Miracle-dz/UniFAR-FTUs huggingface dataset:
PERIODIC CONSERVATIVE SOLUTIONS FOR THE TWO-COMPONENT CAMASSA{HOLM SYSTEM

We construct a global continuous semigroup of weak periodic con- servative solutions to the two-component Camassa{Holm system, ut utxx + u x + 3uux 2uxuxx uuxxx + x = 0 and t + (u )x = 0, for initial data (u; )jt=0 in H 1 L 2. It is necessary to augment the system with an associated energy to identify the conservative solution. We study the stabil- ity of these periodic solutions by constructing a Lipschitz metric. Moreover, it is proved that if the density is bounded away from zero, the solution is smooth. Furthermore, it is shown that given a sequence n of initial values for the densities that tend to zero, then the associated solutions u n will approach the global conservative weak solution of the Camassa{Holm equation. Finally it is established how the characteristics govern the smoothness of the solution.
Measuring the Influence of the BKCa β1 Subunit on Ca2+ Binding to the BKCa Channel

The large-conductance Ca(2+)-activated potassium (BK(Ca)) channel of smooth muscle is unusually sensitive to Ca(2+) as compared with the BK(Ca) channels of brain and skeletal muscle. This is due to the tissue-specific expression of the BK(Ca) auxiliary subunit beta1, whose presence dramatically increases both the potency and efficacy of Ca(2+) in promoting channel opening. beta1 contains no Ca(2+) binding sites of its own, and thus the mechanism by which it increases the BK(Ca) channel's Ca(2+) sensitivity has been of some interest. Previously, we demonstrated that beta1 stabilizes voltage sensor activation, such that activation occurs at more negative voltages with beta1 present. This decreases the work that Ca(2+) must do to open the channel and thereby increases the channel's apparent Ca(2+) affinity without altering the real affinities of the channel's Ca(2+) binding sites. To explain the full effect of beta1 on the channel's Ca(2+) sensitivity, however, we also proposed that there must be effects of beta1 on Ca(2+) binding. Here, to test this hypothesis, we have used high-resolution Ca(2+) dose-response curves together with binding site-specific mutations to measure the effects of beta1 on Ca(2+) binding. We find that coexpression of beta1 alters Ca(2+) binding at both of the BK(Ca) channel's two types of high-affinity Ca(2+) binding sites, primarily increasing the affinity of the RCK1 sites when the channel is open and decreasing the affinity of the Ca(2+) bowl sites when the channel is closed. Both of these modifications increase the difference in affinity between open and closed, such that Ca(2+) binding at either site has a larger effect on channel opening when beta1 is present.
A fuzzy-QFD approach to balanced scorecard using an analytic network process

The balanced scorecard (BSC) is a strategic management method that links performance measurement to vision and strategies using a multidimensional set of financial and non-financial performance metrics. Although several studies have combined the BSC method with multi-criteria decision analysis methodologies, most of the research efforts do not consider the essentials of strategic and performance management in a systematic and holistic framework capable of handling imprecision and vagueness. The purpose of this study is to present a novel approach for structuring and prioritising the performance measures in the BSC method. The contribution of the proposed approach is fivefold: 1) we use the quality function deployment (QFD) technique to create a linkage between the BSC perspectives; 2) we use the analytic network process (ANP) technique to consider the interactions between the performance measures in each BSC perspective; 3) we integrate the QFD and the ANP techniques to help decision makers understand the relations between the performance measures in different perspectives and the correlations among the performance measures in the same perspective; 4) we handle the vagueness and ambiguity in decision makers' judgements with the fuzzy set theory; 5) we present a case study to demonstrate the applicability of the proposed approach and exhibit the efficacy of the procedures.
A Neuro-Genetic Approach to Real-Time Visual Grasp Synthesis

