Miracle-dz/UniFAR-FTUs huggingface dataset:
Mathematical Analysis of Mobile Latitude Software on Location Tracking

Location accuracy problem is addressed in Location Based Tracking using mobiles. Location accuracy is a fundamental task because user needs accurate Location to track a child, a friend or culprit etc.The Mathematical Analysis is done in the paper on Location Tracking by mobile phone. A Person is tracked through Latitude Software of a Mobile. The distance of s person (Predicted distance) from different locations is determined through same software on a Mobile. Actual distances are also noted for same locations. By applying various mathematical Algorithms, the study calculates the error and accuracy level of the position of a person through Mobile. The study compares the results of different algorithms and calculates the correlation between distances that leads to conclusions and key issues for
Training two dimensional cellular automata for some morphological operations

Cellular Automata is significantly applying to image processing operations. This paper describes the application of cellular automata (CA) to various morphological operations such as thinning and thickening of binary images. The description about the use of training of cellular automata for thinning and thickening of binary images is illustrated by this paper. The selection of the best rule set from large search space has been performed on the basis of sequential floating forward search method. The misclassification error between the images obtained by the standard function and the one obtained by cellular automata rule is used as the objective function. The proposed method is also compared with some standard methods.
Early percutaneous mitral commissurotomy vs. conventional management in asymptomatic moderate mitral stenosis.

AIMS The optimal timing of percutaneous mitral commissurotomy (PMC) remains controversial in asymptomatic patients with moderate mitral stenosis (MS). We sought to compare the long-term outcomes of early preemptive PMC and a conventional treatment strategy. METHODS AND RESULTS From 1997 to 2007, we prospectively enrolled 244 consecutive asymptomatic patients (191 women, age 51 ± 11 years) with moderate rheumatic MS who were potential candidates for early PMC. The treatment groups were not randomly assigned and the choice of early PMC or conventional treatment for each patient was at the discretion of the attending physician. The primary endpoint was defined as the composite of cardiovascular mortality, cerebral infarction, systemic embolic events, and PMC-related complications. In the PMC group, there were no procedure-related deaths and mitral valve area was increased from 1.26 ± 0.11 to 2.07 ± 0.28 cm(2) immediately after PMC (P < 0.001). During a median follow-up of 8.3 years, there were 3 cardiovascular deaths and 5 cerebral infarctions in the PMC group (n= 106) compared with 16 cardiovascular deaths, 12 cerebral infarctions, and 7 systemic embolic events in the CONV group (n = 138). The estimated actuarial 11-year event-free survival rate was 89 ± 4% in the PMC group and 69 ± 5% in the CONV group (P < 0.001) but not significantly different in those without atrial fibrillation and previous embolism (86 ± 5% in the PMC group and 79 ± 6% in the CONV group at 11 years, P = 0.28). For the 62 propensity score-matched pairs, the risk of cardiovascular endpoint was significantly lower in the PMC than in the CONV group (hazard ratio: 0.327; 95% CI: 0.112-0.954; P = 0.041). CONCLUSION In asymptomatic patients with moderate MS and favourable valve morphology, the clinical benefits of early PMC may outweigh the risks associated with early intervention, but prospective randomized trials are required to confirm the efficacy of early PMC.
Dynamic Segmentation of the Cerebral Cortex in MR Data using Implicit Active Contours

We propose a dynamic coupled-surface level set approach for the segmentation of the cerebral cortex in MR images of the human brain. An iterative scheme for the estimations of local intensity distributions is applied to compensate for artefacts within the data. Results are given for 5 MR data sets acquired on a 3 Tesla Scanner. No pre-processing is required and a constant set of parameters is used for all data sets. We also present a comparison to segmentation results created by the standard neuroimaging software BrainVoyager and show advantages of our approach.
Knee Kinematics Estimation Using Multi-Body Optimisation Embedding a Knee Joint Stiffness Matrix: A Feasibility Study

