The interplay between species and locations shapes vector fleas microbial communities in plague foci: pathogens rather than symbionts? by Shahin Seidi, Shahin Seidi, Abbasali Raz, Naseh Maleki-Ravasan, Esmaeil Forouzan, Fateh Karimian, Florent Sebbane, Aria Sohrabi, Aria Sohrabi, Saber Esmaeili, Saber Esmaeili, Ehsan Mostafavi, Ehsan Mostafavi

“…Here, the microbial communities of fleas were characterized using 16S rRNA Next-Generation Sequencing to understand microbial interactions and functions in areas with historical plague-outbreaks in Iran with the ultimate idea of ​​managing flea-borne diseases. …”
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Muscle Fat and Volume Differences in People With Hip‐Related Pain Compared With Controls: A Machine Learning Approach by Chris Stewart, Evert O. Wesselink, Zuzana Perraton, Kenneth A. Weber II, Matthew G. King, Joanne L. Kemp, Benjamin F. Mentiplay, Kay M. Crossley, James M. Elliott, Joshua J. Heerey, Mark J. Scholes, Peter R. Lawrenson, Chris Calabrese, Adam I. Semciw

“…These changes may facilitate greater muscular efficiency for a given load, enabling the athlete to maintain their normal level of function. In addition, the CNNs for muscle segmentation was more efficient and demonstrated excellent reliability in comparison to manual segmentations.…”
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qGO: a novel method for quantifying the diversity of mitochondrial genome organization by Haihe Shi, Shuai Yang, Meicai Wei, Gengyun Niu

“…This method improves the comparability of genomes and allows a more accurate comparison of the diversity of mitochondrial genome organization across taxa. …”
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Performance evaluation of extreme value prediction methods for bridge traffic load effects by Miaomiao Xu, Xiao-Yi Zhou, Jie Shen, Deliang Ding, Sugong Cao, C. S. Cai

“…Accurately determining the distribution functions of maximum values is crucial for assessing bridge safety under traffic loads. …”
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Synthetic Microwave Focusing Techniques for Medical Imaging: Fundamentals, Limitations, and Challenges by Younis M. Abbosh, Kamel Sultan, Lei Guo, Amin Abbosh

“…Other approaches replace the simplified Green’s function with more representative functions. While these focusing techniques offer benefits like speed and low computational requirements, they face significant ongoing challenges in real-life applications due to their oversimplified linear solutions to the complex problem of non-linear medical microwave imaging. …”
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A Multi-Agent Approach to Modeling Task-Oriented Dialog Policy Learning by Songfeng Liang, Kai Xu, Zhurong Dong

“…In each update, we utilize the maximum action value function to determine the appropriate dialogue action, while the maximum state value function serves to guide the policy learning process. …”
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Accelerating crystal structure search through active learning with neural networks for rapid relaxations by Stefaan S. P. Hessmann, Kristof T. Schütt, Niklas W. A. Gebauer, Michael Gastegger, Tamio Oguchi, Tomoki Yamashita

“…Using this approach, we are able to effectively identify the most promising candidates for further evaluation using density functional theory (DFT). Our method not only reliably reduces computational costs by up to two orders of magnitude across the benchmark systems Si16, Na8Cl8, Ga8As8 and Al4O6 but also excels in finding the most stable minimum for the unseen, more complex systems Si46 and Al16O24. …”
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Application of the New Mapping Method to Complex Three Coupled Maccari’s System Possessing M-Fractional Derivative by Jan Martinovic, Aziz Ur Rehman, Muhammad Bilal Riaz

“…Furthermore, the incorporation of M-Truncated derivative enables a more extensive exploration of solution patterns. …”
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Comparison of Machine Learning and Statistical Approaches of Detecting Anomalies Using a Simulation Study by Klaudia Lenart

“…Methodology: A simulation study was conducted, during which the data was generated using copula functions. For the purpose of generating different types of anomalies, marginal distributions of the variables were manipulated. …”
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Direct coupling analysis and the attention mechanism by Francesco Caredda, Andrea Pagnani

“…Abstract Proteins are involved in nearly all cellular functions, encompassing roles in transport, signaling, enzymatic activity, and more. …”
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West Palaearctic species of Euura Newman, 1837 (Hymenoptera, Tenthredinidae) by Marko Prous, Andrew Liston, Spencer K. Monckton, Katja Kramp, Hege Vårdal, Veli Vikberg, Erik Heibo, Marko Mutanen

