Characterizing a complex buildup in the Pearl River Mouth Basin of the northern South China Sea: an interplay of carbonates and igneous rocks by Beichen Chen, Leyi Xu, Baojun Liu, Lili Zhang, Dong Xiao, Ya Gao, Ya Gao, Feng Wu, Xueqi Yang, Yaming Zou, Yongkun Ma, Yinglin Zhang

“…By analyzing the lithofacies of the carbonates and igneous rocks, the morphological features and spatial distribution patterns corresponding to these sedimentary and volcanic facies were identified. …”
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Differentiation of apical and basal dendrites in pyramidal cells and granule cells in dissociated hippocampal cultures. by You Kure Wu, Kazuto Fujishima, Mineko Kengaku

“…Hippocampal pyramidal cells and dentate granule cells develop morphologically distinct dendritic arbors, yet also share some common features. …”
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Impact and elastic modulus of coal mining on terrestrial ecosystems by Jihong Dong, Wenting Dai, Jiren Xu, Hui Zhang, Yunpeng Li, Fei Xie

“…Using China’s open-pit coal mining as a case study: (1) the research examines the fundamental attributes and evolving patterns of spatial distribution among these mines within the country. …”
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Mapping China Aquaculture Ponds: Integrating a New Aquaculture Index With Machine Learning by JianChun Chen, Chen Lin, Kun Xue, Ke Song, ZhiGang Cao, RongHua Ma, DanHua Ma, YiJun Tong

“…Abstract Aquaculture Pond (AP) plays a vital role in ensuring food security, driving economic development, conserving resources, and maintaining ecological balance. …”
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Osteoporosis: a problem still faulty addressed by the Romanian healthcare system. Results of a questionnaire survey of people aged 40 years and over by Narcisa Jianu, Narcisa Jianu, Narcisa Jianu, Valentina Oana Buda, Valentina Oana Buda, Denisa Căpățână, Călin Muntean, Teodor Nicolae Onea, Maria Anastasia Jivulescu, Ana Teodor, Ana Teodor, Mirabela Romanescu, Mirabela Romanescu, Lucreția Udrescu, Lucreția Udrescu, Vlad Groza, Mihai Udrescu, Alina Ramona Buzatu, Cristina Adriana Dehelean, Cristina Adriana Dehelean, Minodora Andor, Minodora Andor

“…The network’s clustering revealed six relevant communities, which are not correlated with questionnaire results but reflect the patterns of feature associations.ConclusionPreventive and therapeutic osteoporosis education programs are urgently needed in the Romanian population to decrease disability and high mortality risks and thus, to improve the quality of life.…”
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Cellular morphodynamics as quantifiers for functional states of resident tissue macrophages in vivo. by Miriam Schnitzerlein, Eric Greto, Anja Wegner, Anna Möller, Oliver Aust, Oumaima Ben Brahim, David B Blumenthal, Vasily Zaburdaev, Stefan Uderhardt

“…Notably, aged animals displayed a markedly shifted naïve morphospace, indicating drastically different behavioral patterns compared to their young counterparts. The developed method also proved valuable in optimizing explanted tissue setups, bringing RTM behavior closer to the physiological native state. …”
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Diagnostics and treatment of gastroesophageal reflux disease: clinical guidelines of the Russian gastroenterological association by V. T. Ivashkin, I. V. Mayev, I. . A.s. Trukhmanov, Ye. K. Baranskaya, O. B. Dronova, O. V. Zayratyants, R. G. Sayfutdinov, A. A. Sheptulin, T. L. Lapina, S. S. Pirogov, Yu. A. Kucheryavy, O. A. Storonova, D. N. Andreyev

“…The treatment of GERD has to be individualized according to the pattern and severity of clinical symptoms. The goal of treatment is symptom relief, at erosive esophagitis - healing of erosions and complication prevention, at Barret's esophagus - prophylaxis of disease progression and dysplasia and adenocarcinoma development. …”
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Machine learning helps reveal key factors affecting tire wear particulate matter emissions by Zhenyu Jia, Jiawei Yin, Tiange Fang, Zhiwen Jiang, Chongzhi Zhong, Zeping Cao, Lin Wu, Ning Wei, Zhengyu Men, Lei Yang, Qijun Zhang, Hongjun Mao

“…Avoiding strenuous driving behaviors (TTF < 400 N, TLF < 400 N), reducing tread temperature (T < 45℃), and minimizing the number of small tread patterns are feasible ways to reduce TWPs.…”
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Assessing remote learning's feasibility: A comprehensive analysis of Philippine public-school teachers’ use of learning management systems and blended learning approaches by Mark Jhon Prestoza

“…An examination of the features of Google Classroom, Google Apps for Education, and Google Docs file templates reveals a wide range of use patterns among instructors, ranging from seldom to regular utilization. …”
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Deep learning model for diagnosis of thyroid nodules with size less than 1 cm: A multicenter, retrospective study by Na Feng, Shanshan Zhao, Kai Wang, Peizhe Chen, Yunpeng Wang, Yuan Gao, Zhengping Wang, Yidan Lu, Chen Chen, Jincao Yao, Zhikai Lei, Dong Xu

