Characterization of Oligosaccharides and Nanoparticles by MALDI-TOF Mass Spectrometry

The possibilities of differentiating linkage positions and anomeric configurations of small oligosaccharides by negative ion mode MALDI using anion attachment followed by PSD are investigated. By careful initial adjustment of the focusing mirror ratios allowing acquisition of the peaks of interest within the same PSD segment, it is possible to obtain highly reproducible relative ion abundances. Discrimination of different linkage types is achieved by analysis of structurally-informative diagnostic peaks offered by PSD spectra of chloride adducts of oligosaccharides, whereas the relative peak intensities of selected diagnostic fragment pairs make differentiation of anomeric configuration possible. F- and Ac- cannot form anionic adducts with the oligosaccharides in significant yields. However, Br-, I- and NO3- anionic adducts consistently appear in higher abundances relative to [M - H]-, just like Cl-. Mildly acidic saccharides form both deprotonated molecules and anionic adducts, making it possible to simultaneously detect neutral and acidic oligosaccharides via anion attachment. PSD of [oligosaccharide + Cl]- yields structurally-informative fragment ions that retain the charge on the sugar molecule rather than solely forming Cl-, whereas PSD of Br-, I- and NO3- adducts of oligosaccharides yield the respective anions as the main product ions without offering structural information concerning the sugar. PSD of the chloride adduct of saccharides containing 1-2 linkages also yields chlorine-containing fragment ions. MALDI-TOF-MS and LDI-TOF-MS are shown to be useful for characterization of ultra-small titania nanoparticles. Peak maxima in MALDI-TOF mass spectra are found to correlate with nanoparticle size. The size distributions of TiO2 nanoparticles, obtained from MALDI- and LDI-TOF-MS are in good agreement with parallel TEM observations. PSD analysis of inorganic x nanomaterials is performed and valuable information about the structure of analytes has been obtained. A group of inorganic nitrate and perchlorate salts of forensic and health interest are investigated by LDI- and MALDI-TOF MS. In each case, a series of characteristic cluster ions are predominant in the negative-ion mode. The number and identity of metal atoms and anions in the recorded cluster ions can be positively identified by their m/z values, distinctive isotopic patterns and characteristic PSD fragmentation patterns

The asymmetric eddy-background flow interaction in the North Pacific storm track

Using a recently developed methodology, namely, the multiscale window transform (MWT), and the MWT-based theory of canonical transfer and localized multiscale energetics analysis, we investigate in an eddy-following way the nonlinear eddy-background flow interaction in the North Pacific storm track, based on the ERA40 reanalysis data from ECWMF. It is found that more than 50% of the storms occur on the northern flank of the jet stream, about 40% are around the jet center, and very few (less than 5%) happen on the southern flank. For storms near or to the north of the jet center, their interaction with the background flow is asymmetric in latitude. In higher latitudes, strong downscale canonical available potential energy transfer happens, especially in the middle troposphere, which reduces the background baroclinicity and decelerates the jet; in lower latitudes, upscale canonical kinetic energy transfer intensifies at the jet center, accelerating the jet and enhancing the middle-level baroclinicity. The resultant effect is that the jet strengthens but narrows, leading to an anomalous dipolar pattern in the fields of background wind and baroclinicity. For the storms on the southern side of the jet, the baroclinic canonical transfer is rather weak. On average, the local interaction begins from about 3 days before a storm arrives at the site of observation, achieves its maximum as the storm arrives, and then weakens

Attention Mechanisms in Medical Image Segmentation: A Survey

Medical image segmentation plays an important role in computer-aided diagnosis. Attention mechanisms that distinguish important parts from irrelevant parts have been widely used in medical image segmentation tasks. This paper systematically reviews the basic principles of attention mechanisms and their applications in medical image segmentation. First, we review the basic concepts of attention mechanism and formulation. Second, we surveyed over 300 articles related to medical image segmentation, and divided them into two groups based on their attention mechanisms, non-Transformer attention and Transformer attention. In each group, we deeply analyze the attention mechanisms from three aspects based on the current literature work, i.e., the principle of the mechanism (what to use), implementation methods (how to use), and application tasks (where to use). We also thoroughly analyzed the advantages and limitations of their applications to different tasks. Finally, we summarize the current state of research and shortcomings in the field, and discuss the potential challenges in the future, including task specificity, robustness, standard evaluation, etc. We hope that this review can showcase the overall research context of traditional and Transformer attention methods, provide a clear reference for subsequent research, and inspire more advanced attention research, not only in medical image segmentation, but also in other image analysis scenarios.Comment: Submitted to Medical Image Analysis, survey paper, 34 pages, over 300 reference

Bias Selectable Dual Band AlGaN Ultra-violet Detectors

Bias selectable dual band AlGaN ultra-violet (UV) detectors, which can separate UV-A and UV-B using one detector in the same pixel by bias switching, have been designed, fabricated and characterized. A two-terminal n-p-n photo-transistor-like structure was used. When a forward bias is applied between the top electrode and the bottom electrode, the detectors can successfully detect W-A and reject UV-B. Under reverse bias, they can detect UV-B and reject UV-A. The proof of concept design shows that it is feasible to fabricate high performance dual-band UV detectors based on the current AlGaN material growth and fabrication technologies

AlGaN Ultraviolet Detectors for Dual-Band UV Detection

This innovation comprises technology that has the ability to measure at least two ultraviolet (UV) bands using one detector without relying on any external optical filters. This allows users to build a miniature UVA and UVB monitor, as well as to develop compact, multicolor imaging technologies for flame temperature sensing, air-quality control, and terrestrial/counter-camouflage/biosensing applications

Experimental Progress of Semiconductor Nanomaterials

The research of semiconductor nanomaterials is the forefront of contemporary science and technology. Because ofits optical nonlinearity and luminescent properties diff erent from the bulk materials, it has great application prospectin the future optical switch, optical storage, light fast conversion and ultra-high speed processing. By arranging thecommonly used low-dimensional semiconductor nanomaterials preparation methods and methods of characterization,then compare them, it can helps to open up ideas and aids for in-depth thinking. In this paper, the preparation methodsof laser ablation, carbon nanotube template, molten salt, solution-liquid-solid method and template electrochemicalmethod are introduced. The characterization method is analyzed from particle size and morphology, composition andstructure analysis, surface interface analysis and several other aspects