Methods integrating innate and adaptive immune responses in human in vitro immunization assays by Tetiana Y. Bowley, Kiersten D. Lenz, Apoorv Shanker, Jessica Z. Kubicek-Sutherland

“…The HTC assay, by mimicking both spatial and temporal aspects of immune interactions, provides enhanced physiological relevance. …”
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GIS assessment of soil erosion in Uzbekistan's rainfed mountain lands by Sodikova Gulchekhra, Shamsiddinov Tulkin, Shadieva Nilufar, Usmonova Matlyuba

“…The analysis identifies critical degradation hotspots, revealing the influence of topographical diversity, climatic variations, and human activities, including overgrazing and unsustainable land-use practices. Predictive models were developed to evaluate the future risks associated with soil erosion, offering significant insights into the dynamics of soil fertility and its implications for agricultural productivity. …”
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FORECASTING OF POTATO YIELD ESTIMATION BY SATELLITE BASED REMOTE SENSING TECHNIQUE by Mohammad Mukhlesur Rahman, Mohammad Amirul Islam, Md. Golam Mahboob, Nur Mohammad, Istiak Ahmed

“…The goal of the study was to construct a remotely sensed yield prediction model that used the high spatial resolution of Sentinel 2A and Landsat 8 satellite images to forecast potato yield one month ahead of harvest. …”
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Finance-driven sustainable development: the impact of green finance on agricultural non-point source pollution and its pathways by Yang Shen, Xiuwu Zhang

“…These measures are intended to improve the green finance system and business model in agriculture and rural areas.…”
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Bye-bye, Local-in-matter-density Bias: The Statistics of the Halo Field Are Poorly Determined by the Local Mass Density by Deaglan J. Bartlett, Matthew Ho, Benjamin D. Wandelt

“…Many models predict halos purely from the local Eulerian matter density, yet bias models in perturbation theory require other local properties. …”
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Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

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Influence of Source Shape on Semi-Airborne Transient Electromagnetic Surveys by Lei Liu, Jianghai Xie, Wentao Liu, Jianmei Zhou

“…A three-dimensional (3D) block model is established, and a model order reduction algorithm is applied to calculate the 3D spatial distribution of electromagnetic fields generated by both an ideal linear source and a curved source. …”
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Two different mechanisms support selective attention at different phases of training. by Sirawaj Itthipuripat, Kexin Cha, Anna Byers, John T Serences

“…Accordingly, the SDT-based model required noise reduction to account for the link between the stimulus-evoked visual responses and attentional modulations of behavior. …”
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Artificial Intelligence for Organoids Multidimensional Assessment by Yulin Mo, Jian Wang, Huijian Yang, Long Bai, Ke Xu, Jiacan Su

“…ABSTRACT Organoids are tissue analogues formed through in vitro three‐dimensional culture of stem cells, possessing specific spatial structures. Organoids have become integral to various biomedical fields, including disease pathogenesis, model construction, regenerative and precision medicine, drug screening, tissue and organ development, toxicology, and pathological analysis. …”
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Estimation of Vehicle Dynamic Response from Track Irregularity Using Deep Learning Techniques by Fei Yang, Xiaoli Hao, Hang Zhang, Jie Jiang, Zhixing Fan, Zilong Wei

“…This paper proposes a deep learning model to predict vehicle responses (e.g., vertical wheel-rail forces, wheel unloading rate, and car body vertical acceleration) using deep learning techniques. …”
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A low illumination target detection method based on a dynamic gradient gain allocation strategy by Zhiqiang Li, Jian Xiang, Jiawen Duan

“…Firstly, efficient multi-scale feature fusion is performed by using a new neck structure in the original model so that it can fully exchange high-level semantic information and low-level spatial information. …”
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MACHINE LEARNING TECHNIQUES IN DETERMINING LAND SUITABLE FOR CEREAL CROPS IN IKERE EKITI, EKITI STATE, SOUTHWESTERN NIGERIA. by Ijaware Victor Ayodele, Kehinde Ruth Aniyikaye

“…Moreover, these data were processed with the aid of ArcGIS 10.7 Software and Machine Learning algorithm was used in predicting areas suitable for cereals crops. Results: The results revealed significant spatial variations in land suitability across Ikere Ekiti, with the machine learning models successfully identifying highly suitable zones for cereals crops. …”
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Anthropogenic Disturbance and Climate Change Impacts on the Suitable Habitat of Sphenomorphus incognitus in China by Kai Chen, Li Ma, Weijun Jiang, Lijin Wang, Li Wei, Hongji Zhang, Ruhao Yang

“…The mean true skill statistic (TSS) and the area under the receiver operating characteristic curve (AUC) suggested that the ensemble model yield more precise predictions than those of individual models. …”
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Water-Body Monitoring and Erosion–Deposition Analysis of East Dongting Lake Based on Long Time-Series Remote Sensing Data by Lihua Wang, Jian Xu, Sunan Shi, Guozhong Li, Shiming Yao, Hualong Luan, Xiao Xiao, Zican He

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Minimizing Air Traffic Disruption from Uncontrolled Space Debris Reentries by Irina Beatrice Stefanescu, Cristian Emil Constantinescu, Octavian Thor Pleter

“…We propose utilizing dynamic airspace allocation techniques, using information derived by enhanced reentry prediction models and real-time tracking. Transforming the spatial problem of airspace closures into a temporal one, the study demonstrates the feasibility of confining closures to dynamically moving zones with minimal disruption. …”
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Pothole Detection and Assessment on Highways Using Enhanced YOLO Algorithm With Attention Mechanisms by Rufus Rubin, Chinnu Jacob, Sumod Sundar, Gabriel Stoian, Daniela Danciulescu, Jude Hemanth

“…The improved YOLO model, along with spatial and channel attention mechanisms, focuses on relevant regions and refines important features specific to pothole areas. …”
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Using fishery-related data, scientific expertise, and machine learning to improve marine habitat mapping in northeastern Mediterranean waters by Loukas Katikas, Sofia Reizopoulou, Paraskevi Drakopoulou, Vassiliki Vassilopoulou

“…A validation dataset and georeferenced data from previous studies were used to compare the accuracy and predictive performance of the models. Using this approach, the Saronikos Gulf was enriched with five more habitat types than visualised in the EMODnet portal, which also filled habitat gaps in areas where no data existed. …”
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GCN-Former: A Method for Action Recognition Using Graph Convolutional Networks and Transformer by Xueshen Cui, Jikai Zhang, Yihao He, Zhixing Wang, Wentao Zhao

“…The model integrates the Transformer architecture with traditional GCNs, leveraging the Transformer’s powerful capability for handling long-sequence data and the effective capture of spatial dependencies by GCNs. …”
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Decoupling both local and global abundance from global range size, challenging the abundance-occupancy relationship in birds by Shinichi Nakagawa, William K Cornwell, Corey T Callaghan

“…The existence of this empirical relationship has informed both theory development and applied questions. Notably, the spatial neutral model of biodiversity predicts AORs. …”
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A Two-Step Reconstruction Framework for Mapping Seamless All-Weather Daily Evapotranspiration Using Thermal Infrared Data by Gengle Zhao, Long Zhao, Lisheng Song, Hua Wu, Qiaoyun Xie, Shaomin Liu, Kejia Xue, Sinuo Tao, Penghai Wu, Lingfeng Zhang

“…ET has conventionally been generated using thermal infrared-based models, cloud contamination of satellite data could prohibit accurate estimates of spatial continuous daily ET. …”
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