3,552 research outputs found
Data Model Customization for Yii Based Erp Application
As UD. Logam Utama's business grow, trigger the need of fast and accurate information in order to improve performance, efficiency, control and company's values. The company needs a system that can integrate each functional area. ERP has centralized database and able to be configured, according to company's business processes.First phase of application development is analysis and design the company's business processes. The design phase produce a number of models that will be used to created application.The final result of application development is an ERP application that can be configured with the company's business process. The ERP application consist of warehouse or production module, purchasing module, sales module, and accounting module
Collective T- and P- Odd Electromagnetic Moments in Nuclei with Octupole Deformations
Parity and time invariance violating forces produce collective P- and T- odd
moments in nuclei with static octupole deformation. Collective Schiff moment,
electric octupole and dipole and also magnetic quadrupole appear due to the
mixing of rotational levels of opposite parity and can exceed single-particle
moments by more than a factor of 100. This enhancement is due to two factors,
the collective nature of the intrinsic moments and the small energy separation
between members of parity doublets. The above moments induce T- and P- odd
effects in atoms and molecules. Experiments with such systems may improve
substantially the limits on time reversal violation.Comment: 9 pages, Revte
A construction of bent functions from plateaued functions
In this presentation, a technique for constructing bent functions from plateaued functions is introduced and analysed. This generalizes earlier techniques for constructing bent from near-bent functions. Using this construction, we obtain a big variety of inequivalent bent functions, some weakly regular and some non-weakly regular. Classes of bent function with some additional properties that enable the construction of strongly regular graphs are constructed, and explicit expressions for bent functions with maximal degree are presented
Cross-fostering does not alter the neurochemistry or behavior of spontaneously hypertensive rats
BACKGROUND:Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable developmental disorder resulting from complex gene-gene and gene-environment interactions. The most widely used animal model, the spontaneously hypertensive rat (SHR), displays the major symptoms of ADHD (deficits in attention, impulsivity and hyperactivity) and has a disturbance in the noradrenergic system when compared to control Wistar-Kyoto rats (WKY). The aim of the present study was to determine whether the ADHD-like characteristics of SHR were purely genetically determined or dependent on the gene-environment interaction provided by the SHR dam. METHODS: SHR/NCrl (Charles River, USA), WKY/NCrl (Charles River, USA) and Sprague Dawley rats (SD/Hsd, Harlan, UK) were bred at the University of Cape Town. Rat pups were cross-fostered on postnatal day 2 (PND 2). Control rats remained with their birth mothers to serve as a reference for their particular strain phenotype. Behavior in the open-field and the elevated-plus maze was assessed between PND 29 and 33. Two days later, rats were decapitated and glutamate-stimulated release of [3H]norepinephrine was determined in prefrontal cortex and hippocampal slices. RESULTS: There was no significant effect of "strain of dam" but there was a significant effect of "pup strain" on all parameters investigated. SHR pups travelled a greater distance in the open field, spent a longer period of time in the inner zone and entered the inner zone of the open-field more frequently than SD or WKY. SD were more active than WKY in the open-field. WKY took longer to enter the inner zone than SHR or SD. In the elevated-plus maze, SHR spent less time in the closed arms, more time in the open arms and entered the open arms more frequently than SD or WKY. There was no difference between WKY and SD behavior in the elevated-plus maze. SHR released significantly more [3H]norepinephrine in response to glutamate than SD or WKY in both hippocampus and prefrontal cortex while SD prefrontal cortex released more [3H]norepinephrine than WKY. SHR were resilient, cross-fostering did not reduce their ADHD-like behavior or change their neurochemistry. Cross-fostering of SD pups onto SHR or WKY dams increased their exploratory behavior without altering their anxiety-like behavior. CONCLUSION: The ADHD-like behavior of SHR and their neurochemistry is genetically determined and not dependent on nurturing by SHR dams. The similarity between WKY and SD supports the continued use of WKY as a control for SHR and suggests that SD may be a useful additional reference strain for SHR. The fact that SD behaved similarly to WKY in the elevated-plus maze argues against the use of WKY as a model for anxiety-like disorders
The Use of PBL in an Interprofessional Education Course for Health Care Professional Students
A problem-based learning (PBL) framework was utilized in a series of six interprofessional team seminars (IPTS) for postbaccalaureate students from seven health professions. The goal of IPTS was to develop a collaborative practice-ready workforce prepared to respond to patient care needs through use of concrete examples, skills development, critical thinking, and problem solving in safe, faculty-facilitated small groups. The collaborative nature of PBL closely correlates with teaching methodologies of the IPTS series. This study analyzed critical reflection assignments of nursing students in accelerated programs to determine the effectiveness of IPTS at preparing students for interprofessional collaborative practice. Findings indicated that PBL is an effective method for teaching interprofessional collaboration skills to nursing students
