86 research outputs found
Do as you believe : On the behavioral response to environment protection
Treballs Finals del Mà ster d'Economia, Facultat d'Economia i Empresa, Universitat de Barcelona, Curs: 2020-2021, Tutor: Francois CohenThis paper builds an environmental belief predictor using the households’ sociodemographics to explore the relationship of environmental belief and residential energy expenditure using GSS and AHS data. The analysis starts by showing the stable and different environment perceptions across households’ characteristics which may suggest different sociodemographics contribute to the various environmental beliefs. Then I use logit modeling strategy to select the predictors and match the availability in AHS data to predict the corresponding environmental belief of those households, and using the predicted probabilities to explore the cross-individual and cross-time variations in residential energy expenditure by using quantile regression and fixed effects model respectively. In order to cope with the discrepancies between two different datasets, Lewbel IV approach is implemented to mitigate the measurement error. The results from the analysis suggest that environmental belief affects the residential energy expenditure both in cross-individual and cross-time analyses, which implicate that people are more environmentally concerned reduce their own energy consumption to protect the environment
Efficient Mixed Transformer for Single Image Super-Resolution
Recently, Transformer-based methods have achieved impressive results in
single image super-resolution (SISR). However, the lack of locality mechanism
and high complexity limit their application in the field of super-resolution
(SR). To solve these problems, we propose a new method, Efficient Mixed
Transformer (EMT) in this study. Specifically, we propose the Mixed Transformer
Block (MTB), consisting of multiple consecutive transformer layers, in some of
which the Pixel Mixer (PM) is used to replace the Self-Attention (SA). PM can
enhance the local knowledge aggregation with pixel shifting operations. At the
same time, no additional complexity is introduced as PM has no parameters and
floating-point operations. Moreover, we employ striped window for SA (SWSA) to
gain an efficient global dependency modelling by utilizing image anisotropy.
Experimental results show that EMT outperforms the existing methods on
benchmark dataset and achieved state-of-the-art performance. The Code is
available at https://github. com/Fried-Rice-Lab/EMT.git.Comment: Super-resolution, Long-range attention, Transformer, Localit
Observer and Command-Filter-Based Adaptive Fuzzy Output Feedback Control of Uncertain Nonlinear Systems
Image Super-Resolution using Efficient Striped Window Transformer
Transformers have achieved remarkable results in single-image
super-resolution (SR). However, the challenge of balancing model performance
and complexity has hindered their application in lightweight SR (LSR). To
tackle this challenge, we propose an efficient striped window transformer
(ESWT). We revisit the normalization layer in the transformer and design a
concise and efficient transformer structure to build the ESWT. Furthermore, we
introduce a striped window mechanism to model long-term dependencies more
efficiently. To fully exploit the potential of the ESWT, we propose a novel
flexible window training strategy that can improve the performance of the ESWT
without additional cost. Extensive experiments show that ESWT outperforms
state-of-the-art LSR transformers, and achieves a better trade-off between
model performance and complexity. The ESWT requires fewer parameters, incurs
faster inference, smaller FLOPs, and less memory consumption, making it a
promising solution for LSR.Comment: SOTA lightweight super-resolution transformer. 8 pages, 9 figures and
6 tables. The Code is available at
https://github.com/Fried-Rice-Lab/FriedRiceLa
Correlated states in twisted double bilayer graphene
Electron-electron interactions play an important role in graphene and related
systems and can induce exotic quantum states, especially in a stacked bilayer
with a small twist angle. For bilayer graphene where the two layers are twisted
by a "magic angle", flat band and strong many-body effects lead to correlated
insulating states and superconductivity. In contrast to monolayer graphene, the
band structure of untwisted bilayer graphene can be further tuned by a
displacement field, providing an extra degree of freedom to control the flat
band that should appear when two bilayers are stacked on top of each other.
