Photon–photon chemical thermodynamics of frequency conversion processes in highly multimode systems by Huizhong Ren, Georgios G. Pyrialakos, Qi Zhong, Fan O. Wu, Mercedeh Khajavikhan, Demetrios N. Christodoulides

“…Abstract Frequency generation in highly multimode nonlinear optical systems is inherently a complex process, giving rise to an exceedingly convoluted landscape of evolution dynamics. While predicting and controlling the global conversion efficiencies in such nonlinear environments has long been considered impossible, here, we formally address this challenge even in scenarios involving a very large number of spatial modes. …”
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Effect of Solar Irradiation Inter-Annual Variability on PV and CSP Power Plants Production Capacity: Portugal Case-Study by Ailton M. Tavares, Ricardo Conceição, Francisco M. Lopes, Hugo G. Silva

“…The latter is attributed to the long-term upward trend of 0.0231 °C/year in annual average ambient temperature, which contributes to PV and CSP efficiency reduction. Spatial analysis of inter-annual relative variability for GHI and DNI shows a reduction in variability from the north to the south of the country, as well as for the respective power plant productions. …”
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Ammonia Emission and Deposition in Scotland and Its Potential Environmental Impacts by M.A. Sutton, U. Dragosits, S. Hellsten, C.J. Place, A.J. Dore, Y.S. Tang, N. van Dijk, L. Love, N. Fournier, M. Vieno, K.J. Weston, R.I. Smith, M. Coyle, D. Roy, J. Hall, D. Fowler

“…A spatial model is applied here to map NH3 emissions and these estimates are applied in atmospheric dispersion and deposition models to estimate atmospheric concentrations of NH3 and NH4+, dry deposition of NH3, and wet deposition of NHx. …”
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Synergistic Matching and Influencing Factors of Grain Production and Cropland Net Primary Productivity in the Black Soil Region of Northeast China by Quanxi Wang, Jun Ren, Maomao Zhang, Hongjun Sui, Xiaodan Li

“…This study analyzed the spatial–temporal mismatch characteristics of grain production and cropland net primary productivity (CNPP) using the gravity center model, spatial autocorrelation analysis, and spatial mismatch index (SMI), and identified the spatial heterogeneity and prediction–response relationships of influencing factors based on a geographically and temporally weighted regression (GTWR) model and boosted regression tree (BRT) machine learning algorithm. …”
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SLGMA-UNet: Comprehensive Feature Aggregation With Context-Sensitive Attention for Medical Image Segmentation by Xinghuo Ye, Na Wang

“…This paper introduces SLGMA-UNet, an enhanced architecture that incorporates a multi-level attention system, adaptive scale processing Efficient Multi-Scale Attention (EMA), and a combined focus mechanism Spatial & Local-Global Attention (SLGA). The EMA module integrates multi-scale information, avoids channel dimensionality reduction, facilitates cross-space learning, and effectively establishes dependencies. …”
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From black strings to fundamental strings: non-uniformity and phase transitions by Jinwei Chu

“…In particular, we study the Horowitz-Polchinski effective field theory in ℝ d × S z 1 $$ {\mathbb{R}}^d\times {\mathbbm{S}}_z^1 $$ , with a reduction on the Euclidean time circle S τ 1 $$ {\mathbbm{S}}_{\tau}^1 $$ . …”
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FOV Expansion of Bioinspired Multiband Polarimetric Imagers With Convolutional Neural Networks by Yongqiang Zhao, Miaomiao Wang, Guang Yang, Jonathan Cheung-Wai Chan

“…Spectral and polarimetric contents of the light reflected from an object contain useful information on material type and surface characteristics of the object. Jointly exploiting spatial, spectral, and polarimetric information helps detect camouflage targets. …”
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Compound climate events and their role in the decay of Greece’s cultural heritage by Iason Markantonis, Theocharis Katrakazis, Diamando Vlachogiannis, Athanasios Sfetsos, Ioannis Kioutsioukis, Ioannis Karatasios

“…This study investigates the spatial and temporal distribution of these decay-inducing events across Greece, utilizing observational data and the Ensemble of five high-resolution climate simulations from EURO-CORDEX and EC-EARTH models. …”
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Functional safeguards for conservation: Identifying climate change refugia for frugivorous and nectarivorous birds in a degraded area of Colombia. by Fausto Sáenz-Jiménez, María Alejandra Parrado-Vargas, José F González-Maya, Juan Emiro Carvajal-Cogollo

