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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Fractional hitting sets for efficient multiset sketching by Timothé Rouzé, Igor Martayan, Camille Marchet, Antoine Limasset

“…Abstract The exponential increase in publicly available sequencing data and genomic resources necessitates the development of highly efficient methods for data processing and analysis. Locality-sensitive hashing techniques have successfully transformed large datasets into smaller, more manageable sketches while maintaining comparability using metrics such as Jaccard and containment indices. …”
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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 present research featured the development and assessment of the quality of wheat bread fortified with willow weed (Epilobium Angustifolium). Study objects and methods. Samples of wheat bread were prepared from wheat baking flour of the highest grade. …”
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An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records by Hongnian Wang, Mingyang Zhang, Liyi Mai, Xin Li, Abdelouahab Bellou, Lijuan Wu

“…As the number of top-ranking features increased, the models’ accuracy began to stabilize, while feature subset stability (considering sample variations) and inter-method feature similarity reached optimal levels, confirming the validity of the FS framework. …”
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Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems by William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, Carlos Frederico de Oliveira Barros, Rodolfo Cardoso, Gabriel Villarrubia Gonzalez

“…The major contribution of this paper is related to improving forecasting using a hybrid method that outperforms other models based on deep learning. …”
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Extracting individual trajectories from text by fusing large language models with diverse knowledge by Le Liu, Tao Pei, Zidong Fang, Xiaorui Yan, Chenglong Zheng, Xi Wang, Ci Song, Wenfei Luan, Jie Chen

“…Central to T2TrajLLM is a prompt method that dynamically fuses these components with LLMs while avoids rigid rule dependency. …”
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Accurate and Robust Train Localization: Fusing Degeneracy-Aware LiDAR-Inertial Odometry and Visual Landmark Correction by Lin Yue, Peng Wang, Jinchao Mu, Chen Cai, Dingyi Wang, Hao Ren

“…Next, a kilometer post factor is constructed, and multi-source information is optimized within a factor graph framework. …”
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Research and Experimentation on Acoustic Monitoring Technology for Laser Drilling Penetration by Bowen Lian, Kewen Pan, Liqun Wang, Liwu Shi, Jianhua Yao, Wei Guo

“…This study proposes a laser drilling penetration monitoring method based on acoustic principles. First, the acoustic module parameters of the system were simulated and calibrated using COMSOL Multiphysics (version 6.1) software, resulting in an optimal sound source frequency of 35 kHz and an incident angle of 30° for the acoustic waves. …”
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3D-printed rice cake for dysphagia diet: Effect of rice flour/κ-carrageenan/curdlan complex gel on structure, swallowability, and storage by Jiyoon Kim, Jung Soo Kim, Kwang-Deog Moon

“…They are an excellent source of carbohydrates and can be used as a staple food. …”
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A multidisciplinary and structured approach for comprehensive evaluation of functional outcomes, adverse events, psychosocial outcomes and health-related quality of life after loca... by Leonie G. Tigelaar, Lianne M. Haveman, Willem P. Bekkering, Irene L. B. Oude Lansink, Christel D. Rohrich, Hinke Van der Hoek, Laura R. Beek, Jennifer Van Dijk, Marjolein E. M. Langemeijer, Relinde W. Slooff-Lentink, Alied M. Van der Aa-Van Delden, Heleen Maurice-Stam, Annemarie M. L. Peek, Helena J. H. Van der Pal, Maria M. W. Koopman, Leontien C. M. Kremer, Stijn J. Westerbos, Harm Van Tinteren, Jos A. M. Bramer, Jos A. M. Bramer, Michiel A. J. Van de Sande, Michiel A. J. Van de Sande, Martha A. Grootenhuis, Hendrik W. B. Schreuder, Hendrik W. B. Schreuder, Johannes H. M. Merks, Johannes H. M. Merks

