Miracle-dz/UniFAR-FTUs huggingface dataset:
A uniformly convergent hybrid difference scheme for a system of singularly perturbed initial value problems

ABSTRACT A system of second-order singularly perturbed initial value problems with weak hypotheses on the coefficients is considered. The equations have diffusion parameters of different magnitudes, which gives rise to overlapping boundary layers. The structure of these layers is analysed, and this leads to the construction of a Shishkin-type mesh. On this mesh a hybrid difference scheme is proposed, which is a combination of the second-order difference schemes on the fine mesh and the midpoint upwind scheme on the coarse mesh. By applying the truncation error estimate techniques and a difference analogue of Gronwall's inequality, it is proved that the scheme is almost second-order convergent, in the discrete maximum norm, independently of singular perturbation parameters. Numerical experiments are provided to validate the theoretical results.
MARKER BASED ASSESSMENT OF GENETIC DIVERSITY IN NUTMEG (Myristica fragrans Houtt.) USING ISSR PRIMERS

Inter Simple Sequence Repeats (ISSR) constitute a reliable molecular marker system for genetic diversity analysis among species. The present study was conducted to evaluate genetic diversity / relatedness among superior accessions of Myristica fragrans (Nutmeg) maintained at the germplasm of Regional Agricultural Research Station, Kumarakom, Kerala, India using ISSR markers. Genomic DNA was extracted from 19 superior genotypes of nutmeg. Among the 34 ISSR primers used, only 16 primers developed reproducible banding pattern. The selected primers generated 145 amplified bands, of which 97 were found to be polymorphic. The amplicon size varied between 300 to 1500 bp. The polymorphism percentage for the tested primers ranged between 33% (UBC 860) to 100% (UBC 852a) with an average value of 65.73%. Among the different primers studied the primer UBC 815 showed the highest PIC value (0.48) and the primer UBC860 provided the lowest value (0.10). The mean value for marker index (MI) observed in this study was 1.62. The Jaccard’s similarity coefficient for the genotypes studied varied from 0.565 to 0.939. The dendrogram derived from UPGMA analysis separated the nineteen nutmeg accessions into two major clusters. The information obtained from this study could be used for further breeding programmes in nutmeg. * Corresponding author KEYWORDS
International Journal of Nanomedicine Dovepress Greater Osteoblast and Endothelial Cell Adhesion on Nanostructured Polyethylene and Titanium

Mostly due to desirable mechanical properties (such as high durability and low wear), certain synthetic polymers (such as polyethylene) and metals (such as titanium) have found numerous applications in the medical device arena from orthopedics to the vasculature, yet frequently, they do not proactively encourage desirable cell responses. In an effort to improve the efficacy of such traditional materials for various implant applications, this study used electron beam evaporation to create nanostructured surface features that mimic those of natural tissue on polyethylene and titanium. For other materials, it has been shown that the creation of nanorough surfaces increases surface energy leading to greater select protein (such as vitronectin and fibronectin) interactions to increase specific cell adhesion. Here, osteoblast (bone forming cells) and endothelial cell (cells that line the vasculature) adhesion was determined on nanostructured compared to conventional, nano-smooth polyethylene and titanium. Results demonstrated that nanorough surfaces created by electron beam evaporation increased the adhesion of both cells markedly better than conventional smooth surfaces. In summary, this study provided evidence that electron beam evaporation can modify implant surfaces (specifically, polyethylene and titanium) to have nanostructured surface features to improve osteoblast and endothelial cell adhesion. Since the adhesion of anchorage dependent cells (such as osteoblasts and endothelial cells) is a prerequisite for their long-term functions, this study suggests that electron beam evaporation should be further studied for improving materials for various biomedical applications.
Pathologic Fracture as Primary Presentation of Malignant Pheochromocytoma: A Case Report

Pheochromocytoma is a relatively rare tumor with no age preference. This tumor is usually diagnosed accidentally. Pathologic fracture as the primary presentation of malignant pheochromocytoma is an uncommon presentation. The present case is a 23 year old man with malignant pheochromocytoma that his first chief complaint was bone pain due to pathological fracture. The presence of bone lesions as the first manifestation of pheochromocytoma makes this case a quite unusual one. © 2018 Tehran University of Medical Sciences. All rights reserved. Acta Med Iran 2018;56(12):803-806.
Fuzzy cognitive maps for dynamic grid service negotiation

