A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery by Biao Zhang, Zhichao Wang, Boyi Liang, Liguo Dong, Zebang Feng, Mingyang He, Zhongke Feng

“…Additionally, compared to the DMSPN method using only neighborhood information and pattern filtering, STECR-F’s performance improved by 5.86% and 6.42%, respectively. …”
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Mechanical Characteristics of Grillage Root Foundation for High-Voltage Tower Under Horizontal Conditions by Zehui Ma, Junjie Wang, Xuefeng Huang, Kun Sun, Senlin Yang, Jun Yuan

“…It was employed to comparatively analyze the load–displacement curves, changes in internal forces of steel components, and the development patterns of soil cracks around the foundation between traditional grillage foundations and various sizes of grillage root foundations subjected to horizontal loading. …”
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The Influence of Social Media on Student Learning Behavior and Its Effects on Academic Achievement by Hamidah Hamidah, okkita rizan

“…The results reveal a significant shift in students' learning patterns, where platforms like WhatsApp, YouTube, and Instagram are utilized for sharing materials, group discussions, and seeking references. …”
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Deep learning-based research on fault warning for marine dual fuel engines by Lingkai Meng, Huibing Gan, Haisheng Liu, Daoyi Lu

“…The model integrated convolutional neural networks (CNN), bidirectional long short-term memory (BiLSTM) networks, and Kolmogorov-Arnold networks (KAN) to perform feature extraction from multi-dimensional time series data, autonomously identify temporal patterns within the data, and directly learn parameterized nonlinear activation functions, respectively. …”
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The interpretation of China’s economic modernization from the broad Marxist political economy by Guocheng Xiang, Jingjing Liu, Yuxuan Yang

“…Design/methodology/approach – Following this evolutionary line – from modes of production to the general economic development mechanism and then to patterns of economic operation and development – this paper employs the principal contradiction analysis method to offer an interpretation of China’s economic modernization from the broad Marxist political economy perspective. …”
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Media Manipulation to Enhance In Vitro Pitcher Formation in Nepenthes mirabilis (Lour.) Druce for Microfloriculture Development by Sugiyono Sugiyono, Anindya Puspaning Tyas, Dea Yuniar Indikasuri, Sri Lestari, Paul A Davison, Rendie Prasetyo

“…In vitro pitcher-forming Nepenthes mirabilis will increase the attractiveness and market value of microfloriculture products. Two experiments have been carried out to stimulate in vitro pitcher formation in N. mirabilis using a completely randomized design (CRD) of a two-factorial treatment pattern with three replicates. …”
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Features of Visual Dysfunctions in Patients with Primary Hypothyroidism and Thyrotoxicosis by V. G. Likhvantseva, V. N. Trubilin, E. V. Korosteleva, S. G. Kapkova, V. A. Vygodin

“…In the analyzed groups, high average group indices of the maximum corrected visual acuity were established, which allows us to speak about the safety of the photopic (cone) component of the visual analyzer.Conclusion. The pattern of photosensitivity disorders, the topography of the location of the loci of local defects revealed by the short-wave infrared perimetry, indicate that the earliest signs of optical neuropathy are manifested at the level of photoreceptors — selectively in the S-cones. …”
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Identification of Ecological Functional Areas and Scenario Simulation Analysis of the Wanjiang Urban Belt from a Trade-Off/Synergy Perspective by Yuchun Wang, Yufeng Ang, Yingying Zhang, Yunfeng Ruan, Bingyi Wang

“…The results revealed that (1) from 1990 to 2020, water yield (WY), soil reservation (SR), and food production (FP) services in Wanjiang Urban Belt increased, whereas carbon storage (CS) and habitat quality (HQ) services decreased. The value of ecosystem services showed a pattern of “high in the south and low in the north”. (2) WY–SR, WY–HQ, HQ–CS, and HQ–SR were synergistic, and the synergistic relationship showed a weakening trend. …”
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A Sociological Study of Monetary Attitudes among Citizens of Tehran by Nahid Abdoli, Asadollah Babaiefard

“…It possessed intrinsic value through its three primary functions: medium of exchange, unit of account, and store of value. …”
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Regional Design by Verena Balz

