Mutational analysis of JIL-1, a tandem kinase in Drosophila

The protein product of the JIL-1 gene is a tandem chromosomal kinase (referred to as JIL-1). Studies of JIL-1 P-element deletion and insertion loss-of-function mutations suggest that JIL-1 plays a role in histone H3 serine 10 phosphorylation, polytene chromosome morphology maintenance, dosage compensation pathways, and homeotic transformation pathways. Due to the limitation of deletion/insertion mutations, EMS mutagenesis was performed to induce point mutations of JIL-1 and the mutation screen was designed to recover temperature-sensitive JIL-1 alleles. 11 new mutant alleles were identified and 4 were selected for further analysis. The mutant phenotypes given by the four new JIL-1 alleles were characterized. Three of the four showed polytene chromosome phenotypes similar to those of individuals homozygous for a null allele of JIL-1, and one showed polytene chromosome phenotypes similar to those of individuals homozygous for a hypomorphic allele of JIL-1. All of the four mutations produce an adult male homeotic transformation phenotype similar to that of known JIL-1 hypomorphic alleles, even though the penetrance of this phenotype is not the same for each of the four mutations. Fluorescence-conjugated antibody staining of mutant chromosomes showed that for all four mutations the JIL-1 protein level was reduced and the localization of the JIL-1 staining was different from that of the wild type controls. Western blot analysis showed no detectable amounts of JIL-1 protein in mutant individuals for all four mutations. The DNA sequence of the JIL-1 gene of one of the new mutants, 29-1b, was determined and no significant base sequence changes were found in the open reading frame

Radiosonde observations of vertical wave number spectra for gravity waves in the lower atmosphere over Central China

International audienceVertical wave number spectra of inertial gravity waves in the troposphere and lower stratosphere over six stations at latitudes from 20° N to 40° N were statistically studied by using the data from Radiosonde observation on a twice daily basis at 08:00 and 20:00 LT. Statistically, the spectral characteristics seem to be independent of the local observation time, and show considerable conformity between the spectral of zonal and meridional kinetic energy densities. Compared with the spectra of the kinetic energy density, the spectra of the potential energy density are steeper. in addition the characteristic wave numbers of the spectra also show considerable consistency among the observations at different stations. As for the spectral slopes, they are systematically smaller (in magnitude) than the canon value of ?3, and exhibit slight height, seasonal and latitudinal variability. In addition to these universal characteristics, the spectral structures also exhibit departures and variations, and most of the departures and variations are related to the strong tropospheric jets. Generally, in the case of strong shear due to the tropospheric jet, there usually occur larger characteristic wave numbers and smaller spectral slopes. These departures seem to be persistent and climatological rather than transitory, indicating the significant impacts of the sheared background winds on the spectral structures of gravity waves

Machine learning study of the relationship between the geometric and entropy discord

As an important resource to realize quantum information, quantum correlation displays different behaviors, freezing phenomenon and non-localization, which are dissimilar to the entanglement and classical correlation, respectively. In our setup, the ordering of quantum correlation is represented for different quantization methods by considering an open quantum system scenario. The machine learning method (neural network method) is then adopted to train for the construction of a bridge between the R\`{e}nyi discord ($\alpha=2$) and the geometric discord (Bures distance) for $X$ form states. Our results clearly demonstrate that the machine learning method is useful for studying the differences and commonalities of different quantizing methods of quantum correlation

Tracking the Yadong-Gulu Rift belt with multiple thermochronometers on modern detritus from Yarlung-Tsangpo River

Abstract HKT-ISTP 2013 A

Exploring Boarding Strategies for High-Speed Railway

In light of the increasing demand for passenger transportation on high-speed railway (HSR), the pedestrian flow at HSR stations has become quite crowded in many countries, which has attracted researchers to study the HSR boarding behavior. In this paper, we propose three boarding strategies based on the features of the boarding behavior at an origin HSR station; we then use a cellular automaton (CA) model to study the impacts of boarding strategies on each passenger’s motion during the boarding process at HSR station. The simulation results indicate that some of the three strategies can optimize some passengers’ boarding time and relieve the congestion degree, and the positive impacts on the boarding process are the most prominent when the three strategies are used simultaneously. The results can help administrators to effectively organize the boarding process at the origin HSR station