Hologenomic data generation and analysis in wild vertebrates by Carlotta Pietroni, Nanna Gaun, Aoife Leonard, Jonas Lauritsen, Garazi Martin‐Bideguren, Iñaki Odriozola, Ostaizka Aizpurua, Antton Alberdi, Raphael Eisenhofer

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Species distribution modelling and landscape connectivity as tools to inform management and conservation for the critically endangered Himalayan brown bear (Ursus arctos isabellinu... by Tosif Fida, Alireza Mohammadi, Kamran Almasieh, Luciano Bosso, Shams Ud Din, Urwah Shamas, Muhammad Ali Nawaz, Muhammad Kabir

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Using unmanned aerial vehicles to estimate body volume at scale for ecological monitoring by Thomas C. Stone, Katrina J. Davis

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New Conditions for the Exponential Stability of Pseudolinear Difference Equations in Banach Spaces by Rigoberto Medina

“…We study the local exponential stability of evolution difference systems with slowly varying coefficients and nonlinear perturbations. …”
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Structure Characteristics of the International Stock Market Complex Network in the Perspective of Whole and Part by Guangxi Cao, Yingying Shi, Qingchen Li

“…For the analysis on the whole network, we firstly determine the reasonable threshold as the basic of the following study. Robustness is applied to analyze the stability of the network and the result shows that ISMN has robustness against random attack but intentional attack breaks the connection integrity of ISMN rapidly. …”
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Adiabaticity Engineered Silicon Coupler With Design-Intended Splitting Ratio by Chih-Hsien Chen, Yu-Fang Lo, Guan-Xun Lu, Yung-Jr Hung, Shuo-Yen Tseng

“…AECs with design-intended SRs exhibit broad bandwidth and robustness against fabrication variations. We experimentally demonstrate compact AECs with average SRs of 22&#x0025;/78&#x0025; and 15&#x0025;/85&#x0025; with mode-evolution lengths of 42 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m and 25 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m over a bandwidth of 70 nm, i.e., from 1500 to 1570 for the fundamental transverse electric (TE) mode.…”
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Selecting the appropriate design in biomedical research: experimental studies. Part II by Raúl Aguilera Eguía, Ángel Roco Videla, Olga Patricia López Soto, Brenda Herrera Serna, Héctor Fuentes Barria, Mariana Melo Lonconao

“…<p>This document is the second part of a series focused on the prevalent research designs in clinical epidemiology, and is especially dedicated to the critical importance of experimental studies in the health care evolution. Considerations are issued from the historical evolution and theoretical foundations, to the practical implementation of experimental designs, with a particular focus on randomized clinical trials, for their robustness in demonstrating causal relationships and influence in optimizing clinical decisions. …”
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Development Mode of Recreation Belt around the City: Ecological Authenticity or Fashion Creativity? by Liang Zhao, Yuanyuan Shen, Nailin Gu, Jingyu Dai

“…At the same time, it discusses the evolution model of the recreational space system around the city. …”
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Assessing the Dynamic Resilience of Local Roads: A Case Study of Flooding in Wuhan, China by Zhenwu Shi, Zifeng Yang, Jie Liu

“…Finally, this study simulated and compared the dynamic evolution of the total resilience of local roads, which accurately captured the weak and poorly resilient road locations. …”
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Virtual reality compressing and transmitting system based on mobile edge computing by Bin TAN, Songyuan ZHAO, Jun WU, Wenru ZHANG

“…In order to solve the problem of the high requirements of data transmission rate and sensitivity to transmission delay in virtual reality (VR) based on cloud services,a Cloud VR system with MEC (mobile edge computing) was proposed,mainly including viewpoint-based VR processing and HDA (hybrid digital-analog) transmission optimization.Firstly,a dynamic streaming method based on user viewpoint and pyramid projection was used to implement a complete edge cloud VR system.Then,HDA transmission was introduced to optimize the transmission,and a heuristic algorithm for resource allocation was given.Finally,the base station protocol stack was transformed,and the MEC was integrated into the LTE (long term evolution) system to implement a complete mobile edge cloud VR system.Experimental results demonstrate that the proposed scheme has good robustness and efficient transmission by comparing with the existing schemes.…”
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Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical system by Ru Huang, Xiaoli Chu, Jie Zhang, Yu Hen Hu

“…Software-defined wireless sensor network–based functional architecture is adopted to optimize the network evolution rules and algorithm parameters using information cognition and flow-table configure mode. …”
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Self-Organized Societies: On the Sakoda Model of Social Interactions by Pablo Medina, Eric Goles, Roberto Zarama, Sergio Rica

