtilizing single-cell sequencing data, RNA sequencing data, and corresponding clinical information sourced from the GEO and TCGA databases, this study conducted cell annotation and intercellular communication analyses to identify differentially expressed disulfide death-related genes (DRGs). …”
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  10. 1410

    Establishing the best step-up treatments for children with uncontrolled asthma despite inhaled corticosteroids: the EINSTEIN systematic review, network meta-analysis and cost-effec... by Sofia Cividini, Ian Sinha, Giovanna Culeddu, Sarah Donegan, Michelle Maden, Katie Rose, Olivia Fulton, Dyfrig Hughes, Stephen Turner, Catrin Tudur Smith

    Published 2025-05-01
    “…Transition probabilities pertaining to low-dose ICS were adjusted by relative risks for asthma control and exacerbations for alternative treatments, derived from a NMA. Health state utilities were identified from literature sources. …”
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  11. 1411

    Examining the cultuling of Iranians’ concerns for others: From apathy to metapathy by Reza Pishghadam, Shima Ebrahimi

    Published 2025-06-01
    “…These utterances were collected from written texts across various sources. Subsequently, the expressions related to concern were carefully analyzed utilizing the conceptual model of cultuling analysis (CLA). …”
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  12. 1412

    An Examination and Critique of Bottom-Up Causation in the Interpretation of Free Will, Focusing on the Non-Reductionist Approach by Tayybhe Gholami, Zahra khazaei

    Published 2025-05-01
    “…Primary materials include scholarly articles, philosophical texts, and contemporary analyses of reductionist theories, sourced from databases such as JSTOR and Google Scholar.Participants in the study include notable philosophers, whose views on free will and reductionism have significantly influenced contemporary discourse. …”
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  13. 1413

    Analyzing the Nature of Apparent Authority in Islamic Jurisprudence and Iranian Law by Hamid Reza Habibi, Behzad Pourseyyed

    Published 2025-03-01
    “…The shared legislative source of both rules, harmonizing apparent authority with foundational Islamic legal principles.     …”
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  14. 1414
  15. 1415
  16. 1416

    Synthesizing the Academic Administrators&rsquo; Competencies: Developing of a Model by Homa Rahmani, Asadollah Khadivi

    Published 2025-03-01
    “…</p> <ol style="text-align: left;" start="3"> <li><strong>Methodology</strong></li> </ol> <p style="text-align: left;">The current research serves a functional purpose, employing a qualitative approach. …”
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  17. 1417
  18. 1418

    An Empirical Analysis of Herding Behavior in the Stock Market: Evidence from Various Economic and Social Conditions in Iran by Majid Aghaei

    Published 2025-09-01
    “…Given the critical role of the capital market and its investors as key players in the economy, it is essential to examine their behavior to promote optimal decision-making and ensure proper market functioning. This study utilizes behavioral finance theories and analyzes data related to TSE to investigate investor behavior through the lens of herding behavior. …”
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  19. 1419
  20. 1420

    Integrated in silico identification of cholinesterase inhibitors from Nyctanthes arbor-tristis. by Qazi Mohammad Sajid Jamal, Ali H Alharbi, Varish Ahmad, Khurshid Ahmad

    Published 2025-01-01
    “…This study utilizes an in silico methodology to investigate new cholinesterase inhibitors sourced from Nyctanthes arbor-tristis, a plant known for its abundant bioactive phytochemicals. …”
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