The use of multi-body optimisation (MBO) to estimate joint kinematics from stereophotogrammetric data while compensating for soft tissue artefact is still open to debate. Presently used joint models embedded in MBO, such as mechanical linkages, constitute a considerable simplification of joint function, preventing a detailed understanding of it. The present study proposes a knee joint model where femur and tibia are represented as rigid bodies connected through an elastic element the behaviour of which is described by a single stiffness matrix. The deformation energy, computed from the stiffness matrix and joint angles and displacements, is minimised within the MBO. Implemented as a “soft” constraint using a penalty-based method, this elastic joint description challenges the strictness of “hard” constraints. In this study, estimates of knee kinematics obtained using MBO embedding four different knee joint models (i.e., no constraints, spherical joint, parallel mechanism, and elastic joint) were compared against reference kinematics measured using bi-planar fluoroscopy on two healthy subjects ascending stairs. Bland-Altman analysis and sensitivity analysis investigating the influence of variations in the stiffness matrix terms on the estimated kinematics substantiate the conclusions. The difference between the reference knee joint angles and displacements and the corresponding estimates obtained using MBO embedding the stiffness matrix showed an average bias and standard deviation for kinematics of 0.9±3.2° and 1.6±2.3 mm. These values were lower than when no joint constraints (1.1±3.8°, 2.4±4.1 mm) or a parallel mechanism (7.7±3.6°, 1.6±1.7 mm) were used and were comparable to the values obtained with a spherical joint (1.0±3.2°, 1.3±1.9 mm). The study demonstrated the feasibility of substituting an elastic joint for more classic joint constraints in MBO.
pGIAK1, a Heavy Metal Resistant Plasmid from an Obligate Alkaliphilic and Halotolerant Bacterium Isolated from the Antarctic Concordia Station Confined Environment

pGIAK1 is a 38-kb plasmid originating from the obligate alkaliphilic and halotolerant Bacillaceae strain JMAK1. The strain was originally isolated from the confined environments of the Antarctic Concordia station. Analysis of the pGIAK1 38,362-bp sequence revealed that, in addition to its replication region, this plasmid contains the genetic determinants for cadmium and arsenic resistances, putative methyltransferase, tyrosine recombinase, spore coat protein and potassium transport protein, as well as several hypothetical proteins. Cloning the pGIAK1 cad operon in Bacillus cereus H3081.97 and its ars operon in Bacillus subtilis 1A280 conferred to these hosts cadmium and arsenic resistances, respectively, therefore confirming their bona fide activities. The pGIAK1 replicon region was also shown to be functional in Bacillus thuringiensis, Bacillus subtilis and Staphylococcus aureus, but was only stably maintained in B. subtilis. Finally, using an Escherichia coli - B. thuringiensis shuttle BAC vector, pGIAK1 was shown to display conjugative properties since it was able to transfer the BAC plasmid among B. thuringiensis strains.
Psychological Well-Being & Obesity in Peri-Menopausal and Post-Menopausal Women

Background: Strange interplay of hormones (especially inadequacy or lack of estrogen) affects the psychological health of the women & tendency to gain weight but the reasons are not sure & obesity may lead to many mental disorders. Objective: The study was aimed to correlate the quality of life in the form of psychological well-being in perimenopausal and post-menopausal women with obesity. Materials and Methods: 30 peri 30 postmenopausal women were included in the study. For assessment of psychological well-being WHO-5 well-being index was used.
Adoptive transfer of immune subsets prior to MCAO does not exacerbate stroke outcome in splenectomized mice

