Hybridization in Metal Wire Additive Manufacturing: A Case Study of an Impeller by Shahu R. Karade, Siddhartha Siddhartha, Neel Kamal Gupta, Ganesan G, K. P. Karunakaran, Henning Zeidler

“…This demonstrates a more efficient, precise, and cost-effective method to optimize metal wire AM for producing complex metal components, advancing capabilities and applications.…”
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Study on the Feasibility and Performance Evaluation of High-Orbit Spacecraft Orbit Determination Based on GNSS/SLR/VLBI by Zhengcheng Wu, Shaojie Ni, Wei Xiao, Zongnan Li, Huicui Liu

“…Currently, research on orbit determination for high-orbit spacecraft predominantly focuses on single observation methods, error characteristics, multi-source fusion techniques, and algorithms. …”
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SolarGAN for Meso-Level Solar Radiation Prediction at the Urban Scale: A Case Study in Boston by Yijun Lu, Xinru Li, Siyuan Wu, Yuankai Wang, Waishan Qiu, Da Chen, Yifan Li

“…The model’s capability to generate high-resolution (2 m) solar radiation maps from simplified inputs demonstrates the potential of GANs for urban climate data prediction, offering a rapid and efficient alternative to traditional methods. This approach holds significant potential for urban planning, particularly in optimizing photovoltaic (PV) system layouts and managing the UHI effect.…”
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The Metrics for Promising R&D Early Forecast by Sergey Petrovich Kovalev

“…As it’s demonstrated by the author the implementation of described mathematical approach based on the eight metrics results in higher probability of prognosis for better R&D choice and lets an investment manager to achieve the purpose of optimal funding in combination with other known methods.…”
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The Future of Pathogen Detection in Aquaculture: Miniature Labs, Field‐Compatible Assays, environmental DNA and RNA, CRISPR and Metatranscriptomics by Jessica Rieder, Anastasiia Berezenko, Alexandra Meziti, Irene Adrian‐Kalchhauser

“…ABSTRACT Inland recirculating aquaculture is a thriving food industry providing sustainable and locally sourced high‐quality protein. However, its expansion is accompanied by emerging challenges regarding the spread of pathogens and diseases. …”
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FedITD: A Federated Parameter-Efficient Tuning With Pre-Trained Large Language Models and Transfer Learning Framework for Insider Threat Detection by Zhi Qiang Wang, Haopeng Wang, Abdulmotaleb El Saddik

“…Extensive experiment results show FedITD’s superior performance, adaptability to varied data, and reduction of resource costs, achieving an optimal balance in detection capabilities across source data, unlabeled local data, and global data. …”
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The Antioxidant and Antitumor Effects of Al-gae from the Persian Gulf: A Systematic Re-view by Erfan Jamei, Mohammad Reza Gallehgiryan, Masoumeh Shiravani, Ali Sadeghi, Mohadeseh Mahdi, Maryam Nekooei

“…However, further research is required for the optimal exploitation of these resources in medicine and drug development.…”
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Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

“…In the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets. Traditional data augmentation methods offer limited improvements in model performance, while generative data augmentation methods are plagued by difficulties in training generative models, susceptibility to artifacts, and the need for re-labeling. …”
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Machine‐learning based spatiotemporal prediction of soil moisture in a grassland hillslope by Timo Houben, Pia Ebeling, Swamini Khurana, Julia Sabine Schmid, Johannes Boog

“…Performance metrics varied between the ML methods and the training‐test data split (R2 = 0.48–0.69, root‐mean‐square error [RMSE] = 0.06–0.10). …”
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A robust multi-scale clustering framework for single-cell RNA-seq data analysis by Songrun Jiang, Chunyan Wang, Qiucheng Sun, Zhi Zhang

“…To address these challenges, we introduce a new method, single-cell Multi-Scale Clustering Framework (scMSCF), which combines multi-dimensional PCA for dimensionality reduction, K-means clustering, and a weighted ensemble meta-clustering approach, enhanced by a self-attention-driven Transformer model to optimize clustering performance. scMSCF constructs an initial clustering framework using a multi-layer dimensionality reduction strategy to establish a robust consensus on clustering structure. …”
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Fractional hitting sets for efficient multiset sketching by Timothé Rouzé, Igor Martayan, Camille Marchet, Antoine Limasset

