TBM shield mud cake prediction model based on machine learning by Qi Zhang, Peng Xu, Jing Zhang, Zhao Yang, Yu Li, Xintong Kong, Xiao Yuan

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Driving factors of fragmentation in urban landscapes: Local contributions, spatial relationships, and causal effects by Simin Jiang, Fei Feng, Xinna Zhang, Chengyang Xu, Baoquan Jia, Raffaele Lafortezza

“…Understanding the drivers of fragmentation is crucial for developing sustainable urban planning strategies. This study investigates the spatial patterns and driving mechanisms of landscape fragmentation in Nanchang, China, a rapidly urbanizing city. …”
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An Approach for Predicting the Shape and Size of a Buried Basic Object on Surface Ground Penetrating Radar System by Nana Rachmana Syambas

“…GPR data of many basic objects (with circular, triangular, and rectangular cross-section) are classified and extracted to generate data training model as a unique template for each type of basic object. The pattern of object under test will be known by comparing its data with the training data using a decision tree method. …”
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A Synoptic- and Remote Sensing-based Analysis of a Severe Dust Storm Event over Central Asia by Parya Broomandi, Kaveh Mohammadpour, Dimitris G. Kaskaoutis, Aram Fathian, Sabur F. Abdullaev, Vladimir A. Maslov, Amirhossein Nikfal, Ali Jahanbakhshi, Bakhyt Aubakirova, Jong Ryeol Kim, Alfrendo Satyanaga, Alireza Rashki, Nick Middleton

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Young People's Housing Opportunity in Post-reform China by Weijing Deng

“…This interpretation was substantiated by the divergent patterns of perception and behavior regarding intergenerational transfer for home ownership that were found between parents with either an urban or a rural background. …”
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Decreased neuronal and increased endothelial fractalkine expression are associated with neuroinflammation in Parkinson’s disease and related disorders by Yaping Chu, Ashley S. Harms, Ashley Boehringer, Jeffrey H. Kordower

“…IntroductionChronic neuroinflammation is a persistent feature of individuals with Parkinson’s disease (PD). …”
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Distribution characteristics and origin analysis of iron and manganese in groundwater in Beijing Plain Area by Jiji CHEN, Lei TAO, Baoxian LIU, Qing YANG, Yue XI, Sushi XU, Yuanyuan CHEN, Hongwei JING

“…Groundwater is an important part of Beijing’s water supply, excessive ferric and manganese in groundwater will limit the development and utilization of water resources. The spatial distribution, geochemical characteristics, and sources of ferric and manganese in groundwater were analyzed based on X-ray fluorescence spectrometry, iron and manganese step extraction method, geological statistical analysis, and GIS spatial feature analysis. …”
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Higher-order topology for collective motions by Zijie Sun, Tianjiang Hu

“…In this paper, we propose a specified higher-order topology, rather than the pairwise individual-to-individual pattern, to enable optimal responsiveness-persistence trade-off in collective motion. …”
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Single-cell transcriptomics reveal the prognostic roles of epithelial and T cells and DNA methylation-based prognostic models in pancreatic cancer by Jing Du, Yaqian Zhao, Jie Dong, Peng Li, Yan Hu, Hailang Fan, Feifan Zhang, Lanlan Sun, Dake Zhang, Yuhua Zhang

“…Treatment predictions and nomograms were developed for clinical use. Conclusions scRNA-seq and DNAm data integration enabled the creation of predictive models based on epithelial and T cell-specific methylation patterns, offering robust prognosis prediction for PDAC patients.…”
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Identifying trade-offs and synergies among land use functions using an XGBoost-SHAP model: A case study of Kunming, China by Kun Li, Junsan Zhao, Yongping Li, Yilin Lin

“…Finally, a self-organizing feature mapping network (SOM) was developed to identify LUF clusters. …”
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Smart wearable sensor-based model for monitoring medication adherence using sheep flock optimization algorithm-attention-based bidirectional long short-term memory (SFOA-Bi-LSTM) by Yasser Alatawi, Palanisamy Amirthalingam, Narmatha Chellamani, Manimurugan Shanmuganathan, Mostafa A. Sayed Ali, Saleh Fahad Alqifari, Vasudevan Mani, Muralikrishnan Dhanasekaran, Abdulelah Saeed Alqahtani, Ahmed Aljabri

