An Analysis on Syntactic and Semantic Factors Found in Newspaper Headlines

As a type of media text, newspaper has an important role in human\u27s life because it presents various local, national and International information and events. In order to attract readers\u27 attention, journalists make the headlines as ambiguous and confusing as possible so that readers are curious to know the content of the whole story and they would read it. Moreover, in presenting the information or events, different reporters will have different linguistic choices which include the choice of words and expressions and different linguistic structures. Thus, this paper analyzes how the different linguistic choices and structures used in the headlines of The Jakarta Post and Indonesian Daily News would construct different linguistic representations of events in the world

Phosphomolybdic acid-responsive Pickering emulsions stabilized by ionic liquid functionalized Janus nanosheets

<p><b>A</b> Representative photomicrographs of Caspase-3 immunofluorescence staining (400×). <b>B</b> Quantification of Caspase-3 fluorescence intensity in different groups. <b>C</b> Representative Western blot band of Caspase-3 activation in the ischemic cortex at 24 h after reperfusion. <b>D</b> Effect of LBP (40 mg/kg) on the Caspase-3 activation in MCAO mice cortex at 24 h after reperfusion. Data are expressed as mean±SEM (n = 6). ^##P<0.01 vs. sham-operated group; **P<0.01 vs. vehicle group.</p

3D Gaussian Geometric Moment Invariants

3D moment invariants are important tools for 3D image feature representation. In this paper, we introduced a novel approach for constructing 3D moment invariants using Gaussian geometric moments. Our proposed method demonstrated invariance under translation, rotation, and scale transformations. The numerical experiments validate the invariance and robustness of the proposed method, comparing it with traditional 3D geometric moments and revealing superior performance in the presence of noise and transformations. Additionally, the method is applied to content-based 3D image retrieval, exhibiting promising results through Minkowski distance-based retrieval on the Princeton Shape Benchmark (PSB) database.</p

Mechanisms for Oxidative Unzipping and Cutting of Graphene

We identify mechanisms and surface precursors for the nucleation and growth of extended defects on oxidized graphene. Density functional theory calculations show that the formation of surface structures capable to initiate the unzipping and cracking of the oxidized C network is strongly influenced by the constraint of the graphitic lattice on the surface functional groups. Accounting for this effect on the preferential spatial patterning of O adsorbates allows us to revise and extend the current models of graphene oxidative unzipping and cutting. We find that these processes are rate limited by O diffusion and driven by the local strain induced by the O adspecies. Adsorbate mobility is ultimately recognized as a key factor to control and to prevent the C-network breakdown during thermal processing of oxidized graphene

Data_Sheet_1_Robust and reusable self-organized locomotion of legged robots under adaptive physical and neural communications.pdf

IntroductionAnimals such as cattle can achieve versatile and elegant behaviors through automatic sensorimotor coordination. Their self-organized movements convey an impression of adaptability, robustness, and motor memory. However, the adaptive mechanisms underlying such natural abilities of these animals have not been completely realized in artificial legged systems.MethodsHence, we propose adaptive neural control that can mimic these abilities through adaptive physical and neural communications. The control algorithm consists of distributed local central pattern generator (CPG)-based neural circuits for generating basic leg movements, an adaptive sensory feedback mechanism for generating self-organized phase relationships among the local CPG circuits, and an adaptive neural coupling mechanism for transferring and storing the formed phase relationships (a gait pattern) into the neural structure. The adaptive neural control was evaluated in experiments using a quadruped robot.ResultsThe adaptive neural control enabled the robot to 1) rapidly and automatically form its gait (i.e., self-organized locomotion) within a few seconds, 2) memorize the gait for later recovery, and 3) robustly walk, even when a sensory feedback malfunction occurs. It also enabled maneuverability, with the robot being able to change its walking speed and direction. Moreover, implementing adaptive physical and neural communications provided an opportunity for understanding the mechanism of motor memory formation.DiscussionOverall, this study demonstrates that the integration of the two forms of communications through adaptive neural control is a powerful way to achieve robust and reusable self-organized locomotion in legged robots.</p

Protein Expression Profiles Characterize Distinct Features of Mouse Cerebral Cortices at Different Developmental Stages

