Landscape of small nucleic acid therapeutics: moving from the bench to the clinic as next-generation medicines by Mohan Liu, Yusi Wang, Yibing Zhang, Die Hu, Lin Tang, Bailing Zhou, Li Yang

“…We also consider strategic issues such as important safety considerations, novel vectors and hurdles for translating academic breakthroughs to the clinic. …”
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Identification and functional characterization of the BnRAP2.3.2 promoter in rapeseed (Brassica napus L.) for waterlogging stress tolerance by Xian Tan, Yan Zhou, Yong Cheng, Ali Raza, Yan Lv, Youping Chen, Dan Luo, Liu Zeng, Xiaoyu Ding, Xiling Zou

“…In this study, a phylogenetic tree of ERF Ⅶs from 9 species was constructed, which showed that there has been a loss of gene copies throughout the evolutionary process of this subgene family. An ERF-Ⅶ gene (BnRAP2.3.2, BnaA05T0388900ZS) was identified. …”
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Text Mining and Unsupervised Deep Learning for Intrusion Detection in Smart-Grid Communication Networks by Joseph Azar, Mohammed Al Saleh, Raphaël Couturier, Hassan Noura

“…The Manufacturing Message Specification (MMS) protocol is frequently used to automate processes in IEC 61850-based substations and smart-grid systems. …”
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Plant-derived extracellular vesicles as a novel tumor-targeting delivery system for cancer treatment by Hanjin Wu, Mengya Shi, Liwei Meng, Jie Qiu, Yuancong Jiang, Da Qian, Fengqing Shen

“…Owing to their inherent therapeutic properties and potential as treatment vectors, natural P-EVs represent a promising biocompatible platform for targeted solid tumor therapy. …”
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Data fusion-based improvements in empirical regression and machine learning for global daily ∼ 8 km resolution sea surface nitrate estimation and interpretation by Aifen Zhong, Difeng Wang, Fang Gong, Jingjing Huang, Zhuoqi Zheng, Xianqiang He, Qing Zhang, Qiankun Zhu

“…For the machine learning models, seven algorithms, namely, extremely randomized trees (ET), multilayer perceptron (MLP), stacking random forest (SRF), Gaussian process regression (GPR), support vector machine (SVM), gradient boosting decision tree (GBDT), and extreme gradient boosting (XGBoost) algorithms, were tested. …”
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Research and application of micro-scale fracture prediction technology for deep coalbed methane based on five-dimensional seismic data by Lei ZHANG, Fengyin XU, Jiangnan TONG, Feng ZHANG, Feng WANG, Wei HOU, Yihang CHANG, Songyi HOU, Xiangbing PEI, Zhenyi CAO, Tong CHEN, Xuefeng LI, Ke ZHOU, Yongzhou LI, Huaibin ZHEN, Wenting ZENG

“…Focusing on the deep No. 8 coal seam in the study area, we rely on high-quality 3D seismic data characterized by “two wide and one high” features. Through OVT （Offset Vector Tile）domain processing, we obtained five-dimensional seismic data encompassing time, space (3D coordinates), offset (or source-receiver distance), and azimuth. …”
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A Hierarchical Machine Learning-Based Strategy for Mapping Grassland in Manitoba’s Diverse Ecoregions by Mirmajid Mousavi, James Kobina Mensah Biney, Barbara Kishchuk, Ali Youssef, Marcos R. C. Cordeiro, Glenn Friesen, Douglas Cattani, Mustapha Namous, Nasem Badreldin

“…The combination was then utilized to conduct the first two steps of classification using support vector machine (SVM) and gradient tree boosting (GTB). …”
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A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery by Zhen-qi LIAO, Yu-long DAI, Han WANG, Quirine M. KETTERINGS, Jun-sheng LU, Fu-cang ZHANG, Zhi-jun LI, Jun-liang FAN

“…., multiple stepwise regression (MSR), support vector regression (SVR), gradient boosting decision tree (GBDT), Gaussian process regression (GPR), back propagation neural network (BPNN) and radial basis function neural network (RBFNN), were compared for the retrieval of winter wheat LAI, CPP and CNC values, and a double-layer model was proposed for estimating CNC based on LAI and CPP. …”
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Machine learning to identify suitable boundaries for band-pass spectral analysis of dynamic [ $$^{11}$$ 11 C]Ro15-4513 PET scan and voxel-wise parametric map generation by Zeyu Chang, Colm J. McGinnity, Rainer Hinz, Manlin Wang, Joel Dunn, Ruoyang Liu, Mubaraq Yakubu, Paul Marsden, Alexander Hammers

“…The machine learning models utilized in this study include 1D Convolutional Neural Network, Neural Network, Support Vector Machine, Logistic Regression, K-nearest neighbors, and Fine Tree. …”
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Surface Classification from Robot Internal Measurement Unit Time-Series Data Using Cascaded and Parallel Deep Learning Fusion Models by Ghaith Al-refai, Dina Karasneh, Hisham Elmoaqet, Mutaz Ryalat, Natheer Almtireen