“…However, fixed-size sketches encounter difficulties when applied to divergent datasets. Scalable sketching methods, such as sourmash, provide valuable solutions but still lack resource-efficient, tailored indexing. …”
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Obtaining multi-component chrome plated coatings for press tooling equipment by Borys Sereda, Andrii Udod

“…As part of this study, we plan to conduct a broad review of existing methods, thoroughly study the features of the SHS processes, conduct a series of experimental studies to determine the optimal process parameters, and analyze the data obtained to determine the effectiveness of the SHS method for improving the mechanical properties of materials and extending the service life of machine parts and equipment for vulcanizing products from new elastomeric materials. …”
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Comparative study of drying techniques on the anti-inflammatory content of bitter leaf simplicia (Vernonia amygdalina Del.) by Yulianida Tamala, Moh. Yani, Illah Sailah, Ernie Halimatushadyah, Trina Ekawati Tallei

“…This suggests the potential for reliable prediction of optimal dosages for pharmacological applications.…”
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Encapsulation Techniques to Enhance Astaxanthin Utilization as Functional Feed Ingredient by Matteo Vitale, Joaquin Gomez-Estaca, Janete Chung, Seong-Chea Chua, Daniela Maria Pampanin

“…Herein, the effectiveness of astaxanthin (AX) as functional feed ingredient was assessed by enhancing its stability and bioavailability using encapsulation methods. Spray-drying and liposome entrapment were applied to a natural AX source from shrimp by-products, along with two commercially synthetic alternatives. …”
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Extract and Powder of Epilobium Angustifolium in Bakery Products by Nevskaya E., Zueva A., Belyaev A.

“…The modern food industry is currently facing the problem of the appropriate use of inexpensive and affordable domestic plant materials as an important source of vital substances. They can be used in formulations and production technologies of fortified functional foods. …”
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Spatio-Temporal Fusion of Landsat and MODIS Data for Monitoring of High-Intensity Fire Traces in Karst Landscapes: A Case Study in China by Xiaodong Zhang, Jingyi Zhao, Guanzhou Chen, Tong Wang, Qing Wang, Kui Wang, Tingxuan Miao

“…Moreover, in our karst landscape study area, our proposed Hybrid Strategy selection framework can dynamically optimize the fusion process of multi-source satellite data, which is significantly better than a single fusion strategy. (3) The dNBR-based extraction achieved 90.00% producer accuracy, 69.23% user accuracy, and a Kappa coefficient of 0.718 when validated against field data. …”
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Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs’ coordinated charging by Shuhua Gao, Yuanbin Liu, Jing Wang, Zhengfang Wang, Xu Wenjun, Renfeng Yue, Ruipeng Cui, Yong Liu, Xuezhong Fan

“…To address data scarcity issues, we introduce transfer learning, selecting the best-performing model on the target task as the source model to avoid negative transfer effects. Ultimately, the experimental results show that our proposed method achieves the best forecasting performance in the datasets in five different regions. …”
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Topology-Aware Multi-View Street Scene Image Matching for Cross-Daylight Conditions Integrating Geometric Constraints and Semantic Consistency by Haiqing He, Wenbo Xiong, Fuyang Zhou, Zile He, Tao Zhang, Zhiyuan Sheng

“…While deep learning-based image matching methods excel at extracting high-level semantic features from remote sensing data, their performance degrades significantly under cross-daylight conditions and wide-baseline geometric distortions, particularly in multi-source street-view scenarios. …”
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Construction of a Wilms tumor risk model based on machine learning and identification of cuproptosis-related clusters by Jingru Huang, Yong Li, Xiaotan Pan, Jixiu Wei, Qiongqian Xu, Yin Zheng, Peng Chen, Jiabo Chen

“…This research focuses on examining the link between WT and Cuproptosis-related genes (CRGs), with the goal of developing a predictive model for WT. Methods Four gene expression datasets related to WT were sourced from the GEO database. …”
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DFT analysis of the [3 + 2] heterocyclization reaction of ((1,2,4-triazole(1,3,4-oxadiazole)-3(2)-yl)methyl)thiopyrimidines by Yu. V. Karpenko

“…The study’s findings provide a deeper understanding of chemical transformations in heterocyclic systems and can be utilized to optimize synthetic methods in medicine, agrochemistry, and materials science. …”
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