Article
Biology
Sylvie Estrela, Alicia Sanchez-Gorostiaga, Jean C. C. Vila, Alvaro Sanchez
Summary: The study found that while the family-level community composition can generally be predicted using the null, naturally additive model, there are systematic deviations from the additive predictions that reflect generic patterns of nutrient dominance. Pairs of more similar nutrients tend to be more additive than pairs of dissimilar nutrients, and sugar-acid communities are generally more similar to sugar communities than acid communities, possibly due to family-level asymmetries in nutrient benefits. Overall, the study suggests that regularities in how nutrients interact may help predict community responses to dietary changes.
Article
Computer Science, Hardware & Architecture
Keke Gai, Xiao Qin, Liehuang Zhu
Summary: Combining IoT technology with cloud computing is important for utilizing computing resources in a connected environment, but big data poses challenges to communication. This article proposes a novel approach called EFRO to optimize resource management in fog computing, improving energy efficiency and time consumption significantly. Experimental results show that EFRO is adept at making near-optimal decisions, surpassing existing schemes in various aspects.
IEEE TRANSACTIONS ON COMPUTERS
(2021)
Article
Environmental Studies
Bao-Li Miao, Ying Liu, Yu-Bing Fan, Xue-Jiao Niu, Xiu-Yun Jiang, Zeng Tang
Summary: The portfolio model is an effective tool for optimizing agricultural resource allocation. By using the model, farmers can balance returns and risks in agricultural production. A study conducted in Minqin county, China found that optimizing resource allocation among crops using the portfolio model can increase returns per unit resource and improve resource use efficiency without increasing risk. This study provides valuable insights and empirical evidence for agricultural resource allocation and efficiency improvement.
Article
Engineering, Electrical & Electronic
Hao Huang, Yun Lin, Guan Gui, Haris Gacanin, Hikmet Sari, Fumiyuki Adachi
Summary: Unsupervised learning is widely used in wireless resource allocation problems due to its low computational complexity and better performance. This article proposes a regularized unsupervised learning framework that combines the primal-dual learning method with the penalty function method to enhance the robustness of the primal-dual learning based UL framework.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Telecommunications
Wenqin Zhuang, Yiming Song, Mingkai Chen, Jianxin Chen, Haibo Li
Summary: D2D technology plays an important role in multimedia content distribution. This paper proposes a blind popularity-based content caching strategy for D2D networks, which achieves better cache hit ratio through multi-arm bandit models and online learning methods.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2023)
Article
Plant Sciences
Haoyu Wang, Jie Ding, Sifan He, Cheng Feng, Cheng Zhang, Guohua Fan, Yunzhi Wu, Youhua Zhang
Summary: In this study, a pear leaf disease segmentation model named MFBP-UNet is proposed to address the challenge of accurate prevention and control of pear tree diseases. The model utilizes the UNet network architecture and incorporates a Multi-scale Feature Extraction (MFE) module and a Tokenized Multilayer Perceptron (BATok-MLP) module with dynamic sparse attention. Results show that MFBP-UNet outperforms other segmentation networks and demonstrates superior performance and generalization capabilities in pear leaf disease segmentation.
Review
Chemistry, Analytical
Jaime Vergara, Juan Botero, Luis Fletscher
Summary: This article reviews the current status of resource allocation in the fog-cloud continuum, discusses the factors influencing allocation decisions, and identifies open research challenges and potential future directions. It aims to serve as a valuable reference for researchers and practitioners interested in the field of edge computing and resource allocation.
Article
Multidisciplinary Sciences
Chao Fang, Tianyi Zhang, Jingjing Huang, Hang Xu, Zhaoming Hu, Yihui Yang, Zhuwei Wang, Zequan Zhou, Xiling Luo
Summary: This paper proposes an intelligent optimization strategy based on deep reinforcement learning for resource allocation in heterogeneous cloud-edge-end collaboration environments. By overcoming the asymmetrical control problem through distributed cooperation, and utilizing a maximal traffic offloading model and DRL policy, the content distribution performance is significantly improved.
Article
Engineering, Chemical
Zuojun Dai, Ying Zhou, Hui Tian, Nan Ma
Summary: This study proposes a task-offloading and resource allocation strategy in multidomain cooperation (TARMC) for the industrial Internet of Things (IIoT) to address the issue of non-uniform distribution of task computation and inefficiencies in resource allocation in traditional industrial wireless network architecture. The strategy constructs a network model for flexible resource allocation among intelligent terminals, edge servers, and cluster networks based on closed-loop task interaction. An improved Cuckoo Search algorithm is then used to derive optimal offloading positions and resource allocation decisions. Simulation results demonstrate the superiority of TARMC compared to other strategies.