The grid is moving from the scientific grid to a pervasive and economic/business grid. Service trading, in which service provider and service consumer negotiate for a mutually acceptable agreement on multi-issues such as service performance, access cost etc., is one of the most important components in building the Economic Grid. In view of Pervasive Grid, a new challenging issue is that participants on pervasive devices usually have limited computational capacity. And it is also desirable that a multi-issue negotiation agreement can be reached as quickly as possible since the wireless communication to exchange the offers is generally unreliable and power-consuming. Hence, an agile, automated, but lightweight multi-issue decision-making model is needed to facilitate service negotiation in Pervasive Grid. More over, existing methods for multi-issue negotiation only regard each issue as a separate issue, though in most of cases, there exist causal relationships between these negotiation issues. In this paper, a decision-making model based on Fuzzy Cognitive Map (FCM) theory is proposed for multi-issue negotiation which takes into account the causal relationships between the negotiation issues. In the proposed model, the causal relationships between the negotiation issues are well represented by FCMs. The service trading is modeled as a dynamic system with interdependent relationships among negotiation issues. The example and experimental results show that the proposed model is lightweight and promising to be employed in Pervasive Grid for multi-issue service negotiations.
Static Model of Flexible Pneumatic Bending Joint

Flexible pneumatic bending joint is a new type of joint based on FPA, which can be adopted in multi-fingered dexterous hand design. The changing of average radius and shell thickness of bending joint during movement are analyzed, which implies that the average radius is almost invariable while the shell thickness changes obviously. The static model of bending joint is established based on principle of moment equilibrium, and was validated by experiment. Experimental result indicates that the theoretical model can basically describe the static properties of bending joint. Finally, the reasons of error between theoretical curve and experimental data are discussed
ACTIVATIONAL EFFECTS OF ESTROGEN ON COGNITIVE PERFORMANCE IN WOMEN DURING DIFFERENT PHASES OF MENSES

iii DEDICATION This thesis is dedicated to: My family A special thank you to my father, Roy, for instilling in me the compassion and drive that I have to accomplish my goals. To never give up, even when things get rough because perseverance is essential in life. He taught me that there are multiple ways in solving one problem; tenacity is within the mind. Furthermore, a special thank you to my mother, Rita, for providing the support and strength for me to continue in my course of academia. During times of defeat, my mother gave me her strength in order to find my own, without her willingness to sacrifice herself, I would have been crushed long ago. Additionally, my brother, Sean, who has provided me with the insight and realization that regardless of whatever barriers or struggles we may face, we have the power to get up and try again. His courage to endure a new day, regardless of what battles the previous day held, is an admirable trait that one can only wish to maturate into. Lastly, a special thank you to my sister, Marcelle, whose relentless ambition has inspired me to push through. She has proven that determination overcomes almost any challenge or stigmatizing label that tries to hinder success. My journey thus far and the long path ahead of me were and will be possible because of all of you. Wherever I go I will forever be grateful. iv ACKOWLEDGMENT I would to thank my committee members who supported my efforts in writing this thesis. I would like to express my sincere gratitude to my thesis advisor Dr. Jill Razani for the continuous patience and unlimited knowledge for my master's project. She provided gratification, not only for my thesis, but for myself as well. Her inspiration and expert guidance has fostered the development and execution of this research. Besides my advisor, I would like to thank the rest of my committee. Dr. Luciana Laganà for her vigorous enthusiasm and support for my topic. Her endless reinforcement in the success of this proposal has made it the best it could be. Next, I would like to thank Dr. Gary Katz for his heartfelt encouragement and unconditional direction. His advice and navigation throughout this process has contributed to the finest of this project. The extended thanks go to the university itself for providing the subject pool, which aided the …
Drink Your Own Champagne: Analysis of the Transformation of a Technology Provider with Real Time Collaboration from a Strategic and Organizational Point of View

We are reporting on a case of a Real Time Communication (RTC) service provider who implemented a set of RTC tools to reach the twofold goal of supporting organizational restructuring after an economic crisis and simultaneously improving its competitive position in a marketplace driven by increasing commoditization. In contrast to other technology implementations where management follows an application view, we present a case where management introduces RTC as an infrastructure, i.e. it looks at a complex ensemble of technology artifacts which are used by heterogeneous users in a multitude of ways, many of whom are unforeseen. The paper uses a framework of managerial tasks and responsibilities to explain the balancing act between managerial dictum on the one side and providing space for experimentation and organizational learning on the other side. The organizational design shows a high level of management sensitivity to the complementarity principles of organizational and technical choices. The case further provides rich insights into the processes of rule setting and organizational embedding of RTC. We found that the specific hardware and software constellation do matter and the establishment of the user experience team creates and fosters a new level of innovative discourse within the organization.
Multi‐scale Assemblage for Procedural Texturing

