1,488 research outputs found
Dynamic scaling in the 2D Ising spin glass with Gaussian couplings
We carry out simulated annealing and employ a generalized Kibble-Zurek
scaling hypothesis to study the 2D Ising spin glass with normal-distributed
couplings. The system has an equilibrium glass transition at temperature .
From a scaling analysis when at different annealing
velocities, we extract the dynamic critical exponent , i.e., the exponent
relating the relaxation time to the system length ; .
We find for both the Edwards-Anderson spin-glass order
parameter and the excess energy. This is different from a previous study of the
system with bimodal couplings [S. J. Rubin, N. Xu, and A. W. Sandvik, Phys.
Rev. E {\bf 95}, 052133 (2017)] where the dynamics is faster and the above two
quantities relax with different exponents (and that of the energy is larger).
We here argue that the different behaviors arise as a consequence of the
different low-energy landscapes---for normal-distributed couplings the ground
state is unique (up to a spin reflection) while the system with bimodal
couplings is massively degenerate. Our results reinforce the conclusion of
anomalous entropy-driven relaxation behavior in the bimodal Ising glass. In the
case of a continuous coupling distribution, our results presented here indicate
that, although Kibble-Zurek scaling holds, the perturbative behavior normally
applying in the slow limit breaks down, likely due to quasi-degenerate states,
and the scaling function takes a different form.Comment: 10 pages, 5 figure
Examining influences of science teachers’ practices and beliefs about technology-based assessment on students’ performances : a hierarchical linear modeling approach
Abstract: This study aimed at investigating how the factors across the student and school levels would influence students’ performance on a technology-based assessment (TBA). TBAs not only enable teachers to evaluate their students’ complex abilities, but have also been adopted by large-scale and international evaluation programs in recent years. Although some factors such as students’ engagement or teachers’ beliefs about assessments have been articulated, relatively little is understood about how the factors across levels affect students’ performances on TBAs. This study thus collected data of 494 science teachers and 1774 eighth and 11th graders from 32 schools, and conducted a hierarchical linear modeling analysis to provide a more accurate estimation of the effects of the variables in each level on students’ performances. The results indicated the importance of students’ engagement in related learning activities and their computer experiences at both the individual and school levels. Additionally, although none of the teachers’ variables at the school level such as the time teachers spent on the use of various types of TBAs or their intentions to use TBAs had significant main effects on students’ performances, the teachers’ influence at the school level on students’ learning could still be found by a significant moderating effect from teachers’ usage of TBAs. Our results provide insight into how to promote students’ performance on TBAs and can contribute in various ways to future research efforts concerning the use of TBAs in classrooms
symmetry-enriched toric code
We propose and study a generalization of Kitaev's toric code on
a square lattice with an additional global symmetry. Using Quantum Monte
Carlo simulation, we find strong evidence for a topologically ordered ground
state manifold with indications of UV/IR mixing, i.e., the topological
degeneracy of the ground state depends on the microscopic details of the
lattice. Specifically, the ground state degeneracy depends on the lattice tilt
relative to the directions of the torus cycles. In particular, we observe that
while the usual compactification along the vertical/horizontal lines of the
square lattice shows a two-fold ground state degeneracy, compactifying the
lattice at leads to a three-fold degeneracy. In addition to its
unusual topological properties, this system also exhibits Hilbert space
fragmentation. Finally, we propose a candidate experimental realization of the
model in an array of superconducting quantum wires
Adaptive RF Pigtail Probe Modeling for De-embedding of RF Measurements
This disclosure describes techniques for accurate estimation and de-embedding of the effects of pigtail probes in circuits. An adaptive pigtail model is developed and described that can accurately de-embed the effects of pigtail probes in digital circuits. Example parameters are identified that include pigtail length, tip length, pigtail tilt degree, ground distance, and solder amount. A pigtail simulation model is developed to model the soldered pigtail probe. The dependency of circuit impedance on the identified parameters is determined by experimentation which indicates that circuit performance can be boosted by short ground distance lengths, low tilt angles, thick support wires, short pin and cable lengths, and thick support wires. The pigtail model can be utilized to derive de-embedded results for different pigtail probe configurations without a need for explicitly measuring de-embedded results for those configurations
Assessing the Technological Pedagogical Content Knowledge of Pre-Service Science Teachers at a South African University
Abstract: The purpose of this study was to investigate preservice science teachers’ proficiency levels regarding their practical knowledge of technological pedagogical content knowledge (TPACK-P). A sample of 103 third- and fourth-year participants from a South African university were surveyed on their TPACK-P proficiency levels using a 17-item questionnaire developed by Yeh, Lin, Hsu, Wu, and Hwang. Rasch analysis was employed to analyse the data. The findings of the study showed that the great majority of preservice science teachers have a proficiency level of 3 for their knowledge on TPACK-P. A proficiency level of 3 demonstrates the infusive application, where the teacher makes use of ICTs to guide learners to self-explore and independently construct their science knowledge. These baseline findings could inform higher education institutions in reviewing their teacher development programmes for pre-service science teacher preparedness in harnessing the affordances of ICT in their teaching
