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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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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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

“…For two of those pipelines, Common Spatial Patterns (CSP) and Short Time Fourier Transform (STFT) were successfully used as feature extraction algorithms where both these algorithms are significantly new for meditation EEG. …”
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The Minimum Spectral Radius of an Edge-Removed Network: A Hypercube Perspective by Yingbo Wu, Tianrui Zhang, Shan Chen, Tianhui Wang

“…For that purpose, it is appropriate to gain insight into the pattern of an optimal solution to the SRMP by means of checking some regular networks. …”
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Business-Model of the Organization in Economy of Knowledge by S. N. Kukushkin

“…The next important feature is connected with the fact that knowledge is not only transferred in the university but it is developed there. …”
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Characteristics and accumulation mode of volcanic rock reservoir of the Fengcheng Formation in the southern of Mahu Sag, Junggar Basin by Xincai YOU, Qi YAN, Mengyao LI, Wenlong DANG, Gang GAO, Xiaobing JIAO, Jun WU, Zhiyuan AN, Lingli ZHU, Yu BAI

“…Objective To clarify the oil and gas accumulation patterns and main controlling factors of the thin weathered crust volcanic rock reservoir at the top of Member 2 of the Fengcheng Formation in the southern Mahu Sag(Manan Sag). …”
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Flow simulation algorithm for gas gathering pipelines of natural gas fields by Yuling LYU, Zhenhe JIANG, Xiaowei LI, Jiakai SHI, Huaping CAO

“…MethodsBy integrating production data from a gas field with multiphase flow theory, hydraulic and thermodynamic calculation models were developed for gas gathering pipelines. A simulation algorithm was then proposed to analyze flow conditions, including fluid patterns, liquid holdup, pressure, and temperature at any cross-section of the pipeline. …”
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Real-Time Object Detection Using Low-Resolution Thermal Camera for Smart Ventilation Systems by Jun-Hee Lee, Eung-Tea Kim

“…To address the scarcity of thermal data, we developed the TOI (Thermal Object Insertion) data augmentation technique, which generates new training data while preserving thermal pattern characteristics. …”
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Comparative evaluation of titanium-prepared platelet-rich fibrin with and without herbal extract: A histological study by Gummaluri Shiva Shankar, Gurumoorthy Kaarthikeyan, Damera Trinath Kishore, Boddeda Anusha, Kodem Tejaswi, Lekkala Sivaram

“…A statistically significant difference was shown in the packeting (p = 0.018) and layered (p = 0.028) patterns of the fibrin network, and there was no statistically significant difference in the scattered (p = 0.749) pattern among the examined groups. …”
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A Wide and Weighted Deep Ensemble Model for Behavioral Drifting Ransomware Attacks by Umara Urooj, Bander Ali Saleh Al-rimy, Mazen Gazzan, Anazida Zainal, Eslam Amer, Mohammed Almutairi, Stavros Shiaeles, Frederick Sheldon

“…To consider the behavioral drifting problem of ransomware attacks, a model should be able to generalize the behavior of significant features comprehensively. Existing solutions were developed by using either a whole attack pattern or a fraction of an attack pattern. …”
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Conv1D-LSTM: Autonomous Breast Cancer Detection Using a One-Dimensional Convolutional Neural Network With Long Short-Term Memory by Mitanshi Rastogi, Meenu Vijarania, Neha Goel, Akshat Agrawal, Cresantus N. Biamba, Celestine Iwendi

“…The developed model has been assessed on on the extracted feature of the primary available dataset consisting of mammograms from over 760 patients. …”
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Engineered wood products for circular construction: a multi-factor evaluation of lamination methods by Dan Bergsagel, Felix Heisel, Jasper Owen, Maxwell Rodencal

“…The research focuses on EWP beam elements following three sequential studies: (1) an evaluation of interlocking surface patterns to improve non-adhesive lamination in two stages, interlocking pattern shapes (17 samples) and interlocking depths (24 samples); (2) an evaluation of structural performance of different lamination methods in bending (glue (GL), metal nails (MN), wood nails (WN), plastic straps (PS)) for a 4.5 ft two-layer beam formed of 2 × 4 lumber feedstock (using a 1/16in deep square grooved pattern and flat interface for reference (five samples each)), whereby the grooved interlocking samples with mechanical fasteners performed considerably well in both modulus of rupture (MOR) and modulus of elasticity (MOE) compared to the reference flat adhesive lamination method, 31% and 19% lower, respectively; and (3) a comparison of qualitative and quantitative parameters on structure, economy, environment and circularity. …”
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Transferring R&D Outputs to Industry: Strategies of R&D Organizations by Stanislav Zaichenko