“…In addition, the analysis identifies patterns in the institutionalisation of regional design by the repetition of practices, adoption in formal policies and enshrinement in dedicated organisations. …”
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Cemented soil-soil interface shear strength evaluation I: Size effect and characteristic experimental size quantization by Jie Zhou, Chengjun Liu, Chao Ban, Zhenming Shi, Junjie Ren, Huade Zhou, Zhong Liu, Yiqun Tang

“…By analyzing the failure properties of cemented soil-soil agglutinate layer and the displacement pattern of material grains, the internal mechanism of size effect on cemented soil-soil interface were proposed. …”
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Correlation Analysis of Vertical Ground Movement and Climate Using Sentinel-1 InSAR by Francesco Pirotti, Felix Enyimah Toffah, Alberto Guarnieri

“…Measurement points (MP) from the EGMS over Italy provided a value for ground vertical movement approximately every 6 days. …”
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FOREST FIRE ANALYSIS FROM PERSPECTIVE OF SPATIAL-TEMPORAL USING GSTAR (p;λ_1,λ_2,…,λ_p) MODEL by Hesty Pratiwi, Nurfitri Imro'ah, Nur'ainul Miftahul Huda

“…We chose the GSTAR model because of its ability to model spatial interactions between locations and temporal change patterns over time. According to NASA FIRMS, the data used in this study were confidence level hotspot data, covering the period from January 2014 to August 2024. …”
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Sport participation as an educational tool and a means of promoting physical, mental, and social well-being by Francesco Sgrò

“…On September 20, 2023, the Italian Parliament approved an amendment to Article 33 of the Italian Constitution, introducing the following reference to the practice of sports: “The Republic recognizes the educational, social, and psychological well-being value of sports activities in all their forms.” …”
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STPam: Software for Intelligently Analyzing and Mining Spatiotemporal Processes Based on Multi-Source Big Data by Rongjun Xiong, Zeqiang Chen, Huiwen Pan, Dongyang Liu, Aiguo Sun, Nengcheng Chen

“…Analyzing and mining spatiotemporal processes refers to the extraction of geographic phenomena from spatiotemporal data and the analysis of available geographic knowledge and patterns. …”
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Seasonal variations and the COVID-19 pandemic: impact on antimicrobial stewardship and antibiotic prescribing in a UK secondary care setting to combat antimicrobial resistance—a pi... by Rasha Abdelsalam-Elshenawy, Nkiruka Umaru, Zoe Aslanpour

“…Using an interrupted time-series analysis, the study examined antibiotic prescribing patterns for respiratory tract infections (RTIs) during the pre-pandemic period of 2019 and the pandemic year of 2020. …”
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A review of papillary breast carcinoma in women attending a breast imaging centre in Johannesburg by Musawenkosi M. Mthombeni, Nasreen Mahomed, Grace Rubin, Sharadini K. Gounden

“…Ultrasound findings indicated irregular mass shapes (mean = 1.53), with hypoechoic patterns significantly associated with PBC (r = 0.40, p = 0.0013). …”
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Identifying inherited metabolic disorders in children: the role of elevated creatine kinase by Merve Yoldaş Çelik, Burcu Köşeci

“…This study aimed to evaluate the diagnostic utility of CK levels in distinguishing IMDs from other etiologies and to identify clinical and biochemical patterns that could facilitate earlier recognition of IMDs. …”
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Predicting dementia from primary care records: A systematic review and meta-analysis. by Elizabeth Ford, Nicholas Greenslade, Priya Paudyal, Stephen Bremner, Helen E Smith, Sube Banerjee, Shanu Sadhwani, Philip Rooney, Seb Oliver, Jackie Cassell

“…Further predictive entities ascertainable from primary care data, such as changes in consulting patterns, were absent from the literature and should also be explored in future studies.…”
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The outcome prediction method of football matches by the quantum neural network based on deep learning by Yang Sun, Hongyang Chu

“…They have enhanced information processing capabilities and potential pattern mining abilities when dealing with vast, high-dimensional, and complex football match data. …”
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