Environmental Responsibility, Active Social Learning, and Political Action by David Hayes

“…Links will be made throughout between environmental issues, economic development and social and environmental justice. Another key feature of Green Criminology is the way in which it seeks to align with environmental activism, and an account will be given here of ethnographic research into a contemporary environmental protest movement, the 'anti-fracking' movement. …”
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Self-staging on the Himalayan trails: online storytelling videos as a medium for young Nepalese people to discover trekking by Pierre Dérioz, Philippe Bachimon, Pranil Kumar Upadhayaya

“…Combined, they have become a common feature of contemporary ‘connected’ tourism, a major producer and consumer of images. …”
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Assessing the Level of Consumption by Children in Households by K. V. Kuznetsov

“…At the same time, it is necessary to take into account possible cross-country features of consumption financing: the availability and development of medicine and education. …”
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Bi-branch Neural Network for Urban Functional Zone Mapping: Combining Remote Sensing Imagery and Point-of-Interest Data by L. Ying, X. Chen, X. Chen, X. Chen, X. Chen, J. Zhao, Y. Zhang, H. Sun, W. Tu, W. Tu, W. Tu, W. Tu

“…The findings suggest that combining remote sensing imagery with contextual POI density image offers a powerful framework for more precise, context-aware UFZ classification, with implications for urban planning, smart city development, and sustainable resource management.…”
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Single-cell Analysis Highlights Anti-apoptotic Subpopulation Promoting Malignant Progression and Predicting Prognosis in Bladder Cancer by Linhuan Chen, Yangyang Hao, Tianzhang Zhai, Fan Yang, Shuqiu Chen, Xue Lin, Jian Li

“…Cellchat was used to infer intercellular communication patterns. Co-expression analysis identified co-expression modules of the anti-apoptotic subpopulation. …”
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Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning by Jakub Horvath, Pavel Jedlicka, Marie Kratka, Zdenek Kubat, Eduard Kejnovsky, Matej Lexa

“…Positional analysis identified a mixture of interesting features, many of which had a preferred absolute position within the LTR and/or were biologically relevant, such as a centrally positioned TATA-box regulatory sequence, and TG..CA nucleotide patterns around both LTR edges. …”
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The Cortical Spatial Responses and Decoding of Emotion Imagery Toward a Novel fNIRS-Based Affective BCI by Xiaopeng Si, Yumeng Han, Sicheng Li, Shuai Zhang, Dong Ming

“…Taken together, by proposing the emotion imagery fNIRS paradigm, this work could shed light on the development of feature non-invasive BCI.…”
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Evaluating the effects of volume censoring on fetal functional connectivity by Jung-Hoon Kim, Josepheen De Asis-Cruz, Kevin M. Cook, Catherine Limperopoulos

“…Abstract Advances in neuroimaging have enabled non-invasive investigation of fetal brain development in vivo. Resting-state functional magnetic resonance imaging (rs-fMRI) has provided critical insights into emerging brain networks in fetuses. …”
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Research and analysis of differential gene expression in CD34 hematopoietic stem cells in myelodysplastic syndromes. by Min-Xiao Wang, Chang-Sheng Liao, Xue-Qin Wei, Yu-Qin Xie, Peng-Fei Han, Yan-Hui Yu

“…They may also guide the development of precise and effective treatments, such as targeted interventions directed against these genes.…”
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Earth Observation Data to Support Environmental Justice: Linking Non‐Permitted Poultry Operations to Social Vulnerability Indices by Mirela G. Tulbure, Júlio Caineta, Brooke Cox, Stephen V. Stehman, Ayse Ercumen, Rebecca Witter, Ryan Emanuel, Dana E. Powell, Kemp Burdette, Sherri White‐Williamson, Shea Tuberty

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Genome-wide identification, transcriptional profiling, and miRNA-binding site analysis of the LBD gene family in the camphor tree by Jiaqi Zhang, Luyang Shan, Haoran Qi, Haoran Qi, Caihui Chen, Yongda Zhong, Meng Xu

“…We systematically identified 40 LBD genes through whole-genome analysis and characterized their structural features, evolutionary relationships, and expression patterns. …”
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Synchrotron-based X-ray 3D phase contrast imaging and analysis of transmural myocardial tissue from heart failure patients by Nikola Skreb, Filip Loncaric, Kan Yan Chloe Li, Anne Bonnin, Hector Dejea, Patricia Garcia-Canadilla, Ivana Ilic, Hrvoje Gasparovic, Davor Milicic, Bart Bijnens, Andrew C. Cook, Ivo Planinc, Maja Cikes

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Advancing the EcoVeg approach as a terrestrial ecosystem typology: From global biomes to local plant communities by Don Faber‐Langendoen, David A. Keith, Javier Loidi, Eileen H. Helmer, Wolfgang Willner, Gonzalo Navarro, John Hunter, Changcheng Liu, Reginald T. Guuroh, Patricio Pliscoff

“…The EcoVeg approach was used to develop the International Vegetation Classification (IVC) and various national classifications, which integrate patterns of vegetation growth form, structure, and floristics with ecological and biogeographic drivers at multiple spatial scales, from global formations to local plant communities. …”
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Hybrid Graph Representation and Learning Framework for High-Level Synthesis Design Space Exploration by Pouya Taghipour, Eric Granger, Yves Blaquiere

“…This paper introduces a novel hybrid graph representation and learning framework under a multi-task setting, featuring two distinct types of CDFGs derived from two different sources. …”
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Atypical hierarchical brain connectivity in autism: Insights from stepwise causal analysis using Liang information flow by Shan Sun, Fei Wang, Fen Xu, Yufeng Deng, Jiwang Ma, Kai Chen, Sheng Guo, X. San Liang, Tao Zhang

“…These disruptions were detected at multiple hierarchical levels, indicating changes in communication patterns across brain regions. By leveraging features of hierarchical causal connectivity, we achieved high classification accuracy between ASD and healthy individuals. …”
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Exploring family physicians’ experiences with electronic prescribing platforms in primary healthcare centers in Hail, Saudi Arabia: a qualitative study by Bader Alshoumr, Abdullah Alkhalaf, Hend Alkwai, Yazed Alsowaida, Ghaliah Alfehaid, Badr Alnasser

“…Physicians preferred to be continuously updated about new information and features and suggested the incorporation of artificial intelligence into the portal. …”
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Early Diabetic Retinopathy Detection from OCT Images Using Multifractal Analysis and Multi-Layer Perceptron Classification by Ahlem Aziz, Necmi Serkan Tezel, Seydi Kaçmaz, Youcef Attallah

“…Multifractal features, extracted using a box-counting approach, provide quantitative descriptors that reflect the structural irregularities of retinal tissue associated with pathological changes. …”
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A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards by Arthur Gonsales da Silva, Arthur Gonsales da Silva, Roger Pinho de Oliveira, Caio de Oliveira Bastos, Caio de Oliveira Bastos, Elena Almeida de Carvalho, Bruno Duarte Gomes

“…In this study, we present the development of a hybrid machine learning-based tool suitable for deployment on mobile devices. …”
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Comparison and Evaluation of Rain Gauge, CMORPH, TRMM PR and GPM DPR KuPR Precipitation Products over South China by Rui Wang, Huiping Li, Hao Huang, Liangliang Li

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Resource potential and extraction technique design for helium in coal measures by Lei WANG, Maoyin TANG

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