The peripheral immune response contributes to neurologic impairment after stroke and the extent of initial damage is greater in males than females. We have previously shown that spleen cells directly contribute to ischemic damage in males, as splenectomy prior to experimental stroke eliminates the sex differences in infarct volume. This study aims to determine which specific subset of immune cells exert pathogenic effects when injected 24 hours before MCAO induction into splenectomized male and female WT mice. The results demonstrate that CD4/CD8/CD11b treated mice had no significant effect on infarct volumes vs. vehicle-treated control mice after MCAO. However, there were significant alterations to the resident peripheral immune composition. These results suggest that there are regulatory factors resulting from splenectomy or other possible influences that inhibit peripheral immune cell contribution to neuroinflammation and thus contributing to differential effects of the spleen on stroke outcome in males and female mice.
Chapter 1 IMPACT OF PHYSICAL TECHNOLOGY ON ARCHITECTURE

The fundamental problem in the design of microprocessors is that of mapping an abstract computer architecture onto the physical technology in which the microprocessor will be manufactured. Computer architectures are composed of logic and storage elements, which are abstractions. When realized in a particular technology, logic values, storage states, and the connections between elements map to logic circuits, state circuits, and signals on metal interconnections in the physical technology. Inevitably, there are limitations resulting from the properties of the physical technology that determine the range of realizable architectures. In addition, there are opportunities presented when a particular architectural component maps well into the physical technology. Given the architect's goals of finding a realizable and reasonably optimal architecture that meets customer requirements, it is critically important to understand the limitations and opportunities arising from the physical technology.
Mesenchymal Stromal/Stem Cell and Minocycline-Loaded Hydrogels Inhibit the Growth of Staphylococcus aureus that Evades Immunomodulation of Blood-Derived Leukocytes

Mesenchymal stromal/stem cells (MSCs) have demonstrated favorable wound healing properties in addition to their differentiation capacity. MSCs encapsulated in biomaterials such as gelatin and polyethylene glycol (PEG) composite hydrogels have displayed an immunophenotype change that leads to the release of cytokines and growth factors to accelerate wound healing. However, therapeutic potential of implanted MSC-loaded hydrogels may be limited by non-specific protein adsorption that facilitates adhesion of bacterial pathogens such as planktonic Staphylococcus aureus (SA) to the surface with subsequent biofilm formation resistant to immune cell recognition and antibiotic activity. In this study, we demonstrate that blood-derived primary leukocytes and bone marrow-derived MSCs cannot inhibit colony-forming abilities of planktonic or biofilm-associated SA. However, we show that hydrogels loaded with MSCs and minocycline significantly inhibit colony-forming abilities of planktonic SA while maintaining MSC viability and multipotency. Our results suggest that minocycline and MSC-loaded hydrogels may decrease the bioburden of SA at implant sites in wounds, and may improve the wound healing capabilities of MSC-loaded hydrogels.
Vezatin Is Essential for Dendritic Spine Morphogenesis and Functional Synaptic Maturation

Vezatin is an integral membrane protein associated with cell-cell adhesion complex and actin cytoskeleton. It is expressed in the developing and mature mammalian brain, but its neuronal function is unknown. Here, we show that Vezatin localizes in spines in mature mouse hippocampal neurons and codistributes with PSD95, a major scaffolding protein of the excitatory postsynaptic density. Forebrain-specific conditional ablation of Vezatin induced anxiety-like behavior and impaired cued fear-conditioning memory response. Vezatin knock-down in cultured hippocampal neurons and Vezatin conditional knock-out in mice led to a significantly increased proportion of stubby spines and a reduced proportion of mature dendritic spines. PSD95 remained tethered to presynaptic terminals in Vezatin-deficient hippocampal neurons, suggesting that the reduced expression of Vezatin does not compromise the maintenance of synaptic connections. Accordingly, neither the amplitude nor the frequency of miniature EPSCs was affected in Vezatin-deficient hippocampal neurons. However, the AMPA/NMDA ratio of evoked EPSCs was reduced, suggesting impaired functional maturation of excitatory synapses. These results suggest a role of Vezatin in dendritic spine morphogenesis and functional synaptic maturation.
Evaluation of second-order visual features for land-use classification

