Depth-dependent microskeletal features modify light harvesting in Turbinaria reniformis corals by Netanel Kramer, Claudia Tatiana Galindo-Martínez, Steven L. Jacques, Martin Tresguerres, Yossi Loya, Daniel Wangpraseurt

“…Mesophotic corals showed higher scattering coefficients and a lower anisotropy of scattering values, yielding increased reflectivity. Regardless of depth, coenosteum grooves facilitated forward scattering, while protruding features such as spines and septa increased surface reflectivity and isotropic scattering. …”
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User-cooperative dynamic resource allocation for backscatter-aided wireless-powered MEC network by Huaiwen He, Chenghao Zhou, Feng Huang, Hong Shen, Yihong Yang, Shangsong Liang, Xinyuan Jin

“…Abstract Backscatter communication, which transmits information by passively reflecting radio frequency (RF) signals, has become a focal point of interest due to its potential to significantly enhance the energy efficiency of Wireless Power (WPMEC) networks and extend the operational lifespan of terminal devices. …”
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Fence-Wall diplomacy is a factor for boundary security by I. S. Zonn, S. S. Zhiltsov

“…Construction of protective walls, barriers and fences reflects the level of political relationships among the countries and the level of their economic capabilities with the help of which the states are seeking to stop completely, to revise or drastically restrict bilateral relations.It is not an easy task to assess efficiency of the constructed walls and barriers, and the more so in the face of complex issues existing in bilateral relations. …”
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Bayesian inference of structured latent spaces from neural population activity with the orthogonal stochastic linear mixing model. by Rui Meng, Kristofer E Bouchard

“…., sound frequency, reach angle) are reflected in population neural activity is important for understanding how the brain operates. …”
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An overview of the research on the correlation between solar energy utilization potential and spatial morphology by Dexin Li, Xiurong Cui, Ligang Shi, Yuan Li

“…The review shows that most of the studies in this field mainly employ geometric and descriptive morphological parameters to indirectly reflect the neighborhood relationship of buildings, while more complex multi-dimensional parameters or performance parameters characterizing building properties remain to be explored. …”
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EML-SlowFast: A behavior recognition model for lion-head goose by Jinwei Wang, Zhiguo Du, Bin Wen, Zhihui Wu, Xudong Lin

“…Compared to commonly used behavior recognition models, the EML-SlowFast model has effective recognition of lion-head goose behaviors while maintaining low computational complexity, which is beneficial for deployment and use in scenarios with low computational resources. …”
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Greening concept in inventory system for deteriorating items with preservation investment and price and stock dependent demand via marine predators algorithm by Hachen Ali, Gobinda Chandra Panda, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Jeonghwan Gwak

“…The resulting objective function is highly nonlinear and complex. To solve it efficiently, this study employs the Marine Predators Algorithm (MPA)—a newly developed metaheuristic algorithm well-suited for continuous, nonlinear optimization. …”
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Adaptive damage analysis method for ultimate bearing capacity of steel truss structures with box section by JingJing Han, WeiWei Xie, Wei Zhang, LuFeng Yang

“…Abstract Traditional damage analysis of steel truss structures requires detailed finite element meshing, and there is a coupling between stress-strain and damage solving, resulting in complex damage analysis and massive computations. …”
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Agent-Based Evacuation Modeling: Enhancing Building Safety in Emergency Scenarios by Miguel Islas-Toski, Erik Cuevas, Marco Pérez-Cisneros, Héctor Escobar

“…By incorporating these behavioral conditions, the model more accurately reflects the real-life reactions of individuals during evacuation, leading to more realistic and applicable results. …”
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Stiffness based in-situ assessment of static recrystallization kinetics for cold-rolled aluminum alloys by Thomas Obermayer, Christian Krempaszky, Ewald Werner