Here, we report the discovery and characterization of such displacement-field
tunable electronic phases in twisted double bilayer graphene. We observe
insulating states at a half-filled conduction band in an intermediate range of
displacement fields. Furthermore, the resistance gap in the correlated
insulator increases with respect to the in-plane magnetic fields and we find
that the g factor according to spin Zeeman effect is ~2, indicating spin
polarization at half filling. These results establish the twisted double
bilayer graphene as an easily tunable platform for exploring quantum many-body
states
Observation of first-order quantum phase transitions and ferromagnetism in twisted double bilayer graphene
Twisted graphene multilayers are highly tunable flatband systems for
developing new phases of matter. Thus far, while orbital ferromagnetism has
been observed in valley polarized phases, the long-range orders of other
correlated phases as well as the quantum phase transitions between different
orders mostly remain unknown. Here, we report an observation of Coulomb
interaction driven first-order quantum phase transitions and ferromagnetism in
twisted double bilayer graphene (TDBG). At zero magnetic field, the transitions
are revealed in a series of step-like abrupt resistance jumps with prominent
hysteresis loop when either the displacement field (D) or the carrier density
(n) is tuned across symmetry-breaking boundary near half filling, indicating a
formation of ordered domains. It is worth noting that the good turnability and
switching of these states gives a rise to a memory performance with a large
on/off ratio. Moreover, when both spin and valley play the roles at finite
magnetic field, we observe abundant first-order quantum phase transitions among
normal metallic states from charge neutral point, orbital ferromagnetic states
from quarter filling, and spin-polarized states from half filling. We interpret
these first-order phase transitions in the picture of phase separations and
spin domain percolations driven by multi-field tunable Coulomb interactions, in
agreement with Lifshitz transition from Hartree-Fock calculations. The observed
multi-filed tunable domain structure and its hysteresis resembles the
characteristics of multiferroics, revealing intriguing magnetoelectric
properties. Our result enriches the correlated phase diagram in TDBG for
discovering novel exotic phases and quantum phase transitions, and it would
benefit other twisted moir\'e systems as well
What has affected the governance effect of the whole population coverage of medical insurance in China in the past decade? Lessons for other countries
ObjectiveThis study aimed to explore the current state of governance of full population coverage of health insurance in China and its influencing factors to provide empirical references for countries with similar social backgrounds as China.MethodsA cross-sectional quantitative study was conducted nationwide between 22 January 2020 and 26 January 2020, with descriptive statistics, analysis of variance, and logistic regression models via SPSS 25.0 to analyze the effectiveness and influencing factors of the governance of full population coverage of health insurance in China.ResultsThe effectiveness of the governance relating to the total population coverage of health insurance was rated as good by 59% of the survey respondents. According to the statistical results, the governance of the public's ability to participate in insurance (OR = 1.516), the degree of information construction in the medical insurance sector (OR = 2.345), the government's governance capacity (OR = 4.284), and completeness of the government's governance tools (OR = 1.370) were all positively correlated (p < 0.05) on the governance effect of the whole population coverage of health insurance.ConclusionsThe governance of Chinese health insurance relating to the total population coverage is effective. To effectively improve the effectiveness of the governance relating to the total population coverage of health insurance, health insurance information construction, governance capacity, and governance tools should be the focus of governance to further improve the accurate expansion of and increase the coverage of health insurance
Layer-by-Layer Epitaxy of Multilayer MoS2 Wafers
Two-dimensional (2D) semiconductor of MoS2 has great potential for advanced
electronics technologies beyond silicon1-9. So far, high-quality monolayer MoS2
wafers10-12 are already available and various demonstrations from individual
transistors to integrated circuits have also been shown13-15. In addition to
the monolayer, multilayers have narrower band gaps but improved carrier
mobilities and current capacities over the monolayer5,16-18. However, achieving
high-quality multilayer MoS2 wafers remains a challenge. Here we report the
growth of high quality multilayer MoS2 4-inch wafers via the layer-by-layer
epitaxy process. The epitaxy leads to well-defined stacking orders between
adjacent epitaxial layers and offers a delicate control of layer numbers up to
6. Systematic evaluations on the atomic structures and electronic properties
were carried out for achieved wafers with different layer numbers. Significant
improvements on device performances were found in thicker-layer field effect
transistors (FETs), as expected. For example, the average field-effect mobility
({\mu}FE) at room temperature (RT) can increase from ~80 cm2V-1s-1 for
monolayer to ~110/145 cm2V-1s-1 for bilayer/trilayer devices. The highest RT
{\mu}FE=234.7 cm2V-1s-1 and a record-high on-current densities of 1.704
mA{\mu}m-1 at Vds=2 V were also achieved in trilayer MoS2 FETs with a high
on/off ratio exceeding 107. Our work hence moves a step closer to practical
applications of 2D MoS2 in electronics.Comment: 13 pages,4 Figure
Room-temperature correlated states in twisted bilayer MoS
Moir\'e superlattices have emerged as an exciting condensed-matter quantum
simulator for exploring the exotic physics of strong electronic correlations.
Notable progress has been witnessed, but such correlated states are achievable
usually at low temperatures. Here, we report the transport evidences of
room-temperature correlated electronic states and layer-hybridized SU(4)
Hubbard model simulator in AB-stacked MoS homo-bilayer moir\'e
superlattices. Correlated insulating states at moir\'e band filling factors v =
1, 2, 3 are unambiguously established in twisted bilayer MoS. Remarkably,
the correlated electronic states can persist up to a record-high critical
temperature of over 285 K. The realization of room-temperature correlated
states in twisted bilayer MoS can be understood as the cooperation effects
of the stacking-specific atomic reconstruction and the resonantly enhanced
interlayer hybridization, which largely amplify the moir\'e superlattice
effects on electronic correlations. Furthermore, extreme large non-linear Hall
responses up to room-temperature are uncovered near correlated insulating
states, demonstrating the quantum geometry of moir\'e flat conduction band.Comment: 13 pages, 3 figure
Research on thrust vector control of nonlinear solid rocket motor nozzle based on active disturbance rejection technology
In this paper, based on the auto disturbance rejection control technology, the electromechanical servo system is used as the control actuator, and the thrust vector control of the solid rocket motor nozzle with typical nonlinear friction characteristics is studied and analyzed. In this paper, the realization of the classical PID algorithm and the lack of dynamic performance are analyzed, and then the compensation algorithm based on the auto disturbance rejection control technology is added. The algorithm compensates for the phase lag of the system due to the nonlinear friction characteristics. As a result, the frequency characteristics of the system have been significantly improved
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