This paper investigates the use of recent visual features based on second-order statistics, as well as new processing techniques to improve the quality of features. More specifically, we present and evaluate Fisher Vectors (FV), Vectors of Locally Aggregated Descriptors (VLAD), and Vectors of Locally Aggregated Tensors (VLAT). These techniques are combined with several normalization techniques, such as power law normalization and orthogonalisation/whitening of descriptor spaces. Results on the UC Merced land use dataset shows the relevance of these new methods for land-use classification, as well as a significant improvement over Bag-of-Words.
Lipschitz Stability Of Solutions To Parametric Optimal Control Problems For Parabolic Equations

A class of parametric optimal control problems for semilinear parabolic equations is considered. Using recent regularity results for solutions of such equations, su(cid:14)cient conditions are derived under which the solutions to optimal control problems are locally Lipschitz continuous functions of the parameter in the L 1 -norm. Itis shown that these conditions are also necessary, provided that the dependence of data on the parameter is su(cid:14)ciently strong.
PetaSIM : A Performance Estimator for Parallel Hierarchical Memory Systems

In both the design of parallel computer systems and the development of applications, it is very important to have good performance prediction tools. This paper describes a new approach -PetaSIM, which is designed for the rapid prototyping stage of machine or application design. PetaSIM aims at good but not fully accurate results with a convenient applet interface for specification and interactive change of system parameters. Computers, networks and applications are described as objects in a Java IDL (Interface Definition Language) with special attention to the proper representation of caches and hierarchical memories. PetaSIM represents a prototype for a performance specification language or PSL. We present encouraging initial results for a set of data-intensive applications from the University of Maryland. We discuss the extension of PetaSIM to support applications of the type found in distributed collaborative engineering.
Pathways to educational aspirations: resilience as a mediator of proximal resources and risks

ABSTRACT Educational aspirations play an important role in educational achievement, understanding more about the factors that shape aspirations should enable educators and others who support young people to better articulate educational ambitions and then to work towards their achievement. Given this, the current paper uses a form of integrative data analysis to examine two issues. First, it identifies that a social ecological measure of resilience mediates the impact which proximal risks and resources have upon young people’s educational aspirations. Second, it establishes that the linkages between these proximal risks and resources, resilience and educational aspirations are similar for young people facing high levels of adversity and young people on more or less normative developmental pathways. The paper draws on a data collected in the first wave of the Youth Transitions Study; a longitudinal mixed-methods investigation of the factors that influence transitions to adulthood for a group of vulnerable teenagers.
A Robust Numerical Method for Optimal H∞ Control

We present a new numerical method for the solution of the optimal H∞ control problem. The method is based on the γ-iteration as well as the state-space solution to the (sub)optimal H∞ control problem, but re-formulates all steps in order to achieve better robustness in the presence of rounding errors than any implementation of the textbook formulae. It remains robust in the presence of rounding errors even as γ approaches its optimal value. B ∈ R N,p2 , ˆ C ∈ R m2,N , ˆ D ∈ R m2,p2 and
Research on single-mode and multi-mode of microwave dielectric resonator

The design of a series of microwave dielectric resonator with different ratio of diameter to length is proposed in this paper. Based on the principle of short-parallel plates method, an automatic test system with the vector network analyzer and short-parallel plate test fixture for dielectric ceramics resonator is developed. The relationship between the single or multiple work mode of ceramics resonator with different ratio of diameter to length is clarified, and the impact of multimode on the measurement parameters is analyzed. Furthermore, a set of software for the design of ceramic dielectric resonator with different size is developed, which eliminates the influence of multi-mode phenomenon introduced by the unreasonable size of the sample.
Local and Global Features Extracting and Fusion for Microbial Recognition

It is presented that extraction of global and local feature based on digital microbial image analysis and fusion local and global features for microbe recognition. The global features are extracted by invariant moments and co-occurrence matrix, in which invariant moments computation is simplified by computing geometric moment and central moment based on the edge of microbe instead of the field of it. Curvature changing detection for microbe is characterized as local features by wavelet transform. Min-max was applied for normalization and after the fusion of normalized global match degree and normalized local match degree, the recognition result is the class that included the template image corresponding to the largest fused match degree. The experimental results show that fusing local and global features is effective for microbe image analysis and recognition.
From functioning communality to hostile behaviour: students’ and teachers’ experiences of the teacher–student relationship in the academic community

