Synchrony on the reef: how environmental factors shape coral spawning patterns in Acropora corals in the Maldives by Kate Sheridan, Margaux A.A. Monfared, Simon P. Dixon, Amelia J.F. Errington, Thomas Le Berre

“…However, our results highlight the importance of considering environmental conditions, and species-specific relationships, when predicting Acropora spawning, due to the temporal and spatial deviations in timing and synchronicity observed within and between species.…”
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Evaluation of agriculture land transformations with socio-economic influences on wheat demand and supply for food sustainability by Danish Raza, Hong Shu, Muhsan Ehsan, Hong Fan, Kamal Abdelrahman, Hasnat Aslam, Abdul Quddoos, Rana Waqar Aslam, Majid Nazeer, Mohammed S. Fnais, Azeem Sardar

“…Third, population dynamics were examined by applying an exponential growth model to forecast population growth and predict food demand. …”
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Vergence Eye Movements: From Basic Science to Clinical Application by Wolfgang Jaschinski, Rudolf Groner

“…The authors propose mathematical models of calibration as part of the analysis of the experimental data. …”
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Analysing LULC transformations using remote sensing data: insights from a multilayer perceptron neural network approach by Khadim Hussain, Kaleem Mehmood, Sun Yujun, Tariq Badshah, Shoaib Ahmad Anees, Fahad Shahzad, Nooruddin, Jamshid Ali, Muhammad Bilal

“…The study highlights the effectiveness of the MLP-NN model in accurately predicting changes in LULC. The model’s exceptional accuracy and proficiency make it a powerful tool for future LULC forecasts. …”
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Hypervelocity Stars Trace a Supermassive Black Hole in the Large Magellanic Cloud by Jiwon Jesse Han, Kareem El-Badry, Scott Lucchini, Lars Hernquist, Warren Brown, Nico Garavito-Camargo, Charlie Conroy, Re’em Sari

“…The predicted spatial and kinematic distributions of the simulated HVSs are remarkably similar to the observed distributions. …”
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Environmental factors influencing the odds of livestock predations by wolves in North–Eastern Italy across 10 years: a network analysis approach by Marcello Franchini, Salvatore Raniolo, Mirco Corazzin, Maurizio Ramanzin, Giulia Della Longa, Paolo Zanghellini, Natalia Bragalanti, Stefano Bovolenta

“…Large–scale data accessible to public institutions can help predict the temporal and spatial evolution of livestock predations by wolves. …”
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SAR Estimations in a Classroom with Wireless Computers by Norton Escopelli Soares, Giovani Bulla, Claudio E. Fernández-Rodríguez, Alvaro A. A. de Salles

“…Abstract This research provides detailed examination of the peak spatial Specific Absorption Rate (psSAR) in different age students in a classroom with wireless computers. …”
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A Study on the Changes of Urban System Pattern in Markazi Province by Alireza Sayyafzadeh, Mohammad Mireh, Morteza Nodeh Farahani

“…This distribution has been measured using mathematical and statistical models. Urban system is spatial visualization of political economy and land management. …”
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Reconstruction of Optical Coherence Tomography Images from Wavelength Space Using Deep Learning by Maryam Viqar, Erdem Sahin, Elena Stoykova, Violeta Madjarova

“…Furthermore, we illustrate the computational complexity reduction by harnessing the power of DL models. We believe that this work lays the framework for further innovations in the realm of OCT image reconstruction.…”
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Evaluation of Slope Stability and Landslide Prevention in a Closed Open-Pit Mine Used for Water Storage by Pengjiao Zhang, Yuan Gao, Yachao Liu, Tianhong Yang

“…To study and quantify the impact of water storage on lake slope stability after the closure of an open-pit mine, we targeted slope control measures by large-scale parallel computing methods and strength reduction theory. This was based on a three-dimensional refined numerical model to simulate the evolution of slope stability under different water storage levels and backfilling management conditions, and to quantitatively assess the risk of slope instability through the spatial distribution of stability coefficients. …”
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A recurrent multimodal sparse transformer framework for gastrointestinal disease classification by V. Sharmila, S. Geetha