Grasping is an essential prerequisite for an agent, either human or robotic, to manipulate various kinds of objects present in the world. It is a fact that we would like robots to have the same skills as we do. However, despite the construction of human-hand-like robotic effectors, much work is still to be done in order to give robots the capability to grasp and manipulate objects. The goal of this work is to automatically perform grasp synthesis of unknown planar objects. In other words, we must compute points on the object's boundary to be reached by the robotic fingers such that the resulting grasp, among infinite possibilities, optimizes some given criteria. The space of possible configurations is analyzed using genetic algorithms. However, genetic algorithms are not suitable to applications where time is a critical issue. In order to achieve real-time characteristics of the algorithm, neural networks are used: a huge training-set is collected off-line using genetic algorithms, and a feedforward network is trained on these values. We will demonstrate the usefulness of this approach in the process of grasp synthesis, and show the results achieved on an anthropomorphic arm/hand robot.
Demo abstract: RF time-of-flight ranging on commodity software radios

Recent advances in RF ranging techniques have shown superior performance in difficult RF environments but either lack the practicality of a real-time implementation or lack flexibility through purpose-built hardware. We present SR2, a super-resolution ranging platform developed for the software radio environment. SR2 achieves low resource utilization and hardware complexity requirements through a coherent RF design, making SR2 realizable on commodity software radios.
Glucose induced genes in bovine aortic smooth muscle cells identified by mRNA differential display

Hyperglycemia is postulated to cause chronic changes in the vasculature of diabetic patients, suggesting structural or genetic alterations. We have characterized the glucose induced alterations of gene expression in cultured bovine aortic smooth muscle cells using the recently developed mRNA differential display method. After five days of incubation with either 5.5 or 22 mM glucose, RNA preparations were isolated from confluent cells and probed with 10 candidate clones identified after screening up to 3000 mRNA species. Among these, three clones (2A, 2C, 3) showed significant changes in expression by Northern blot analysis. Elevated glucose levels decreased the mRNA expression of clones 2A and 3 to 51 ± 7% (P < .01) and 59 ± 10% (P < .05)(mean% of control ± SEM), respectively. Expression of clone 2C was increased in 22 mM glucose condition to 221 ± 23% (P < .05). Nucleotide sequence analysis showed that clone 3 had 77% homology to the 3'‐noncoding region of human elongation factor 2, a member of the GTPase family which is essential for polypeptide synthesis. Clones 2A and 2C do show no homology to known nucleotide sequences. These results indicate that physiologically attainable high glucose conditions can significantly effect gene expression in aortic smooth muscle cells. Furthermore, mRNA differential display can be used in metabolic studies to identify new genes regulated by nutrients such as glucose. — Y. , Nishio, L. P. Aiello, G. L. King. Glucose induced genes in bovine aortic smooth muscle cells identified by mRNA differential display. FASEB J. 8: 103‐106; 1994.
Pharmacodynamics Must Inform Statistics: An Example from a Cocaine Dependence Pharmacotherapy Trial

Background. There is no FDA-approved medication for cocaine dependence or consensus on the statistical approach for analyzing data from cocaine dependence pharmacotherapy trials. The goal of this paper is to illustrate the importance of understanding medication's pharmacodynamics when specifying the statistical model to test its efficacy. Method. Data from a double-blind placebo controlled trial of reserpine for cocaine dependence are analyzed. Since the antihypertensive properties of reserpine are well established, blood pressure data are utilized to evaluate the ability of two statistical models, one that does not take the pharmacodynamics of reserpine into account and one that does, to detect reserpine's antihypertensive effect. Results. The statistical model specified without regard to reserpine's pharmacodynamics failed to find a significant medication effect for either systolic (P = 0.49) or diastolic (P = 0.59) blood pressure. Contrariwise, the model based on the pharmacodynamics of reserpine found a significant effect for both systolic (P = 0.002) and diastolic (P = 0.004) blood pressure. Conclusions. If the pharmacodynamics of a study medication are not considered when specifying statistical models, then erroneous conclusions may be reached. This trial is registered with NCT00033033.
Representations of non-negative polynomials having finitely many zeros

