Detection of the stem-boring damage by pine shoot beetle (Tomicus spp.) to Yunan pine (Pinus yunnanensis Franch.) using UAV hyperspectral data by Meng-Ying Liu, Guang-Yun Li, Lei Shi, Ya-Ying Li, Huai Liu

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Constructing a potential HLA haplo-homozygous induced pluripotent stem cell haplobank using data from an umbilical cord blood bank by Ji He, Yanmin He, Qigang Zhan, Zhipan Wu, Qi Sheng, Wei Zhang, Faming Zhu

“…Abstract Background Induced pluripotent stem cells (iPSCs) can differentiate into any type of cell and have potential uses in regenerative medicine for the treatment of many diseases. …”
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Estimation of Leaf, Spike, Stem and Total Biomass of Winter Wheat Under Water-Deficit Conditions Using UAV Multimodal Data and Machine Learning by Jinhang Liu, Wenying Zhang, Yongfeng Wu, Juncheng Ma, Yulin Zhang, Binhui Liu

“…The aim was to evaluate the performance of multimodal data in estimating winter wheat leaves, spikes, stems, and total AGB. …”
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Improved sap flow prediction: A comparative deep learning study based on LSTM, BiLSTM, LRCN, and GRU with stem diameter data by Amora Amir, Marya Butt

“…Deep learning models were designed using four advanced Recurrent Neural Networks (RNN) architectures: LSTM, BiLSTM, LRCN, and GRU, trained with past sap flow and stem diameter data from tomato plants. Based on the last three hours of data, the models predicted sap flow for the next hour. …”
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Neural network approaches, including use of topological data analysis, enhance classification of human induced pluripotent stem cell colonies by treatment condition. by Alexander Ruys de Perez, Paul E Anderson, Elena S Dimitrova, Melissa L Kemp

“…Understanding how stem cells organize to form early tissue layers remains an important open question in developmental biology. …”
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Enrollment of women in STEM by Mariana ROBU

“…The research method is based on national data analyses, statistical trends and econometric forecasting analyses to identify the benefits of increasing the representation of women in STEM areas. …”
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Transcriptomic analysis of neural stem and progenitor cells in comparison with glioblastoma stem cells by V. E. Shevchenko, N. E.  Arnotskaya, T.  I. Kushnir, A. S. Bryukhovetskiy

“…It is believed that GSCs can be formed as a result of oncogenic transformation of neural stem and progenitor cells (NSPcs), which have morphological and functional properties similar to them. …”
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Epidemiology of Bacteremia in Patients with Hematological Malignancies and Hematopoietic Stem Cell Transplantation and the Impact of Antibiotic Resistance on Mortality: Data from a Multicenter Study in Argentina by Fabián Herrera, Diego Torres, Ana Laborde, Rosana Jordán, Lorena Berruezo, Inés Roccia Rossi, Noelia Mañez, Lucas Tula, María Laura Pereyra, Andrea Nenna, Patricia Costantini, José Benso, María Luz González Ibañez, María José Eusebio, Nadia Baldoni, Laura Alicia Barcán, Sandra Lambert, Martín Luck, Fernando Pasterán, Alejandra Corso, Melina Rapoport, Federico Nicola, María Cristina García Damiano, Renata Monge, Ruth Carbone, Mariana Reynaldi, Graciela Greco, Miriam Blanco, María Laura Chaves, Marcelo Bronzi, Alberto Carena

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Targeting LHPP in neoadjuvant chemotherapy resistance of gastric cancer: insights from single-cell and multi-omics data on tumor immune microenvironment and stemness characteristics by You-Xin Gao, Xiao-Jing Guo, Bin Lin, Xiao-Bo Huang, Ru-Hong Tu, Mi Lin, Long-Long Cao, Qi-Yue Chen, Jia-Bin Wang, Jian-Wei Xie, Ping Li, Chao-Hui Zheng, Ying-Hong Yang, Chang-Ming Huang, Jian-Xian Lin

“…Our findings showed that high LHPP expression was closely linked to the increased infiltration of antitumor immune cells, such as CD8+ T cells, and significantly suppressed the development of stemness characteristics in GC. Additionally, single-cell sequencing data revealed that tumor epithelial cells with low LHPP expression exhibited heightened stemness and demonstrated the strongest communication with CD8+-exhausted T cells. …”
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Diameter at Breast Height (DBH) Estimation and Stem Cross-Section Shape Analysis of Eucalyptus Trees Using LiDAR Data after Noisy Removal by Matheus Ferreira da Silva, Renato Cesar dos Santos, Antonio Maria Garcia Tommaselli, Mauricio Galo

