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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Dementia Scale Score Classification Based on Daily Activities Using Multiple Sensors by Akira Minamisawa, Shogo Okada, Ken Inoue, Mami Noguchi

“…We analyzed the effects of different types of sensor data, such as time spent in an individual room according to human motion sensors, location in a facility, and sleep patterns, on dementia detection. We then developed a feature extraction method related to daily activity patterns based on a clustering algorithm and analyzed its effectiveness. …”
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Helicobacter pylori infection at long-term treatment by proton pump inhibitors for acid-related diseases (Literature review and resolution of Advisory council, March 22, 2018) by V. T. Ivashkin, I. V. Mayev, R. A. Abdulkhakov, O. P. Alekseyeva, S. A. Alekseyenko, A. Yu. Baranovsky, Ye. K. Baranskaya, I. L. Klyaritskaya, N. V. Korochanskaya, Yu. A. Kucheryavy, T. L. Lapina, M. F. Osipenko, V. I. Simanenkov, G. N. Tarasova, A. S. Trukhmanov, I. B. Khlynov, A. A. Sheptulin

“…There is no relation of gastroesophageal reflux disease (GERD) symptom severity, the pattern of relapses and treatment efficacy to the presence or absence of H. pylori infection; successful H. pylori eradication does not cause relapse of pre-existing GERD and does not induce its development. …”
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Urban-Rural Differentiation in Serbia Beyond the Women’s Role in the Local Labor Force by Drobnjaković Marija, Panić Milena

“…Differentiation between rural and urban areas in Serbia is a disputable issue, usually based on the most commonly used indicators which do not reflect the functional and social local features. This research starts from the hypothesis that labor market gender inequality is strongly correlated with urban-rural dichotomy and patriarchal patterns on women's position. …”
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Theoretical Study and Application of Rate Transient Analysis on Complex Fractured-Caved Carbonate Reservoirs by Qingyan Yu, Qi Wang, Pengcheng Liu, Jing Zhang, Qi Zhang, Xiaojuan Deng, Kai Feng

“…Carbonate reservoirs are mainly fractured-caved reservoirs with very well-developed dissolved pores, fractures, and caves. They have strong heterogeneity with various types of reservoir pore spaces. …”
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Structural bioinformatics approaches for predicting novel drug targets in hepatitis C virus proteins: a comprehensive analysis by Miao Qu, Mingzhu Gao, Xisheng Sang, Miao Yu, Zihe Guan, Weizhi Chang

“…Our findings revealed promising drug targets including the NS3 protease, NS5B polymerase, core protein, and NS5A, with detailed characterization of their binding pockets and interaction patterns. The study provides structural insights for rational drug design against HCV and demonstrates the utility of computational approaches in antiviral drug discovery. …”
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Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas by Yue Hu, Xin Cao, Hongyi Chen, Daoying Geng, Kun Lv

“…The biological interpretability of selected features reflects distinct neuroplasticity patterns between LGGs and HGGs, advancing understanding of glioma-network interactions.…”
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DEEP CRUSTAL STRUCTURE AND MODEL OF NEORCHAEAN EVOLUTION OF THE NORTH AMERICAN CRATON by M. V. Mints, T. B. Afonina

“…The Neoarchaean North American Craton is one of a series of similar phenomena that occurred ~2.75 Ga ago in a number of continental regions. The most important features, repeated to a certain degree in tectonic units of this type, are: (1) synchronous formation between 2.79 and 2.58 Ga; (2) mainly intracontinental development; (3) the prevalence of oval‐shaped synformal tectonic structures of different ranks with some form of concentric zoning; (4) high‐temperature magmatism (usually with the participation of enderbite‐charnockites and gabbro‐anorthosites) and metamorphism of the granulite facies; (5) a frequently repeated combination of high‐grade (granulite and high‐ temperature amphibolites facies) and low‐ or moderate‐grade (greenschist and epidote‐amphibolite facies) meta‐ morphic rocks; (6) the lower‐crust granulite‐basaltic layer that had formed and was deformed at the final stage of endogenic activity; (7) a thick lithosphere (the lithospheric keel reaches a depth of 250–350 km).…”
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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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Anteromedial facet coronoid fractures: an algorithmic approach for assessment and management based on 3 dimensional computed tomography humeral subtraction by Armin Badre, MD, MSc, FRCSC, Moayd Abdullah H. Awad, MBBS, FRCSC, Robert Chan, MD, MSc, FRCSC, Michael Lapner, MD, FRCSC

“…We hypothesized that a detailed assessment of the pattern of AMF fracture utilizing three-dimensional computed tomography with digital subtraction of the humerus allows for a reliable treatment algorithm to avoid over- or under-treatment of these complex injuries. …”
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A Review of Application of Deep Learning in Endoscopic Image Processing by Zihan Nie, Muhao Xu, Zhiyong Wang, Xiaoqi Lu, Weiye Song

“…Deep learning, particularly convolutional neural networks (CNNs), has revolutionized endoscopic image processing, significantly enhancing the efficiency and accuracy of disease diagnosis through its exceptional ability to extract features and classify complex patterns. This technology automates medical image analysis, alleviating the workload of physicians and enabling a more focused and personalized approach to patient care. …”
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Entoconulid or Cusp 6 on Indonesian Male Body by Anna Nur Azizah, Arfiani Ika Kusumawati, Mindya Yuniastuti, Elza Ibrahim Auerkari

“…It reflects complex genetic, epigenetic, and environmental interactions during tooth development. In forensic contexts, the presence of such morphological features can aid in population-specific identification and provide additional evidence in cases lacking ante-mortem data.The entoconulid, though rare, is a significant morphological characteristic with applications in forensic identification and anthropological research. …”
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The Pharmacological Potential of Algal Polysaccharides in Food Applications and Chronic Disease Management by Xue Wu, Yuxin Guo, Congjie Dai, Chao Zhao

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Prediction of delirium occurrence using machine learning in acute stroke patients in intensive care unit by Hyungjun Kim, Hyungjun Kim, Min Kim, Da Young Kim, Dong Gi Seo, Ji Man Hong, Ji Man Hong, Dukyong Yoon, Dukyong Yoon

“…We observed that the patterns of dynamic features, including BT, SpO2, RR, and Heart Rate Variability (HRV) kept changing as the time points were getting closer to the delirium occurrence time. …”
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Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms by Eva Guttmann-Flury, Xinjun Sheng, Xiangyang Zhu

“…They can be considered as noise, affecting the efficiency and accuracy of decoding users’ cognitive states and intentions, or as potential features, providing valuable insights into users’ behavior and interaction patterns. …”
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