Article
Engineering, Multidisciplinary
Yuexia Zhang, Ying Zhou
Summary: In this study, a resource allocation strategy based on tripartite graph is proposed to address the issues of low vehicle data transmission rate, poor service quality, and low service content delivery efficiency in vehicular social networks. The strategy establishes a mobile vehicular social networks model based on vehicle mobility and social similarity, and utilizes one-to-one stable matching to maximize content delivery efficiency and transmission rate. Simulation results show that the proposed strategy significantly improves content delivery efficiency and transmission rate compared to other strategies.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Pierre Salvy, Vassily Hatzimanikatis
Summary: Diauxie, the sequential consumption of carbohydrates in bacteria like Escherichia coli, is considered as an evolutionary strategy to maximize the specific growth rate of the organism, providing a competitive advantage. Computational modeling successfully predicts the preferential uptake of glucose over lactose in E. coli cultures and captures the reprogramming of proteome content in response to fluctuations in carbon sources. This suggests that the genetic regulatory networks, such as the lac operon in E. coli, ensure optimal growth as a robust control system.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Multidisciplinary Sciences
Alessandro Alves-Pereira, Maria Imaculada Zucchi, Charles R. Clement, Joao Paulo Gomes Viana, Jose Baldin Pinheiro, Elizabeth Ann Veasey, Anete Pereira de Souza
Summary: This study evaluated the genetic diversity of traditional manioc varieties conserved in a gene bank in Brazil. The researchers found that domestication and cultivation of manioc in different environments led to variations in selective signatures, and different biomes showed high levels of neutral genetic diversity within varieties.
SCIENTIFIC REPORTS
(2022)
Article
Environmental Sciences
Rerkchai Srivoramasa, Natthapong Nanthasamroeng, Rapeepan Pitakaso, Thanatkij Srichok, Surajet Khonjun, Worapot Sirirak, Chalermchat Theeraviriya
Summary: The agricultural sectors worldwide are facing water scarcity, particularly in the Greater Mekong Subregion (GMS) where drought has become a critical problem due to its heavy reliance on agricultural production. The construction of community reservoirs and water supply networks is seen as a strategy to address this issue. This study focuses on solving the agricultural community reservoir establishment and water supply network design (CR-WSND) problem in Khong Chiam, Ubon Ratchathani, Thailand using mixed-integer programming (MIP), and the results show that the improved variable neighborhood strategy adaptive search (A-VaNSAS) outperforms other approaches in terms of solution quality.
Editorial Material
Computer Science, Information Systems
Quoc-Viet Pham, Ming Zeng, Octavia A. Dobre, Zhiguo Ding, Lingyang Song
Summary: The Internet of Things (IoT) drives the development of sixth-generation (6G) wireless systems, as more data needs to be collected and transmitted due to the emergence of novel IoT applications. However, IoT devices are limited by battery life, transmit power, and processing capacity. Aerial access networks provide favorable communication links and better coverage for IoT devices, while edge computing (such as fog and mobile-edge computing) relocates computing and storage resources to the network edge to support computing-intensive and low-latency IoT applications. The integration of aerial access networks and edge computing, known as aerial computing, is expected to offer both traditional communication services and advanced services for IoT globally.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Biochemistry & Molecular Biology
Rohan Balakrishnan, Roshali T. de Silva, Terence Hwa, Jonas Cremer
Summary: Microbes need to synthesize novel proteins to respond to fluctuating conditions, but must develop effective response strategies to manage depleting biosynthetic precursors. Contrary to common modeling assumptions, cells do not optimize growth under changing environments, instead exhibiting hardwired response strategies that may promote fitness in their native environment. This constraint and suboptimality in cellular response provide a conceptual framework relevant for various research applications, from evolution prediction to gene circuit improvement in biotechnology.
MOLECULAR SYSTEMS BIOLOGY
(2021)
Editorial Material
Biology
William J. Ripple, Christopher Wolf, Thomas M. Newsome, Phoebe Barnard, William R. Moomaw
Article
Ecology
Oceane C. Salles, Glenn R. Almany, Michael L. Berumen, Geoffrey P. Jones, Pablo Saenz-Agudelo, Maya Srinivasan, Simon R. Thorrold, Benoit Pujol, Serge Planes
Article
Ecology
Laura Gervais, Aidan J. M. Hewison, Nicolas Morellet, Maria Bernard, Joel Merlet, Bruno Cargnelutti, Yannick Chaval, Benoit Pujol, Erwan Quemere
JOURNAL OF EVOLUTIONARY BIOLOGY
(2020)
Article
Ecology
Arnaud Sentis, Raphael Bertram, Nathalie Dardenne, Jean-Christophe Simon, Alexandra Magro, Benoit Pujol, Etienne Danchin, Jean-Louis Hemptinne
Article
Biochemistry & Molecular Biology
Sara Marin, Anais Gibert, Juliette Archambeau, Vincent Bonhomme, Mylene Lascoste, Benoit Pujol
Article
Plant Sciences
Mathilde Mousset, Sara Marin, Juliette Archambeau, Christel Blot, Vincent Bonhomme, Laura Garaud, Benoit Pujol
Summary: Plants exhibit phenotypic plasticity in response to shade, with snapdragon plants showing strong reactions in terms of longer shoots, longer internodes, and increased specific leaf area. There is genetic variation for plastic response within populations, indicating potential for evolution in response to selection.
