Nature of viruses and the radical change in viral taxonomy by V. V. Makarov, L. P. Buchatsky

“…The concepts of the origin of viruses and their relation to the Universal Tree of Life are formulated. In this regard, the International Committee on the Taxonomy of Viruses (ICTV) changed the previous Code of their classification hierarchy from five ranks to a fifteen-rank one, that emulates a Linnaean framework and accommodates the entire spectrum of genetic divergence in the virosphere. …”
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Numerical Simulation Study on Directional Solidification of DD5 Nickel-Based Single-Crystal Turbine Blades by Jianhui Wei, Min Lu, Libo Pi, Huan Zhao, Qian Lei

“…Two models with a wax module tree structure were employed for directional solidification simulation. …”
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The Role of Mangrove Vegetation in Supporting Birdlife Diversity in Coastal Habitats, Study Case Benoa, Bali by Christy Shanie Avissa Nathanya, Saptarini Dian

“…Point counts and line transects were utilized to obtain data to observe bird communities, and plot sampling was used to evaluate the characteristics of the mangrove vegetation, including species composition, tree height, and density. Bird diversity was analyzed using the Shannon-Weiner IndexThis study found that the mangrove species identified included Thespesia populnea, Avicennia lanata, A. marina, Rhizophora apiculate, R. stylosa, R. mucranata, Sonneratia alba, Xylocarpus granatum, Aegiceras corniculatum, Ceriops tagal, and Lumnitzera racemose. …”
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Herding unmasked: Insights into cryptocurrencies, stocks and US ETFs. by An Pham Ngoc Nguyen, Martin Crane, Thomas Conlon, Marija Bezbradica

“…For a deeper investigation, we adopt graph-based techniques including the Minimum Spanning Tree and Louvain community detection to partition the combination into smaller subsets to detect herding behavior for each subset. …”
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Genome-wide analysis and characterization of TPD1 family proteins in pearl millet (Cenchrus americanus): Insights into reproductive regulation and phytohormone responses. by Zainab M Almutairi

“…Screening of cis-elements in the promoter of CaTPD1s revealed various cis-elements related to phytohormone regulation, wound response, abiotic stress defense, and light response. The phylogenetic tree revealed distinct clustering of CaTPD1_Ch6 and CaTPD1_Ch5 among the other CaTPD1s, which revealed close relationships with the orthologs from Arabidopsis and rice that are known to have a critical role in tapetum development and pollen and ovule production. …”
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Privacy-Preserving Efficient Data Retrieval in IoMT Based on Low-Cost Fog Computing by Na Wang, Yuanyuan Cai, Junsong Fu, Jie Xu

“…In addition, this paper uses range tree to build an index for storing physiological data vectors, and meanwhile a range retrieval method is also proposed to improve data search efficiency. …”
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Minimum-Cost QoS-Constrained Deployment and Routing Policies for Wireless Relay Networks by Frank Yeong-Sung Lin, Chiu-Han Hsiao, Kuo-Chung Chu, Yi-Heng Liu

“…In the planning stages, we not only derive a multicast tree routing algorithm to both determine and fulfill the QoS requirements to enhance throughput, but we also utilize the Lagrangian relaxation (LR) method in conjunction with optimization-based heuristics and conduct computational experiments to evaluate the performance. …”
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A Prediction Model Optimization Critiques through Centroid Clustering by Reducing the Sample Size, Integrating Statistical and Machine Learning Techniques for Wheat Productivity by Muhammad Islam, Farrukh Shehzad

“…This research is taken as follows: firstly three more effective numerical optimized datasets are generated (D1, D2, and D3) from D1 by taking the centroid points of features which decrease the sample size; secondly MLM is integrated with the traditional statistical models (TSMs) for multiple linear regression (MLR), and thirdly decision tree regression (DTR) and random forest regression (RFR) are deployed to get the optimized models able to predict the wheat productivity well with 75% datasets to train and 25% to test the model using the evaluation metrics (R2, RMSE), information criterion (AIC) with weights (AICW), evidence ration (E.R), and decompositions of prediction error. …”
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Die Suid-Afrikaanse - Uitsaaiwese by Pieter Jacobus Fourie

“…Trouens, juis die bogenoemde fak- tore gee daartoe aanleiding dat openbare uitsaaldienste sterker na vore tree en beskerm moet word as opvoedkundige, kulturele en on- twikkeingsmedia. …”
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Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

