Probing cosmic voids with emission-line galaxies by Yuka Yamada, Naoki Yoshida, Naoki Yoshida

“…IntroductionWe aim to provide forecasts for future line intensity mapping (LIM) observations and galaxy redshift surveys, focusing on the physical properties of low-density region of the cosmic web (voids). …”
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Improvement strategies for heuristic algorithms based on machine learning and information concepts: a review of the seahorse optimization algorithm by Shixing Zheng

“…Consequently, it transforms the discrete “iteration-weight” mapping ( $t\rightarrow w$t→w ) into a continuous “distance-weight” mapping ( $d\rightarrow w$d→w ), thereby enhancing the adaptability and optimization capability of the algorithm. …”
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Imaging and printing in plastic and reconstructive surgery part 1: established techniques by Michael P Chae, David J Hunter-Smith, Warren M Rozen

“…Conventional imaging modalities such as CT and MRI are relatively affordable and widely accessible and offer powerful functionalities. In the first of a two-part series, we evaluate established three-dimensional (3D) imaging and printing techniques based on CT and MRI used in plastic and reconstructive surgery. …”
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A methodology for evaluating land suitability for medicinal plants at a regional level by Marco Barbaro, Alvaro Rocca, Francesco Danuso

“…For each of the three criteria, a specific macro-indicator, based on land characteristics, was calculated using membership functions. Here, a methodology to create maps for the introduction of such species was developed and implemented. …”
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Joint neural denoising and consolidation for portable handheld laser scan by T. Zhang, S. Filin

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User- Centered Methodologies for Requirements Engineering: A Comparative Analysis using ISO/IEC/IEEE 29148 by Alex Llanque, Vaneza Flores, Abraham Dávila Ramón

“… (BACKGROUND) Requirement engineering is a fundamental process of the software development life cycle processes that allows defining the functionalities, quality and scope of a software. Requirement engineering is a human-intensive participation process and that have in ISO/IEC/IEEE 29148 a standard that defines a set of process (activities, tasks, information items, etc.) that provide support for its formalization. …”
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Multimodal representative answer extraction in community question answering by Ming Li, Yating Ma, Ying Li, Yixue Bai

“…Then, a binary multi-objective optimization model with three objective functions including multimodal answer coverage, multimodal answer redundancy, and multimodal answer consistency is constructed to extract a representative subset of answers. …”
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On Katugampola Fractional Multiplicative Hermite-Hadamard-Type Inequalities by Wedad Saleh, Badreddine Meftah, Muhammad Uzair Awan, Abdelghani Lakhdari

“…Motivated by the growing interest in fractional calculus and its applications, we address the gap in generalized inequalities for multiplicative <i>s</i>-convex functions by deriving a Hermite–Hadamard-type inequality tailored to Katugampola fractional multiplicative integrals. …”
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Superposition and Interaction Dynamics of Complexitons, Breathers, and Rogue Waves in a Landau–Ginzburg–Higgs Model for Drift Cyclotron Waves in Superconductors by Hicham Saber, Muntasir Suhail, Amer Alsulami, Khaled Aldwoah, Alaa Mustafa, Mohammed Hassan

“…Utilizing the Cole–Hopf transform, the HB equation is derived, and symbolic manipulation combined with various auxiliary functions (AFs) are employed to uncover a diverse set of analytical solutions. …”
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Research on heterogeneous resource modeling and encapsulation technology of industrial cyber range by Du Lin, Zhu Junhu, Bai Yongqiang

“…In order to solve the controlling difficulty of the diversified heterogeneous resources of industrial network cyber range, a various-resource-based meta-modeling approach is adopted to model, classify and describe the functions, performance, interfaces, forms and other attributes of the real resource in a unified way, which maps the real resource to achieve model reuse and rapid reconstruction. …”
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Magnetic resorcinol-formaldehyde supported-DABCO as an effective and recyclable nanocatalyst by Somayeh Abaeezadeh, Dawood Elhamifar

