Aperiodic structures cause significant challenges to subtractive manufacturing methods due to the common features such as inaccessible voids within the structure. Additive man- ufacturing presents an appealing alternative for this purpose. The aim of this research is to test analysis heuristics for validity through application to periodic structures. First, a...
¹⁸⁶Ir gamma transitions are studied via the reaction
Hf (¹⁴N, xn) Au at ¹⁴N beam energy 130 MeV. The beta decay
chain of Au is Au + Pt + Ir + Os. Singles and coincidence
data are from measurements by Ge gamma-ray detectors.
Conversion electrons are measured by Si(Li) detector....
Transmit beamforming is an important technique employed to improve efficiency and signal quality in wireless communication systems by steering signals towards their in- tended users. It often arises jointly with the antenna selection problem due to various reasons, such as limited number of radio frequency (RF) chains and energy/resource effi-...
Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by effectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying effective crowdsourcing methods for many years, and many models and...
Efficient time-series analysis can impact multiple application domains such as motif discovery in gene analysis or music data, extracting spectro-temporal patterns in acoustic scene analysis, or annotating and classifying electrical bio-signals (such as ECG, EEG, and EMG) for medical applications.
Time-series analysis involves a variety of tasks.
To predict future...
A new general method is developed for the optimization of
HPLC ternary or pseudo-quaternary mobile phases which are
represented by the trilinear coordinate system. This method can
predict the global optimum of the mobile phase composition. The
global optimum composition along each edge of the triangle and
the corresponding selectivity...
In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
Bisphenol A (BPA), a high-volume chemical used to make polycarbonate plastic and epoxy resins, is a ubiquitous contaminant in environment and human body. To investigate the reproductive effects of long-term exposure to low concentrations of BPA, a two-generation study was conducted using the aquatic model species of zebrafish. Our findings...
An enantioselective 1,3-dipolar cycloaddition of 2-cyclo-hexene-1-one and azomethine ylide generated in situ from isatin and amino ester was developed by employing proline sulfonamide as the catalyst. Consequently, novel polycyclic spirooxindole scaffolds with three contiguous stereocenters were prepared in high yield (up to 95%) with excellent diastereo- (> 20:1 dr) and...
Zoxamide is the sole β-tubulin inhibitor registered for the control of oomycete pathogens. The current study investigated the activity of zoxamide against Phytophthora sojae and baseline sensitivity was established with a mean EC₅₀ of 0.048 μg/ml. The data is critical for monitoring changes in zoxamide-sensitivity in the field. Three stable...
Full Text:
Resistance to Zoxamide
Meng Cai1,2†, Jianqiang Miao1†, Xi Song1, Dong Lin1, Yang Bi3, Lei Chen4, Xili Liu1