Criminalization of Social Protest: Future research by Carolijn Terwindt

“…This epiloguehighlights four areas for future research: (1) the definition and use of the term ‘criminalization of social protest’and the development of an analytical apparatus; (2) patterns, typologies, and legal strategies of criminalization; (3) the embeddednessof processes of criminalization in the broader political decision-making procedures about natural resources;(4) counter-strategies. …”
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Seiche Dynamics in the Azov Sea Current System by Matishov Gennadiy, Grigorenko Klim

“…Using offshore and onshore surveys at buoy ADCP-stations the separation of the characteristic features of water transport in different areas of the Taganrog Bay was shown. …”
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Intelligent Processing Methods by Veronika V. Tolmanova, Denis A. Andrikov

“…It was demonstrated that the use of the wavelet transform contributed to the identification of significant features in the analyzed data, while stochastic methods provided reliable forecasts based on statistical models. …”
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Methylmap: visualization of modified nucleotides for large cohort sizes by Elise Coopman, Svenn D’Hert, Rosa Rademakers, Wouter De Coster

“…Understanding methylation patterns at the nucleotide level has become pivotal for advancing this field. …”
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Detection and location of EEG events using deep learning visual inspection. by Mohammad Amin Fraiwan

“…This signal contains a number of distinctive waveform patterns that reflect the subject's health state in relation to sleep, neurological disorders, memory functions, and more. …”
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Neuronal adaptation translates stimulus gaps into a population code. by Chun-Wei Yuan, Leila Khouri, Benedikt Grothe, Christian Leibold

“…Neurons in sensory pathways exhibit a vast multitude of adaptation behaviors, which are assumed to aid the encoding of temporal stimulus features and provide the basis for a population code in higher brain areas. …”
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Interpretation of Cultural Landscape Layering and Assessment of Heritage Value of Urban Historical Parks: A Case Study of Xiamen Zhongshan Park by Xufang LI, Xiangpin ZHOU, Feifan WENG

“…In view of this, it is necessary to link the natural and cultural heritage resources in the Park, establish a systematic framework for interpreting the value of heritage, and revitalize the styles and features of historical landscapes.ConclusionThis research examines Xiamen Zhongshan Park as a living cultural landscape heritage, and explores the processes, patterns, and mechanisms of cultural landscape heritage superposition across different periods from a dynamic evolutionary perspective. …”
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A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…This study used pen tablet and fNIRs device to compare writing dynamics and brain activity between ADHD with coexisting ASD and typically developing (TD) children during handwriting patterns. …”
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An Interactive Clustering-Based Visualization Tool for Air Quality Data Analysis by Mahsa Ashouri, Frederick Kin Hing Phoa, Chun-Houh Chen, Galit Shmueli

“…An improved understanding of PM2.5 seasonal patterns can help environmental protection agencies (EPAs) make decisions and develop complex models for controlling the concentration of PM2.5 in different regions. …”
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A novel deep learning approach to field-road semantic segmentation by Bei Wang, Wenze Wang

“…This study presents a deep learning framework that implements a novel semantic segmentation model designed to segment field-road trajectories, addressing the marked differences in spatial characteristics. The developed AI approach integrates transformer and semantic technologies to create an advanced semantic encoder that generates high-quality semantic prior maps and associated mask features. …”
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Integrated Wavelet-Grey-Neural Network Model for Heritage Structure Settlement Prediction by Yonghong He, Pengwei Jin, Xin Wang, Shaoluo Shen, Jun Ma

“…Finally, a wavelet reconstruction fusion algorithm is developed to achieve the collaborative optimization of dual-channel prediction results. …”
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Sedimentary characteristics and influencing factors of steep slope platform-margin reefs: A case study of Changxing Formation in Kaijiang-Liangping Trough in northeastern Sichuan B... by HUANG Yuxuan, CHEN Xu, WU Saijun, WEI Junhong, WANG Jingyuan

“…Gentle and steep slope platform-margin reefs are well-developed in the Changxing Formation in the Kaijiang-Liangping Trough in the northeast Sichuan Basin. …”
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An interpretable coupled model (SWAT-STFT) for multispatial-multistep evapotranspiration prediction in the river basin by Zhonghui Guo, Chang Feng, Liu Yang, Qing Liu

“…Additionally, the coupled model's SSTI leveraged model-internal attention weights to provide new insights into further understanding watershed ET spatiotemporal mechanisms. The feature global interpretation results revealed that meteorological features served as ET dominant drivers in time-varying features (48 % importance), followed by land use features (35 %), while soil features (64 %) dominated static features. …”
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DTCMMA: Efficient Wind-Power Forecasting Based on Dimensional Transformation Combined with Multidimensional and Multiscale Convolutional Attention Mechanism by Wenhan Song, Enguang Zuo, Junyu Zhu, Chen Chen, Cheng Chen, Ziwei Yan, Xiaoyi Lv

“…Nevertheless, when dealing with long wind-power sequences, their quadratic computational complexity (O(L²)) leads to low efficiency, and their global attention mechanism often fails to capture local periodic features accurately, tending to overemphasize redundant information while overlooking key temporal patterns. …”
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Mapping Urban Villages in Beijing–Tianjin–Hebei Core Cities Through a Dual-Stage Fusion of Individual Building Footprints and Glimmer Imagery by Jianqiang Hu, Yuheng Fu, Chaoqun Zhang, Manchun Li, Bingbo Gao, Qiancheng Lv, Jing Yang, Ziyue Chen

“…Accelerated urbanization has led to the widespread emergence of informal urban settlements, particularly urban villages (UVs), posing significant challenges to social equity, public welfare, and sustainable urban development. Current research on UV identification often relies solely on high-resolution satellite imagery, neglecting the unique spatial patterns and socioeconomic characteristics of UVs, thus limiting the effective distinction between UVs and other confusing land-use types. …”
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3D mesh segmentation of historic buildings for architectural surveys by Borja Javier Herráez, Eduardo Vendrell

“…The developed method has proved to be effective for feature detection and suitable for inclusion in architectural surveying applications.…”
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DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images by Yuan Ma, Zhaojin Li, Bo Wu, Ran Duan

“…This semantic information reveals underlying features and patterns, offering valuable scientific insights. …”
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Comprehensive Analysis to Reveal Amino Acid Metabolism-Associated Genes as a Prognostic Index in Gastric Cancer by Gangjun Zhao, Mi Wu, Qiuwen Yan

“…We developed a scoring system (AAM score) based on 4 AAM gene expressions to measure the AAM patterns of each patient. …”
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Exploring AI Ethics Syllabi Through NLP Cluster Analysis by Kerrie Hooper, Stephanie Lunn

“…Numerous professional organizations, such as IEEE have developed AI ethics guidelines. Additionally, academia is essential for fostering innovation and developing gifted people who work in both the ethical and technical spheres. …”
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Multisite study using a customised NLP model to predict disposition in the emergency department: protocol paper by Hamed Akhlaghi, Sam Freeman, Isuru Ranapanada, Md Ali Hossain, Kogul Srikandabala, Damminda Alahakoon, Md Anisur Rahman

“…Generative artificial intelligence, along with a medical dictionary, will be employed to augment and contextually reconstruct triage notes to disambiguate and improve linguistic quality. Text features will be extracted, and cluster analysis will be performed on the extracted topics and text features to identify distinct patterns.…”
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