Representation of chemistry transport models simulations using knowledge graphs by Eduardo Illueca Fernández, Antonio Jesús Jara Valera, Jesualdo Tomás Fernández Breis

“…In this context, semantic technologies provide methods and standards for scientific data and make information readable for expert systems. …”
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Large Language Model Architectures in Health Care: Scoping Review of Research Perspectives by Florian Leiser, Richard Guse, Ali Sunyaev

“…ObjectiveIn this literature review, we aim to provide insights on the different LLM model architecture families (ie, Bidirectional Encoder Representations from Transformers [BERT]–based or generative pretrained transformer [GPT]–based models) used in previous research. …”
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Identification of unique microRNA signature associated with lupus nephritis. by Jeannie L Te, Igor M Dozmorov, Joel M Guthridge, Kim L Nguyen, Joshua W Cavett, Jennifer A Kelly, Gail R Bruner, John B Harley, Joshua O Ojwang

“…The investigation of miRNA profiles in SLE may lead to the discovery and development of novel methods to diagnosis, treat and prevent SLE.…”
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Effect of V-box Insertion Position on Hormone Response Activity of GWSF Promoter in Capsicum annuum by Shuyuan YANG, Lijun CHEN, Min XU, Meizhu WU, Zhenchi HUANG

“…The recombinant plasmids were transformed into Agrobacterium tumefaciens GV3101. The leaf discs of Capsicum annuum were transient transformed using the Agrobacterium-mediated method. …”
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Multi-Temporal Remote Sensing Satellite Data Analysis for the 2023 Devastating Flood in Derna, Northern Libya by Roman Shults, Ashraf Farahat, Muhammad Usman, Md Masudur Rahman

“…Different supervised classification methods were examined, including random forest, support vector machine, naïve-Bayes, and classification and regression tree (CART). …”
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Comparison of corneal epitheliotrophic capacities among human platelet lysates and other blood derivatives. by Chien-Jung Huang, Yi-Chen Sun, Karen Christopher, Amy Shih-I Pai, Chia-Ju Lu, Fung-Rong Hu, Szu-Yuan Lin, Wei-Li Chen

“…The concentrations of epidermal growth factor (EGF), transforming growth factor -β1 (TGF-β1), fibronectin, platelet-derived growth factor-AB (PDGF-AB), PDGF-BB, and hyaluronic acid in different blood derivatives were evaluated by enzyme-linked immunosorbent assay (ELISA).…”
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Assessment and enhancement of transfer capability for large-scale renewable generation base transmitted by voltage source converter based high voltage direct current system by Shiyuan Chen, Shunjiang Lin, Yuerong Yang, Kaiyun Jiang, Mingbo Liu

“…Voltage source converter based high voltage direct current transmission is a key method for transmitting large-scale renewable energy generation. …”
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A labeled medical records corpus for the timely detection of rare diseases using machine learning approaches by Matias Rolando, Victor Raggio, Hugo Naya, Lucia Spangenberg, Leticia Cagnina

“…Applying various supervised ML methods, including logistic regression, decision trees, support vector machine (SVM), deep learning methods (LSTM and CNN), and Transformers (BERT), we validated the use of the proposed resource, achieving 92.7% F-measure and a 96% AUC using SVM. …”
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Causes of watershed drought analyzed using explainable deep learning: a case study of the Fenhe River Basin by Zixuan Chen, Zixuan Chen, Zixuan Chen, Xikun Wei, Guojie Wang, Yifan Hu, Haonan Liu, Jinman Zhang, Jinman Zhang, Jinman Zhang, Shuang Zhou, Shuang Zhou, Shuang Zhou, Zengbao Zhao, Zengbao Zhao, Zengbao Zhao, Yushan Liu, Yushan Liu, Yushan Liu

