Influence of EEG-based functional connectivity and inhibitory control on educational web search performance among adolescents by Надежда Владимировна Сутормина

“…EEG was recorded at rest with eyes closed to determine the metrics of functional connectivity in the EEG sensor space. The following connectivity metrics were used for further analysis: global efficiency, modularity, and assortativity. …”
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Functional role of cell classes in monkey prefrontal cortex after learning a working memory task by Amirreza Asadi, Christos Constantinidis, Mohammad Reza Daliri

“…Another broad-spiking subtype showed decreased baseline firing rate and variability, which may optimize neural coding efficiency. …”
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Polymer-Functionalized Magnetic Nanoparticles for Targeted Quercetin Delivery: A Potential Strategy for Colon Cancer Treatment by Júlia Borges de Macedo, Julia Narayana Schoroeder Bueno, Carla Cristine Kanunfre, José Ricardo de Arruda Miranda, Andris Figueiroa Bakuzis, Priscileila Colerato Ferrari

“…Optimized formulations had hydrodynamic diameters of 122.32 ± 8.56 nm, Zeta potentials of +30.78 ± 0.8 mV, and loading efficiencies of 80.45% (MNP-CS-Q) and 54.4% (MNP-FA-CS-Q). …”
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Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation by Mohammad Rasoolinejad, Irene Say, Peter B. Wu, Xinran Liu, Yan Zhou, Yan Zhou, Nathan Zhang, Emily R. Rosario, Daniel C. Lu, Daniel C. Lu, Daniel C. Lu

“…The findings support the integration of these advanced predictive tools in clinical settings to better guide decision making for patients and families, tailor rehabilitation plans, allocate resources efficiently, and ultimately improve patient outcomes.…”
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Exploring the nexus between hydroclimatic variability, population growth, land use land cover change, and long-term upper Nyong Basin River chemistry (Central Africa rainforest) by David Eric Komba, Gustave Raoul Nkoue Ndondo, Jean Riotte, Stéphane Audry, Bertil Nlend, Bernadette Nka Nnomo, Suzanne Ngo Boum-Nkot, Henriette Ateba Bessa, Enoh Jeanot Fongoh, Laurie Boithias, Christelle Lagane, Jules Rémy Ndam Ngoupayou, Marie Joseph Ntamak-Nida, Jacques Etame, Jean Jacques Braun

“…Abstract Hydrological and hydrogeochemical functioning of rivers depends on the relationship between climatic variability, land use and land cover change (LULCC), and population dynamics. …”
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Identification of time-varying parameters of a monthly Budyko function in US MOPEX catchments and its implications by Weibo Liu, Pan Liu, Lei Cheng, Xiaojing Zhang, Liting Zhou

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Multi-function composite data generation and PIMamba model for fault diagnosis in sucker-rod pumping wells by Senhao Ren, Wenqiang Tang, Chao Ma, Li Hou, Xiaodong Chen, Jiashan Lin, Jie Yang, Yun Yang, Xiao Huo, Guoxin Li, Daowei Zhang

“…To overcome these challenges, we propose a multi-function composite data generation paradigm that integrates diverse functional characteristics, generating 11 classes of highly interpretable single-condition images as training data for a prior model. …”
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ANALYTICAL SYNTHESIS OF FORCED PULSE ELECTRONIC DRIVE CONTROL OF A TRACKING SYSTEM by A. S. Abufanas, A. A. Lobaty, Y. F. Yacina

“…Key words: forced control, target function, electric drive, pulse train. The use of forced control makes it possible to synthesize the control law in the form of a sequence of rectangular pulses of constant amplitude determined by the power source, variable duty cycle and polarity. …”
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Correlation between Rainfall and Runoff in Fuchun River Basin Based on Copula Functions and Kernel Density Estimation by YANG Sheng-mei, ZHU De-kang, CHENG Xiang, LI Bo, ZHU Yan-ze, MA Wen-sheng

“…The Gaussian was selected to estimate the marginal distributions of hydrological variables in the Fuchun River Basin, demonstrating higher simulation accuracy without relying on any distribution assumption.(2) By estimating the Kendall and Spearman rank correlation coefficients of the bivariate functions of Gaussian-Copula, t-Copula, Clayton-Copula, Frank-Copula, and Gumbel-Copula, and comparing them with the Kendall and Spearman rank correlation coefficients of the original observed data, it was found that Gaussian-Copula and Gumbel-Copula were closer to the observed data.(3) By calculating the Euclidean distance, the fitting performance of the Copula functions was evaluated. …”
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Finding quadratic underestimators for optimal value functions of nonconvex all-quadratic problems via copositive optimization by Markus Gabl, Immanuel M. Bomze