A procedural pattern generation process, called multi‐scale “assemblage” is introduced. An assemblage is defined as a multi‐scale composition of “multi‐variate” statistical figures, that can be kernel functions for defining noise‐like texture basis functions, or that can be patterns for defining structured procedural textures. This paper presents two main contributions: 1) a new procedural random point distribution function, that, unlike point jittering, allow us to take into account some spatial dependencies among figures and 2) a “multi‐variate” approach that, instead of defining finite sets of constant figures, allows us to generate nearly infinite variations of figures on‐the‐fly. For both, we use a “statistical shape model”, which is a representation of shape variations. Thanks to a direct GPU implementation, assemblage textures can be used to generate new classes of procedural textures for real‐time rendering by preserving all characteristics of usual procedural textures, namely: infinity, definition independency (provided the figures are also definition independent) and extreme compactness.
Models for structuring a clinical initiative to enhance palliative care in the intensive care unit: A report from the IPAL-ICU Project (Improving Palliative Care in the ICU)*

Objective:To describe models used in successful clinical initiatives to improve the quality of palliative care in critical care settings. Data Sources:We searched the MEDLINE database from inception to April 2010 for all English language articles using the terms “intensive care,” “critical care,” or “ICU” and “palliative care”; we also hand-searched reference lists and author files. Based on review and synthesis of these data and the experiences of our interdisciplinary expert Advisory Board, we prepared this consensus report. Data Extraction and Synthesis:We critically reviewed the existing data with a focus on models that have been used to structure clinical initiatives to enhance palliative care for critically ill patients in intensive care units and their families. Conclusions:There are two main models for intensive care unit-palliative care integration: 1) the “consultative model,” which focuses on increasing the involvement and effectiveness of palliative care consultants in the care of intensive care unit patients and their families, particularly those patients identified as at highest risk for poor outcomes; and 2) the “integrative model,” which seeks to embed palliative care principles and interventions into daily practice by the intensive care unit team for all patients and families facing critical illness. These models are not mutually exclusive but rather represent the ends of a spectrum of approaches. Choosing an overall approach from among these models should be one of the earliest steps in planning an intensive care unit-palliative care initiative. This process entails a careful and realistic assessment of available resources, attitudes of key stakeholders, structural aspects of intensive care unit care, and patterns of local practice in the intensive care unit and hospital. A well-structured intensive care unit-palliative care initiative can provide important benefits for patients, families, and providers.
Feasibility of the Positive Thoughts and Actions Prevention Program for Middle Schoolers at Risk for Depression

Despite the importance of adolescent depression, few school-based prevention programs have been developed and tested in the United States with middle school populations. This study examined the acceptability and changes in targeted outcomes for a new preventative program, Positive Thoughts and Actions (PTA). Sixty-seven 7th grade students with elevated depressive symptoms were recruited from public schools and randomized to the 12-week PTA program with a parent-component or to a school-as-usual control group. The PTA prevention program was well received by students and parents, yielding high rates of participation and satisfaction among those randomized to receive the intervention. However, analyses of the efficacy of the program in changing depressive symptoms were not significant. In terms of our proximal program targets, most differences were not statistically significant, though effect sizes suggested advantage of PTA over control group in coping, cognitive style, and parent-child communication. This preliminary research highlights a need for further testing of programs for school-based prevention of depression and promotion of positive emotional health.
Gradient-flow equations for general Quantum Field Theories

Given our understanding of renormalizable quantum field theories, in which coupling constants vary under Renormalization Group (RG) flow, it is natural to ask whether there exist any underlying principles governing such changes. The atheorem [1] is conjectured to be one such principle: the existence of a function of the couplings in a theory, satisfying a gradient-flow equation with positive-definite metric on the space of couplings, places constraints on RG flow. Furthermore, at RG fixed points, this “a-function” reduces to the coefficient of the Euler density in the trace anomaly of the corresponding conformal field theory, suggesting a way of counting the degrees of freedom in a quantum theory. In [8], the strongest version of the a-theorem was shown to hold perturbatively, the associated a-function was constructed for general scalar-fermion theories, and the resulting constraints on RG functions were derived. Progress has also been made on formulating an analogous function in six dimensions, and equivalent statements are expected to hold for any even number of spacetime dimensions [36]. In this thesis, our principal aim is to investigate the consequences of such gradient-flow equations, and their associated a-function, in various spacetime dimensions. We extend the results of [9] to general gauge theories, and deduce the implications of a conjectured all-orders expression for the a-function, valid for supersymmetric gauge theories. We then turn to six dimensions and find, as in four dimensions, that a modification in the formulation of the a-function is required due to the presence of a global symmetry. We also reveal some puzzling implications regarding the presence of one-particle-reducible contributions to RG functions, and comment on a proposed solution. Finally, we turn to three dimensions, where there is no trace anomaly, and hence no natural candidate quantity to which the a-function may be related. Nevertheless, we show that one may still construct a function, satisfying the same gradient-flow equation, for both nonsupersymmetric and supersymmetric theories; we then show how this function gives new relations between the underlying Feynman integrals.
Super-Razor and Searches for Sleptons and Charginos at the LHC

