Airport Arrival Flow Prediction considering Meteorological Factors Based on Deep-Learning Methods by Zhao Yang, Yifan Wang, Jie Li, Liming Liu, Jiyang Ma, Yi Zhong

“…The prediction performance is compared with benchmark methods including backpropagation neural network, LSTM neural network, support vector machine, gradient boosting regression tree, and XGBoost. The results show that the proposed LSTM-XGBoost model outperforms baseline and state-of-the-art neural network models.…”
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Planning for success but facing uncertainty: lessons learned from a native oyster, Ostrea lurida, restoration project in the Salish Sea by James T. McArdle, Julie S. Barber, Sarah K. Grossman, Lindy L. Hunter

“…With an intended goal of creating self-sustaining Olympia oyster populations in a target region in Puget Sound, the Swinomish Indian Tribal Community began reestablishing Olympia oysters at two different sites, Kiket and Lone Tree, from 2015-2017. One of our primary objectives was to quantify the biological successes or failures of our reestablished populations. …”
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Modeling Soil Behavior with Machine Learning: Static and Cyclic Properties of High Plasticity Clays Treated with Lime and Fly Ash by Gebrail Bekdaş, Yaren Aydın, Sinan Melih Nigdeli, İnci Süt Ünver, Wook-Won Kim, Zong Woo Geem

“…ML techniques used for regression (such as Decision Tree Regression (DTR) and K-nearest neighbors (KNN)). …”
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Exploration of Key Factors in the Preparation of Highly Hydrophobic Silica Aerogel from Rice Husk Ash Assisted by Machine Learning by Yun Deng, Ziyan Sha, Xingxing Wang, Ke Duan, Weijie Xue, Ian Beadham, Xiaolan Xiao, Changbo Zhang

“…The results indicate that the decision tree regression model provides the most accurate predictions for the extraction rate and modulus of water glass. …”
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Robot Dynamic Path Planning Based on Prioritized Experience Replay and LSTM Network by Hongqi Li, Peisi Zhong, Li Liu, Xiao Wang, Mei Liu, Jie Yuan

“…First, Prioritized Experience Replay (PER) is utilized to prioritize experience data and optimize storage and sampling operations through the SumTree structure, rather than the conventional experience queue. …”
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Fast and accurate imputation of genotypes from noisy low-coverage sequencing data in bi-parental populations. by Cécile Triay, Alice Boizet, Christopher Fragoso, Anestis Gkanogiannis, Jean-François Rami, Mathias Lorieux

“…<h4>Availability</h4>NOISYmputer and its source code are available as a multiplatform (Linux, macOS, Windows) Java executable at the URL https://gitlab.cirad.fr/noisymputer/noisymputerstandalone/-/tree/1.0.0-RELEASE?reftype=tags.…”
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Network analyses of brain tumor multiomic data reveal pharmacological opportunities to alter cell state transitions by Brandon Bumbaca, Jonah R. Huggins, Marc R. Birtwistle, James M. Gallo

“…Simulation results were input into a boosted tree machine learning model which predicted the cell states or phenotypes of GBM patients from an independent public data source, the Glioma Longitudinal Analysis (GLASS) Consortium. …”
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Desiccation as a suitable alternative to cold-storage of phyllosphere samples for DNA-based microbial community analyses by Emily Smenderovac, Karelle Rheault, Marie-Ange Moisan, Caroline Emilson, Élodie Brazeau, Marie-Josée Morency, Patrick Gagné, Vincent Maire, Erik Emilson, Lisa Venier, Christine Martineau

“…There were some changes in the communities compared to immediate extraction due to this treatment, but these changes did not affect the ability to distinguish tree species and sampling locations. Overall, our study supports the use of silica gel pack short term preservation at ambient temperature for phyllosphere samples intended for DNA-based microbial community analyses.…”
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Mg-Al Mixed Oxide Adsorbent Synthesized Using FCT Template for Fluoride Removal from Drinking Water by Jifa Liu, Ping Zhao, Yue Xu, Xibin Jia

“…To make full use of natural waste, a novel Mg-Al mixed oxide adsorbent was synthesized by the dip-calcination method using the fluff of the chinar tree (FCT) and an Mg(II) and Al(III) chloride solution as raw materials. …”
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Impact of Agro-forestry on Soil Conservation in Kayonza Subcounty: A Case Study of Rutendere Parish. by Ayebale, Anxious