“… LiDAR data offer new possibilities for obtaining geometric parameters of forest areas, such as diameter at breast height (DBH), basal area, height, volume, biomass, and carbon stock. …”
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A scoping review on U.S. undergraduate students with disabilities in STEM courses and STEM majors by Maura Borrego, Ariel Chasen, Hannah Chapman Tripp, Emily Landgren, Elisa Koolman

“…Sources appeared in discipline-based education research (DBER), STEM disciplinary and education journals as well as DBER conferences. …”
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Application of Stem Cells in Orthopedics by Andreas Schmitt, Martijn van Griensven, Andreas B. Imhoff, Stefan Buchmann

“…However, the ideal carrier for the stem cells still remains controversial. This paper aims to provide a better understanding of current basic research and clinical data concerning stem cell research in bone, tendon, and cartilage repair. …”
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Mesenchymal stem cells: diversity by O. M. Grabovyi, N. M. Nevmerzhytska, L. M. Yaremenko, H. B. Kostynskyi, A. S. Demydchuk, H. Yu. Kondaurova

“…To analyze literature data on mesenchymal stem cells that reflect their ability to differentiate and secrete regulatory factors, immunophenotypic features and genetic landscape that may underlie their diversity. …”
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The Synthesis for Research Trends in Identity Studies in STEM Education: A Bibliometric Analysis of the STEM Literature by Ulku Seher Budak, Sevda Yerdelen-Damar

“…This study used bibliometric analysis for the evolutionary examination of large amounts of meta-data. Performance analysis and science mapping analysis were performed. …”
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Economic value of HPC experience for new STEM professionals: Insights from STEM hiring managers by Winona Snapp-Childs, Winona Snapp-Childs, Claudia M. Costa, Daniel Olds, Daniel Olds, Addison Snell, Julie A. Wernert, Craig A. Stewart

“…We also estimate the value to the US economy of practical experience offered to US students through training about HPC and the opportunity to use HPC systems funded by the National Science Foundation (NSF) and accessible nationally.MethodsInterviews and surveys of employers of graduates in STEM fields were used to gauge demand for STEM graduates with practical HPC experience and the salary increase that can be associated with the possession of such skills. …”
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PXMP2 inhibits tumor stemness and immune infiltration in hepatocellular carcinoma based on stemness risk by Dingde Ye, Jiaqing Chen, Jian Wang, Qing Ge, Xianzhong He, Jiamu Qu, Ting Fang, Runze Wang, Shuai Mao, Qiang Wang, Qingxiang Xu, Beicheng Sun

“…A stemness risk model was constructed based on data from TCGA, GEO databases, and bioinformatics methods. …”
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A protocol for identifying universal reference genes within a genus based on RNA-Seq data: a case study of poplar stem gene expression by Qi Xie, Umair Ahmed, Cheng Qi, Kebing Du, Jie Luo, Pengcheng Wang, Bo Zheng, Xueping Shi

“…In this study, a pipeline for identifying candidate RGs from publicly available stem-related RNA-Seq data of different Populus species under various developmental and abiotic stress conditions is presented. …”
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Cell biobank as a necessary infrastructure for the development and implementation of mesenchymal stem cell-based therapy in the treatment of anthracycline-induced cardiotoxicity. Literature review and own data by L. Yu. Grivtsova, O. E. Popovkina, N. N. Dukhova, O. A. Politiko, V. V. Yuzhakov, L. A. Lepekhina, S. Sh. Kalsina, S. A. Ivanov, A. D. Kaprin

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Updating Canada’s National Forest Inventory with multiple imputations of missing contemporary data by Steen Magnussen, Graham Stinson, Paul Boudewyn

“…Specifically, we looked at state at time T2 and change between T1 and T2 in cover-type area proportions and in per unit area stem volume. At each location we found significant T1 differences in these attributes between plots with and without T2 data. …”
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Efficient spheroid morphology assessment with a ChatGPT data analyst: implications for cell therapy by Takuya Sakamoto, Hiroto Koma, Ayane Kuwano, Tetsuhiro Horie, Atsushi Fuku, Hironori Kitajima, Yuka Nakamura, Ikuhiro Tanida, Yujiro Nakade, Hiroaki Hirata, Yoshiyuki Tachi, Hiroshi Sunami, Daisuke Sakamoto, Sohsuke Yamada, Naoki Yamamoto, Yusuke Shimizu, Yasuhito Ishigaki, Toru Ichiseki, Ayumi Kaneuji, Satoshi Osawa, Norio Kawahara

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