“…Further, the model employs principal component analysis (PCA) for dimensionality reduction and gradient boosting machines (GBMs) for semantic conflict resolution. …”
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Object detection in motion management scenarios based on deep learning. by Baocheng Pei, Yanan Sun, Yebiao Fu, Ting Ren

“…In the ablation experiments, the reduction of each module reduces the accuracy of detection. …”
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Evaluation of flexural deformation of a lightweight fabricated GFRP emergency bridge with a novel broken-line prestressed cable system by Chenglin Liu, Feng Li, Ruijie Zhu, Ming Ni

“…The flexural deformation caused by dead load, live load, prestressing, and clearance effect, considering the axial deformation and spatial angle reduction effect of the steel wire cables, was proposed based on the flexibility method. …”
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Regional Analysis of Gender Inequality in the Kazakh Labor Market in the Context of Sustainable Development by G. N. Nyussupova, G. B. Aidarkhanova, L. B. Kenespayeva, G. B. Aubakirova

“…In this study, the authors tried to model spatial indicators of gender inequality in the labor market of the Republic of Kazakhstan. …”
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Spatiotemporal analysis of tropospheric nitrogen dioxide hotspot over Lahore Division in Pakistan by Muhammad Zeeshan

“…Abstract This study analyzes spatial and temporal trends in tropospheric nitrogen dioxide (NO2) concentrations across the Lahore Division, Pakistan, drawing on 18 years (2007–2024) of observational data from NASA’s Ozone Monitoring Instrument (OMI) Aura satellite. …”
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Rice Disease Detection: TLI-YOLO Innovative Approach for Enhanced Detection and Mobile Compatibility by Zhuqi Li, Wangyu Wu, Bingcai Wei, Hao Li, Jingbo Zhan, Songtao Deng, Jian Wang

“…Finally, this study adopted the WIoUv3 loss function and added a dynamic non-monotonic aggregation mechanism to the standard IoU calculation to more accurately evaluate and penalize the difference between the predicted and actual bounding boxes, thus improving the robustness and generalization ability of the model. …”
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Ordinal METAR Cloud Cover Classification in Sentinel-2 Satellite Data by Markus Gotz, Erik Wessel, Ugur Cayoglu, Babak Jahani, Charlotte Debus, Jan Cermak, Achim Streit

“…This work proposes a novel approach for predicting cloud cover in global satellite images by leveraging ordinal point labels from ground-based weather stations, rather than relying on spatially resolved cloud masks, and demonstrates the effectiveness of this approach using a rank loss-based convolutional neural network of the EfficientNet family. …”
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A strontium (87Sr/86Sr) isoscape of Southern Ethiopia: implications for hominin land use and faunal mobility patterns by Seminew Asrat, Seminew Asrat, Francesco Lucchini, Mary Anne Tafuri, Caterina Aureli, Marina Gallinaro, Andrea Zerboni, Marianna Fusco, Enza E. Spinapolice

“…The results show that our novel baseline isoscape displayed heterogeneous 87Sr/86Sr isotope ratios in both the measured and predicted values (ranging from 0.703 to 0.712), consistent with geological units, with an accurate model performance evaluated through Leave-One-Out Cross-Validation (LOOCV) technique. …”
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Point Cloud Completion of Occluded Corn with a 3D Positional Gated Multilayer Perceptron and Prior Shape Encoder by Yuliang Gao, Zhen Li, Tao Liu, Bin Li, Lifeng Zhang

“…The Shape Coding PointAttN (SCPAN) algorithm is also proposed, which is based on PointAttN. The model’s structure is simplified to output sparse point clouds and minimize computational complexity, and a gated multilayer perceptron (MLP) containing 3D position coding is introduced to enhance the model’s spatial awareness. …”
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A deep learning-based algorithm for the detection of personal protective equipment. by Bo Tong, Guan Li, Xiangli Bu, Yang Wang, Xingchen Yu

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
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