“…Modeling parts of an optimization problem as an optimal value function that depends on a top-level decision variable is a regular occurrence in optimization and an essential ingredient for methods such as Benders Decomposition. …”
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Reliability of two-dimensional speckle tracking echocardiography in assessment of left atrial function in postmenopausal hypertensive women by M. Yu. Kolesnyk, M. V. Sokolova

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Optimization of clayey soil parameters with aeolian sand through response surface methodology and a desirability function by Ghania Boukhatem, Messaouda Bencheikh, Mohammed Benzerara, Mehmet Serkan Kırgız, N. Nagaprasad, Krishnaraj Ramaswamy, Souhila Rehab-Bekkouche, R. Shanmugam

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Optimization and Simulation of Flat Area Sites Based on Probability Matching and Transfer Intensity Using Remote Sensing Precipitation by Chen Yu, Huaiyong Shao, Xingchuan Yang, Gang Liu, Qi Xin, Jiaming Gu

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Multi-Fidelity Surrogate Modeling via Hierarchical Kriging With Infinite-Width Bayesian Neural Network Correlation Function by Youwei He, Jiangshuo Cui

“…Real engineering problems, including the aerodynamic performance prediction of single axial flow compressor rotor with 31 variables, 3-stage compressor with 144 variables, and 10.5-stage compressor of 1512 variables, are established along with the collected problems to test the performance of the proposed method. …”
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Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression by Yizi Cheng, Cole Brokamp, Erika Rasnick Manning, Elizabeth L. Kramer, Patrick H. Ryan, Rhonda D. Szczesniak, Emrah Gecili

“…Although geomarkers have been linked to pulmonary outcomes in other respiratory diseases, it is unknown which have the greatest predictive power for rapid lung function decline in CF. Methods We adapted an existing statistical procedure, which arranges candidate variables in a k-dimensional hypercube, where the hypercube forms a set of variables for a multi-stage selection process involving complex longitudinal data. …”
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Optimization algorithms for multivariate sampling reduction using spatial-temporal data by Tamara Cantú Maltauro, Luciana Pagliosa Carvalho Guedes, Miguel Angel Uribe-Opazo

“…ABSTRACT Knowing and defining the spatial and temporal variability of soil chemical properties becomes important for soil management. …”
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A three-parameter runoff probability model for long-slope croplands in the black soil region of Northeast China by Yiting Huang, Yuhao Gao, Junxi Chen, Ziheng Feng, Yi Zhang, Yangbo He, Zhengchao Tian, Lirong Lin, Jiazhou Chen

“…By extending the Sheridan framework with an exponential exfiltration function, the model estimates runoff coefficients based on slope length and soil saturation. …”
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Impact of a Multidisciplinary Functional Recovery Program on Post-Lung Transplant Outcomes: A One-Year Follow-Up by Diana-Lidia Tache-Codreanu, Iuliana David, Dan Corneliu Blendea, Ana-Maria Tache-Codreanu, Maria-Veronica Morcov, Andrei Tache-Codreanu, Corina Sporea

“…Lung transplantation (LT) is a life-saving procedure for patients with end-stage respiratory diseases. Functional recovery post-LT is influenced by multiple factors, including graft integration, physical rehabilitation, and individual variability. …”
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Weighted average ensemble for Cholesky-based covariance matrix estimation by Xiaoning Kang, Zhenguo Gao, Xi Liang, Xinwei Deng

“…Our key idea is to obtain different weights for different candidate estimates by minimizing an appropriate risk function with respect to the Frobenius norm. Different from the existing ensemble estimation based on the MCD, the proposed method provides a sparse weighting scheme such that one can distinguish which variable orderings employed in the MCD are useful for the ensemble matrix estimate. …”
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On optimum multi‐input multi‐output radar signal design: Ambiguity function, manifold structure and duration‐bandwidth by Yuqing Liu, Jia Xu, Kon Max Wong, Timothy N. Davidson

“…In either case, the signal optimisation problem is non‐convex in the design variables, involving, respectively, a quartic and a square‐root objective function. …”
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