Venlafaxine vs. fluoxetine in postmenopausal women with major depressive disorder: an 8-week, randomized, single-blind, active-controlled study by Jingjing Zhou, Xiao Wang, Lei Feng, Le Xiao, Rui Yang, Xuequan Zhu, Hui Shi, Yongdong Hu, Runsen Chen, Philip Boyce, Gang Wang

“…The primary endpoint measurements were analyzed using a mixed-effect model for repeated measures (MMRM) model with patients as a random-effect factor, treatment group as the independent variable, time as a repeated measure, and baseline covariates, using a first-order ante dependence covariance matrix. Results A total of 184 women were randomized. …”
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Towards an improvement of optically stimulated luminescence (OSL) age uncertainties: modelling OSL ages with systematic errors, stratigraphic constraints and radiocarbon ages using... by G. Guérin, G. Guérin, C. Lahaye, M. Heydari, M. Autzen, M. Autzen, J.-P. Buylaert, J.-P. Buylaert, P. Guibert, M. Jain, S. Kreutzer, S. Kreutzer, B. Lebrun, A. S. Murray, K. J. Thomsen, P. Urbanova, A. Philippe

“…Finally, we discuss other common ways of estimating dose rates and how they may be taken into account in the covariance matrix by other potential users and laboratories. …”
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Benefit of ozone observations from Sentinel-5P and future Sentinel-4 missions on tropospheric composition by S. Quesada-Ruiz, S. Quesada-Ruiz, S. Quesada-Ruiz, J.-L. Attié, W. A. Lahoz, R. Abida, P. Ricaud, L. El Amraoui, R. Zbinden, A. Piacentini, M. Joly, H. Eskes, A. Segers, L. Curier, J. de Haan, J. Kujanpää, A. C. P. Oude Nijhuis, J. Tamminen, R. Timmermans, P. Veefkind

“…The background error covariance matrix does not evolve in time and its variance is proportional to the field values. …”
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An Optimized Method for 3<i>D</i> Magnetic Navigation of Nanoparticles inside Human Arteries by Evangelos Karvelas, Christos Liosis, Andreas Theodorakakos, Ioannis Sarris, Theodoros Karakasidis

“…The present model use Computational Fluid Dynamics <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>C</mi><mi>F</mi><mi>D</mi><mo>)</mo></mrow></semantics></math></inline-formula> and Discrete Element Method <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>D</mi><mi>E</mi><mi>M</mi><mo>)</mo></mrow></semantics></math></inline-formula> techniques along with Covariance Matrix Adaptation <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>C</mi><mi>M</mi><mi>A</mi><mo>)</mo></mrow></semantics></math></inline-formula> evolution strategy for the evaluation of the optimal values of the gradient magnetic field. …”
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Motivated attention and family risk for depression: Neuronal generator patterns at scalp elicited by lateralized aversive pictures reveal blunted emotional responsivity by Jürgen Kayser, Craig E. Tenke, Karen S. Abraham, Daniel M. Alschuler, Jorge E. Alvarenga, Jamie Skipper, Virginia Warner, Gerard E. Bruder, Myrna M. Weissman

“…Component scores of prominent CSD-tPCA factors sensitive to emotional content were analyzed via permutation tests and repeated measures ANOVA for mixed factorial designs with unstructured covariance matrix, including gender, age and clinical covariates. …”
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Sparse Bayesian information filters for localization and mapping by Walter, Matthew R

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Robust support identification for direction-of-arrival estimation and EIT application by Borijindargoon, Narong

“…It was also compared with the conventional MUSIC algorithm coupled with a pre-conditioned covariance matrix.…”
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Visual inertial odometry and lidar inertial odometry for mobile robot by Henawy, John Farid Nasry

“…Based on that, a novel IMU factor was formulated as a closed-form discrete factor to compute the mean measurements, covariance matrix and Jacobians. As such, the proposed model is more accurate and more efficient for online state estimation than the state-of-the-art. …”
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Transceiver optimization for multi-user systems : rate improvement and degrees of freedom characterization by Zeng, Yong

“…The additional degree of freedom in the pseudo-covariance matrix, which is conventionally set to be zero for the case of proper Gaussian signaling, provides an opportunity to further improve the achievable rates of Gaussian MIMO-ICs by employing improper Gaussian signaling. …”
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Grouping features in big dimensionality by Zhai, Yiteng

