Hydrodynamic characterization of the redox chemistry of crown-encapsulated uranyl complexes by Alexander C. Ervin, James D. Blakemore

“…Rotating disk electrode (RDE) studies have been used to quantify the diffusion coefficients of the U(VI) and U(V) complexes, and standard heterogeneous electron transfer rate constants (k0) for the redox have been determined using a conventional Koutecký-Levich analysis. …”
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The Utilization of Partial Least Squares for Simultaneous Feature Selection and Extraction by Elisavet Beki, Ntotsis Kimon

“…However, Partial Least Squares can be a challenging procedure especially in the case of multivariate multiple regression due to data characteristics and complexity. Thus, in this work we propose the use of Partial Least Squares method as a variable selection technique in linear regression tasks that involve high dimensional spectral data sets. …”
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Assessmentof seed productivity of complex hybrid populations of red clover by I. V. Shikhova, E. V. Popova, E. G. Arzamasova

“…In the conditions of the Kirov region, the productivity of seeds of four complex hybrid populations (SGP) of red clover was studied, including those formed against an infectious fusarium background (SGPF). …”
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Study of Complex Impedance Dispersion Model for Two-Phase Laminar Flow by CHENG Linfeng, KE Shizhen, SHI Hongwei, ZHANG Yuhang, LUO Hu, TAO Jie

“…Therefore, it is imperative to identify a more cost-effective and efficient measurement method. Complex impedance spectrum (CIS) detection technology emerges as a promising solution, offering advantages such as low cost, easy implementation, environmental friendliness, and safety. …”
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Key nodes identification in complex networks based on subnetwork feature extraction by Luyuan Gao, Xiaoyang Liu, Chao Liu, Yihao Zhang, Giacomo Fiumara, Pasquale De Meo

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Selection strategy for grain quality traits in upland rice breeding programs by Camila Soares Cardoso da Silva Reis, Yasmin Vasques Berchembrock, Amanda Mendes de Moura, Priscila Zaczuk Bassinello, Cristian Tiago Erazo Mendes, Gleice Aparecida da Silva Lima, Jocilene dos Santos Pereira, Flávia Barbosa Silva Botelho

“…ABSTRACT The evaluation of grain quality traits is essential in rice breeding programs. However, their complexity and multitude of components make the process challenging. …”
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Spectral Efficiency of Wireless Relay Network in Frequency Non-Selective Channel by E. A. Mavrychev, E. N. Pribludova, S. B. Sidorov

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Hybrid Methods for Selecting Precast Concrete Suppliers Based on Factory Capacity by Mohammed I. Aldokhi, Khalid S. Al-Gahtani, Naif M. Alsanabani, Saad I. Aljadhai

“…Supplier selection is one of the critical processes that entail multiple complex deliberations. …”
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A Decision Support System for Optimal Building Cold Source Selection by Qing Li, Yan Dong, Rong-Guang Cao, Le Li, Zhi-Bin Chen

“…It also confirms that the proposed decision support system can identify the modes with the highest value coefficients, which is one of the most effective methods for selecting a building cold source system scheme. …”
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Deposit thickness control of the heat exchange equipment by hardware and software complex by E. V. Garnyshova, E. V. Izmaylova, Yu. V. Vankov

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Income inequality and economic complexity in Africa: the moderating role of governance quality by Amsalu Bedemo Beyene

“…This study examines the relationship between economic complexity and income inequality in 24 selected African countries. …”
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A novel strategy to precisely adjust partition coefficient, effectively eliminate matrix interference and achieve accurate and fast gold immunochromatographic assay of ethoxyquin i... by Qifan Sun, Lin Zhang, Shaoen Zhang, Qingzhou Chen, Jinjun Ying, Hong Lin, Jianxin Sui, Kaiqiang Wang, Xiudan Wang, Limin Cao

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Intelligent Feature Selection Ensemble Model for Price Prediction in Real Estate Markets by Daniel Cristóbal Andrade-Girón, William Joel Marin-Rodriguez, Marcelo Gumercindo Zuñiga-Rojas

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Youth Involvement in Pornography and Academic Engagement in Selected Secondary Schools in Kabale Municipality. by Kanyesigye, Bens Rogers

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Intrusion detection method for IoT in heterogeneous environment by LIU Jing, MU Zelin, LAI Yingxu

“…In order to address the issue of inadequate training efficiency and subpar model performance encountered by Internet of things (IoT) devices when dealing with resource constraints and non-independent and identically distributed (Non-IID) data, a novel personalized pruning federated learning frame work for IoT intrusion detection was put forth. Initially, a channel importance scoring-based structured pruning strategy was proposed, facilitating the generation of sub-models to be disseminated to resource-limited clients, thereby harmonizing model accuracy and complexity. …”
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Spatial Heterogeneity of Habitat Selection of Large Carnivores and Their Ungulate Prey in Proximity to Roads by Xuankai Liang, Zexu Long, Shiyu Chen, Jinzhe Qi, Buyi Sun, Nathan James Roberts, Heng Bao, Guangshun Jiang

“…Our results suggest that the factors affecting the spatial distribution of predators are more complex than those for prey. More significantly, the selection coefficients of roe deer and wild boar for certain habitat factors serve as crucial explanatory variables in the Amur tiger and leopard models. …”
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A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects by Yanxi Xie, Yuewen Li, Zhijie Xia, Ruixia Yan, Dongqing Luan

“…Reinforcement learning algorithms present a major challenge in complex dynamics recently. In the perspective of variable selection, we often come across situations where too many variables are included in the full model at the initial stage of modeling. …”
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Linear viscoelastic models from creep and complex modulus testing in soil-emulsion by Paulo Mateus Barros Rodrigues, Silvrano Adonias Dantas Neto, Lucas Feitosa de Albuquerque Lima Babadopulos, Jorge Luiz Oliveira Lucas Júnior

“…Test samples were then exposed to air until a constant density loss was detected, followed by conducting complex modulus tests at thirty different temperature-frequency pairs. …”
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PROGRAM COMPLEX FOR THE CALCULATION AND DESIGN OF ACTIVE FILTERS BASED ON THE E-LAYER MODEL by V. A. Pylsky, A. G. Yakunin

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Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features by Tianning Li, Yi Huang, Peng Wen, Yan Li

“…A random forest regression model was employed to estimate anesthetic states, and an unsupervised learning method using the Hurst exponent algorithm and hierarchical clustering was introduced to detect transitions between anesthesia states. The method was tested on two independent datasets (UniSQ and VitalDB), achieving an average Pearson correlation coefficient of 0.86 and 0.82, respectively. …”
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