Soit K une partie compacte de R" definie par les inegalites polynomiales g 1 ≥ 0,. ,g s ≥ 0. Pour un polynome positif f sur K, des conditions suffisantes' naturelles sont degagees (en termes des derivees premieres et secondes en les zeros de f dans K) pour que f puisse se representer sous la forme f = t 0 +t 1 g 1 +···+t s g s , ou les t i sont des sommes de carres de polynomes. Les conditions sont bien plus generales que celles mises en evidence par Scheiderer dans [11, Cor. 2.6]. La demonstration utilise le theoreme principal de Scheiderer [11] ainsi que des arguments de la theorie des formes quadratiques et de celle de la valuation. L'article explique egalement comment le lemme fondamental de Kuhlmann, Marshall et Schwartz [3] peut etre mis a profit pour simplifier le theoreme principal de Scheiderer, et compare les deux approches.
Working memory in children: How does it affect learning? Different methods andtechniques that can be used to train and enhance the working memory of children

APA Citation Fawzy, C. T. (2016). Working memory in children: How does it affect learning? Different methods and techniques that can be used to train and enhance the working memory of children [Master’s thesis, the American University in Cairo]. AUC Knowledge Fountain. https://fount.aucegypt. edu/etds/1415 MLA Citation Fawzy, Christine T. Working memory in children: How does it affect learning? Different methods and techniques that can be used to train and enhance the working memory of children. 2016. American University in Cairo, Master's thesis. AUC Knowledge Fountain. https://fount.aucegypt. edu/etds/1415
Human resources practices as predictors of organizational citizenship behaviour: The role of job breadth and organizational support.

This study contributes to our understanding of the mediating and moderating processes through which satisfaction with developmental human resources practices are linked with organizational citizenship behaviour. Our model posits that the effect of satisfaction with developmental human resources practices on organizational citizenship behaviour is mediated by perceived organizational support and is moderated by job breadth. The methodology consisted of collecting data from 331 nurses who were surveyed about their satisfaction with developmental human resources practices, perceived organizational support, organizational citizenship behaviours and job breadth. Results support this model.
Mapping the genomic diversity of HCV subtypes 1a and 1b: Implications of structural and immunological constraints for vaccine and drug development

Despite significant progress in hepatitis C (HCV) treatment, global viral eradication remains a challenge. An in-depth map of its genome diversity within the context of structural and immunological constraints could contribute to the design of pan-genotypic antivirals and preventive vaccines. For such analyses, extensive information is only available for the highly prevalent HCV genotypes (GT) 1a and 1b. Using 647 GT1a and 408 GT1b full-genome sequences obtained from the Los Alamos database, we found that respectively 3 per cent and 82 per cent of all codon positions are under positive and negative selective pressure, suggesting variation mainly accumulates due to random genetic drift. An association between conservation and both structured RNA and secondary protein structures confirmed the important role of structural elements at nucleotide and at amino acid level. Remarkably, CD8+ T-cell epitopes in HCV GT1a were significantly more conserved, while at the same time containing more sites under positive selection. Similarly, CD4+ T-cell epitopes were significantly more conserved in both HCV subtypes, but under less positive selective pressure in GT1b and more negative selective pressure in GT1a. In contrast, B-cell epitopes in both subtypes were less conserved and under less stringent negative selection. These findings argue against immune selective pressure as the main force of between-host diversifying evolution. Despite its high variability, HCV is under strict evolutionary constraints, most probably to keep its genes and proteins functional during the replication cycle. These are encouraging findings for vaccine and drug design, which could consider these newly established genetic diversity profiles.
Organizational capital as competitive advantage of the firm

Purpose – The elements that constitute the organizational capital or capital of the firm, namely its culture, structure, organizational learning, can be a source of competitive advantage. This paper is an attempt to assess organizational capital from the resource‐based view.Design/methodology/approach – From an extensive literature review, an assessment framework for intellectual capital is developed.Findings – By means of this framework organizational capital can be depicted as a set of: valuable assets; difficult to imitate; to replace; to transfer; with a prolonged life expectancy; and with a feasible rent appropriation.Originality/value – Building of such an evaluation framework allows further research about other components of the intellectual capital of the firm, bridging the literatures focused on the resource‐based view and on intangible assets or intellectual capital.
An Unified Representation of Context Knowledge Base for Mobile Context-Aware System

