Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey by Kamal Taha, Paul D. Yoo, Chan Yeun, Aya Taha

“…It proposes a two-pronged approach: a thorough analysis of current algorithms and a novel, hierarchical taxonomy for precise categorization. The taxonomy is based on a tri-level hierarchy, starting with the methodology category and narrowing down to specific techniques. …”
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Entre sacrificios y esperanzas: análisis de conflictos socioambientales en Bogotá desde una perspectiva de ecología política by Mariluz Nova Laverde, Milton Piñeros Fuentes, Jaime Edison Rojas Mora

“…This article examines socio-environmental conflicts through the lens of political ecology, focusing on the disconnection within the society-nature dialectic and the dualistic, hierarchical understanding of urban-rural dynamics. The study is set in Bogotá, specifically in the Pasquillita village, a territory affected by the Doña Juana landfill and urban expansion. …”
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Ultraviolet Spectroscopy Used to Fingerprint Five Wild-Grown Edible Mushrooms (Boletaceae) Collected from Yunnan, China by Yan Li, Ji Zhang, Tao Li, Tianwei Yang, Yuanzhong Wang, Honggao Liu

“…In this paper, UV spectra of different Boletaceae mushrooms with the aid of partial least squares discriminant analysis (PLS-DA) and hierarchical cluster analysis (HCA) were shown to be a practical and rapid method for discrimination purpose. …”
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Modulation of the electromagnetic shielding effectiveness through micro/macrostructure design for electronic packaging by Lizhi Guan, Jingbo Fan, Zhi Kai Ng, Edwin Hang Tong Teo, Hortense Le Ferrand

“…Although electronic packaging solutions with excellent EMI SE exist, there is limited research on how hierarchical design can modulate the EMI SE of an electronic packaging material on demand. …”
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Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction by CHEN Dengkai, XIAO Yao, XIAO Jianghao, ZHOU Yao, YANG Cong

“…Secondly, to tackle the problem of filtering multidimensional indicator datasets supported by small samples, an indicator clustering reduction algorithm is proposed based on hierarchical clustering-rough set information entropy(HC-CEBARKNC) which compared to K-means clustering and genetic algorithm. …”
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Zero-shot reranking with dense encoder models for news background linking by Marwa Essam, Tamer Elsayed

“…Our results show that using a hierarchical aggregation of sentence-level representations generates a good semantic representation of news articles, which is then integrated with lexical matching to achieve a new state-of-the-art solution for the problem. …”
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Spatially Explicit Assessment of Ecosystem Resilience: An Approach to Adapt to Climate Changes by Haiming Yan, Jinyan Zhan, Bing Liu, Wei Huang, Zhihui Li

“…Drawing on principles of the ecosystem resilience highlighted in the literature, we built on the theory of dissipative structures to develop a conceptual model of the ecosystem resilience of forests. A hierarchical indicator system was designed with the influencing factors of the forest ecosystem resilience, including the stand conditions and the ecological memory, which were further disaggregated into specific indicators. …”
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The relationship between psychological capital and athlete burnout: the mediating relationship of coping strategies and the moderating relationship of perceived stress by Xiaomei Yu, Suxuan Xing, Yang Yang

“…Methods A cross-sectional survey was conducted among 344 athletes, and data were analyzed using SPSS Statistics 25.0 and PROCESS Macro v4.1 for hierarchical stepwise regression and moderated mediation analysis. …”
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Interventions to address mealtime support needs in dementia: A scoping review. by Lígia Passos, João Tavares, Melissa Batchelor, Daniela Figueiredo

“…However, it is crucial to conduct studies that evaluate the impact on administrators, to comprehend the viewpoints of various hierarchical levels within an organization regarding challenges associated with mealtime. …”
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Spatially Correlated Network Structure and Influencing Factors of Carbon Emission Efficiency in the Power Industry: Evidence from China by Baojun Sun, Taiwen Feng, Mingjing Du, Yuqing Liang, Tianbao Feng

“…The results show that (1) the national CEEP is gradually increasing, while the CEEP gap between provinces is widening; (2) the overall network size shows an increasing trend, but the hierarchical structure is somewhat fixed; (3) the central province of a network has a high degree of consistency with the geographically central province, but the spatial spillover effect of the central node provinces on the peripheral provinces is not sufficient; and (4) differences in geographic proximity, energy intensity, and technical level of power generation significantly affect the formation of spatially correlated networks in the CEEP.…”
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Exploring the Relationship Between Residential Perceptions and Satisfaction: A Demographic Analysis in Wuhan, China by Mengyao Hong, Hongrui Li, Wei Wei, Jialing Chao, Junnan Xia

“…This study highlights demographic differences in perception and satisfaction levels, offering insights into the hierarchical relationships among resident perceptions and their impact pathways on satisfaction. …”
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GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series by Khalid ElHaj, Dalal Alshamsi