Cosmological constraints from HSC Y1 lensing convergence PDF
We utilize the probability distribution function (PDF) of normalized
convergence maps reconstructed from the Subaru Hyper Suprime-Cam (HSC) Y1 shear
catalogue, in combination with the power spectrum, to measure the matter
clustering amplitude . The large-scale
structure's statistical properties are incompletely described by the
traditional two-point statistics, motivating our investigation of the PDF -- a
complementary higher-order statistic. By defining the PDF over the standard
deviation-normalized convergence map we are able to isolate the non-Gaussian
information. We use tailored simulations to compress the data vector and
construct a likelihood approximation. We mitigate the impact of survey and
astrophysical systematics with cuts on smoothing scales, redshift bins, and
data vectors. We find from the PDF alone and
from the combination of PDF and power spectrum
(68% CL). The PDF improves the power spectrum-only constraint by about 10%.Comment: 6+4 pages, 4+4 figures; PRD accepted versio
Emergent Chiral Symmetry: Parity and Time Reversal Doubles
There are numerous examples of approximately degenerate states of opposite
parity in molecular physics. Theory indicates that these doubles can occur in
molecules that are reflection-asymmetric. Such parity doubles occur in nuclear
physics as well, among nuclei with odd A 219-229. We have also suggested
elsewhere that such doubles occur in particle physics for baryons made up of
`cbu' and `cbd' quarks. In this article, we discuss the theoretical foundations
of these doubles in detail, demonstrating their emergence as a surprisingly
subtle consequence of the Born-Oppenheimer approximation, and emphasizing their
bundle-theoretic and topological underpinnings. Starting with certain ``low
energy'' effective theories in which classical symmetries like parity and time
reversal are anomalously broken on quantization, we show how these symmetries
can be restored by judicious inclusion of ``high-energy'' degrees of freedom.
This mechanism of restoring the symmetry naturally leads to the aforementioned
doublet structure. A novel by-product of this mechanism is the emergence of an
approximate symmetry (corresponding to the approximate degeneracy of the
doubles) at low energies which is not evident in the full Hamiltonian. We also
discuss the implications of this mechanism for Skyrmion physics, monopoles,
anomalies and quantum gravity.Comment: 32 pages, latex. minor changes in presentation and reference
PITX2 gain-of-function induced defects in mouse forelimb development
BACKGROUND: Limb development and patterning originate from a complex interplay between the skeletal elements, tendons, and muscles of the limb. One of the genes involved in patterning of limb muscles is the homeobox transcription factor Pitx2 but its role in forelimb development is uncharacterized. Pitx2 is expressed in the majority of premature presumptive forelimb musculature at embryonic day 12.5 and then maintained throughout embryogenesis to adult skeletal muscle. RESULTS: To further study the role of Pitx2 in forelimb development we have generated transgenic mice that exhibit a pulse of PITX2 over-expression at embryonic day 13.5 and 14.5 in the developing forelimb mesenchyme. These mice exhibit a distal misplacement of the biceps brachii insertion during embryogenesis, which twists the forelimb musculature resulting in severe skeletal malformations. The skeletal malformations have some similarities to the forearm deformities present in Leri-Weill dyschondrosteosis. CONCLUSION: Taken together, the tendon, muscle, and bone anomalies further support a role of Pitx2 in forelimb development and may also shed light on the interaction between the skeletal elements and muscles of the limb during embryogenesis
Addressing caveats of neural persistence with deep graph persistence
Neural Persistence is a prominent measure for quantifying neural network
complexity, proposed in the emerging field of topological data analysis in deep
learning. In this work, however, we find both theoretically and empirically
that the variance of network weights and spatial concentration of large weights
are the main factors that impact neural persistence. Whilst this captures
useful information for linear classifiers, we find that no relevant spatial
structure is present in later layers of deep neural networks, making neural
persistence roughly equivalent to the variance of weights. Additionally, the
proposed averaging procedure across layers for deep neural networks does not
consider interaction between layers. Based on our analysis, we propose an
extension of the filtration underlying neural persistence to the whole neural
network instead of single layers, which is equivalent to calculating neural
persistence on one particular matrix. This yields our deep graph persistence
measure, which implicitly incorporates persistent paths through the network and
alleviates variance-related issues through standardisation. Code is available
at https://github.com/ExplainableML/Deep-Graph-Persistence
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