To facilitate the implementation of a wide variety of context-aware applications based on mobile devices, general-purpose context-aware framework that applications can use by calling is needed. The context-aware framework is a middleware that performs the sensing, reasoning, and retrieving based on the knowledge base. The knowledge base must systematically represent the information required on the behavior of the context-aware framework, such as context information and reasoning information. It must also provide functions for storage and retrieval. To date, previous research on the representation of the context information have been carried out, but studies on the unified representation of the knowledge base has seen little progress. This study defines the knowledge base as the unified context information, and proposes the UniOWL, which can do a good job of representing it. UniOWL is based on OWL and represents the information that is necessary for the operation of the context-aware framework. Therefore, UniOWL greatly facilitates the implementation of the knowledge base on a context-aware framework. Keywords—Context-Awareness, Knowledge Base, Unified Context Information
Urinary calcium excretion in children with vesicoureteral reflux.

BACKGROUND Renal malformations including vesico-ureteral reflux (VUR) are associated with urolithiasis. However, studies on urinary calcium excretion in children with VUR have not been reported. This study was conducted to find out whether children with VUR have a higher prevalence of hypercalciuria and whether their family members are affected by hypercalciuria and/or urolithiasis. METHODS We studied the prevalence of hypercalciuria and urolithiasis in 46 children (12 males and 34 females) with VUR and in their parents. RESULTS Three out of 46 children had renal colic and nine out of 46 exhibited calyceal microlithiasis in the renal sonography. According to Stapleton's criteria, we found that 27 out of 46 children (58.6%) had hypercalciuria. These children were significantly shorter than children with normal calciuria and showed lower values of maximal urinary osmolality. We found no differences in urinary calcium excretion values related to the VUR grading, or to the presence or absence of renal scars, or to whether VUR was still unresolved or already resolved at the time of study. Seventeen out of 27 children with hypercalciuria (63%) had one or both parents affected by hypercalciuria, and there was a history of urolithiasis in six first-degree relatives and in four second-degree relatives (37%). Besides, 10 out of 19 children without hypercalciuria (52.6%) had one or both parents affected by hypercalciuria and there was a history of urolithiasis in three first-degree relatives and in three second-degree relatives (31.6%). Among the 27 children whose parents had hypercalciuria, four had both parents affected, 19 had only the mother affected and in four patients only the father was affected. CONCLUSION Our results showed that the prevalence of hypercalciuria was greater in paediatric patients with VUR than in the general population. Urolithiasis in patients with VUR had a metabolic origin. Hypercalciuria was inherited as an autosomal dominant trait although with a higher probability to be inherited from the mother.
Applying the Consumption Emotions Set to sport tourism

Research has highlighted the natural relationship between tourism and the concepts of hedonic experiences and experiential consumption. Understanding the emotional response to an experience can help marketers highlight important aspects of the satisfaction judgment. The purpose of this paper was to test the Consumption Emotions Set developed by Richins to verify its applicability in a sport tourism context. Results from confirmatory factor analysis indicate that while the scale has promise, it is important to adjust the scale to the context. Not all experiences evoke the full range of consumption emotions as presented by Richins.
Selection of transmit antennas, constellations and powers for correlated MIMO multiple access channels

A novel algorithm is presented to select the transmit antennas, constellations and distribution of total power of the users in a correlated multiple-input multiple-output (MIMO) multiple access channel. Given a target probability of symbol error, the spectral efficiency for each user and estimates of the channel correlation matrices, the transmit antennas, constellations and user power distribution are determined such that the required signal-to-noise ratio (SNR) is minimized for linear and vertical bell laboratories layered space-time (V-BLAST) receivers. This selection algorithm results in significant performance gains not only for correlated channels but also for independently fading channels.
Effect of Temozolomide in a patient with recurring oncocytic gonadotrophic pituitary adenoma