Correlation of histopathologic and dynamic tissue perfusion measurement findings in transplanted kidneys
BACKGROUND: Cortical perfusion of the renal transplant can be non-invasively assessed by color Doppler ultrasonography. We performed the Dynamic Tissue Perfusion Measurement (DTPM) of the transplant’s renal cortex using color Doppler ultrasonography (PixelFlux technique), and compared the results with the histopathological findings of transplant biopsies. METHODS: Ninety-six DTPM studies of the renal transplant’s cortex followed by transplant biopsies were performed in 78 patients. The cortical perfusion data were compared with the parameter of peritubular inflammatory cell accumulation (PTC 0 to 3) based on Banff-classification system. RESULTS: A significant decrease of cortical perfusion could be demonstrated as the inflammatory cells accumulation in peritubular capillaries increased. Increasing peritubulitis caused a perfusion loss from central to distal layers of 79% in PTC 0, of 85% in PTC 1, of 94% in PTC 2, and of 94% in PTC 3. Furthermore, the perfusion loss due to peritubular inflammation was more prominent in the distal cortical layer. The extent of perfusion decline with increasing peritubulitis (from PTC 0 to PTC 3) was 64% in proximal 20% cortical layer (p20), 63% in proximal 50% cortical layer (p50), increased to 76% in distal 50% cortical layer (d50), and peaked at 90% in the distal 20% cortical layer (d20). For those without peritubulitis (PTC 0), the increase in the the Interstitial Fibrosis/Tubular Atrophy (IF/TA) score was accompanied by a significantly increased cortical perfusion. A Polyomavirus infection was associated with an increased cortical perfusion. CONCLUSIONS: Our study demonstrated that the perfusion of the renal transplant is associated with certain pathological changes within the graft. DTPM showed a significant reduction of cortical perfusion in the transplant renal cortex related to peritubular capillary inflammation
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Comparative global immune-related gene profiling of somatic cells, human pluripotent stem cells and their derivatives: implication for human lymphocyte proliferation.
Human pluripotent stem cells (hPSCs), including embryonic stem cells (ESCs) and induced PSCs (iPSCs), represent potentially unlimited cell sources for clinical applications. Previous studies have suggested that hPSCs may benefit from immune privilege and limited immunogenicity, as reflected by the reduced expression of major histocompatibility complex class-related molecules. Here we investigated the global immune-related gene expression profiles of human ESCs, hiPSCs and somatic cells and identified candidate immune-related genes that may alter their immunogenicity. The expression levels of global immune-related genes were determined by comparing undifferentiated and differentiated stem cells and three types of human somatic cells: dermal papilla cells, ovarian granulosa cells and foreskin fibroblast cells. We identified the differentially expressed genes CD24, GATA3, PROM1, THBS2, LY96, IFIT3, CXCR4, IL1R1, FGFR3, IDO1 and KDR, which overlapped with selected immune-related gene lists. In further analyses, mammalian target of rapamycin complex (mTOR) signaling was investigated in the differentiated stem cells following treatment with rapamycin and lentiviral transduction with specific short-hairpin RNAs. We found that the inhibition of mTOR signal pathways significantly downregulated the immunogenicity of differentiated stem cells. We also tested the immune responses induced in differentiated stem cells by mixed lymphocyte reactions. We found that CD24- and GATA3-deficient differentiated stem cells including neural lineage cells had limited abilities to activate human lymphocytes. By analyzing the transcriptome signature of immune-related genes, we observed a tendency of the hPSCs to differentiate toward an immune cell phenotype. Taken together, these data identify candidate immune-related genes that might constitute valuable targets for clinical applications
Applying Apriori algorithm to explore long-term care services usage status—Variables based on the combination of patients with dementia and their caregivers
PurposeThe aim of this study was to identify the combination of patients with dementia and their caregivers' characteristics associated with long-term care (LTC) services usage.Patients and methodsA cross-sectional study was conducted with 475 patients with mild, moderate, and severe dementia at Changhua Christian Hospital, Taiwan. Eleven types of variables from patients with dementia, nine types of variables from patients' caregivers, and 15 types of LTC services were used for this study. The Apriori algorithm was employed to identify the attributes from the patients and their caregivers who used a particular LTC service from a comprehensive viewpoint.ResultsA total of 75 rules were generated by the Apriori algorithm with support of 2%, confidence of 80%, and lift >1. Among these rules, 25 rules belonged to home personal care services which were summarized further into four general rules for home personal care services. On the other hand, 50 rules belonged to assistive devices that were summarized further into 21 general rules based on their similarities. Patient's walking ability, patient's emotional liability, unemployed or retired caregivers, caregivers' feelings with either helplessness or hopelessness, and caregivers who cared for patients with dementia solely were found to be the critical variables to use home personal care services. In contrast, patient's walking ability, age, and severity as well as caregivers' age, mood, marital status, caregiving burden, and the patient being cared for mainly by a foreign care helper were found to be the critical variables to use assistive devices.ConclusionThis study showed preliminary results on the LTC service usage from patients with dementia and their caregivers residing in the community. Understanding the patient–caregiver dyad's profile leads the service providers, policymakers, and the referral team to tailor service provisions better to meet the needs and identify the potential target groups. The findings in this study serve as references to reduce caregivers' burden as well as to improve the quality of care for patients with dementia
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