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  1. New breed of applications, such as autonomous driving and their need for computation-aided quick decision making has motivated the delegation of compute-intensive services (e.g., video analytic) to the more powerful surrogate machines at the network edge–edge computing (EC). Recently, the notion of pervasive edge computing (PEC) has emerged, in which users’ devices can join the pool of the computing resources that perform edge computing. Inclusion of users’ devices increases the computing capability at the edge (adding to the infrastructure servers), but in comparison to the conventional edge ecosystems, it also introduces new challenges, such as service orchestration (i.e., service placement, discovery, and migration). We propose uDiscover, a novel user-driven service discovery and utilization framework for the PEC ecosystem. In designing uDiscover, we considered the Named-Data Networking architecture for balancing users workloads and reducing user-perceived latency. We propose proactive and reactive service discovery approaches and assess their performance in PEC and infrastructure-only ecosystems. Our simulation results show that (i) the PEC ecosystem reduces the user-perceived delays by up to 70%, and (ii) uDiscover selects the most suitable server–"accurate" delay estimates with less than 10% error–to execute any given task.
    Free, publicly-accessible full text available July 1, 2023
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  4. Guided by the notion of academic momentum, this study drew data from longitudinal transcript records at a large public 4-year research university and examined factors that specifically contribute to community college transfer students’ academic momentum. It also explored how early academic momentum along with students’ sociodemographic characteristics impact degree attainment in science, technology, engineering, and mathematics (STEM) fields of study. This study conducted multinomial logistic regression analysis and found that certain students’ background characteristics (i.e., gender, age, and family income), community college academic achievement (i.e., associate degree completion, and number of community college credits accepted), and early academic performance at the 4-year university (math and English preparedness, number of credit hours attempted, and first-semester grade point average) were significantly related to transfer students’ likelihood of obtaining a STEM degree. The findings provide new knowledge about academic momentum and could be used to enhance the community college pathway to STEM degree completion.
    Free, publicly-accessible full text available February 1, 2023
  5. Recently, the choice of ligand and geometric control of mononuclear complexes, which can affect the relaxation pathways and blocking temperature, have received wide attention in the field of single-ion magnets (SIMs). To find out the influence of the coordination environment on SIMs, two four-coordinate mononuclear Co( ii ) complexes [NEt 4 ][Co(PPh 3 )X 3 ] (X = Cl − , 1; Br − , 2) have been synthesized and studied by X-ray single crystallography, magnetic measurements, high-frequency and -field EPR (HF-EPR) spectroscopy and theoretical calculations. Both complexes are in a cubic space group Pa 3̄ (No. 205), containing a slightly distorted tetrahedral moiety with crystallographically imposed C 3 v symmetry through the [Co(PPh 3 )X 3 ] − anion. The direct-current (dc) magnetic data and HF-EPR spectroscopy indicated the anisotropic S = 3/2 spin ground states of the Co( ii ) ions with the easy-plane anisotropy for 1 and 2. Ab initio calculations were performed to confirm the positive magnetic anisotropies of 1 and 2. Frequency- and temperature-dependent alternating-current (ac) magnetic susceptibility measurements revealed slow magnetic relaxation for 1 and 2 at an applied dc field. Finally, the magnetic properties of 1 and 2 were compared to those ofmore »other Co( ii ) complexes with a [CoAB 3 ] moiety.« less
    Free, publicly-accessible full text available May 17, 2023
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