A genomic data analyzer may be configured to detect and characterize, with a variant calling module, genomic variant scenarios in sequencing reads from an enriched patient genomic sample comprising a combination of a first repeat pattern and a second repeat pattern, such as repeats of homopolymer (single nucleotide) and/or heteropolymer (multiple nucleotide) basic motifs. The variant calling module may estimate the probability distribution of the length of the first repeat pattern and the probability distribution of the length of the second repeat pattern by comparing the distribution of the repeat pattern length measurements in patient data to the distribution of the repeat pattern length measurements in control data, in order to remove biases possibly induced by the next generation sequencing laboratory setup both in control and patient data. The variant calling module may further measure, read by read, the joint probability distribution for the first and the second repeat patterns lengths, and compare it with the expected joint probability distribution for various genomic variant scenarios for the patient, each variant scenario being characterized by a first length of the first repeat pattern and a second length of the second repeat pattern, to select the most likely patient genomic variant scenario as the scenario for which the measured joint probability distribution best matches the expected joint probability distribution.

Abstract The ordered ω phases in high Nb containing TiAl (Nb-TiAl) alloys have been garnering increasing attention in the recent years. However, the investigations on the Nb dependence on the ωo precipitation are scarce. In this study, the effect of Nb content on the ωo precipitation in high Nb (6–10 at%) containing TiAl alloys after long-time annealing at 850 °C has been studied. The results show that small ordered ω particles in the retained βo phase cannot be discerned under scanning electron microscope (SEM) but can be observed using transmission electron microscopy (TEM). Although the Nb segregation can be eliminated after the homogenization heat treatment, the ωo phase precipitated in all the alloys studied after annealing at 850 °C. TEM examination reveals that the orientation relationship between the ωo and α2 phases can be derived as: [0001]ωo//[112̄0]α2; (112̄0)ωo//(0001)α2, which indicates that the ωo phase is directly transformed from the parent α2 phase. Small γ particles are also observed within the ωo areas. The α2→ωo+γ decomposition process is expected during annealing. It is concluded that ωo phase is an equilibrium phase in high Nb-TiAl alloys at 850 °C.

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Highlights • The βo phase in as-cast high Nb containing TiAl alloys is composed of numerous ordered ω particles. • The βo(ω) area decomposed into large B82-ωo grains and small γ particles after annealing at 850 °C. • The direct α2.→ωo transformation in the lamellar colonies is experimentally observed. • The βo phase is substituted by α2 after annealing at 1250 °C through coarsening of the α laths. Abstract The ordered ω phase in as-cast Ti-45Al-8.5Nb-0.2B alloy and its phase transformation during heat treatment are investigated. Ordered ω variants are observed to uniformly precipitate within the βo area in as-cast Ti-45Al-8.5Nb-0.2B alloy. After annealing at 850 °C for 500 h, the βo areas are replaced by large B82-ωo grains. Small γ precipitates are observed at the grain boundaries of the ωo phase and are thought to be transformed from the βo phase. Moreover, the ωo precipitates directly transformed from the parent α2 laths are found within the lamellar colonies. The orientation relationship between the ωo phase and the lamellar structure is < 110]γ//[0001]ωo//[11 2 ¯ 0]α2; (111)γ//(11 2 ¯ 0)ωo//(0001)α2. The interfaces between the ωo and γ are semi-coherent. The ωo phase is an equilibrium phase at 850 °C in high Nb-containing TiAl alloys. When annealed at 1250 °C, the ordered ω is eliminated in a short time, and the βo phase is substituted by the coarsened α2 laths in the lamellar colonies after 12 h annealing.

A novel photo-electro-chemical catalytic reactor with single/double-tank was designed. TiO2/Ti thin film electrode was used as photo-anodes, graphite as cathode and a saturated calomel electrode (SCE) as the reference electrode in the reactor. The efficiency of photo-electro-chemical catalysis was enhanced because the target pollutant was degraded not only titanium dioxide electrode in anodic tank, but also hydrogen peroxide through reducing dissolved oxygen with graphite electrode in catholyte. Malachite green (MG) and crystal violet (CV) were degradated effectively in these two reactors. The degradation efficiency of the double-tank reactor is superior to that of single-tank reactor and its apparent reaction rate constant is twice or more of than that of the single-tank reactor, which was result from the higher concentration of H2O2 in the double-tank reactor. In the single-tank reactor, H2O2 generated during cathodal reaction diffused to the anode and was consumed, while it could be prevented in the double-tank reactor. Under the conditions of cathodic potential E-c at -0.6V, initial solution pH at 3.0 and initial solution concentration 30 mg.L-1 catalytic degradation of MG and CV were both pseudo-first order reactions.

Disclosed is a frequency increasing processing method of a digital signal, which comprises the following steps: S101, inputting a real signal channel collected in a certain period of time; S102, performing Hilbert transformation on the real signal channel so as to obtain an instantaneous amplitude channel of the real signal channel; S103, based on the instantaneous amplitude channel, perform frequency increasing and polarity inversion processing on the real signal channel so as to obtain a frequency increasing signal channel. Because a polarity of an event signal is eliminated and a frequency is increased, a valid weak event signal and an invalid interference signal are easier to be distinguished. Thus, a weak signal source can be identified without a large number of strong events. This shows advantages of environment protection and cost reduction in the field of shale gas crushing micro-earthquake monitoring. In addition, the zero polarity inversion and frequency increasing processing in the present invention are simple in steps and are highly universal. Once constants k1 and k2 are given, signal frequency and zero polarity processing of any signals can be implemented.

Systems and methods for generating explanation information for a result of an application system. Explanation configuration is generated based on received user input. Responsive to an explanation generation event, a plurality of modified input variable value sets are generated for a first applicant by using the explanation configuration. For each modified input variable value set: a request is provided to a first application system for generation of a result for the modified input variable value set, and a result is received for the modified input variable value set. At least one input variable value is selected based on a comparison between a first result of a first input variable value set of the first applicant and results for the modified input variable value set. Explanation information is generated for the first result by using human-readable description information for each selected input variable value, in accordance with the explanation configuration.

In this paper, we describe an real-time algorithm to detect 3D hand gestures from depth images. Firstly, we detect moving regions by frame difference; then, regions are refined by removing small regions and boundary regions; finally, foremost region is selected and its trajectories are classified using an automatic state machine. Experiments on Microsoft Kinect for Xbox captured sequences show the effectiveness and efficiency of our system.

A genomic data analyzer system detects a set of characteristics that uniquely determine the input next-generation-sequencing (NGS) sample processing and corresponding genomic context for optimizing a genomic analysis workflow in precision medicine applications. Depending on characteristics such as the DNA target enrichment amplicon-based or probe-based assay technology, the sample type or laboratory process characteristics, the NGS sequencing technology and the genomic context, the genomic data analyzer automatically selects and configures a data alignment module and a variant calling module to optimize the sensitivity and the specificity of the detection of genomic mutations of clinical relevance such as SNPs and INDELs in a diversity of pathologies. More characteristics of the sequencing technology, the target enrichment technology, the samples or the genomic context may be identified according to intermediary results of the data alignment module and the variant calling module, and the genomic data analyzer may further adapt accordingly the alignment module and the variant calling module to execute specific genomic data processing methods. The genomic data analyzer system can thus automatically serve a diversity of sourcing laboratories operating with different biological assays and sequencing technologies setups for different pathologies without requiring a dedicated manual configuration of the genomic analysis workflow at each laboratory for each possible personalized medicine genomic analysis request.