Variance in C. elegans gut bacterial load suggests complex host-microbe dynamics. by Satya Spandana Boddu, K Michael Martini, Ilya Nemenman, Nic M Vega

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Mean-variance investment and risk control strategies for a dynamic contagion process with diffusion by Xiuxian Chen, Zhongyang Sun, Dan Zhu

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Multi-objective cloud workflow scheduling algorithm based on grid variance by Xiaoan BAO, Yundi CAO, Na ZHANG, Junyan QIAN, Jianwen CAO

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A Dynamic Variance-Based Triggering Scheme for Distributed Cooperative State Estimation over Wireless Sensor Networks by Hongbo Zhu, Jiabao Ding

“…Firstly, a novel dynamic variance-based triggering scheme (DVTS) is designed to schedule the sampling of each sensor and the transmission of its local measurement. …”
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Reasons for variance of year-class strength for the Amur pink salmon <i>Oncorhynchus gorbuscha</i> (Walbaum) by V. I. Ostrovsky

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Minimum Variance Distortionless Response Beamformer with Enhanced Nulling Level Control via Dynamic Mutated Artificial Immune System by Tiong Sieh Kiong, S. Balasem Salem, Johnny Koh Siaw Paw, K. Prajindra Sankar, Soodabeh Darzi

“…Hence, in this paper, a new dynamic mutated artificial immune system (DM-AIS) is proposed to enhance MVDR beamforming for controlling the null steering of interference and increase the signal to interference noise ratio (SINR) for wanted signals.…”
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A Nonlinear Method to Identify Seizure Dynamic Trajectory Based on Variance of Recurrence Rate in Human Epilepsy Patients Using EEG by Morteza Farahi, Seyed Saman Sajadi, Fateme Karbasi, Seyed Sohrab Hashemi Fesharaki, Jafar Mehvari Habibabadi, Mohsen Reza Haidari, Amir Homayoun Jafari

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Statistical properties of dynamical chaos by Vadim S. Anishchenko, Tatjana E. Vadivasova, Galina I. Strelkova, George A. Okrokvertskhov

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Organisational Practice in the job centre - Variance or Homogeneity? by Navina Roman

“…The results show clearly that - contrary to the expectation that hybridity will be characterised by different (organisational) cultures and historical layerings in organisational processes - organisational learning processes lead not to dynamic development. Accordingly, the job centre suffers not from too much variance but from a standardisation of organisational practice which leads to a lived practice of"rule of the bureaucracy" in the Weberian tradition. …”
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Evaluating downscaled products with expected hydroclimatic co-variances by S. H. Baek, P. A. Ullrich, B. Dong, J. Lee

“…Finally, our work proposes expected co-variances during convective and frontal precipitation as useful evaluation diagnostics that can be universally applied to a wide range of statistically downscaled products.…”
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Variance Reduction Optimization Algorithm Based on Random Sampling by GUO Zhenhua, YAN Ruidong, QIU Zhiyong, ZHAO Yaqian, LI Rengang

“…Therefore, effectively reducing variance becomes a key challenge at present. To address the above challenge, a variance reduction optimization algorithm, DM-SRG (double mini-batch stochastic recursive gradient), based on mini-batch random sampling is proposed and applied to solving convex and non-convex optimization problems. …”
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Analysis of heart rhythm variability by linear and non-linear dynamics methods by Vuksanović Vesna, Gal Vera

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Computing the Mean-Variance-Sustainability Nondominated Surface by ev-MOGA by A. Garcia-Bernabeu, J. V. Salcedo, A. Hilario, D. Pla-Santamaria, Juan M. Herrero

“…Multiobjective evolutionary algorithms (MOEAs) have been recently used for portfolio selection, thus extending the mean-variance methodology to obtain a mean-variance-sustainability nondominated surface. …”
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Enhancing Extreme Learning Machine Robustness via Residual-Variance-Aware Dynamic Weighting and Broyden–Fletcher–Goldfarb–Shanno Optimization: Application to Metro Crowd Flow Prediction by Lihui Wang, Jianguang Xie

“…This method introduces a sample weighting mechanism based on the target residual variance, dynamically adjusts the importance of training samples, and iteratively corrects the input weights and biases of the ELM in combination with the BFGS optimization strategy, effectively improving the prediction accuracy and stability of the model. …”
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Null Steering of Adaptive Beamforming Using Linear Constraint Minimum Variance Assisted by Particle Swarm Optimization, Dynamic Mutated Artificial Immune System, and Gravitational Search Algorithm by Soodabeh Darzi, Tiong Sieh Kiong, Mohammad Tariqul Islam, Mahamod Ismail, Salehin Kibria, Balasem Salem

“…Linear constraint minimum variance (LCMV) is one of the adaptive beamforming techniques that is commonly applied to cancel interfering signals and steer or produce a strong beam to the desired signal through its computed weight vectors. …”
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Dynamical Approach in studying GJR-GARCH (Q,P) Models with Application by Nooruldeen A. Noori, Azher A. Mohammad

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Learning of the mean, but not variance, of color distributions cues target location probability by Philippe Blondé, Sabrina Hansmann-Roth, David Pascucci, Árni Kristjánsson

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Optimal Reinsurance-Investment Problem under Mean-Variance Criterion with n Risky Assets by Peng Yang

“…Based on the mean-variance criterion, this paper investigates the continuous-time reinsurance and investment problem. …”
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Image Scale-Space Filtering Using Directional Local Variance Controlled Anisotropic Diffusion by Yong Chen, Taoshun He

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Evaluation and Analysis of Variance of Storage Stability of Asphalt Binder Modified by Nanotitanium Dioxide by Xiaolong Zou, Aimin Sha, Biao Ding, Yuqiao Tan, Xiaonan Huang

“…The results indicated that the softening point, the failure temperature, the dynamic-shear viscosity, and G⁎/sinδ of the binders increased with nanoparticle content. …”
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