“…The modular clustering framework utilizes hierarchical agglomerative clustering and a custom hydrology-specific distance function. …”
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IDHOCNET: A Novel ID Centric Architecture for Ad Hoc Networks by Shahrukh Khalid, Athar Mahboob, Choudhry Fahad Azim, Aqeel Ur Rehman

“…Presently, such networks have been realized by various adaptations in Internet Protocol (IP) architecture which was developed for infrastructure oriented hierarchical networks. The IP architecture has its known problem and issues even in infrastructure settings, like IP address overloading, mobility, multihoming, and so forth. …”
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Posterior AD-Type Pathology: Cognitive Subtypes Emerging from a Cluster Analysis by Antonella Cappa, Nicoletta Ciccarelli, Eleonora Baldonero, Marialuisa Martelli, Maria Caterina Silveri

“…By a principal component analysis performed on a wide range of neuropsychological tasks, 15 variables were obtained that loaded onto five main factors (memory, language, perceptual, visuospatial, and calculation) which entered a hierarchical cluster analysis. Results. Four clusters of cognitive impairment emerged: visuospatial/perceptual, memory, perceptual/calculation, and language. …”
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Massive Clusters and OB Associations as Output of Massive Star Formation in <i>Gaia</i> Era by Ignacio Negueruela

“…The emerging view depicts star formation as a hierarchical process, which predominantly occurs along filamentary structures in the interstellar medium. …”
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In-Depth Learning Layout and Path Optimization of Energy Service Urban Distribution Sites under e-Commerce Environment by Kun Wang, Ki-Hyung Bae

“…This paper fully considers the characteristics of the network operation mode of the energy service city distribution site and establishes an optimization model for the location selection and vehicle routing of the distribution center with the lowest total system cost under the simultaneous delivery service mode; based on the hierarchical solution strategy, a combination of deep learning is designed. …”
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Preferences for Attention-Deficit/Hyperactivity Disorder (ADHD) Non-Stimulant Treatment Characteristics Among Children and Adolescents With ADHD and Their Caregivers by Emuella Flood, Kavita Gajria, Vanja Sikirica, Paul Hodgkins, M. Haim Erder, Frank Lopez, Daniel Connor

“…Ordinary least-squares and hierarchical Bayes regression using Sawtooth Software were used to calculate utilities, importance ratings, and preferences. …”
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Research on construction technology of artificial intelligence security knowledge graph by Xiaochen SHEN, Yinhui GE, Bo CHEN, Ling YU

“…As a major strategic technology, artificial intelligence is developing rapidly while bringing numerous security risks.Currently, security data for artificial intelligence is collected from disparate sources and lacks standardized description, making it difficult to integrate and analyze effectively.To address this issue, a method for constructing an artificial intelligence security knowledge graph was proposed.The knowledge graph was used to integrate the current multi-source heterogeneous data, scientifically represent complex relationships of the data, mine potential value and form a domain knowledge base.In view of the diversity and correlation of concepts in the field of artificial intelligence security, a hierarchical structure of artificial intelligence security ontology was proposed to make the ontology structure more diversified and extensible, provide rule constraints for the process of knowledge graph construction, and form an artificial intelligence security knowledge base.To effectively utilize feature information and reduce noise interference, named entity recognition algorithm based on BiLSTM-CRF and relationship extraction algorithm based on CNN-ATT were adopted for information extraction.The constructed artificial intelligence security dataset was then used to verify the performance of the algorithm.Based on the proposed ontology, the multi-level visualization results of the artificial intelligence security knowledge graph were presented in 3D effect, effectively connecting the multi-source security data information.The experimental results show that the constructed knowledge graph meets the multi-dimensional evaluation criteria of accuracy, consistency, completeness, and timeliness, providing knowledge support for artificial intelligence security research.Overall, the proposed method can help address the complexity and heterogeneity of security data in artificial intelligence and provide a more standardized, integrated approach to knowledge representation and analysis.…”
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An Improved Control Strategy for Managing Reactive Power and Reducing Capacity of Interlinking Converters by Participating of Electric Vehicles in Hybrid AC/DC Microgrids by Abbas Safari, Hesam Rahbarimagham

“…In this work, a dc voltage droop based hierarchical control is introduced for bidirectional power transfer by an interface converter in a hybrid AC/DC microgrid. …”
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Toward an Understanding of the Madden-Julian Oscillation: With a Mesoscale-Convection-Resolving Model of 0.2 Degree Grid by Masanori Yamasaki

“…The properties and behaviors of large-scale convective system (LCS), synoptic-scale convective system (SCS), mesoscale convective system (MCS), and mesoscale convection (MC), which constitute the hierarchical structure of the MJO, are also examined. …”
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