“…Depending on the degree of novelty of the transferred technologies there are three identified segments of scientific organizations manifesting one of the following behavioral patterns: innovation (introduction of developments that are unique both in  domestic and foreign markets, and feature qualitatively new characteristics matching or surpassing current standards), modification (introduction of technologies new to the implementing organization, although not to the market and adaptation (modification and improvement of technology previously used by the implementing organization). …”
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Quantitative characteristics of microstructure of shale reservoirs with different lithofacies in Dongying Sag， Jiyang Depression by NI Liangtian, DU Yushan, JIANG Long, YANG Feng, SUN Hongxia, FENG Mingshi, LIU Zupeng, LÜ Shichao, WANG Yunhe, LI Weizhong, LI Zhongxin

“…According to the differences in the connectivity efficiency and development of various micro-fractures， the matrix-type laminated shale exhibits a complex pore-fracture network connectivity pattern composed of bedding fractures， grain-edge fractures， intercrystalline fractures， intergranular pores， and intercrystalline pores （dissolution pores）， demonstrating high-efficiency storage spaces. …”
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Identification of genes related to fatty acid metabolism in type 2 diabetes mellitus by Ji Yang, Yikun Zhou, Jiarui Zhang, Yongqin Zheng, Jundong He

“…Immune cells, including dendritic cells, eosinophils, and neutrophils, may play a role in the progression of T2DM. ceRNA and drug-target network analysis revealed potential interactions, such as RP11-miR-29a-YTHDF3 and BPA-MSANTD1. The expression patterns of the feature genes, except for YTHDF3, were consistently upregulated in T2DM, aligning with trends observed in the training set. …”
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Research on hybrid strategy Particle Swarm Optimization algorithm and its applications by Jicheng Yao, Xiaonan Luo, Fang Li, Ji Li, Jundi Dou, Hongtai Luo

“…HSPSO is evaluated using CEC-2005 and CEC-2014 benchmark functions, demonstrating superior performance over standard PSO, Dynamic Adaptive Inertia Weight PSO (DAIW-PSO), Hummingbird Flight patterns PSO (HBF-PSO), Butterfly Optimization Algorithm (BOA), Ant Colony Optimization (ACO), and Firefly Algorithm (FA). …”
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A Comparative Study of Lesion-Centered and Severity-Based Approaches to Diabetic Retinopathy Classification: Improving Interpretability and Performance by Gang-Min Park, Ji-Hoon Moon, Ho-Gil Jung

“…Transfer learning from NMC to APTOS notably improved severity classification, achieving performance gains of 15.2% in mild cases and 66.3% in severe cases through feature fusion using Bidirectional Feature Pyramid Network (BiFPN) and Feature Pyramid Network (FPN). …”
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Mapping gender networks of smartphone addiction and academic procrastination: a network analysis study by Lu Song, Zhilin Liu, Yujia Yang, Shuangshuang Yuan

“…The findings reveal the complexity of gender differences in behavioral patterns and psychological mechanisms, moving beyond the limitations of previous research that primarily focused on mean-level differences. …”
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Intelligent prediction of thyroid cancer in China based on GBD data and hospital electronic medical records: disease burden analysis combined with multiple machine learning models by Lina Yang, Shixia Zhang, Xinguo Wang, Jianjun Yang, Mengya Chen

“…This study aims to conduct an in-depth analysis of the disease burden pattern and future trends of thyroid cancer in China, and constructed an intelligent prediction model in combination with hospital electronic medical record data. …”
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Study of influence of boron and rare-earth metals on impact elasticity by N. V. Nevar, Ju. N. Fasevich

“…There are determined the types of the modifying agents, most efficiently affecting on such feature as resistance to brittle failure of the developed alloys.…”
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