“…This study protocol describes the methodology of a cross-sectional study that aims to systematically report the functional outcomes, adverse events, psychosocial outcomes and health-related quality of life of the cohort seen at this clinic.Methods and analysisParticipants are recruited at the multidisciplinary follow-up clinic and their consent is obtained. …”
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Multi-risk-scenarios flexibility evaluation model of regional power grid considering economic efficiency of dispatching measures by ZHOU Qihang, GUAN Lin, XIAN Weihong, XUAN Peizheng, CHENG Lanfen, LI Zixi

“…In face of the uncertainty of new energy power, quick and accurate identification of the overload risk scenarios, and optimal utilization of various flexible resources from the source-grid-load parties to eliminate potential operational risks, are the urgent demands for the secure operation of the regional power grids. …”
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Fitting nonlinear double sigmoid models to macauba fruit growth data using Bayesian inference by Edilene Cristina Pedroso Azarias, Natiele de Almeida Gonzaga, Édipo Menezes da Silva, Edilson Marcelino Silva, Tales Jesus Fernandes, Joel Augusto Muniz

“…Statistical analyses were conducted in the R software, and the weighted resampling method was used. The Criterion of density Predictive Ordered (CPO) and deviance information criterion (DIC) were used to select the models. …”
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RFSoC Modulation Classification With Streaming CNN: Data Set Generation & Quantized-Aware Training by Andrew Maclellan, Louise H. Crockett, Robert W. Stewart

“…Evaluated on AMD’s RFSoC2x2 development board, the design integrates General Matrix Multiplication (GEMM) optimisations and fixed-point arithmetic. We also present a method for creating Deep Learning (DL) data sets for wireless communications, incorporating the RFSoC into the data generation loop. …”
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Application of PS2M Aptamer as Receptor Layer for Electrochemical Detection of Lead Ions by Izabela Zaras, Olga Kujawa, Marcin Olszewski, Marta Jarczewska

“…Herein, we present studies on the electrochemical detection of lead ions using PS2M aptamer, which contains several guanine nucleotides, as the receptor element. Firstly, the method of aptamer-based layer fabrication was optimized along with the choice of a redox active indicator, which was a source of current signal. …”
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An Enhanced Approach for Remaining Useful Life Prediction of Bearings Using Incomplete Lifecycle Data by Xunmeng An, Chao Zhang, Caiye Liu, Wentao Zhao

“…Accurately predicting the remaining useful life (RUL) of rolling bearings is crucial for ensuring optimal equipment operation and timely maintenance. …”
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Analysis of the main approaches to modeling management processes for special-purpose organizational and technical systems by A. V. Melnikov, A. A. Karavaev, A. O. Zheleznyakov

“…This circumstance will allow us to further develop methodological recommendations to improve the efficiency and validity of management decisions.Method. This work uses: formal models, structural models of objects, models under conditions of complete certainty, models under conditions of risk using a decision tree, models under conditions of uncertainty, mathematical programming models, quality models, efficiency models.Result. …”
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Exploring Task-Related EEG for Cross-Subject Early Alzheimer’s Disease Susceptibility Prediction in Middle-Aged Adults Using Multitaper Spectral Analysis by Ziyang Li, Hong Wang, Jianing Song, Jiale Gong

“…Time–frequency features were extracted using the Multitaper method, followed by multidimensional reduction techniques. …”
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Exploring Biomass Waste-Derived Biochar as a Catalyst for Levulinic Acid Conversion to γ-Valerolactone: Insights into Synthesis, Characterization, and Catalytic Performance by Joao Carlos Alves Macedo, Maryam Shirinkar, Richard Landers, André Henrique Rosa

“…The gelification method using alginate enhanced the ruthenium and iron content on the surface of the biochar. …”
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Evolution and Attribution Analysis of Habitat Quality in China’s First Batch of National Parks by Pengyue Dai, Yanfang Wang, Jinhong Ye, Jing Chen, Runze Li, Xiping Cheng

“…By integrating the land use transfer matrix with the InVEST model, we quantified habitat quality changes, while the geographical detector method was employed to analyze the key natural and socioeconomic drivers. …”
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