“…Results: TNT-Net achieved an area under the curve (AUC) of 0.953 (95 % confidence interval (CI): 0.934, 0.969) on the internal test set and 0.941 (95 % CI: 0.921, 0.957) on the external test set, significantly outperforming traditional deep convolutional neural network models and single-channel swin transformer model, whose AUCs ranged from 0.800 (95 % CI: 0.759, 0.837) to 0.856 (95 % CI: 0.819, 0.881). Furthermore, feature heatmap visualization showed that TNT-Net could extract richer and more energetic malignant nodule patterns. …”
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Detection of Abnormal Symptoms Using Acoustic-Spectrogram-Based Deep Learning by Seong-Yoon Kim, Hyun-Min Lee, Chae-Young Lim, Hyun-Woo Kim

“…These findings demonstrate the effectiveness of spectrogram-based deep learning models in identifying latent patterns within acoustic data and detecting abnormal symptoms. …”
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Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning by Kuat Abzaliyev, Madina Suleimenova, Siming Chen, Madina Mansurova, Symbat Abzaliyeva, Ainur Manapova, Almagul Kurmanova, Akbota Bugibayeva, Diana Sundetova, Raushan Bitemirova, Nazipa Baizhigitova, Merey Abdykassymova, Ulzhas Sagalbayeva

“…In addition, we applied k-means clustering to identify hidden patterns and risk profiles within the dataset. A Random Forest classifier was trained to distinguish between high-risk and low-risk individuals using the same feature set. …”
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Cardiometabolic index predicts cardiovascular events in aging population: a machine learning-based risk prediction framework from a large-scale longitudinal study by Yuanxi Luo, Yuanxi Luo, Zhiyang Yin, Xin Li, Xin Li, Chong Sheng, Ping Zhang, Dongjin Wang, Dongjin Wang, Yunxing Xue

“…Sex-stratified analyses suggested differential predictive patterns between gender subgroups. Given CMI’s robust and consistent predictive capability for stroke outcomes, we developed a machine learning-derived nomogram incorporating five key predictors: age, CMI, hypertension status, high-sensitivity C-reactive protein (hsCRP) and renal function (measured as serum creatinine). …”
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High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing by Antonio García-Garví, Antonio-José Sánchez-Salmerón

“…However, these methods present certain limitations in detecting subtle and non-linear patterns. In this study, we propose a high-throughput screening method based on machine learning, using classifiers that provide a recovery percentage as a measure of treatment effect. …”
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Alternative Splicing of Fibroblast Growth Factor Receptor IgIII Loops in Cancer by Klaus Holzmann, Thomas Grunt, Christine Heinzle, Sandra Sampl, Heinrich Steinhoff, Nicole Reichmann, Miriam Kleiter, Marlene Hauck, Brigitte Marian

“…This paper aims to summarize expression patterns in various tumor types and outlines possibilities for further analysis and application.…”
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Smart Learning Ecosystems beyond 2030 by Gabriella Dodero, Carlo Giovannella, Francesca Pozzi

“…Different teaching objectives, and different teaching patterns to achieve them, were identified; then, a visual tool was developed to categorize them as a possible help for teachers to plan their e-learning courses in accordance with their specific course objectives.x Overall, these contributions show how much the development of SLEs depends on contributions of various natures that must find common ground and ways of integration and, therefore, how useful the vision, the cultural framework and the related guidelines offered by the Timisoara and Troyes declarations are. …”
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Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics by Pavel Ilyushin, Boris Papkov, Aleksandr Kulikov, Konstantin Suslov

“…The algorithm and methods developed to analyze the power consumption patterns of industrial enterprises can be used to develop automatic power consumption management systems.…”
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Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach by Guanjin Wang, Hachem Bennamoun, Wai Hang Kwok, Jenny Paola Ortega Quimbayo, Bridgette Kelly, Trish Ratajczak, Rhonda Marriott, Roz Walker, Jayne Kotz

“…Explanations from EBM, Shapley additive explanations, and local interpretable model-agnostic explanations identified consistent patterns of key influential factors, including questions related to “Feeling Lonely,” “Blaming Herself,” “Makes Family Proud,” “Life Not Worth Living,” and “Managing Day-to-Day.” …”
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Onset of autoimmune hepatitis in children and adolescents considering disease phenotypes by M.B. Dyba

“…The study aimed to analyze the patterns of AIH onset in children and adolescents, considering its phenotypes. ­…”
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“Chatbot Communication” as an Object of Linguistic Research in the System of Digital Communications by S. V. Kiseleva, A. A. Smirnova, N. A. Trofimova

“…The topic is of particular interest to linguists, since the active development of the digital environment leads to the emergence of new means and forms of speech production and speech perception, with their own distinctive features, patterns and rules of construction. …”
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