Causal Risk Ratio and Causal Risk Difference in Longitudinal Studies With Frequent Outcome Events by Hiroyuki Shiiba, Hisashi Noma, Keisuke Kuwahara, Tohru Nakagawa, Tetsuya Mizoue

“…In the analyses of longitudinal data with binary outcomes, using the generalized estimating equation (GEE) logistic regression model within the MSM framework is a common approach to estimate the odds ratio. …”
Get full text

Spatial sample weighted machine learning for multitemporal land cover change modeling with imbalanced datasets by Alysha van Duynhoven, Suzana Dragićević

“…Despite the widespread use of machine learning (ML) models for geospatial applications, adaptations to imbalanced multitemporal land cover (LC) datasets remain underexplored. …”
Get full text

Recent advances in deep learning for protein-protein interaction: a review by Jiafu Cui, Siqi Yang, Litai Yi, Qilemuge Xi, Dezhi Yang, Yongchun Zuo

“…We evaluate core architectures (GNNs, CNNs, RNNs) and pioneering approaches—attention-driven Transformers, multi-task frameworks, multimodal integration of sequence and structural data, transfer learning via BERT and ESM, and autoencoders for interaction characterization. …”
Get full text

Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction by Geng-Fu He, Pin Zhang, Zhen-Yu Yin

“…In the regions of sparse data, predicted uncertainty becomes larger as errors increase, demonstrating the validity of UQ. …”
Get full text

The first complete genome of Fructilactobacillus vespulae: strain Mu01, isolated from nectar of Musa paradisiaca L. by Manuel Zúñiga, Cristina Alcántara, Ángela Peirotén, Luis Andrés Ramón-Nuñez, Vicente Monedero, José María Landete

“…Many species within this group have significant roles in food fermentation, human health, and industrial applications. Here, we report the complete genome sequence of Fructilactobacillus vespulae Mu01, the first sequenced genome of this species. …”
Get full text

Detection of drainage ditches from LiDAR DTM using U-Net and transfer learning by Holger Virro, Alexander Kmoch, William Lidberg, Merle Muru, Wai Tik Chan, Desalew Meseret Moges, Evelyn Uuemaa

“…Traditional methods, such as manual digitization or threshold-based extraction, utilize LiDAR-derived digital terrain model (DTM) data but are labor-intensive and impractical to apply for large-scale applications. …”
Get full text

Toward HydroLLM: a benchmark dataset for hydrology-specific knowledge assessment for large language models by Dilara Kizilkaya, Ramteja Sajja, Yusuf Sermet, Ibrahim Demir

Get full text

Identifying influential nodes in weighted complex networks by considering the importance of shortest paths by Xiaohong Wang, Zhenyu Wang

Get full text

Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources by Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar

“…Modern machine learning methods increasingly outperform their process-based and empirical model counterparts for hydrologic time series prediction with their ability to extract information from large, diverse data sets. We review relevant state-of-the art applications of machine learning for streamflow, water quality, and other water resources prediction and discuss opportunities to improve the use of machine learning with emerging methods for incorporating watershed characteristics and process knowledge into classical, deep learning, and transfer learning methodologies. …”
Get full text

Enhancing geodatabases operability: advanced human-computer interaction through RAG and Multi-Agent Systems by Ziming Peng, Xi Kuai, Shuisong Ke, Xuehui Dong, Renzhong Guo

“…The increasing demand for efficient geographic data querying has underscored the need to improve both the speed and accuracy of such operations. …”
Get full text

Alpha diversity with increasing altitude and Rapoport’s rule adherence: Elevational trends in Noctuoidea (Lepidoptera) of Mizoram, India by Malsawmtluanga Hnialum, Chitra Narayanasami, Santosh Patil, Soundararajan Palanisamy, Kumaraperumal Ramalingam, Balasubramani Venkatasamy, Amrit Mallick, Dilipsundar Natarajan, Arulkumar Gopal, Lalmuanzuala B

Get full text

Inverse link prediction with graph convolutional networks for knowledge-preserving sparsification in cheminformatics by Elnaz Bangian Tabrizi, Mehrdad Jalali, Mahboobeh Houshmand

Get full text

Towards scalable medical image compression using hybrid model analysis by Shunlei Li, Jiajie Lu, Yingbai Hu, Leonardo S. Mattos, Zheng Li

Get full text

Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques by Esraa Hassan, Amira Samy Talaat, M. A. Elsabagh

Get full text

Natural language access point to digital metal–organic polyhedra chemistry in The World Avatar by Simon D. Rihm, Dan N. Tran, Aleksandar Kondinski, Laura Pascazio, Fabio Saluz, Xinhong Deng, Sebastian Mosbach, Jethro Akroyd, Markus Kraft

“…Metal–organic polyhedra (MOPs) are discrete, porous metal–organic assemblies known for their wide-ranging applications in separation, drug delivery, and catalysis. …”
Get full text

On the solution of intuitionistic fuzzy nonlinear Fredholm integral equation using direct computational method by Zain Khan, Saleem Abdullah, Ariana Abdul Rahimzai, Saifullah Khan

Get full text

TSQ: An Optimized Framework for Efficiently Answering Time Series Queries by Feifan Pu, Jianqiu Xu

“…Abstract Time series data are pervasive, with a multitude of applications across various fields including science, industry, Entertainment, medicine, and biology. …”
Get full text

Evolution of sample-based music authorship network by Dongju Park, Juyong Park

Get full text

Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization by Buti Sello, Jianming Yong, Xiaohui Tao

“…The decentralised and distributed nature of blockchains guarantees the integrity and authenticity of the data, eliminating the need for intermediaries. The applications of this technology are not limited to the financial sector, but extend to various areas, such as supply chain management, identity verification, and governance. …”
Get full text

Reasoning about physical processes in buildings through component stereotypes by Ganesh Ramanathan, Simon Mayer

Get full text