The patient was a 70-year-old man with a recurrent pituitary tumor. Three surgeries were performed but the tumor recurred. Based on histologic, immunohistochemical and ultrastructural studies, the diagnosis of oncocytic gonadotrophic pituitary adenoma was made. The tumor was a macroadenoma partly immunopositive for LH. Immunohistochemistry for O6 Methylguanine-DNA Methyl-Transferase (MGMT) showed an admixture of immunopositive and immunonegative cells. After recurrence following operations, the patient was treated with Temozolomide, an imidazotetrazine derivative, DNA-alkylating drug. Following Temozolomide administration the MRI demonstrated significant tumor necrosis. A few months later, the patient died of massive pulmonary embolism. No autopsy was performed. The present case indicates that benign, typically slow-growing pituitary adenomas of oncocytic gonadotrophic type may respond to Temozolomide even when the tumor consists of an admixture of MGMT immunopositive and immunonegative cells.
SECURE AND LIGHTWEIGHT HARDWARE AUTHENTICATION USING ISOLATED PHYSICAL UNCLONABLE FUNCTION

As embedded computers become ubiquitous, mobile and more integrated in con-nectivity, user dependence on integrated circuits (ICs) increases massively for handling security sensitive tasks as well as processing sensitive information. During this process, hardware authentication is important to prevent unauthorized users or devices from gaining access to secret information. An effective method for hardware authentication is by using physical unclonable function (PUF), which is a hardware design that leverages intrinsic unique physical characteristics of an IC, such as propagation delay, for security authentication in real time. However, PUF is vulnerable to modeling attacks, as one can design an algorithm to imitate PUF functionality at the software level given a sufficient set of challenge-response pairs (CRPs). To address the problem, we employ hardware isolation primitives (e.g., ARM TrustZone) to protect PUF. The key idea is to physically isolate the system resources that handle security-sensitive information from the regular ones. This technique can be implemented by isolating and strictly controlling any connection between the secure and normal resources. We design and implement a ring oscillator (RO)-based PUF with hardware isolation protection using ARM TrustZone. Our PUF design heavily limits the number of CRPs a potential attacker has access to. Therefore, the modeling attack cannot be performed accurately enough to guess the response of the PUF to a challenge. Furthermore, we develop and demonstrate a brand new application for the designed PUF, namely multimedia authentication, which is an integral part of multi-media signal processing in many real-time and security sensitive applications. We show that the PUF-based hardware security approach is capable of accomplishing the authentication for both the hardware device and the multimedia stream while introducing minimum overhead. Finally, we evaluate the hardware-isolated PUF design using a prototype implementation on a Xilinx system on chip (SoC). and resource usages). Our experimental results on the real hardware demonstrate the high security and low overhead of the PUF in real time authentication. iv DEDICATION To my Father, Dr.Ali Asghar Zaker Shahrak, who always reminded me to believe in my abilities, never afraid of challenges and work hard. To my Mother, Dr.Mehr Azam Jamali who loved me more than anything in this world. All that I am, or hope to be I owe it to my angel mother. I might be separated from them by distance, but they are always joined to my heart by love. v ACKNOWLEDGMENTS I would like to specially thank my advisor, …
Applying Grey Wolf Optimizer-based decision tree classifer for cancer classification on gene expression data

One of the most important research topics in bioinformatics is classification of cancer and in this topic, one of major concepts is using of microarray data. There are lots of methods ranging from analytical and computational intelligence methods for using gene expression data such as Back Propagation Neural Network (BPNN), Self-Organizing Map (SOM), Support Vector Machine (SVM) and Particle Swarm Optimization (PSO). In this paper, a hybrid method of Grey Wolf Optimizer (GWO) combined with decision tree as a classifier for selecting a small number of useful genes from the lots of genes to identify cancer is proposed. Proposed method and other famous classifiers such as BPNN, SOM, SVM, C4.5 and PSOC4.5 applied to experiments on 10 gene expression cancer datasets and results show proposed method outperforms others.