Hypothesis‐Driven Research on Multiple Stressors: An Analytical Framework for Stressor Interactions by Iris Madge Pimentel, Dania Albini, Arne J. Beermann, Florian Leese, Samuel J. Macaulay, Christoph D. Matthaei, James A. Orr, Jeremy J. Piggott, Ralf B. Schäfer

“…Statistical models are commonly used to evaluate the statistical significance of interaction terms. …”
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THE NORTHERN TERRITORIES OF WESTERN SIBERIA: DEMOGRAPHIC TRENDS AND GROWTH PARADOXES by Andrei G. Shelomentsev, Vladimir M. Kurikov, Kseniya S. Goncharova, Alina V. Istratii

“…Meanwhile, both regions exhibit similar changes in the age and gender structure of their populations and a shift in settlement patterns between urban and rural areas. …”

Geospatial Clustering in Smart City Resource Management: An Initial Step in the Optimisation of Complex Technical Supply Systems by Aliaksey A. Kapanski, Roman V. Klyuev, Aleksandr E. Boltrushevich, Svetlana N. Sorokova, Egor A. Efremenkov, Anton Y. Demin, Nikita V. Martyushev

“…However, without a clear understanding of the network structure and water consumption patterns, addressing these challenges becomes significantly more complex. …”
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A Review of Multiscale Interaction Mechanisms of Wind–Leaf–Droplet Systems in Orchard Spraying by Yunfei Wang, Zhenlei Zhang, Ruohan Shi, Shiqun Dai, Weidong Jia, Mingxiong Ou, Xiang Dong, Mingde Yan

“…Its coupling mechanisms fundamentally influence pesticide transport pathways, deposition patterns, and drift behavior within crop canopies, forming the foundational basis for achieving intelligent and site-specific spraying operations. …”
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Numerical investigation on damage characteristics of surrounding rocks in the deep underground tunnel subjected to full-face smooth blasting by Hongbo Du, Xiao Huang, Haoran Wang, Yu Wan, Shiyuan Huang, Wenjie Li

“…In light of this, this study employs the LS-DYNA software coupled with a fluid–structure interaction algorithm to simulate full-face smooth blasting excavation in tunnels, accounting for scenarios both with and without in-situ stress. …”
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Noise Pollution Prediction in a Densely Populated City Using a Spatio-Temporal Deep Learning Approach by Marc Semper, Manuel Curado, Jose Luis Oliver, Jose F. Vicent

“…This study explores and evaluates the application of deep learning techniques to predict urban noise levels, using the city of Madrid, Spain, as a case study. …”
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Criteria and Classification Problem in Identifying Old Uighur Personal Letters by Hüsnü Çağdaş Arslan

“…In COUL, letters were evaluated in five main groups, and at the same time, 7 envelopes and the texts on them were examined. …”
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Reliability and Quality of Complex Systems by I.V. Peshkov, V.A. Zhigulin, N.A. Fortunova

“…A method is proposed to reduce the consumption of FPGA resources by using a parallel-sequential structure.…”

Sustainable Preservation of Historical Temples Through Ventilation Airflow Dynamics and Environmental Analysis Using Computational Fluid Dynamics by Mongkol Kaewbumrung, Chalermpol Plengsa-Ard, Wasan Palasai

“…In addition to airflow distribution, the study evaluated the aerodynamic forces and rotational moments acting on the structure based on five prevailing wind directions. …”
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Integration of whole genome resequencing and transcriptome sequencing to identify candidate genes for tall and short traits in Baicheng Fatty chickens by Jiaqi Li, Kaixu Chen, Mengting Zhu, Jingdong Bi, Honggang Tang, Weiyi Gao

“…These genes may influence the growth and developmental patterns of skeletal structures, though their regulatory mechanisms require further investigation. …”
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Synthesis of a novel carboxymethyl chitosan-silver - ginger nanocomposite, characterization, and antimicrobial efficacy by Manal A. El-Sheikh