“…However, the characterization of SRX kinetics by established methods is costly and complex. The analysis of the relation between the recrystallization kinetics and the influence of alloying elements, dislocation density and temperature is elaboratory. …”
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High-performance traffic volume prediction: An evaluation of RNN, GRU, and CNN for accuracy and computational trade-offs by Pranolo Andri, Saifullah Shoffan, Bella Utama Agung, Wibawa Aji Prasetya, Bastian Muhammad, Hardiyanti P Cicin

“…Predicting urban traffic volume presents significant challenges due to complex temporal dependencies and fluctuations driven by environmental and situational factors. …”
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Leveraging IoT-Enabled Sensor Networks and Machine Learning for Early Detection and Management of Wheat Rust by Adnan Myasar M., Almoussawi Zainab Abed, Anuradha Kodali

“…Applying a wide-ranging sensor complex controlled across farming pitches, the organization accumulates immediate data on recyclable conditions and crop strength boundaries, including temperature, moisture, soil dampness, and spectral reflectance. …”
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Gravity Data Fusion and Imaging of Geological Structures in the Red River Fault Zone and Adjacent Areas by Guiju Wu, Fei Yu, Hongbo Tan, Jiapei Wang, Weihua Liu

“…The geological structure in the Red River fault zone (RRF) and adjacent areas is complex. Due to the lack of high-precision gravity data in the study area, it is difficult to obtain the distribution of materials within the Earth’s crust. …”
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Study results in curvilinear motion of high-speed track machine with electromechanical transmission by V. N. Kuznetsova, R. V. Romanenko

“…The research results can be used to create, based on the existing scientific and technical background, a promising robotic complex with an electromechanical transmission.…”
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Study on multi-parameter optimization of seismic isolation bearings for continuous girder bridges considering interactions among key parameters by Zhaolan Wei, Bowen Yang, Qixuan You, Konstantinos Daniel Tsavdaridis, Shaomin Jia

“…Abstract Traditional isolation design for continuous girder bridges often focuses on single-parameter tuning, overlooking the complex interactions among yield strength, pre-yield stiffness, and post-yield stiffness. …”
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Hybrid Optimization Algorithm for Solving Attack-Response Optimization and Engineering Design Problems by Ahmad K. Al Hwaitat, Hussam N. Fakhouri, Jamal Zraqou, Najem Sirhan

“…Statistical analysis using Wilcoxon sum-rank tests further underscores JADEDO’s consistent advantage over several established optimizers, reflecting its proficiency in navigating complex, high-dimensional problems. …”
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Assessment Method for Feeding Intensity of Fish Schools Using MobileViT-CoordAtt by Shikun Liu, Xingguo Liu, Haisheng Zou

“…Assessment of fish feeding intensity is crucial for achieving precise feeding and for enhancing aquaculture efficiency. However, complex backgrounds in real-world aquaculture scenarios—such as water surface reflections, wave disturbances, and the stochastic movement of fish schools—pose significant challenges to the precise extraction of feeding-related features. …”
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STRUCTURAL COMPONENTS OF INSTRUMENTAL AND PERFORMANCE SKILLS OF FUTURE TEACHERS OF MUSIC ART by L.O. Kovalova-Honchariuk

“…It is proved that it is a complex of features and traits of an individual that ensures psychological readiness to the public performance of musical works and efficiency of teaching activity of future music teachers in general due to the skills to implement personal interpretation intentions, learn and help students discover a sense of music, show students music images by using different means of musical expression, theorize and perform analysis of a musical work. …”
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Study on the Compressive Strength Predicting of Steel Fiber Reinforced Concrete Based on an Interpretable Deep Learning Method by Huiming Wang, Jie Lin, Shengpin Guo

“…The SHAP analysis results are consistent with the experimental results, and the predictive model well reflects the complex nonlinear relationship between various characteristic parameters, which can provide a basis and reference for the engineering design of SFRC materials.…”
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Enhancing Mirror and Glass Detection in Multimodal Images Based on Mathematical and Physical Methods by Jiyuan Qiu, Chen Jiang

“…Current research primarily relies on complex network models that learn and fuse different modalities of images, such as RGB, depth, and thermal, to achieve mirror and glass detection. …”
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