STM Studies of TbTe3: Evidence for a fully Incommensurate Charge Density Wave

We observe unidirectional charge density wave ordering on the cleaved surface of TbTe3 with a Scanning Tunneling Microscope at ~6 K. The modulation wave-vector q_{CDW} as determined by Fourier analysis is 0.71 +/- 0.02 * 2 pi/c. (Where c is one edge of the in-plane 3D unit cell.) Images at different tip-sample voltages show the unit cell doubling effects of dimerization and the layer below. Our results agree with bulk X-ray measurements, with the addition of ~(1/3) * 2 pi/a ordering perpendicular to the CDW. Our analysis indicates that the CDW is incommensurate.Comment: 4 pages, 4 figure

Quantitative Analysis of Urban Regional Traffic Status

In order to monitor the real-time operation condition of urban region traffic flow, and to quickly identify regional traffic status, this paper adopts CNM (Clauset-Newman-Moore) Community Division Method of Complex Network to analyze traffic status information deeply implied from the regional road network traffic flow data, which aims to objectively develop the reasonable classification of regional traffic state with no classification criteria of determining regional traffic state. Combined with the regional road network traffic data from a certain city, the example analysis shows that this proposed method can easily provide the reasonable division of regional traffic condition and verifies the feasibility of the regional traffic state classification method. Besides, the example analysis gives the rough regional traffic status determination standard, laying theoretical basis for accurately judging the regional traffic state

N 2,N 2,N 4,N 4-Tetra­ethyl-6-{2-[(E)-1-(4-nitro­phen­yl)ethyl­idene]hydrazino}-1,3,5-triazine-2,4-diamine

The title compound, C19H28N8O2, was prepared by the reaction of N 2,N 2,N 4,N 4-tetra­ethyl-6-hydrazino-1,3,5-triazine-2,4-diamine and 1-(4-nitro­phen­yl)ethanone in ethanol at room temperature. The mol­ecular conformation is stabilized by intra­molecular C—H⋯N hydrogen-bonding inter­actions. There are also inter­molecular N—H⋯O hydrogen bonds, and C—H⋯π and π–π inter­actions, which help to stabilize the crystal structure. The centroid–centroid distance is 3.6172 (10) Å between adjacent benzene and 1,3,5-triazine rings

Anomalous pressure behavior of tangential modes in single-wall carbon nanotubes

Using the molecular dynamics simulations and the force constant model we have studied the Raman-active tangential modes (TMs) of a (10, 0) single-wall carbon nanotube (SWNT) under hydrostatic pressure. With increasing pressure, the atomic motions in the three TMs present obvious diversities. The pressure derivative of E1g, A1g, and E2g mode frequency shows an increased value (), a constant value (), and a negative value () above 5.3 GPa, respectively. The intrinsic characteristics of TMs consumedly help to understand the essence of the experimental T band of CNT. The anomalous pressure behavior of the TMs frequencies may be originated from the tube symmetry alteration from D10h to D2h then to C2h.Comment: 15 pages, 3 pages, submitted to Phys. Rev.

Predicting nonlinear dynamics of optical solitons in optical fiber via the SCPINN

The strongly-constrained physics-informed neural network (SCPINN) is proposed by adding the information of compound derivative embedded into the soft-constraint of physics-informed neural network(PINN). It is used to predict nonlinear dynamics and the formation process of bright and dark picosecond optical solitons, and femtosecond soliton molecule in the single-mode fiber, and reveal the variation of physical quantities including the energy, amplitude, spectrum and phase of pulses during the soliton transmission. The adaptive weight is introduced to accelerate the convergence of loss function in this new neural network. Compared with the PINN, the accuracy of SCPINN in predicting soliton dynamics is improved by 5-11 times. Therefore, the SCPINN is a forward-looking method to study the modeling and analysis of soliton dynamics in the fiber

Prediction of alternatively skipped exons and splicing enhancers from exon junction arrays

<p>Abstract</p> <p>Background</p> <p>Alternative splicing of exons in a pre-mRNA transcript is an important mechanism which contributes to protein diversity in human. Arrays for detecting alternative splicing are available using several different probe designs, including those based on exon-junctions. In this work, we introduce a new method for predicting alternatively skipped exons from exon-junction arrays. Predictions based on our method are compared against controls and their sequences are analyzed to identify motifs important for regulating alternative splicing.</p> <p>Results</p> <p>Our comparison of several alternative methods shows that an exon-skipping score based on neighboring junctions best discriminates between positive and negative controls. Sequence analysis of our predicted exons confirms the presence of known splicing regulatory sequences. In addition, we also derive a set of development-related alternatively spliced genes based on fetal versus adult tissue comparisons and find that our predictions are consistent with their functional annotations. <it>Ab initio </it>motif finding algorithms are applied to identify several motifs that may be relevant for splicing during development.</p> <p>Conclusion</p> <p>This work describes a new method for analyzing exon-junction arrays, identifies sequence motifs that are specific for alternative and constitutive splicing and suggests a role for several known splicing factors and their motifs in developmental regulation.</p

Development Of Community Psychiatric Crisis Management Indicators And Assessment Framework In Taiwan: A Focus Group Study

This study was to develop the Community Psychiatric Crisis Management (CPCM) Model for community-dwelling psychiatric patients of Taiwan. Purposes of this study were: 1. To develop psychiatric patients’ community crisis management indictors; 2. To develop the psychiatric patients’ community crisis management framework. Methods: Three focus group interviews involving a total of 42 experts, included psychiatrists, psychiatric nurses, social worker, and community mental health service providers were implemented. Interview data were analyzed with qualitative content analysis. Results: The model of CPCM concretized the objectives, crisis assessment indicators, and crisis intervention services for community psychiatric patients, and proved to be an important part of CPCM. The level of crisis severity and impact of patient can be assessed by the four indicators: medical care seeking behaviors, psychiatric symptom severity and impact, history of violence and substance abuse, and protective factors of family and social support system. In addition, the severity and impact of CPCM score could be implement to provide home visiting care and crisis management interventions. The recommended CPCM model enabled community mental health care professionals’ assessment and management the patient’s crisis problems in three stages, from crisis, acute and maintenance stage. Conclusions: The CPCM model was improved practically, and the contents of the intervention were constructed. It is important to integrate crisis management with the preventive intervention to the community psychiatric patient care