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Using different fast charging strategies for lithium-ion batteries can affect the degradation rate of the batteries. In this case, predicting the capacity fade curve can facilitate the application of new batteries. Considering the impact of fast charging strategies on battery aging, a battery capacity degradation trajectory prediction method based on the TM-Seq2Seq (Trend Matching—Sequence-to-Sequence) model is proposed. This method uses data from the first 100 cycles to predict the future capacity fade curve and EOL (end of life) in one-time. First, features are extracted from the discharge voltage-capacity curve. Secondly, a sequence-to-sequence model based on CNN, SE-net, and GRU is designed. Finally, a trend matching loss function is designed based on the common characteristics of capacity fade curves to constrain the encoding features of the sequence-to-sequence model, facilitating the learning of the underlying relationship between inputs and outputs. TM-Seq2Seq model is verified on a public dataset with 132 battery cells and multiple fast charging strategies. The experimental results indicate that, compared to other popular models, the TM-Seq2Seq model has lower prediction errors. [ABSTRACT FROM AUTHOR]

The discovery of ferroelectricity in AlN‐based thin films, including Al1‐xScxN and Al1‐xBxN, over the past few years has spurred great research interests worldwide. In this review, we carefully examined the latest developments for these ferroelectric films with respect to alloy composition, temperature, film thickness, deposition condition, and fatigue endurance by electric field cycling. Looking ahead, there is an urgent need to resolve the challenge of large current leakage faced by these films, which necessitates a combined efforts from both simulations and experiments to identify the root cause and eventually come up with engineering strategies to suppress such leakage. In addition, overcoming the thickness scaling challenge to push ferroelectric thin film down to a few nanometers for better device miniaturization will also be of great interest. Considering the somewhat unexpected discovery of AlN‐based thin films with potential ferroelectric application, we believe that it will be also rewarding to further explore other III‐V‐based semiconductor materials. [ABSTRACT FROM AUTHOR]

Poly(tertiary amine‐oxide)‐based polymeric nanocarriers have showed more functionalities than stealthy PEG‐based analogs due to the structure of phospholipid affinitive N‐oxides groups, which has attracted considerable attention to the synthesis of various zwitterionic copolymers with tertiary amine‐oxide grafts for enhanced anticancer drug delivery. However, poly(tertiary amine‐oxide)‐based amphiphilic copolymers with tumor intracellular microenvironment sensitivities, to the knowledge, have been rarely reported likely due to the lack of a controlled synthetic strategy. Herein, a reducible zwitterionic copolymer, poly(ε‐caprolactone)25‐SS‐poly(2‐(N‐oxide‐N,N‐diethylamino)ethyl methacrylate)30 (PCL25‐SS‐OPDEA30) is designed and synthesized successfully via combination of controlled polymerization techniques and post polymerization modification. Specifically, postoxidation of poly(tertiary amine) is confirmed to be a better synthetic strategy toward a well‐defined polymer structure relative to direct polymerization of N,N‐diethylaminoethyl methacrylate (ODEA). The effect of disulfide bridges on the self‐assembly behaviors, in vitro drug loading and drug release properties is investigated in detail. Notablely, the resulting micelles self‐assembled from PCL25‐SS‐OPDEA30 show much greater colloidal stability, higher drug loading content (DLC), and better in vitro tumor cell inhibition than the reduction‐insensitive counterparts. Overall, this study reports a robust strategy toward zwitterionic nanomedicines for on‐demand anticancer drug delivery. [ABSTRACT FROM AUTHOR]

Under the combined action of soil evaporation and vegetation transpiration, the law of soil water dissipation at different depths of vegetated slopes is unknown and the related influencing factors are unclear. In this paper, six large-scale slope models were constructed for long-term dynamic monitoring of soil water. The effects of slope ratio and vegetation on the dynamic changes in soil water at different depths were analyzed. Pearson correlation analysis was used to analyze the relationship between slope conditions, meteorological factors, and soil water dissipation. The results show that under the condition of natural evaporation, slope ratio has little effect on the dynamic change in soil water in bare slopes. However, the greater the slope ratio of vegetated slopes, the faster the soil water decreases in the 40 cm depth range. Additionally, soil water dissipation follows a logarithmic functional relationship with evaporation time in both bare and vegetated slopes. The correlation between slope conditions and soil water dissipation is stronger than that of meteorological factors. The research results can provide some theoretical support for exploring the hydrological effects of vegetated slopes. [ABSTRACT FROM AUTHOR]

ObjectiveTo examine the relationship between practices' reported use of patient-centered medical home (PCMH) processes and patients' perceptions of their care experience.Data sourcePrimary survey data from 393 physician practices and 1,304 patients receiving care in those practices.Study designThis is an observational, cross-sectional study. Using standard ordinary least-squares and a sample selection model, we estimated the association between patients' care experience and the use of PCMH processes in the practices where they receive care.Data collectionWe linked data from a nationally representative survey of individuals with chronic disease and two nationally representative surveys of physician practices.Principal findingsWe found that practices' use of PCMH processes was not associated with patient experience after controlling for sample selection as well as practice and patient characteristics.ConclusionsIn our study, which was large, but somewhat limited in its measures of the PCMH and of patient experience, we found no association between PCMH processes and patient experience. The continued accumulation of evidence related to the possibilities of the PCMH, how PCMH is measured, and how the impact of PCMH is gauged provides important information for health care decision makers.

In this paper, we study the multidimensional lattice Schrödinger operators with C 2 -cosine like quasi-periodic (QP) potential. We establish quantitative Green's function estimates, the arithmetic version of Anderson (and dynamical) localization, and the finite volume version of (1 2 -) -Hölder continuity of the integrated density of states for such QP Schrödinger operators. Our proof is based on an extension of the fundamental multi-scale analysis type method of Fröhlich–Spencer–Wittwer (Commun Math Phys 132(1), 5–25, 1990) to the higher lattice dimensions. We resolve the level crossing issue on eigenvalues parameterizations in the case of both higher lattice dimension and C 2 regular potential. [ABSTRACT FROM AUTHOR]