“…Due to its ability to continuously monitor a patient's MA behavior, the recent focus on sensor technology for MA monitoring is a promising development. The primary objective of this research is to implement sensor devices/smart wearables powered by advanced deep learning (DL) techniques to evaluate complex data patterns effectively and make accurate predictions. …”
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Assessing Fire Regimes in the Paraguayan Chaco: Implications for Ecological and Fire Management by Cristina Vidal-Riveros, William Jefferson Watler Reyes, Marie Ange Ngo Bieng, Pablo Souza-Alonso

“…This study analyzed the fire regime in the highly diverse Paraguayan Chaco, focusing on different aspects of fire patterns, including spatial (area burned) and temporal (frequency) aspects and magnitude (severity). …”
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Semi-Automatic Integrated Segmentation Approaches and Contour Extraction Applied to Computed Tomography Scan Images by B. Dhalila S. Y. Khoodoruth, Harry C. S. Rughooputh, Wilfrid Lefer

“…In this article, we also develop a new methodology for a computational pipeline that uses bilateral filtering, diffusion properties, watershed, and filtering with mathematical morphology operators for the contour extraction of the lesion in the feature available based mainly on the gradient function. …”
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Remote-sensing technology in mapping socio-economic divergence of Europe by Mikhaylov Andrey, Mikhaylova Anna, Alsynbaev Kamil, Bryksin Vitaliy, Hvaley Dmitry

“…The study concludes with four patterns derived from a combined methodology of socio-economic indicators and remote-sensing of night-time lighting.…”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…To this end, we introduce SimCLR-GRU, a novel ensemble architecture that integrates SimCLR-based contrastive learning for feature extraction and a GRU module to capture sequential behavioural patterns. …”
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The non-utilitarian objects from the initial Upper Paleolithic Ushbulak site in eastern Kazakhstan by Lidiya V. Zotkina, Anton A. Anoykin, Vladimir M. Kharevich, Galina D. Pavlenok

“…In northern Central Asia this process is illustrated by the appearance and distribution of personal ornaments (pendants, beads, patterned items), as well as by evidence for the use of natural pigments and ritual activities. …”

Mitochondrial ROS and HIF-1α signaling mediate synaptic plasticity in the critical period. by Daniel Sobrido-Cameán, Bramwell Coulson, Michael Miller, Matthew C W Oswald, Tom Pettini, David M D Bailey, Richard A Baines, Matthias Landgraf

“…As developing networks transition from spontaneous irregular to patterned activity, they undergo plastic tuning phases, termed "critical periods"; "critical" because disturbances during these phases can lead to lasting changes in network development and output. …”
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Induction of more severe central sensitization in a medication overuse headache model mice through active ingestion of rizatriptan by Zhenjie Ma, Chenhao Li, Wenhao Bai, Wei Xie, Mingjie Zhang, Han Xiao, Cancan Chen, Yang Li, Wenwen Zhang, Deqi Zhai, Yingyuan Liu, Dengfa Zhao, Wenjing Tang, Zhao Dong, Ruozhuo Liu, Shengyuan Yu

“…Therefore, we established a novel MOH mouse model with the active ingestion of rizatriptan (RIZ) to better simulate the clinical characteristics of MOH and explore changes in brain activation patterns. Methods C57BL/6 J mice received intraperitoneal injections of nitroglycerin (NTG, 10 mg/kg) every other day. …”
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Evaluation of polyester high-tenacity fabric and carbon nanotube reinforcements for improving flexural response in concrete beams by M. S. El-Feky, Amr H. Badawy, Khaled Mohamed Seddik, Sarah Yahia

“…This enhanced performance was credited to the development of multiple cracking patterns in the textile-reinforced panels. …”
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Dynamic Text Augmentation for Robust Sentiment Analysis: Enhancing Model Performance With EDA and Multi-Channel CNN by Komang Wahyu Trisna, Jinjie Huang, Yuanjian Chen, I Gede Juliana Eka Putra

“…The MCNN architecture effectively captures local patterns in text using multiple filter sizes, enabling comprehensive feature extraction with low computational overhead. …”
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