“…Abstract In this study, a novel core-shell structured magnetic resorcinol-formaldehyde functionalized with 1,4-diazabicyclo[2.2.2]octane (Fe3O4@RF/DABCO) has been synthesized, characterized, and its catalytic efficacy has been investigated in the Knoevenagel condensation. …”
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Mixed Multi-Strategy Improved Aquila Optimizer and Its Application in Path Planning by Tianyue Bao, Jiaxin Zhao, Yanchang Liu, Xusheng Guo, Tianshuo Chen

“…The effectiveness of the mixed multi-strategy improved Aquila Optimizer is validated through simulations on benchmark test functions, CEC2017 complex functions, and path planning scenarios. …”
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Hybrid Improved PSO Algorithm for Soil Property Parameter Estimation by Mude Li, Aiping Shi, Yefan Shi, Tao Zhang, Cu Qu, Lihua Ye

“…For multimodal functions (e.g., F3), PSO-EDO significantly outperforms PSO-WOA (Particle Swarm Optimization-Whale Optimization Algorithm) with a 22.3% reduction in error. …”
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Enriched Environment Reduces Seizure Susceptibility via Entorhinal Cortex Circuit Augmented Adult Neurogenesis by Zhongxia Li, Liying Chen, Fan Fei, Wenqi Wang, Lin Yang, Yu Wang, Heming Cheng, Yingwei Xu, Cenglin Xu, Shuang Wang, Yan Gu, Feng Han, Zhong Chen, Yi Wang

“…EE‐enhanced adult‐born dentate granule cells (abDGCs) are functionally activated during seizure events. Importantly, the selective activation of abDGCs mimics the anti‐seizure effects observed with EE, while their inhibition negates these effects. …”
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cogsworth: A Gala of COSMIC Proportions Combining Binary Stellar Evolution and Galactic Dynamics by Tom Wagg, Katelyn Breivik, Mathieu Renzo, Adrian M. Price-Whelan

“…Alternatively, several analytic models are available for galactic potentials and star formation histories. cogsworth can also transform the intrinsic simulated population into an observed population using dust maps, bolometric correction functions, and survey selection functions. …”
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Nitrogen addition enhances soil carbon and nutrient dynamics in Chinese croplands: a machine learning and nationwide synthesis by Yu Li, Yuan Li

“…This AI-derived dataset enables automated mapping of soil carbon and nutrient functions, capturing substantial spatial heterogeneity under varying environmental conditions. …”
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Convergent evolution of escape from hepaciviral antagonism in primates. by Maulik R Patel, Yueh-Ming Loo, Stacy M Horner, Michael Gale, Harmit S Malik

“…We focused on how this positive selection has shaped MAVS' susceptibility to Hepatitis C virus (HCV). We functionally tested MAVS proteins from diverse primate species for their ability to resist antagonism by HCV, which uses its protease NS3/4A to cleave human MAVS. …”
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Unraveling the complexities: morpho-physiological and proteomic responses of pearl millet (Pennisetum glaucum) to dual drought and salt stress by Charlie Sithole, Rotondwa Rabelani Sinthumule, Joseph Lesibe Gaorongwe, Oziniel Ruzvidzo, Tshegofatso Bridget Dikobe

“…Protein expression analysis showed differential upregulation and downregulation patterns between the control and stressed pearl millet plants. Gene ontology mapping identified key biological processes, molecular functions, and cellular components of differentially expressed proteins associated with individual and combined stresses. …”
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Artificial Empathy in Home Service Agents: A Conceptual Framework and Typology of Empathic Human–Agent Interactions by Joohyun Lee, Hyo-Jin Kang

“…As artificial intelligence (AI) technology advances, there has been a diversification of home service functions and services, as well as a change in the applied technologies and functions. …”
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An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis by Hao Yan, Liangliang Shang, Wan Chen, Mengyao Jiang, Tianqi lu, Fei Li

“…First, a hybrid kernel extreme learning machine (HKELM) is initially constructed, leveraging SDAE’s deep network architecture for automatic feature extraction. The hybrid kernel functions address the limitations of single kernel functions by effectively capturing both linear and nonlinear patterns in the data. …”
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