The University of Puerto Rico, Mayagüez Campus (UPRM) or Recinto Universitario de Mayagüez (RUM) in Spanish (also referred to as Colegio and CAAM in allusion to its former name), is a public land-grant, sea-grant, space-grant university in Mayagüez, Puerto Rico. UPRM is the second-largest university campus of the University of Puerto Rico system. In 2009, the campus population was composed of 12,108 students, 1,924 regular staff members, and 1,037 members of the education staff. In 2013, the student population remained relatively steady at 11,838, but the instructional faculty dropped to 684. In the second semester of 2019 around 12,166 students where enrolled. UPRM has been accredited by the Middle States Commission on Higher Education (MSCHE) since 1946. Also, the engineering undergraduate program is accredited by the Accreditation Board for Engineering and Technology (ABET), the nursing undergraduate program is accredited by the National League for Nursing (NLN) and the Chemistry Department is recognized by the American Chemical Society (ACS). The College of Business Administration is going through the process of the AACSB accreditation. The Mayagüez campus of the University of Puerto Rico was a member of Oak Ridge Associated Universities (ORAU) from 1966 until 2017. UPRM is comprised by the Colleges of Agricultural Sciences, Arts and Sciences, Business Administration, Engineering, and the Division of Continuing Education and Professional Studies. The College of Agricultural Sciences includes the Agricultural Experiment Station and the Agricultural Extension Service which manages Agricultural stations across the island.
In this paper, we present new asymptotic results for the zeros of the Eα(z) Mittag-Leffler function that involves the Lambert W function. We show that our results give better asymptotic approximations of the zeros than some of the existing theorems for 0<α<2 (α≠1).
Questions Understanding how plant functional traits mediate ecosystem resilience to extreme events is central to predicting ecological responses under variable climates. We asked: does edaphic filtering in serpentine versus volcanic soils shape plant functional composition in ways that determine forest stability (resistance, resilience, temporal stability, and recovery) following a major hurricane (Hurricane Maria)? We hypothesized that stress-tolerant serpentine plant communities would be more resistant but recover less quickly from environmental disturbances, while volcanic plant communities would show the opposite pattern, less resistance but faster recovery.Location Puerto Rico.Methods We combined trait-based analyses with remote sensing and environmental data across forest plots spanning serpentine and volcanic soils. We calculated community-weighted means and functional diversity metrics and analyzed their relationships with soil properties, storm impact (cumulative rainfall and maximum wind), and NDVI-based forest stability indicators.Results Contrary to expectations, serpentine communities exhibited greater than expected resilience and recovery, whereas volcanic communities exhibited greater than expected resistance after accounting for storm impact. Foliar iron content, functional evenness, and functional dispersion emerged as key correlates of forest stability.Conclusions Our findings suggest that nutrient-poor serpentine soils select for stress-tolerant traits that confer greater ecological resilience compared to forests on more fertile volcanic soils, challenging assumptions of serpentine vulnerability and highlighting the role of soil properties and traits in mediating ecosystem responses to extreme climatic events.
Aggistropodacarisgen. nov., is proposed to accommodate a new species of Fontinalicaridinae found near the National Park of Chapada dos Veadeiros in Goiás, Central Brazil, Tocantins River hydrographic basin. The genus is characterized by a unique morphological adaptation of the males, in which the second pereopod is transformed into a grasping structure. The genus is also characterized by the combination of several characters including 1) a small body size (< 250μm), 2) weak chitinization, 3) lack of integumental windows in the urosome, 4) seven-segmented male antennule, 5) reduced endopod of second pereopod in both male and female, 6) reduced female endopod of third pereopod, 7) elongate endopod of the fourth pereopod reaching midlength of the second exopod in females, and 8) short fifth pereopod in both sexes. Aggistropodacarisgen. nov., is placed within Fontinalicaridinae due to specific apomorphic traits, including the gap between outer setae I-III and dorsal seta VII on the furca, and the bow-like female genital field. Aggistropodacarisgen. nov. shows notable morphological similarities with Siolicaris Jakobi, 1972 and Brasilibathynellocaris Jakobi, 1972, suggesting a close phylogenetic relationship with these genera. The male third pereopod is similar in the new genus and Siolicaris, both with a robust quadratic first exopodite, a short apophysis, and thumb longer than the apophysis with a distal hyaline membrane. The distal hyaline membrane on the male thumb of the third pereopod is also present in Brasilibathynellocaris. Additionally, the fifth pereopod in these three genera is reduced in length, with outer setae located on the distal half. Furthermore, both Aggistropodacarisgen. nov. and Siolicaris exhibit a reduced endopod in the female third pereopod, and the female endopod of the fourth pereopod is longer than the first exopodite, reaching beyond the middle of the second endopodite. This feature is also seen in some species of Brasilibathynellocaris, indicating phylogenetic conservatism across these genera.
The Computing Power Network (CPN) is a distributed system that integrates computing resources to optimize utilization, but ensuring Quality of Service (QoS) is challenging due to high demand and complex heterogeneous connections. Accurate workload prediction is essential for maintaining QoS, yet the diverse and complex user requirements in CPN make prediction difficult. To address this challenge, we propose an ensemble workload prediction model with fluctuation division control for workload prediction in CPN, comprising three key components. First, we use the Three-Way Decision (3WD) approach to partition workload fluctuations, controlling granularity thickness and applying clustering to capture dynamic workload characteristics. Second, we develop tailored prediction methods for each of the three partitioned regions and ensembles them to enhance overall prediction performance. Third, the ensemble prediction method is applied to each region to obtain the final predicted values. The proposed method introduces an innovative fluctuation division control strategy for characteristic mining to capture dynamic workload fluctuation patterns and designs the effective ensemble workload prediction model deal with the problem of non-stationary workload prediction in CPN. Experimental results on trace datasets from Alibaba and Dinda demonstrate that the proposed model improves the higher average prediction accuracy by up to 26.06% $\sim$similar to 66.4% than the comparison methods.
Using micromagnetic simulations, we investigated the effects of mechanical stress and nanostructure size variations on the spin wave modes in Galfenol nanoellipses with a vortex-like magnetic configuration. Our results indicate that both the frequency spectrum and the spatial distribution of the modes are influenced by the type of applied stress (tensile or compressive) and by the nanostructure size. In particular, the modes tend to display regions of maximum oscillation amplitude along the direction of the applied tensile stress. For structures with a circular geometry, the frequency spectrum as a function of mechanical stress is symmetric, meaning that the frequencies obtained under tensile stress have the same values as those obtained under an equivalent compressive stress. Variations in geometry, nanostructure size, and stress magnitude can also lead to the emergence of new hybrid modes with both radial and azimuthal components, while the overall vortex profile remains largely unchanged. These findings illustrate a method for controlling spin wave modes in nanostructures with non-trivial magnetic configurations, such as magnetic vortices, through mechanical stress, opening up numerous possibilities for applications in flexible magnonic systems.