“…Based on the observation of the growing trend of big dimensionality on modern databases, existing approaches that require the calculations of pairwise feature correlations in their algorithmic designs have scored miserably, since computing the full correlation/covariance matrix (i.e., square of dimensionality in size, where million features would translate to trillion correlation computations) can become computationally very impractical. …”
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Extensão bivariada do índice de confiabilidade univariado para avaliação da estabilidade fenotípica Bivariate extension of univariate reliability index for evaluating phenotypic st... by Suzankelly Cunha Arruda de Abreu, Daniel Furtado Ferreira, Fábio de Lima Gurgel, Ângela de Fátima Barbosa Abreu

“…Considering the standardized values, the genotypes mean vector and covariance matrix were estimated. The theoretical derivation of the bivariate reliability index (Ii) of Annicchiarico was wasked out and a second risk index was proposed based on the bivariate probabilities (Prb i); the two indexes proposed has shown good agreement to the results in an example with melon genotypes.…”
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Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations by X. Tian, X. Tian, Y. Wang, Y. Wang, S. Beirle, P. Xie, P. Xie, P. Xie, P. Xie, T. Wagner, J. Xu, A. Li, S. Dörner, B. Ren, B. Ren, X. Li

“…For the optimal estimation algorithm, the agreement with the input values can be improved by optimizing the covariance matrix of the a priori uncertainties. Second, the aerosol effects on the NO<span class="inline-formula">₂</span> profile retrieval were tested. …”
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Quijote-PNG: The Information Content of the Halo Mass Function by Gabriel Jung, Andrea Ravenni, Marco Baldi, William R Coulton, Drew Jamieson, Dionysios Karagiannis, Michele Liguori, Helen Shao, Licia Verde, Francisco Villaescusa-Navarro, Benjamin D. Wandelt

“…The choice of adding the HMF to our previous joint analysis of the power spectrum and bispectrum is driven by a preliminary field-level analysis, in which we train graph neural networks on halo catalogs to infer the PNG f _NL parameter. The covariance matrix and the responses of our summaries to changes in model parameters are extracted from a suite of halo catalogs constructed from the Quijote-png N -body simulations. …”
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The Effectiveness of Transcranial Direct Current Stimulation (tDCS) on Improving Cognitive Abilities in Martial Athletes by Ali Rezaei sharif, Sara Taghizadeh hir, Ghasem

“…Also, according to the Box's M test, the equality of the covariance matrix of the dependent variables between the experimental and control groups was not significant (p>0.05). …”
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Induced seismicity analysis for reservoir characterization at a petroleum field in Oman by Sze, Edmond Kin-Man

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Input features for deep learning-based polyphonic sound event localization and detection by Nguyen, Thi Ngoc Tho

“…SALSA feature consists of multichannel log-magnitude linear-frequency spectrograms stacked along with normalized principal eigenvector of the spatial covariance matrix at each time-frequency bin. The feature has exact time-frequency mapping between the signal power and the source directional cues, which is crucial for resolving overlapping sound sources. …”
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Deep learning based speech enhancement for noise adverse environment by Tan, Zhi Wei

“…The proposed recurrent neural beamformer (R-NBF) achieves multichannel speech enhancement with speech sample spatial covariance matrix (SCM) through a feedback connection. …”
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Detection And Identification Of Stiction In Control Valves Based On Fuzzy Clustering Method by Daneshwar, Muhammad Amin

“…Then a matrix (which contains a sequence of serially uncorrelated random numbers with zero mean and finite variance) is added to covariance matrix. This modification prevents the fuzzy clustering algorithm from turning into numerical problem. …”
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Family Risk for Depression and Prioritization of Religion or Spirituality: Early Neurophysiological Modulations of Motivated Attention by Jürgen Kayser, Jürgen Kayser, Jürgen Kayser, Craig E. Tenke, Craig E. Tenke, Craig E. Tenke, Connie Svob, Connie Svob, Marc J. Gameroff, Marc J. Gameroff, Lisa Miller, Jamie Skipper, Virginia Warner, Virginia Warner, Priya Wickramaratne, Priya Wickramaratne, Priya Wickramaratne, Myrna M. Weissman, Myrna M. Weissman, Myrna M. Weissman

“…Statistical analyses employed both non-parametric permutation tests and repeated measures ANOVA for mixed factorial designs with unstructured covariance matrix, including sex, age, and clinical covariates. …”
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Comparison of principal component analysis (PCA) and discriminant analysis of principal component (DAPC) methods for analysis of population structure in Akhal-Take, Arabian and Cas... by Nasrin Babayi, Abbad Rafat, Mohammad Hossein Moradi, Mohammad Reza Feizi derakhshi

“…For this purpose, the variance-covariance matrix of independent variables was first calculated and principal components were extracted. …”
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