When individuals store resources acquired while moving through a spatially variable habitat, a form of population structure arises. The theoretical consequences of this process for resource competition are studied for phytoplankton species consuming a single nutrient resource, using a Lagrangian modeling approach. Each competitor population is divided into many subpopulations that move through two model habitats with gradients in nutrient availability: an unstirred chemostat and a partially mixed water column. The results provide little indication that resource storage contributes to competitive fitness in the scenarios analyzed. Superior competitors usually reduce the limiting nutrient to low concentrations at steady state or sometimes have high maximal growth rates. Resource storage enhances competitive fitness in temporally variable habitats where encounters with rich nutrient pulses are strongly periodic. However, in purely spatially variable habitats where encounters with rich nutrient patches are random, resource storage does not appear to provide much benefit, at least for passively moving organisms that cannot control their location.
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http://dx.doi.org/10.1086/595751 | DOI Listing |
Food Chem X
January 2025
School of Life Sciences, Yunnan Normal University, Kunming 650500, PR China.
Food spoilage causes significant economic losses and endangers human health. Developing novel antimicrobial agents and preservatives is urgently needed for anti-foodborne diseases and improving food storage. Zhen Zhu Cai () species are well-known edible plants among the East Asian populace that clear heat and anti-aging.
View Article and Find Full Text PDFChem Commun (Camb)
January 2025
Fachgebiet Angewandte Nanophysik, Institut für Physik & IMN MacroNano, Technische Universität Ilmenau, Ilmenau 98693, Germany.
Organic materials, with abundant resources, low cost, high flexibility, tunable structures, lightweight nature, and wide operating temperature range, are regarded as promising candidates for sodium-ion batteries (SIBs). Unfortunately, their poor electronic and ionic conductivity remain significant challenges, hindering the achievement of high power density for sodium storage. Power density, a critical factor in battery performance evaluation, is essential for assessing fast charging capabilities.
View Article and Find Full Text PDFSmall
January 2025
Institute of Environmental Research at Greater Bay, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou, 510006, P. R. China.
Developing efficient, multifunctional electrodes for energy storage and conversion devices is crucial. Herein, lattice strains are reported in the β-phase polymorph of CoMoO within CoMoO@CoO heterostructure via phosphorus doping (P-CoMoO@CoO) and used as a high-performance trifunctional electrode for supercapacitors (SCs), hydrogen evolution reaction (HER), and oxygen evolution reaction (OER) in alkaline electrolytes. A tensile strain of +2.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Department of Medical Laboratory Science and Biotechnology, Central Taiwan University of Science and Technology, 666 Buzih Road, Taichung, 40601, Taiwan.
Background: Blood is a vital medical resource that is sourced from primarily nonremunerated donations. As Taiwan faces an aging population, increasing medical demands pose new challenges to blood resource management. Trend analysis can improve blood supply chain management and allocate blood resources more efficiently and cost-effectively.
View Article and Find Full Text PDFSci Rep
January 2025
Radiological Techniques Department, College of Health and Medical Techniques, AL-Mustaqbal University, Hillah, Babil, 51001, Iraq.
This paper proposes a hybrid stochastic-robust optimization framework for sizing a photovoltaic/tidal/fuel cell (PV/TDL/FC) system to meet an annual educational building demand based on hydrogen storage via unscented transformation (UT), and information gap decision theory-based risk-averse strategy (IGDT-RA). The hybrid framework integrates the strengths of UT for scenario generation and IGDT-RA (hybrid UT-IGDT-RA) for optimizing the system robustness and maximum uncertainty radius (MRU) of building energy demand and renewable resource generation. The deterministic model focuses on minimizing the cost of energy production over the project's lifespan (CEPLS) and considers a reliability constraint defined as the demand shortage probability (DSHP).
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