“…AgNPs obtained were evaluated by the absorbance of the nanocomposite colloidal solution. …”
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Numerical Simulation of Turbulent Flow in River Bends and Confluences Using the k-ω SST Turbulence Model and Comparison with Standard and Realizable k-ε Models by Rawaa Shaheed, Abdolmajid Mohammadian, Alaa Mohammed Shaheed

“…River bends and confluences are critical features in fluvial environments where complex flow patterns, including secondary currents, turbulence, and surface changes, strongly influence sediment transport, river morphology, and water quality. …”
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QbD-based green synthesis and multifaceted characterization of silver nanoparticles from Mitragyna parvifolia leaves extract with enhanced bio-efficacy by Sukanya Pote, Preeti Salve

“…XRD analysis confirmed a face-centered cubic structure with an average crystallite size of 13.05 nm, and TEM analysis revealed well-dispersed spherical particles ranging from 18 to 22 nm, with SAED patterns supporting their crystalline nature. …”
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One-Pot Approach Towards Peptoids Synthesis Using 1,4-Dithiane-2,5-Diol via Multicomponent Approach and DFT-Based Computational Analysis by Musrat Shaheen, Akbar Ali

“…This alteration in the backbone structure is highly valued because it endows beneficial properties, including enhanced resistance to proteolysis, greater immunogenicity, improved biostability, and superior bioavailability. …”
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Design and implementation of a compact ultra-wideband reconfigurable antenna using RF MEMS switch technology by Preeti Rani, Manoj Kumar Gaur, Poonam Tiwari, Meenu Kaushik, Anshuman Shastri, Vishant Gahlaut

“…The antenna maintains VSWR < 2 across the band except for the notched region, with stable omnidirectional radiation patterns. Compared to existing designs, the proposed structure offers compact size (28 × 23 × 1.6) mm3, superior reconfigurability, and improved gain stability, making it an excellent candidate for next-generation UWB communication systems.…”
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IMPLEMENTATION OF THE DBSCAN METHOD FOR CLUSTER MAPPING OF EARTHQUAKE SPREAD LOCATION by Muhammad Bariklana, Achmad Fauzan

“…This research began with nearest-neighbor analysis to see patterns of data distribution. If the data distribution pattern is grouped, then DBSCAN analysis can be continued. …”
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Causal knowledge graph construction for enterprise innovation events in the digital economy and its application to strategic decision-making by Pengfei Wu, Bingtao Xu, Xuhan Zhang

“…We introduce a new architecture that integrates pre-trained language encoders and graph neural networks to jointly model event contexts and global causal structure. The proposed approach is evaluated on three datasets: a DEMAND competition dataset of digital economy innovation events, the FinCausal financial causality dataset, and the Causal News Corpus of news events. …”
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Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individuals. by Reihaneh Hassanzadeh, Rogers F Silva, Anees Abrol, Mustafa Salman, Anna Bonkhoff, Yuhui Du, Zening Fu, Thomas DeRamus, Eswar Damaraju, Bradley Baker, Vince D Calhoun

“…Individuals can be characterized in a population according to their brain measurements and activity, given the inter-subject variability in brain anatomy, structure-function relationships, or life experience. …”
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Assessing remote learning's feasibility: A comprehensive analysis of Philippine public-school teachers’ use of learning management systems and blended learning approaches by Mark Jhon Prestoza

“…s blended teaching matrix, classifies interactions into four quadrants, offering a complete structure forcomprehending blended learning situations. …”
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Optimizing Artificial Neural Networks Using Mountain Gazelle Optimizer by Muhammed Abdulhamid Karabiyik, Bahaeddin Turkoglu, Tunc Asuroglu

“…In this study, we introduce a novel approach to optimizing neural network parameters using the Mountain Gazelle Optimizer (MGO), a nature-inspired metaheuristic algorithm that mimics the social hierarchy and behavioral patterns of wild mountain gazelles. The MGO algorithm leverages its unique features, including hierarchical social structure and adaptive movement strategies, to effectively navigate the complex parameter space of neural networks. …”
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