“…This study predicted daily-scale drought for the Fenhe River (FHR) Basin and applied the explainable artificial intelligence (XAI) method to the model’s prediction results. Daily-scale drought prediction can provide more timely and detailed drought information, while deep learning interpretable methods can help understand the impact of different predictors on droughts and improve the credibility of the model. …”
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Scmaskgan: masked multi-scale CNN and attention-enhanced GAN for scRNA-seq dropout imputation by You Wu, Li Xu, Xiaohong Cong, Hanxiao Li, Yanli Li

“…Finally, multiple experiments were conducted to evaluate the methods’ performance using seven different data types and scRNA-seq data from ten neuroblastoma samples. …”
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Gender Discourse in Modern University Educational Space by Yuliia Sytnykova

“…The analysis, synthesis, comparison and generalization methods as methodology are used in the paper. This study as a result dedicates to the theoretical issues of creating productive conditions for the formation of gender-loyal young people attitude to members of different sexes and get rid of their own gender stereotypes. …”
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Contextual semantics graph attention network model for entity resolution by Xiaojun Li, Shuai Fan, Junping Yao, Haifeng Sun

“…Abstract Entity resolution technology is the process of distinguishing whether data from different knowledge bases refer to the same entity in the real world. …”
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Assessment of The Potential Interference and Conflict of Artificial Intelligence With Human Rights and Citizenship: Challenges and Solutions by Hossein Khazaei, Mojtaba Hemmati

“…Artificial intelligence is a emerging phenomenon in the field of technology that, according to scientists' predictions, will significantly transform many aspects of life in the near future and bring about important changes in the course of human existence. …”
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Study on shallow grain induced micro-region surface topography instability of bulk Sn alloys upon internal stress conditions by Bei Hu, Wenjun Zhou, Kensuke Tsuchiya

“…This work focuses on the internal residual stress induced SG transformations and its resultant surface and microstructural features. …”
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Beyond sRGB: Optimizing Object Detection with Diverse Color Spaces for Precise Wildfire Risk Assessment by Zhiyuan Yang, Suchang Cao, Michal Aibin

“…In this study, we systematically investigate the impact of different color spaces (sRGB, Linear RGB, Log RGB, XYZ, LMS, and D-Log) on the performance of state-of-the-art vision transformer models and the latest YOLO model for tree condition detection. …”
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Procedure of definition of structure and parameters of multi-band matching circuits on the basis of intracavitary complex criterion for conformity to the ideal filter by V. N. Shashok, A. S. Kanaplizki

“…A short characteristic of approaches to solve the problems of synthesis of the multi-band frequencyselective circuits based on the use of multifrequency resonators, frequency transformations and parametric transformations using numerical procedures of optimisation is given. …”
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Dynamic structure evolution and failure mechanism of nanocrystalline AlCo-CrFeNi by ZHANG Rong, QI Wenjun

“…The phase transition， dislocation， hole， and failure mechanism of the two nanocrystallines are different during the stretching process. During the stretching process of nano-monocrystals， the FCC structure is mainly transformed into a non-crystalline structure. …”
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Energy and Spectrum Efficient Transmission Techniques Under QoS Constraints Toward Green Heterogeneous Networks by Haris Pervaiz, Leila Musavian, Qiang Ni, Zhiguo Ding

“…In order to find its Pareto optimal solution, the MOP is transformed, using a weighted sum method, into a single-objective optimization problem (SOP), which itself can further be transformed from a fractional form, by exploiting fractional programming, into a subtractive form. …”
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Insight into unusual complex thermodynamical behaviour of citric acid and ethanolamine solution by Reshma Karunakaran, Rajagopal Shanmugasundaram

“…Experimental findings confirm the reversible phase transformation which is contrary to the conventional fluids. …”
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Sediment Maps for the Continental Shelf of the US Gulf of America and South Atlantic Bight Using Compositional Kriging by Iliana Chollett, Christopher Gardner, Larry Perruso, John F. Walter III

“…Compositional kriging is the method that provides the best accuracy in terms of mean absolute error. …”
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