Identification and Characterization of Genes Associated with Intestinal Ischemia-Reperfusion Injury and Oxidative Stress: A Bioinformatics and Experimental Approach Integrating Hig... by Xie Y, Yang M, Huang J, Jiang Z

“…Oxidative stress plays a critical role in this process, instigating inflammation and cell death. …”
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PECULIARITIES OF MANIFESTATION OF THE SKIN FORM OF LEISHMANIASIS OF MAXILLOFACIAL LOCALIZATION by M.G. Skikevych, L.I. Voloshyna

“… Leishmaniasis is a vector-borne disease in humans. Simple intracellular parasites cause the disease. …”
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T-lymphocytes of the 2nd type of the immune response and their role in enhancing inflammation during the professional activities of firefighters by N. V. Bychkova, A. A. Kalashnikova, N. M. Kalinina

“…From nasal secretions, the content of secretory immunoglobulin A (Vector Best) was evaluated (n = 30). Statistical processing of the results was performed using the Statistica 12.0 package (StatSoft). …”
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Developing data driven framework to model earthquake induced liquefaction potential of granular terrain by machine learning classification models by Kennedy C. Onyelowe, Viroon Kamchoom, Tammineni Gnananandarao, Krishna P. Arunachalam

“…For developing the SVM_Poly, SVM_RBK models, an extensive number of trials were conducted using various combinations of C and d for polynomial kernels and C and ∂ for radial basis function kernel-based support vector machines (SVMs) utilizing user-defined parameters. …”
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Study on the role of FGF13 in the repair of inferior alveolar nerve injury by regulating mitochondrial function by JIAO Yi, SUN Xinrong, LIU Weicai

“…ND7/23 nerve cells were divided into overexpression group (ND7/23-FGF13) and control group (ND7/23-vector), transfected with FGF13 overexpression lentivirus and control virus, respectively. …”
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Implementation of article 67.1 of the Russian Constitution in the context of scientific historical and legal experience by M. A. Kozhevina

“…The formal legal method was also used. It determined the vector of analysis of the legal source and the internal structure of the legal norms of Article 67.1, as well as the legal and technical features of their implementation and enforcement.The main results, scope of application. …”
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Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

“…Results indicate that the supervised ensemble algorithm, eXtreme Gradient Boosting (XGBoost), outperforms all other utilized techniques such as random forest, Gradient Boosting Regressor, support vector regression, kernel ridge regression, K-nearest neighbors, and Gaussian process regression. …”
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Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation by Caroline Bönisch, Christian Schmidt, Dorothea Kesztyüs, Hans A Kestler, Tibor Kesztyüs

“…Logistic regression, k-nearest neighbors, a naive bayes classifier, a decision tree classifier, a random forest classifier, extreme gradient boosting (XGB), and support vector machines (SVM) were selected as machine learning algorithms. …”
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Single-Stage Entity–Relation Joint Extraction of Pesticide Registration Information Based on HT-BES Multi-Dimensional Labeling Strategy by Chenyang Dong, Shiyu Xi, Yinchao Che, Shufeng Xiong, Xinming Ma, Lei Xi, Shuping Xiong

“…Subsequently, we integrate semantic and syntactic features, enriching the character vector representations and thus improving the model’s ability to represent complex textual data. …”
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Modeling the cooling effect of urban green infrastructures with an ecosystem services approach ( case study: Tehran metropolis) by S. Malekzadeh, H.R. Jafari, R. Nazari, T. Blaschke, A. Hof, M. Karimi

“…A supervised classification via the Super Vector Machine algorithm identified four land use categories: built-up areas, barren lands, green spaces, and water bodies. …”
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A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models by Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, Mohammad Lutfi Othman, Mohammad Effendy Ya’acob, Noor Izzri Bin Abdul Wahab, Masoud Ahmadipour

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Progress of personalized medicine of cystic fibrosis in the times of efficient CFTR modulators by Burkhard Tümmler, Sophia Theres Pallenberg, Anna-Maria Dittrich, Simon Y. Graeber, Lutz Naehrlich, Olaf Sommerburg, Marcus A. Mall