Abstract Teacher support is an important factor affecting academic and social integration into the university. However, studies have been very scarce concerning both students’ and teachers’ experiences of their relationship in higher education. The purpose of this study is to examine students’ and teachers’ experiences of communality and interaction as well as the support given by teachers in the academic community. A total of 68 teachers and 104 students participated in this study by answering both Likert-scale and an open-ended question. The results show wide variation in both students’ and teachers’ experiences. The experiences varied from descriptions of a good and functional communality to a gap between teachers and students or even hostile behaviour towards students. Five main categories emerged from the data: (1) functioning interaction and communality, (2) good quality contacts between students and teachers, (3) variable experiences of interaction and communality, (4) low quality interaction and communality, and (5) dysfunctional contacts between students and teachers. The results indicate that teachers experience the support given to students more positively than the students. In addition, the results concerning the open-ended question also indicated that teachers experience the communality and interaction between teachers and students more positively than the students. More attention should be given to the teacher–student relationship at the higher education level. In addition, general skills such as ability to interact with others and social behaviour should be emphasised to a greater degree when recruiting staff.
IMPROVED RESOURCE UTILIZATION WITH BUFFERED COSCHEDULING

We present buffered coscheduling, a new methodology to multitask parallel jobs in a message-passing environment and to develop parallel programs that can pave the way to the efficient implementation of a distributed operating system. Buffered coscheduling is based on three innovative techniques: communication buffering, strobing, and non-blocking communication. By leveraging these techniques, we can perform effective optimizations based on the global status of the parallel machine rather than on the limited knowledge available locally to each processor The advantages of buffered coscheduling include higher resource utilization, reduced communication overhead, efficient implementation of flow-control strategies and fault-tolerant protocols, accurate performance modeling, and a simplified yet ;. till expressive parallel programming model which offloads many resource-management tasks to the operating system. Preliminary experimental results show that buffered coscheduling is very effective in increasing the overall performance in the presence of load imbalance and communication-intensive workloads and is relatively insensitive to the local process scheduling strategy.
Performance of Turbo coded OFDM wireless link for SISO, SIMO, MISO and MIMO system

This paper compares the performance of a Turbo coded OFDM wireless link for SISO, SIMO, MISO and MIMO system with uncoded OFDM wireless link for SISO, SIMO, MISO and MIMO system in the in the presence of rayleigh fading. Turbo encoder encodes the input information bits and sends to QPSK or 16 QAM or 64 QAM modulator. Modulated symbols are mapped by STBC. Outputs of STBC are split into n streams which are further modulated by OFDM and simultaneously transmitted using n transmit antennas. It is observed that the turbo coded SISO-OFDM system provides 21 dB coding gain at 10 -4 , turbo coded SIMO-OFDM system provides 20 and 13 db coding gain for 2 and 4 receive antennas respectively at a BER of 10 -6 , turbo coded MISO-OFDM system provides 17 and 12 dB coding gain for 2 and 4 transmit antennas respectively at a BER of 10 -6 and turbo coded MIMO-OFDM system provides 11 to 13 dB coding gain for different combination of transmit and receive antennas at BER 10 -6 compare to uncoded SISO-OFDM, SIMO-OFDM, MISO-OFDM and MIMO-OFDM system.
Accelerating SAT Solving by Common Subclause Elimination

Boolean SATisfiability (SAT) is an important problem in AI. SAT solvers have been effectively used in important industrial applications including automated planning and verification. In this paper, we present novel algorithms for fast SAT solving by employing two common subclause elimination (CSE) approaches. Our motivation is that modern SAT solving techniques can be more efficient on CSE-processed instances. Empirical study shows that CSE can significantly speed up SAT solving.