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In order to suppress leakage current caused in the traditional multi-cells series Li-ion battery pack protection system, a new battery voltage transfer method is presented in this paper, which uses the current generated in the transfer process of one of the batteries to compensate for the leakage of itself and other cells except the top cell. Based on the 0.18 µm Bipolar and CMOS and DMOS technology, this proposed circuit has been integrated into a 7-cells Li-ion battery charge and discharge protection chip successfully. The experimental results of cell balancing confirm that the balancing algorithm can help with the shortage of the voltage transfer circuit. Furthermore, analysis of 20 samples shows that the new method can greatly suppress the battery leakage. Compared with the traditional solution, the voltage transfer circuit proposed in this paper greatly reduces the leakage current, which helps to extend the service life of the battery.

Increasing availability of reactive nitrogen (N) threatens plant diversity in diverse ecosystems. While there is mounting evidence for the negative impacts of N deposition on one component of diversity, species richness, we know little about its effects on another one, species evenness. It is suspected that ecosystem management practice that removes nitrogen from the ecosystem, such as hay-harvesting by mowing in grasslands, would mitigate the negative impacts of N deposition on plant diversity. However, empirical evidence is scarce. Here, we reported the main and interactive effects of N deposition and mowing on plant diversity in a temperate meadow steppe with 4-year data from a field experiment within which multi-level N addition rates and multiple N compounds are considered. Across all the types of N compounds, species richness and evenness significantly decreased with the increases of N addition rate, which was mainly caused by the growth of a tall rhizomatous grass, Leymus chinensis. Such negative impacts of N addition were accumulating with time. Mowing significantly reduced the dominance of L. chinensis, and mitigated the negative impacts of N deposition on species evenness. We present robust evidence that N deposition threatened biodiversity by reducing both species richness and evenness, a process which could be alleviated by mowing. Our results highlight the changes of species evenness in driving the negative impacts of N deposition on plant diversity and the role of mowing in mediating such negative impacts of N deposition.

In this paper, a new high-voltage level shifter (HVLS) structure is proposed, which has a significantly improved transient response over existing structures. To overcome signal transfer delay of the conventional HVLS caused by parasitic capacitance due to high-voltage MOSFETs, this structure employs a novel circuit module "inverse Schmitt trigger" to drive the pull-up transistors of conventional HVLS. As a result, the "Miller Plateau" caused by parasitic capacitance can be minimized. Hence, the overall transfer delay of the structure is significantly reduced. The simulation results based on SPECTRE and 0.5 $$\upmu $$μm high-voltage CMOS process show that compared to other currently available structures whose transfer delays are several nanoseconds on average, the proposed structure is able to provide a nanosecond transfer delay without using large boost capacitors which are impractical to be integrated or using complex logic units which decrease reliability of circuit. Also, the typical transfer delay of the proposed structure is a constant 1.3 ns, which is irrelevant to parasitic capacitance and insensitive to transfer voltage level.

The use of magnetic micro- and nanoparticles for the removal of pollutants from wastewater is gaining increasing attention. Here, amine-functionalized magnetic microparticles (AFMMs) and carboxylic-functionalized magnetic microparticles (CFMMs) were synthesized by modifying the surface of Fe3O4 with amino and carboxyl groups for fast and efficient removal of textile dyes from aqueous solution. The functionalized magnetic microparticles were characterized by TEM, SEM, FTIR, and VSM. The adsorption experiments were carried out by varying the regulating parameters like solution pH and adsorbent dosage and analyzed in terms of kinetic and isotherm models. It was demonstrated that simple electrostatic interactions between functionalized magnetic microparticles and adsorbates played a dominating role in the adsorption of textile dyes. The positively charged AFMMs adsorbed the negatively charged dyes vat blue (VB) and direct violet (DV) at pH 6 with the maximum removal percentages of 95.72 and 97.29 %, respectively. The maximum removal percentages of cationic dyes methylene blue (MB) and azure A chloride (AA) on the negatively charged CFMMs were 92.28 and 92.22 % at pH 11, respectively. Moreover, the adsorbed dyes could be desorbed completely from the surface of CFMMs at a lower pH, and AFMMs also allowed rapid removal of VB and DV in different water samples. All the results in the present work demonstrated that the functionalized magnetic microparticles as efficient, magnetically separable adsorbents are attractive for the removal of dye pollutants.

Background Multitrait analysis of quantitative trait loci can capture the maximum information of experiment. The maximum-likelihood approach and the least-square approach have been developed to jointly analyze multiple traits, but it is difficult for them to include multiple QTL simultaneously into one model. Results In this article, we have successfully extended Bayesian composite space approach, which is an efficient model selection method that can easily handle multiple QTL, to multitrait mapping of QTL. There are many statistical innovations of the proposed method compared with Bayesian single trait analysis. The first is that the parameters for all traits are updated jointly by vector or matrix; secondly, for QTL in the same interval that control different traits, the correlation between QTL genotypes is taken into account; thirdly, the information about the relationship of residual error between the traits is also made good use of. The superiority of the new method over separate analysis was demonstrated by both simulated and real data. The computing program was written in FORTRAN and it can be available for request. Conclusion The results suggest that the developed new method is more powerful than separate analysis.