Article
Genetics & Heredity
Pierick Mouginot, Nelia Luviano Aparicio, Delphine Gourcilleau, Mathieu Latutrie, Sara Marin, Jean-Louis Hemptinne, Christoph Grunau, Benoit Pujol
Summary: The phenotypic plasticity of plants in response to changes in light environment, particularly shade, is an ecologically relevant phenomenon with evolutionary implications. Studies on snapdragon plants showed that DNA methylation patterns were altered in response to light versus shade, suggesting a potential role in phenotypic plasticity. Further research is needed to clarify the direct involvement of epigenetic changes in the plastic response of plants to different environments.
Article
Ecology
Pascal Marrot, Mathieu Latutrie, Jesaelle Piquet, Benoit Pujol
Summary: This study investigated how environmental variables influence selection pressures on different traits within a population of snapdragon plants on a small island in southern France. The results show that selection acting on several traits varied both in magnitude and direction in response to environmental variables at the scale of a meter, highlighting the importance of spatial variation in selection within wild populations.
Article
Multidisciplinary Sciences
Pauline Salis, Natacha Roux, Delai Huang, Anna Marcionetti, Pierick Mouginot, Mathieu Reynaud, Oceane Salles, Nicolas Salamin, Benoit Pujol, David M. Parichy, Serge Planes, Vincent Laudet
Summary: It was found that the developmental timing of white bar formation in juvenile clownfish during metamorphosis is influenced by the sea anemone species they are recruited in, possibly dependent on thyroid hormone. Transcriptomic analysis revealed that higher TH levels in fish recruited in certain sea anemone species were associated with faster white bar formation, with the duox gene playing a crucial role in regulating iridophore pattern timing.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Letter
Ecology
Pim Edelaar, Russell Bonduriansky, Anne Charmantier, Etienne Danchin, Benoit Pujol
TRENDS IN ECOLOGY & EVOLUTION
(2021)
Article
Ecology
Laura Gervais, Nicolas Morellet, Ingrid David, Mark Hewison, Denis Reale, Michel Goulard, Yannick Chaval, Bruno Lourtet, Bruno Cargnelutti, Joel Merlet, Erwan Quemere, Benoit Pujol
Summary: Accurate heritability estimates for fitness-related traits are crucial for predicting the ability of organisms to respond to global change. The potential issue of inflated heritability estimates due to environmental similarity among relatives has been pointed out but not examined empirically. This study investigates the link between genetic variation for habitat selection and environmental similarity, and how it affects heritability estimates for fitness-related traits. The results show that accounting for similarity in habitat composition between relatives decreases heritability estimates, suggesting that similar genotypes occupy similar environments and heritable variation may be incorrectly attributed to environmental effects.
JOURNAL OF ANIMAL ECOLOGY
(2022)
Article
Ecology
Anais Gibert, Sara Marin, Pierick Mouginot, Juliette Archambeau, Morgane Illes, Gabriel Ollivier, Alice Gandara, Benoit Pujol
Summary: The signals of adaptation in plants may vary between different environments, indicating the instability of experimental signals when extrapolating evolutionary significance. Caution should be taken when interpreting the results of common garden and reciprocal transplant experiments, as the multivariate nature of the environment plays a crucial role in the ability of plants to adapt to environmental changes.
JOURNAL OF EVOLUTIONARY BIOLOGY
(2022)
Article
Plant Sciences
Anais Gibert, Sara Marin, Mathieu Latutrie, Pascal Marrot, Pierick Mouginot, Juliette Archambeau, Vincent Baillet, Emilie Coriat, Theodore Perron Kyritsos, Benoit Pujol
Summary: Signatures of local adaptation were not found in adult plants of two subspecies of snapdragon plants, with populations from low-elevation habitats outperforming those from high-elevation habitats in all garden experiments. The effects of phenotypic traits on fitness proxies were similar at high and low elevations, suggesting no divergent selection based on elevation. Different traits had varying effects on fitness proxies in the two subspecies, indicating potential differences in adaptive processes at the scale of A. majus subspecies.
Article
Marine & Freshwater Biology
L. M. Fitzgerald, H. B. Harrison, D. J. Coker, P. Saenz-Agudelo, M. Srinivasan, J. E. Majoris, L. Bostrom Einarsson, B. Pujol, M. Bennett-Smith, S. R. Thorrold, S. Planes, G. P. Jones, M. L. Berumen
Summary: Social hierarchies play a crucial role in resource distribution and individual survival within a group. Studying rank changes and growth rates in clownfish populations on coral reefs provides valuable insights into the dynamics and evolution of their social groups.
Article
Biochemistry & Molecular Biology
Manru Li, Yi Sui, Xuanni Wang, Zhanxia Ma, Yahuang Luo, Sasith Tharanga Aluthwattha, Doyle McKey, Benoit Pujol, Jin Chen, Ling Zhang
Summary: This study on the host-generalist mistletoe Dendrophthoe pentandra in southwestern China reveals that bird pollination and bird-mediated seed dispersal result in outcrossing and maintain relatively high genetic diversity, despite the presence of potential self-compatibility and high local densities.