“…The objectives of the study were, to find out different economic activities that contribute to soil degradation and other methods of soil conservation other than agroforestry, and to find out different agro-forestry tree species that contribute to soil productivity in the Kayonza sub-county. …”
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Mangrove plants using deoxyribonucleic acid barcodes for enhancing biodiversity and conservation by M. Basyuni, R. Syahbana, A.B. Rangkuti, N.A. Pradisty, A. Susilowati, L.A.M. Siregar, S.S. Al Mustaniroh, A.A. Aznawi, A. Mubaraq, E.R. Ardli, S.H. Larekeng, V. Leopardas, Y. Isowa, T. Kajita

“…This study aimed to address the lack of reference deoxyribonucleic acid barcodes from mangroves in North Sumatra and Aceh and assess the effectiveness of four deoxyribonucleic acid barcoding methods in terms of primer universality, successful identification rate, barcoding gap and species-tree inference, and then phylogenetic tree construction. …”
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Computer simulation of the soil water regime under an apple orchard in a mountainous area (using the example of the leached chernozem of the experimental agricultural station Gorno... by Svetlana V. Baboshkina, Olga A. Elchininova, Alexander V. Puzanov, Tamara A. Rozhdestvenskaya

“…The moisture of the lower horizons, where the bulk of tree roots are concentrated, is satisfactory. The model demonstrates the smallest discrepancies with the moisture values measured during the soil reclamation experiment one day after the start. …”
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Milk adulteration identification using hyperspectral imaging and machine learning by Muhammad Aqeel, Ahmed Sohaib, Muhammad Iqbal, Syed Sajid Ullah

“…Machine learning techniques (logistic regression, decision tree, support vector machine, and linear discriminant analysis [LDA]), are employed, with LDA excelling in adulteration identification by learning the spectral signatures. …”
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Diversity and Abundance of the Species of Arboreal Mammals in a Tropical Rainforest in Southeast Mexico by J. Vladimir Rojas‐Sánchez, Rosamond Ione Coates, Víctor Sánchez‐Cordero, Mario C. Lavariega, José J. Flores‐Martínez

“…To estimate the influence of spatial and tree morphology on arboreal use by mammals, a Principal Component Analysis was performed. …”
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Prediction of Liver Steatosis and Fibrosis Based on Clinical Variables Using a Large National Survey Database by Yanal Alnimer, Touleen Alnimer

“…A Naïve Byes classifier and decision trees were used to calculate the predicted probabilities of liver steatosis and fibrosis. …”
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Mitogenomic Phylogenetic Analyses Reveal New Insights into the Taxonomy and Evolution of Parnassiinae Swallowtail Butterflies (Lepidoptera: Papilionidae) by Lu Song, Xiaoxiao Chen, Xiushan Li, Raul Narciso C. Guedes, Youssef Dewer, Suqin Shang, Jingjiang Zhou

“…Phylogenetic analyses based on both the 13 PCGs and the complete set of 37 mitochondrial genes supported the placement of Parnassiinae as a subfamily within Papilionidae, with Parnassini and Zerynthini identified as two distinct clades within Parnassiinae. Notably, tree topologies derived from the 13 PCGs alone exhibited slight deviations from those based on the full mitogenome, underscoring the need for expanded mitogenomic data across Papilionidae to further refine evolutionary relationships.…”
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Identification and aroma characteristics of various tea types produced from ‘Yiluxiang’ and ‘Yelaixiang’ tea varieties by YOU Xiaomei, LI Xinlei, CHEN Zhihui, KONG Xiangrui, SHAN Ruiyang, CHEN Changsong

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Multilocus Sequence Typing for Interpreting Blood Isolates of Staphylococcus epidermidis by Prannda Sharma, Ashley E. Satorius, Marika R. Raff, Adriana Rivera, Duane W. Newton, John G. Younger

“…Three machine learning algorithms (classification regression tree, support vector machine, and nearest neighbor) were employed. …”
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Screening of household contacts for TB infection in Cote d'Ivoire by R. K. N’Guessan, D. A. B. Orsot, J.M. Ahui Brou, N. K. Bamba, M. E. Tchoutedjem Mefo, A. S. Bakayoko

“…Principal outcomes relating to TBI screening, as well as the lifetime costs and benefits of the patient cohort, were captured using a decision tree, followed by a Markov model. RESULTS: QuantiFERON proved to be both more effective and less costly than TST. …”
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A graph neural network approach for hierarchical mapping of breast cancer protein communities by Xiao Zhang, Qian Liu

“…Results Using a large amount of publicly available proteomics data, we created a hierarchical tree for breast cancer protein communities using a novel hierarchical graph neural network, with the supervision of gene ontology terms and assistance of a pre-trained deep contextual language model. …”
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