A Machine Learning Approach to Adapt Local Land Use Planning to Climate Change by Julia Forster, Stefan Bindreiter, Birthe Uhlhorn, Verena Radinger-Peer, Alexandra Jiricka-Pürrer

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Current Approaches to the Treatment of Traumatic Shock (Review) by D. A. Ostapchenko, A. I. Gutnikov, L. A. Davydova

“…The use of a comprehensive multicomponent intensive care strategy matching the pathophysiological changes is a difficult challenge for a critical care physician.The aim of the review is to demonstrate the specific features and sequence of events occurring in the body during the development of traumatic shock, the pattern of manifestations of clinical signs, and potential use of intensive therapy methods tailored to the pathophysiological responses in traumatic shock.Material. …”
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Data-driven intelligent productivity prediction model for horizontal fracture stimulation by Qian Li, Yiyong Sui, Mengying Luo, Bin Guan, Lu Liu, Yuan Zhao

“…Additionally, the influence patterns of proppant volume on well productivity were comprehensively analyzed to optimize reasonable proppant volumes for different wells and intervals. …”
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THEORY AND HISTORY OF ART TUITION AT SECULAR AND RELIGIOUS EDUCATION INSTITUTIONS IN THE 19TH AND EARLY 20TH CENTURIES by A. M. Kopirovsky

“…It is necessary to provide both new forms and methods of teaching, and judgment of the ways of conducting educational process existing earlier.The aim of the research is to identify specific features of academic subject formation patterns, in particular, the forms and stages of transitioning from random aesthetic knowledge acquisition («perception of beauty») towards more comprehensive curricula saturated with visual and factual information; and the nature of subject-specific tuition.Methodology and research methods involve the retrospective analysis of the archival materials, documents and other sources concerning the declared subject; generalization and projection of experience of the past to modern realities.Results and scientific novelty. …”
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Climate-Related Gradients On Vegetation Diversity Of The Altai-Sayan Orobiome (Southern Siberia) by Maxim V. Bocharnikov

“…Identified patterns determine unity of the Altai-Sayan orobiome as well as regional differentiation that reflected on the development of types of vegetation zonality. …”
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Data quality and uncertainty issues in flood prediction: a systematic review by Jinhui Yu, Yichen Li, Xiao Huang, Xinyue Ye

“…These datasets often suffer from issues such as incompleteness, inconsistency, and accuracy deficits, further complicated by uncertainties arising from complex spatial features and environmental changes. The literature proposes a range of solutions, including the development of innovative methodologies, model construction, and comparative analysis, to address these challenges. …”
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Technical innovations and their representations in post-modern arts (Op art as a model) by Hussein Jabbar Mohammad

“…All aspects of science, including human approaches, are affected by technological development. This prompted the artist to search for what art is and its new patterns, which depend on the link between the elements of space, light and movement in order to create the new kinetic beauty that evokes sensations at the same time.          …”
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Resilience of the transit-oriented built environment against COVID-19 transmission: Evidence from major urban communities in Wuhan city by Yangguang Xiao, Hsi-Chuan Wang, Kojiro Sho

“…This study investigates how features of the built environment within transit-oriented development-guided (TOD-guided) communities influenced COVID-19 transmission patterns in Wuhan. …”
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XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy by Wenhan Li, Wenhan Li, Yajing Zhou, Ziyu Luo, Ziyu Luo, Miao Tan, Miao Tan, Rui Yin, Jianhui Li, Jianhui Li

“…Nowadays, machine learning (ML) offers advanced capabilities to handle high-dimensional data and complex patterns. This study aimed to develop an ML model integrating clinical data and ultrasound features to improve personalized prediction of TN malignancy.MethodsData from 2,014 patients with TNs (2018.01–2024.01) were retrospectively analyzed, with 1,612 in the training set and 402 in the test set. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…The deep learning (DL) model, a part of the machine learning (ML) technique, has developed as an effectual device in cybersecurity, permitting more effectual recognition of anomalous behaviour and classifying patterns indicative of threats. …”
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Characteristics of phase synchronization in electrohysterography and tocodynamometry for preterm birth prediction by Jae-Hwan Kang, Young-Ju Jeon, In-Seon Lee, Junsuk Kim

“…This study suggests the critical role of EHG signals and their intricate spatiotemporal patterns in predicting preterm birth, providing insights for the development of more accurate and efficient prediction models.…”
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On laser desorption/ionization mass spectrometry of molybdenum disulfide 2D nanomaterial by O. A. Boryak, M. V. Kosevich, V. A. Pashynska, P. O. Kuzema, V. A. Karachevtsev

“… Mass spectrometric characterization of non-molecular nanomaterials has its distinctive features as compared to analysis of molecular substances. …”
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Single-cell pseudotime and intercellular communication analysis reveals heterogeneity and immune microenvironment in oral cancer by Hanjun Liu, Lian Xie, Xuemin Xing, Lili Hou, Jinfeng Zhang, Ling Yang

“…Analysis of gene expression patterns associated individual genes with distinct principal components that described features of cell subtypes or states in the oral cancer microenvironment. …”
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Circulating lipidome underpins gender differences in the pathogenesis of type 2 diabetes by Madhusmita Rout, Oliver Fiehn, Dharambir K. Sanghera

“…Their patterns may underpin gender differences in the pathogenesis of metabolic and cardiovascular diseases.…”
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Genetic diversity of kaffir sorghum accessions from the VIR collection in kafirin-encoding loci by N. V. Alpatieva, I. N. Anisimova, M. K. Ryazanova, V. V. Vasipov, R. A. Abdullaev, O. I. Romanova, E. E. Radchenko

“…Sixteen kaffir sorghum accessions were phenotyped according to morphological features and kafirin electrophoretic banding patterns in their grain, and genotyped using PCR markers specific for kafirin-encoding genes. …”
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Using a deep learning neural network to predict flight path by Oleksandr Bezsonov, Serhii Liashenko, Oleg Rudenko, Sofiia Rutska, Kateryna Vashchenko

“…The training process involved several stages, starting with pre-training on general visual features and then fine-tuning to UAV-specific motion patterns. …”
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Teaching coherent descriptive speech to children of senior preschool age with speech underdevelopment problems by L. G. Shadrina, O. V. Efimova

“…However, in modern speech therapy, the development of coherent speech is made dependent on the elimination of the shortcomings of unformed language structures and involves the use of reproductive techniques, including mainly constant repetitions of speech patterns. …”
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Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenari... by Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, Stefania Bonafoni, Marco Vizzari

“…However, the classification of shrublands proved challenging due to their mixed composition and unique spatial patterns, resulting in lower accuracies. Feature importance analysis demonstrated the value of the enhanced map composition, and applying the LandTrendr algorithm simplified the diachronic land use and land cover (LULC) classification and change analysis by supporting automatic training data collection. …”
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Knowledge Mapping for the University: Analysis of Approaches and an Example of Its Use by T. A. Gavrilova, A. V. Kuznetsova, E. Y. Greenberg

“…The purpose of the article is to analyze the current research, development and application of knowledge maps for visualizing heterogeneous, disparate, and often hidden knowledge in universities, and discuss the features of the development of maps in higher education institutions.Materials and methods. …”
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The Space Conceptual Models and Water Vapor Characteristics of Typical Rainstorms during Plum Rain Season by Ying Tian, Rong Yao, Enrong Zhao, Qian Yao, Xiaolong Pan

“…The daily precipitation of LLVSP cases has extremity feature. The occurrence and development of rainstorms are well coordinated with the systems on lower levels. …”
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