“…The second model is a parallel fusion model, which processes sensor data through both a CNN and an LSTM simultaneously before concatenating the resulting feature vectors and then passing them to a multi-head attention mechanism. …”
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Distinct features of the Leishmania cap-binding protein LeishIF4E2 revealed by CRISPR-Cas9 mediated hemizygous deletion. by Nofar Baron, Nitin Tupperwar, Irit Dahan, Uzi Hadad, Geula Davidov, Raz Zarivach, Michal Shapira

“…Leishmania parasites cycle between sand-fly vectors and mammalian hosts adapting to alternating environments by stage-differentiation accompanied by changes in the proteome profiles. …”
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There is no Target Oriented Speaking Activity without Motivation: Peculiarities of Children’s Monologues Expressions by Larysa Kalmykova, Iryna Volzhentseva, Nataliia Kharchenko, Іnna Мysаn

“…The aim of the article is in the description a) of finding out motivation peculiarities in extended monologue expressions and speech motives of the children of five and six years olds in ontogenesis; b) established connection between development state of speech motives and development state of lexical and grammatical expressions structuring that are out speaking and have great explanation strength while interpreting mastering and owing processes of the native language and oral speech. The used scientific methods are: а) theoretical (analyses of scientific resources, generalization of analyzed literature and its systematization, pointing out of some basic terms, which make the ground of the research, conclusion formulation); b) empirical (playing situations, motivating and speech screening, linguistic content-analyses of children’s judgments, stated, formatting and controlling experiments and survey of children; v) statistics methods. …”
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Investigating tectonic links between the deep Volturno plain and Campanian volcanism using vintage seismic and potential field data by Pier Paolo G. Bruno, Maria Luisa Putignano, Federico Cella, Giovanni Florio

“…Vintage seismic profiles were vectorized, depth-converted, and integrated with historical gravity and magnetic data. …”
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PMSFF: Improved Protein Binding Residues Prediction through Multi-Scale Sequence-Based Feature Fusion Strategy by Yuguang Li, Xiaofei Nan, Shoutao Zhang, Qinglei Zhou, Shuai Lu, Zhen Tian

“…However, these approaches face two main challenges: (1) these methods only concatenate residue feature vectors with a simple sliding window strategy, and (2) it is challenging to find a uniform sliding window size suitable for learning embeddings across different types of PBRs. …”
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Effectiveness of resveratrol in inducing adeno-associated virus as a potential definitive therapy for SCN5A mutation in Brugada syndrome: a narrative review by Andin Zahrani Pateda, Andi Alika Azzahra, Kuni Zakiyyah Sumargo, Muchtar Nora Ismail Siregar

“…This study aims to evaluate the effectiveness of resveratrol in enhancing the induction of AAV-based viral vectors as a potential definitive therapy for SCN5A mutations in BrS patients. …”
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Extracellular Vesicles: A Review of Their Therapeutic Potentials, Sources, Biodistribution, and Administration Routes by Su X, Wang H, Li Q, Chen Z

“…Xiaorong Su,1,* Hongxiang Wang,2,* Qiubai Li,3,4 Zhichao Chen1 1Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China; 2Department of Hematology, Key Laboratory for Molecular Diagnosis of Hubei Province, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, People’s Republic of China; 3Department of Rheumatology and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China; 4Hubei Engineering Research Center for Application of Extracellular Vesicle, Hubei University of Science and Technology, Xianning, 437100, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhichao Chen, Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China, Email chenzhichao@hust.edu.cn Qiubai Li, Department of Rheumatology and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China, Email qiubaili@hust.edu.cnAbstract: Extracellular vesicles (EVs) participate in intercellular communication and play an essential role in physiological and pathological processes. In recent years, EVs have garnered significant attention as cell-free therapeutic alternatives, vectors for drug and gene delivery, biomarkers for disease diagnosis and prognosis, vaccine development, and nutraceuticals. …”
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Legal status of the cities of Galicyna in the nineteenth century (on the example of Stanislavov) by Ilyn L., Kaleniuk O.

“…On the example of Stanislavov of the 19th century. show vectors of development of local self-government. Method. …”
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High risk oral contraceptive hormones do not directly enhance endothelial cell procoagulant activity in vitro. by Emma G Bouck, Marios Arvanitis, William O Osburn, Yaqiu Sang, Paula Reventun, Homa K Ahmadzia, Nicholas L Smith, Charles J Lowenstein, Alisa S Wolberg

“…Genes encoding the estrogen receptors ERα and ERβ (ESR1 and ESR2, respectively) were overexpressed in HUVEC and HDMVEC via lentiviral vectors. EC gene expression was assessed by RT-qPCR. …”
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Flow and mixing characteristics of single-pulsed dual parallel plane jets by Y.A. Altaharwah, C.M. Hsu

“…The lateral distribution of mean velocity vectors and vorticity were assessed using PIV technique. …”
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Humoral and Cellular Immune Regulation in Albino Rat Exposed to Glyphosate and Aluminum Phosphide by Ujuamala Ezeani, Onyemaechi Afonne, Michael Ezeani

“…Background: Glyphosate (GLP) and Aluminum phosphide (ALP) pesticides remain vital for managing pests and disease vectors in both agriculture and public health. However, humans may experience chronic exposure to complex mixtures of pesticides from diverse environmental or dietary sources. …”
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