<div><p>The proper development of the mammalian cerebral cortex requires precise protein synthesis and accurate regulation of protein expression levels. To reveal signatures of protein expression in developing mouse cortices, we here generate proteomic profiles of cortices at embryonic and postnatal stages using tandem mass spectrometry (MS/MS). We found that protein expression profiles are mostly consistent with biological features of the developing cortex. Gene Ontology (GO) and KEGG pathway analyses demonstrate conserved molecules that maintain cortical development such as proteins involved in metabolism. GO and KEGG pathway analyses further identify differentially expressed proteins that function at specific stages, for example proteins regulating the cell cycle in the embryonic cortex, and proteins controlling axon guidance in the postnatal cortex, suggesting that distinct protein expression profiles determine biological events in the developing cortex. Furthermore, the STRING network analysis has revealed that many proteins control a single biological event, such as the cell cycle regulation, through cohesive interactions, indicating a complex network regulation in the cortex. Our study has identified protein networks that control the cortical development and has provided a protein reference for further investigation of protein interactions in the cortex.</p></div

Highly Efficient Microscale Purification of Glycerophospholipids by Microfluidic Cell Lysis and Lipid Extraction for Lipidomics Profiling

This article presents a novel method for small-scale lipidomics of bacterial cells by integrating extraction of glycerophospholipids on a microchip with a nanoelectrospray ionization quadrupole time-of-flight tandem mass spectrometer (nanoESI-Q-TOF MS/MS). The standard starting point for typical macroscale lipid analysis is a multiphase liquid–liquid extraction. Working with small populations of cells (1 to about 1000) requires a scaled down process in order to minimize dilution and facilitate the interface with microscale separation methods for sample cleanup and introduction to mass spectrometry. We have developed a microfluidic system that allows for lysis of bacterial cells, capture of lipids, and elution of captured lipids from a solid phase for microscale purification of lipids. The best on-chip extraction efficiency for glycerophospholipids was as high as 83.3% by integrating silica beads as the packing material with methanol as the eluent. A total of 10 successive measurements were evaluated indicating that the microchip packed with fresh silica beads is capable of being reused four times without any loss in the lipid extraction process. The initial screening based on high-resolution tandem mass spectrometry data along with a discovery profiling approach revealed the presence of 173 identified phospholipid species from microfluidic cell extracts. This work demonstrates the potential of incorporating microchip-based lipid extraction into cellular lipidomics research

Presentation_1.pdf

<p>Proper proliferation and differentiation of neural progenitors (NPs) in the developing cerebral cortex are critical for normal brain formation and function. Emerging evidence has shown the importance of microRNAs (miRNAs) in regulating cortical development and the etiology of neurological disorders. Here we show that miR-26 is co-expressed with its host gene Ctdsp in the mouse embryonic cortex. We demonstrate that similar to its host gene Ctdsp2, miR-26 positively regulates proliferation of NPs through controlling the cell-cycle progression, by using miR-26 overexpression and sponge approaches. On the contrary, miR-26 target gene Emx2 limits expansion of cortical NPs, and promotes transcription of miR-26 host gene Ctdsp. Our study suggests that miR-26, its target Emx2 and its host gene Ctdsp cohesively regulate proliferation of NPs during the mouse cortical development.</p

Image-Based Single-Cell Sorting via Dual-Photopolymerized Microwell Arrays

We present a simple and cost-effective single-cell sorting method using two sequential photopolymerization steps that enables sorting based upon imaged phenotypes. The first photopolymerization step uses a thiolene-based resin with minimal autofluorescence to create an array of microwells to capture cells. The second photopolymerization uses (poly)­ethylene glycol diacrylate to encapsulate undesired cells in a hydrogel, allowing for retrieval of the desired cell population using simple washing. We quantitatively characterize the method using fluorescently labeled cells and then applied the method to isolate cells based upon imaged fluorescence localization. The method is readily transferrable to other laboratories and will provide a facile route to sorting of cells based on imaged phenotypes

Functional protein association network of differentially expressed proteins in cortices at E13.5 and E15.5.

<p>Different line colors represent the types of evidence for the association: green, neighborhood; red, gene fusion; blue, co-occurrence; black, co-expression; purple, experiments; turquoise, database; yellow, text mining; and aqua, homology. The default setting for SPRING 9.1 was used to perform the analysis.</p