“…CFTR modulators are a novel class of drugs that improve defective posttranslational processing, trafficking and function of mutant CFTR. …”
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SP-GEM: Spatial Pattern-Aware Graph Embedding for Matching Multisource Road Networks by Chenghao Zheng, Yunfei Qiu, Jian Yang, Bianying Zhang, Zeyuan Li, Zhangxiang Lin, Xianglin Zhang, Yang Hou, Li Fang

“…Identifying correspondences of road segments in different road networks, namely road-network matching, is an essential task for road network-centric data processing such as data integration of road networks and data quality assessment of crowd-sourced road networks. …”
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Short- and long-term weekly patient-reported outcomes prediction undergoing radiotherapy: single-patient time series model vs. transformer-based multi-patient time series model by Yang Yan, Zhong Chen, Xinglei Shen, Ronald C. Chen, Hao Gao

“…Methods Based on the well-documented prostate cancer PRO dataset with 17 patients after pre-processing, this study evaluates single-patient time series models (i.e., vector autoregression (VAR) and VAR with incremental ground truth PRO data (VAR-Inc)) and a transformer-based multi-patient model (i.e., Temporal Fusion Transformer (TFT)) for short- and long-term weekly PRO prediction. …”
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Pyoderma in dogs (classification, pathogenesis, main pathogens, treatment) by V. M. Bubnov, Ya. V. Kisera, Yu. V. Martyniv

“…On the basis of the received data, an analysis was carried out and a perspective vector was formed for the further direction of scientific research, which would allow to eliminate the problem of this disease.…”
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Identification of cellular signatures associated with chinese hamster ovary cell adaptation for secretion of antibodies by Ying Bai, Ivan Domenech Mercadé, Ramy Elgendy, Giulia Lambiase, Sew Peak-Chew, Catarina Franco, Steven W. Wingett, Tim J. Stevens, Luigi Grassi, Noah Hitchcock, Cristina Sayago Ferreira, Diane Hatton, Elizabeth A. Miller, Rajesh K. Mistry

“…Unconventional biological drugs with complex structures and processing requirements are particularly problematic. …”
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Climate Study of Changes of Major Water Resources in Qom Province Using Satellite Data and Remote Sensing Technologies by Nima Rohani, Taher Rajaee, Barat Mojaradi, Ehsan Jabbari, Seyed Ahmad Shafiei Darabi, Mehran Heidari Bani

“…These images were pre-processed, processed and post-processed. Classification indices of four classes of water, salt land, common soil land and vegetation were applied and localized in Qom province. …”
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LncMPEG1/miR-2c regulates exoskeleton biocalcification via engrailed in bivalve by Minxin Liang, Caixia Cai, Ziqi Ren, Zhiqing Li, Ronglian Huang, Qingheng Wang, Yongshan Liao, Chuangye Yang, Zhe Zheng

“…LncMPEG1 interference significantly reduced target gene transcription (p < 0.01), and its overexpression enhanced the reporter vector's activity by binding miR-2c (p < 0.05). Collectively, these results underscore LncMPEG1's role in shell formation through competitive binding with miR-2c, thereby regulating the expression of biomineralization-related genes.…”
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A Novel Approach for Testing Fractional Cointegration in Panel Data Models with Fixed Effects by Saidat Fehintola Olaniran, Oyebayo Ridwan Olaniran, Jeza Allohibi, Abdulmajeed Atiah Alharbi

“…Specifically, we develop a test statistic that accommodates variation in the long-term cointegrating vectors and fractional cointegration parameters across observational units. …”
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THREE-DIMENSIONAL GIS MODELING OF THE STRELTSOVSKAYA CALDERA’S COVER ON THE BASIS OF SURFACE RELIEF AND THE BASEMENT’S TOP DIGITAL MODELS by I. O. NAFIGIN, S. A. USTINOV, V. A. PETROV

“…To  solve this problem, modeling of the daylight surface relief and the  basement roof has been carried out on the basis on remote sensing  data, geophysical studies, cartographic materials vectorization and  processing results. The space between the constructed surfaces due  to the algorithm for creating closed framework of surfaces has been  transformed into a new object representing three-dimensional  volumetric model of the caldera volcano-sedimentary cover. …”
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