“…Large frugivores from intermediate elevations, such as toucans and cracids, as well as nectarivores with extreme adaptations and specializations, are expected to experience the most severe range reductions. Distributional and altitudinal shifts will lead to spatial reorganization of communities and a reduction or complete loss of functional group richness, particularly in lowland areas. …”
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Slope Stability from a Hydrological Perspective: Taking Typical Soil Slope as an Example by Yuelu Zhu, Yaoting Xiao

“…The results show that, from 1970 to 2010, the spatial-temporal distribution of soil moisture content in the Weihe River Basin showed an increasing trend. …”
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Convective-scale forecast errors over Taiwan: an ensemble analysis of error covariances and their influences by Kao-Shen Chung, Chih-Chien Tsai, Li-Hsin Chen, Shu-Chih Yang

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A geospatial approach-based assessment of soil erosion impacts on the dams silting in the semi-arid region by Omar Djoukbala, Salim Djerbouai, Saeed Alqadhi, Mahmoud Hasbaia, Oussama Benselama, Hazem Ghassan Abdo, Javed Mallick

“…Focused on one of the Hodna basin’s sub-basins, the K'sob watershed (1477 km2), the assessment utilizes the Revised Universal Soil Loss Equation (RUSLE) integrated with GIS and remote sensing data to predict the spatial distribution of soil erosion. …”
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Detecting Sensitive Spectral Bands and Vegetation Indices for Potato Yield Using Handheld Spectroradiometer Data by Diego Gomez, Pablo Salvador, Juan Fernando Rodrigo, Jorge Gil

“…Remote sensing is a valuable tool in precision agriculture due to its spatial and temporal coverage, non-destructive method of data collection, and cost-effectiveness. …”
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A hybrid deep learning framework for skin disease localization and classification using wearable sensors by Xiaoling Zhao, Huixin Zhang, Qian Zheng, Caihong Jing

“…This CNN-based multimodal fusion approach improves the model’s ability to capture spatial relationships and enhances classification performance. …”
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Evaluating the Quality of Light Emitted by Smartphone Displays by Nina Piechota, Krzysztof Skarżyński, Kamil Kubiak

“…It covered the color gamut, channel linearity response, refresh rate, flickering, spatial radiation distribution, luminance, uniformity, and static contrast. …”
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IRGL-RRI: interpretable graph representation learning for plant RNA–RNA interaction discovery by Qingquan Liao, Xuchong Liu, Wei Zhao, Yu Tong, Fangzheng Xu, Xinxin Liu, Yifan Chen

“…To address this, this study proposes an interpretable graph representation model for accurate plant RRI prediction. The model enriches sample information by extracting features of different bases from plant RNA data and reconstructs these features using an algorithmic hierarchy approach to capture more complex patterns. …”
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Numerical Study on Heat Leakage, Thermal Stratification, and Self-Pressurization Characteristics in Liquid Helium Storage Tanks by Jing Xu, Fa’an Liu, Jianguo Zhang, Chao Li, Qinghua Liu, Changjun Li, Wenlong Jia, Shixiong Fu, Longjiang Li

“…It is shown that the predictive performance of the mLee model for the self-boosting characteristics (relative deviation of 14.32%) was significantly improved compared with that of the Lee model (relative deviation of 39.64%). …”
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Advanced leukocyte classification using attention mechanisms and dual channel U-Net architecture by Gauri Kalnoor, Vijayalaxmi Kadrolli

“…This ADCU-Net model is particularly selected to effectively capture various features and preserve spatial data, achieving98.4% accuracy. …”
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Inversion method of organic matter content of different types of soils in black soil area based on hyperspectral indices by Lin Nan, Liu Yanlong, Liu Qiang, Jiang Ranzhe, Ma Xunhu

“…The results showed that the SOM estimation model, built using these feature spectral indices from hyperspectral satellite imagery, achieved high predictive accuracy, with R² values approaching 0.80 for most soil types. …”
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The techniques and applications of patient-derived head and neck cancer organoids: a systematic review by Yangyang Xia, Shang Xie, Zhigang Cai, Xiaofeng Shan

“…Results The novel three-dimensional models represented by tumor organoids have filled the gaps in spatial structure and clinical reproducibility of traditional two-dimensional cancer cell lines. …”
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