“…We discuss the robustness of the social structures, dynamical behaviors, and the existence of spatial long range order in terms of the social interactions and the equilibrium energy.…”
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Unlocking Corporate Sustainability: The Transformative Role of Digital–Green Fusion in Driving Sustainable Development Performance by Yue Yang, Fan Luo

“…Utilizing data from China’s A-share listed companies over the period 2010–2022, the analysis reveals that DGF significantly boosts SDP, with results remaining robust through a series of endogeneity and robustness tests. …”
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A Review of DNA Cryptography by Ling Chu, Yanqing Su, Xiangyu Yao, Peng Xu, Wenbin Liu

“…After summarizing and discussing the security foundations of these cryptographic methods, we highlight the main challenges relating to measurability, standard protocols, robustness, and operability. Finally, we outline future directions for DNA cryptography, hoping to facilitate the evolution of this nascent field.…”
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A Comprehensive Survey of Machine Learning Techniques and Models for Object Detection by Maria Trigka, Elias Dritsas

“…This comprehensive survey presents an in-depth analysis of the evolution and significant advancements in object detection, emphasizing the critical role of machine learning (ML) and deep learning (DL) techniques. …”
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Social Cognitive Optimization Algorithm for Approximate Path Generation Synthesis of Spherical 4R Linkage by Che Linxian, Huang Yonggang, Du Li

“…In order to enhance the convergence speed and accuracy of SCO algorithm，a novel accelerating social cognitive optimization (ASCO) algorithm is proposed in which the differential evolution (DE) operators are used to local search. …”
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BAYESIAN FINITE ELEMENT MODEL UPDATING BASED ON MARKOV CHAIN POPULATION COMPETITION by YE Ling, JIANG HongKang, ZOU YuQing, CHEN HuaPeng, WANG LiCheng

“…The traditional Markov Chain Monte Carlo（MCMC） simulation method is inefficient and difficult to converge in high dimensional problems and complicated posterior probability density.In order to overcome these shortcomings，a Bayesian finite element model updating algorithm based on Markov chain population competition was proposed.First，the differential evolution algorithm was introduced in the traditional method of Metropolis-Hastings algorithm.Based on the interaction of different information carried by Markov chains in the population，optimization suggestions were obtained to approach the objective function quickly.It solves the defect of sampling retention in the updating process of high-dimensional parameter model.Then，the competition algorithm was introduced，which has constant competitive incentives and a built-in mechanism for losers to learn from winners.Higher precision was obtained by using fewer Markov chains，which improves the efficiency and precision of model updating.Finally，a numerical example of finite element model updating of a truss structure was used to verify the proposed algorithm in this paper.Compared with the results of standard MH algorithm，the proposed algorithm can quickly update the high-dimensional parameter model with high accuracy and good robustness to random noise.It provides a stable and effective method for finite element model updating of large-scale structure considering uncertainty.…”
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Time-varying channel estimation in reconfigurable intelligent surface assisted communication system by Kai SHAO, Ben LU, Guangyu WANG

“…Aiming at the key problems need to be solved, such as cascade channel sparse representation, time-varying channel parameter tracking and signal reconstruction, for time-varying cascade channels estimation of reconfigurable intelligent surface (RIS) assisted communication system, a Khatri-Rao and hierarchical Bayesian Kalman filter (KR-HBKF) algorithm was proposed.Firstly, the Khatri-Rao product and Kronecker product transformations were used to obtain the sparse representation of RIS cascaded channels based on the sparse characteristics of channels, thus the RIS cascaded channel estimation problem was transformed into a low-dimensional sparse signal recovery problem.Then, according to the state evolution model of RIS cascaded channel, the time correlation parameter was introduced into the prediction model of HBKF algorithm, and the improved HBKF was applied to solve the problem of time-varying channel parameter tracking and signal reconstruction for completing the time-varying cascaded channels estimation.The sparsity and time correlation of the channel were comprehensively considered in the KR-HBKF algorithm, thus better estimation accuracy could be obtained with small pilot overhead.Compared with the traditional compressed sensing algorithm, the simulation results show that the proposed algorithm has about 5 dB estimated performance improvement, and better robustness performance under different time-varying channel conditions.…”
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Stochastic robot failure management in an assembly line under industry 4.0 environment by Kuldip Singh Sangwan, Anirudh Tusnial, Suveg V Iyer

“…The paper demonstrates the superiority of the proposed model over the genetic algorithm and differential evolution models. The robustness of the proposed model is evaluated at different production rates. …”
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Association of serum selenium with MASLD and liver fibrosis: A cross-sectional study. by Wenying Guo, Ting Weng, Yufei Song

“…<h4>Background</h4>The evolution of NAFLD, MAFLD, and MASLD underscores significant advancements and nomenclatural shifts in the realm of chronic liver disorders. …”
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