Direct searches for electroweak pair production of new particles at the LHC are a difficult proposition, due to the large background and low signal cross sections. We demonstrate how these searches can be improved by a combination of new razor variables and shape analysis of signal and background kinematics. We assume that the pair-produced particles decay to charged leptons and missing energy, either directly or through a W boson. In both cases the final state is a pair of opposite sign leptons plus missing transverse energy. We estimate exclusion reach in terms of sleptons and charginos as realized in minimal supersymmetry. We compare this super-razor approach in detail to analyses based on other kinematic variables, showing how the super-razor uses more of the relevant kinematic information while achieving higher selection efficiency on signals, including cases with compressed spectra.
Resource Allocation Based on Linear Waterfilling Algorithm in CR Systems

Cognitive Radio (CR) is a promising concept for improving the utilization of scarce radio spectrum resource. OFDM is regarded as a potential technology for CR systems and resource allocation is a vital task in such systems. In this paper, a subcarrier and power allocation algorithm based on the linear waterfilling(LWF) scheme is proposed to maximize the downlink capacity of the CR systems while keeping both the total power budget and interference introduced to the primary user blow the pre-constraints. In the proposed algorithm, subcarrier allocation is first performed by assuming an equal power distribution. Secondly, the linear water-filling scheme under the interference constraint is proposed through searching for a rapid means for confirming the subcarriers which need not allocate power, then an iterative suboptimal power allocation algorithm based on LWF which have less complexity than the optimal algorithm is proposed. The proposed algorithm is shown to achieve a good performance which is close to the optimal algorithm.
Beyond Method: The Rise of Reflective Teaching

Some recent changes in ELT and teacher education has led to the shift of attention and orientation from positivistic views of language teaching towards a process-oriented constructivist views in which learning is viewed as an active process where learners reflect upon their current and past knowledge and experiences to generate new ideas and concepts. One major ramification of this dramatic shift was the demise of method and the emergence of post method condition. In this paper it is proposed that in the quest for something in lieu of method, reflective teaching has been considered as a solution to the problems teachers face in the ‘beyond method’ era. Then, it is revealed that reflective teaching has its own drawbacks and deficiencies. And finally, the origin and the components of teacher reflection have been briefly touched upon.
Array-data flow analysis and its use in array privatization

Data-flow analysis of scalar variables and data dependence analysis on array elements are two important program analyses used in optimizing and parallelizing compilers. Traditional data-flow analysis models accesses of array elements simply as accesses to the entire array, and is inadequate for parallelizing loops in array-based programs. On the other hand, data dependence analysis differentiates between different array elements but is flow-insensitive. This paper studies the combination of these two analyses—data-flow analyses—data-flow analysis of accesses to individual array elements. The problem of finding precise array dataflow information in the domain of loop nests where the loop bounds and array indices are affine functions of loop indices was first formulated by Feautrier. Feautrier's algorithm, based on parametric integer programming techniques, is general but inefficient. This paper presents an efficient algorithm that can find the same precise information for many of the programs found in practice. In this paper, we argue that data-flow analysis of individual array elements is necessary for effective automatic parallelization. In particular, we demonstrate the use of array data-flow analysis in an important optimization known as array privatization. By demonstrating that array data-flow analysis can be computed efficiently and by showing the importance of the optimizations enabled by the analysis, this paper suggests that array data-flow analysis may become just as important in future optimizing and parallelizing compilers as data-flow and data dependence analysis are in today's compilers.
Automatic Model Selection for Anomaly Detection

In this paper, we show that for a given pair of metrics, such as IGTE vs. IGFE, number of packets vs. number of network flows, etc., the functional relation between them may be complex and can not be described perfectly by linear equation. In order to capture this complex relationship, we make use of evidence function framework to automatically determine the optimal model for the metrics. Then we measure the deviation of the observed data from the established model to detect network anomalies.
A 6–17 GHz linear wide tuning range and low power ring oscillator in 45nm CMOS process for electronic warfare

A two-stage CMOS Voltage Controlled Ring Oscillator (VCRO) with very low power consumption has been designed in 45 nm CMOS process which operates at 1-V supply voltage. The circuit is simulated in GPDK 45 nm technology in Cadence environment. The simulation result shows wide tuning range from 6 GHz to 17 GHz and the oscillator can be used for electronic warfare application. It has also very low power consumption of about 3 μW. The phase noise of this ring oscillator is found to be -78 dBc/Hz @ 10 MHz offset which can be improved by using more number of stages.
Compositions and Methods for Treatment of Mitochondrial Diseases

The compounds, compositions and methods of the invention are useful for the treatment of diseases associated with mitochondrial dysfunction. The method of the present invention comprises administering to a mammal a composition comprising a sufficient amount of pyrimidine nucleotide precursor to treat a symptom resulting from a defect in the mitochondrial respiratory chain. Pyrimidine, mitochondria, uridine, cytidine, respiratory chain