“…Three types of machine learning classifiers are used: Tree-based, Function-based, and Rule-based. Results have shown that Stochastic Gradient Descent (function), Logistic Regression (function), JRip (rules) and Random Forests (trees) are among the top performing classifiers. …”
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Predictive analysis of ratings of perceived exertion in elite Gaelic football by Dermot Sheridan, Aidan J. Brady, Dongyun Nie, Mark Roantree

“…Data were analysed using decision tree, random forest (RF), and bootstrap aggregation (BS) models. …”
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Tritrophic associations and identification key for European species of the genus Binodoxys (Mackauer) (Hymenoptera: Braconidae: Aphidiinae) by Lazarević Maja J., Žikić Vladimir A., Milenković Darija N., Tomanović Željko M.

“…Based on the available molecular data, we constructed a maximum likelihood tree for six European species. Several new hosts were identified for the first time, and the geographical distribution of one species was broadened. …”
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The structure of egg batches, number of eggs and egg hatching rates of pine processionary moth Thaumetopoea pityocampa (Denis & Schiffermüller, 1775) / Thaumetopoea wilkinsoni Tams... by Cansu Keleş, Saliha Voyvot, Ertuğrul Bilgili

“…The average number of eggs collected in lower, middle and upper parts of tree crowns were 185,8, 167,0 and 201,7 (mean=184,8); and the rate of hatching was 67,0%, 64,7% and 69,3% (mean=66,9%), respectively. …”
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Distributed Compressed Video Sensing in Camera Sensor Networks by Yu Liu, Xuqi Zhu, Lin Zhang, Sung Ho Cho

“…The DCVS scheme using SI-BP is designed over two frame signal models, the mixture Gaussian (MG) model and the wavelet hidden Markov tree (WHMT) model. Simulation results evaluated on two video sequences illustrate that the SI-BP-based DCVS scheme is error resilient when the measurements are transmitted through the noisy wireless channels.…”
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Evolution and Influencing Factors of Township Spatial Form: A Two-Dimensional Perspective by Yanpeng Gao, Wenjun Chen

“…From 2009‒2019, the integration level of the subdistrict improved and the scale and number of integration axis increased, forming a multicore tree-shaped structure. Pearson’s correlation analysis showed that urbanization is the main factor affecting the spatial and temporal land-use evolution, with transportation convenience, industrial park, and proximity to the river having little effects. …”
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Assessment of Flood Awareness and Early Warning Systems: The Case of Beşikdüzü, Trabzon by Tuğçe Anılan, Hilal Durmuş, Emre Akçalı, Ömer Yüksek

“…The tendency to take action upon receiving early warnings or not, was evaluated on an event tree, and the factors depending on taking action were examined. …”
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Efficacy of Neem Oil on Cardamom Thrips, Sciothrips cardamomi Ramk., and Organoleptic Studies by Johnson Stanley, G. Preetha, S. Chandrasekaran, K. Gunasekaran, S. Kuttalam

“…The neem tree contains promising pest control substances which are effective against many pests. …”
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A Power-Efficient Soft-Output Detector for Spatial-Multiplexing MIMO Communications by Hsiao-Chi Wang, Tung-Lin Liu, Yuan-Wei Wu, Hsi-Pin Ma

“…VLSI implementation of a configurable power-efficient MIMO detector is proposed to support 4×4 spatial multiplexing and modulation from QPSK to 64-QAM. A novel tree search algorithm is proposed to enable the detector to provide soft outputs and to be implemented in parallel and pipelined hardware architecture. …”
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Early Warning System for Debt Group Migration: The Case of One Commercial Bank in Vietnam by Nguyen Quoc Hung, Trinh Hoang Viet, Phuong Truong Viet, Ly Truong Thi Minh

“…This study utilizes machine learning models, including Logistic Regression, Support Vector Machine, Decision Tree, and Random Forest, in the early warning system for debt group migration in a Vietnamese commercial bank. …”
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Ensemble learning-based predictor for driver synonymous mutation with sequence representation. by Chuanmei Bi, Yong Shi, Junfeng Xia, Zhen Liang, Zhiqiang Wu, Kai Xu, Na Cheng

“…Subsequently, we propose EPEL, an effect predictor for synonymous mutations employing ensemble learning. EPEL combines five tree-based models and optimizes feature selection to enhance predictive accuracy. …”
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