“…Remarkably, two or more apparently functional COI variants are frequently observed within the same individual, with variants diverging by up to 9.6% in Euura lappo (for the 658 bp barcoding region). …”
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A novel economic load dispatch method of microgrid based on hybrid slime mould and genetic algorithm by Wei Ba, Wei Sun, Chunjiang Zhao, Qi Li

“…Objective function models and their constraints based on wind, photovoltaic, energy storage and fuel power generation are presented. …”
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A comprehensive review on the composition, processing methods, and sustainable utilization of tropical fruit seeds in food industry by Xuanyi Zhang, Jun Liang, Xiaojun Lin, Junzhe Chen, Xiaoyu Luo

“…However, considering they are still rich in nutritional and bioactive components, tropical fruit seeds are hidden jewelry that can be more extensively utilized in the food industry, such as in food processing, food preservation, and the formulation of functional foods. …”
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Low-overhead routing algorithm for opportunistic networks based on immunity information piggybacked by SV by Zhi REN, Cong CHEN, Ya-nan CAO, Chen PENG, Qian-bin CHEN

“…A novel routing algorithm,LRPI (low-overhead routing with piggybacked immunity information) was proposed.LRPI contains the following four new mechanisms:piggybacking the immune information with SV(summary vectors),fast generation of the immune information through a cross-layer method,an improved exchange mechanism of SV,and adaptive compression of SV.Based on the above new mechanism,LRPI not only avoids using special data structure but also can achieve the same immune function more quickly.Theoretical analysis and simulation results show that LRPI outperforms the classical epidemic routing algorithm and a few of its improvements in terms of control overhead,the number of saved packets,and average end-to-end delay.…”
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A nano-enabled structural GFRP composite for self-powered multi-sensing applications by Lampros Koutsotolis, Angelos Voudouris Itskaras, George Karalis, Alkiviadis S. Paipetis

“…With growing concerns around sustainability and energy consumption, the next generation of advanced composites needs to incorporate additional functionalities. …”
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PhosphoPep—a phosphoproteome resource for systems biology research in Drosophila Kc167 cells by Bernd Bodenmiller, Johan Malmstrom, Bertran Gerrits, David Campbell, Henry Lam, Alexander Schmidt, Oliver Rinner, Lukas N Mueller, Paul T Shannon, Patrick G Pedrioli, Christian Panse, Hoo‐Keun Lee, Ralph Schlapbach, Ruedi Aebersold

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Revisiting the Middle Molecule Hypothesis of Uremic Toxicity: A Systematic Review of Beta 2 Microglobulin Population Kinetics and Large Scale Modeling of Hemodialysis Trials In Sil... by Maria Eleni Roumelioti, Thomas Nolin, Mark L Unruh, Christos Argyropoulos

“…A quantitative description of the relative importance of factors determining β2M concentrations among patients with impaired kidney function is currently lacking.<h4>Methods</h4>Herein we undertook a systematic review of existing studies reporting patient level data concerning generation, elimination and distribution of β2M in order to develop a population model of β2M kinetics. …”
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Parallelizing process model integration for model predictive control through oracle design and analysis for a Grover’s algorithm-inspired optimization strategy by Kip Nieman, Helen Durand, Saahil Patel, Daniel Koch, Paul M. Alsing

“…In model predictive control (MPC), a process dynamic model is utilized to make predictions of the value of the objective function and constraints throughout a prediction horizon. …”
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Comparative Analysis of Rhizosphere Microbiomes in Different Blueberry Cultivars by Lifeng Xiao, Qiuyue Zhao, Jie Deng, Lingyan Cui, Tingting Zhang, Qin Yang, Sifeng Zhao

“…Furthermore, rabbiteye blueberries support a more diverse and abundant array of cultivar-specific fungal communities than their highbush counterparts. …”
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Microplastics, invasive species and fungal stressors modulate antioxidative mechanisms, rhizosphere enzymes and microbial dynamics in alfalfa by Muhammad Anas, Muhammad Riaz, Meng-Ting Yan, Yi-Fan Liu, Ying Li, Shan- Shan Qi, Zhi-Cong Dai, Dao-Lin Du

“…Their interactions may threaten functionality and resilience of grassland ecosystems, underscoring the need for integrated strategies to mitigate multiple soil-based stressors.…”
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