Miracle-dz/UniFAR-FTUs huggingface dataset:
Exponential Dichotomies and Wiener-Hopf Factorizations for Mixed-Type Functional Differential Equations

We study linear systems of functional differential equations of mixed type, both autonomous and (asymptotically hyperbolic) nonautonomous. Such equations arise naturally in various contexts, for example, in lattice differential equations. We obtain a decomposition of the state space into stable and unstable subspaces with associated semigroups or evolutionary processes. In the autonomous case we additionally obtain representations of the semigroups in terms of retarded and advanced equations. We also obtain a factorization of the characteristic function, analogous to a Wiener-Hopf factorization, with which we define an integer invariant for the system. Finally, we study the boundary value problem on intervals of long but finite length in the spirit of the finite section method.
Design of ZVS resonant SEPIC converter for high frequency applications

This paper presents a resonant SEPIC (Single-Ended Primary Inductor Converter) Converter and Control method suitable for Very High Frequency dc-dc Power Conversion. SEPIC is chosen since it has positive voltage gain and higher characteristics than any other converter. The proposed design provides high efficiency over a wide range of input and output voltage ranges, up & down voltage conversion, small size and excellent transient performance. The Converter regulates the output using an ON-OFF control scheme modulating at a fixed frequency and duty ratio operation. This control method enables a fast transient response and efficient light-load operation while providing controlled spectral characteristics of input and Output waveforms. The resonant inductors and capacitors are fine tuned to achieve Zero Voltage Switching (ZVS) condition and thus the converter achieves higher than 80% efficiency across entire input voltage range at nominal output voltage and maintains good efficiency across the whole operating range.
The effects of the fluctuations in oil prices on the performance of the Libyan economy

---------------------------------------------------------------------3.1:Introduction ----------------------------------------------------3.2: Population, Labor Force, and Social indicators ---------------3.3: Structure and Performance of the Libyan Economy ---------3.4: Structure of Libyan foreign trade and its balance of payments --------------------------------------------------------------3.5: Conclusions --------------------------------------------------------CHAPTER FOUR: Impact of Fluctuations in Oil Prices on Libyan Economic Growth Abstract:----------------------------------------------------------4.1: Introduction ----------------------------------------------------------4.2: Rates of Growth of Libyan Oil Exports and Non-oil Sectors-4.3: Relationship between Exports and Economic Growth -------13----------------------------------------------------------4.1: Introduction ----------------------------------------------------------4.2: Rates of Growth of Libyan Oil Exports and Non-oil Sectors-4.3: Relationship between Exports and Economic Growth -------13
Case Study of Post-Literacy Program in Indonesia

This study aims at analyzing a post-literacy program run by the Ministry of Education and Culture in Indonesia. This program, operating since 2009, provides public resources in the form of grant money to educational institutions and community learning centers (CLCs), not only to preserve literacy but also to help poor and illiterate people achieve economic independence. This study examined students’ achievements in literacy and life skills, and explored the program’s economic impact on communities. The interviewees who participated in the study included adult students, tutors, heads of CLCs, and senior education officers at the district, provincial, and Ministerial level. A significant amount of primarily qualitative data was gathered through document review, observation and interviews with 29 participants. The study’s findings reveal that the program, as implemented, has significantly mixed results. As a social and educational program, it maintains students’ literacy and teaches life skills quite successfully. As an economic program, however, it has been markedly less successful. The results also illustrate that for the majority of students, completing the program did not directly correspond to economic advancement. How the economic side of the program could be improved is beyond the scope of this study. The data gathered in this study, however, suggests areas in which the program can be improved, including teacher and tutor education, better managerial and administrative training, revisions of program evaluation policy, and closer stakeholder partnerships.
Evaluating the datamining techniques and their roles in increasing the search speed data in web

In this article, data mining which is a new method in retrieving the high amount of information has been introduced. Data mining nowadays plays an important role in searching the information on the web that include a high variety data types. For reaching this goal, datamining techniques for automatic discovering and extracting the web based information has been used as webmining.
Correlating Market Models

One of the key features differentiating methods of calibrating the lognormal LIBOR Market Model (LMM) to observed at-the-money option prices is the way in which these methods handle correlation between forward rates of different maturities. On the basis of the Pedersen (1998) calibration algorithm, we pursue the question of whether there is sufficient information contained in swaption prices to calibrate correlation, and what this means for the pricing of exotic derivatives off a calibrated LMM. After briefly summarising the calibration method, we review the different concepts of correlation relevant to the LMM. The potential inconsistency between historical and implied correlation is found not to be an issue. We analyse the sensitivity of swaption prices and the calibrated volatility levels to correlations, and also study the trade-off between fitting correlations and fitting a calendar-time dependence of volatility. Subsequently, we discuss the effects of calibration ambiguity on derivatives priced off the calibrated model.
İMKB’DE İŞLEM GÖREN KOBİ’LERİN GÜÇLÜ VE ZAYIF YÖNLERİ: CHAID KARAR AĞACI UYGULAMASI

The aim of this study is to detect the strength and weakness of SMEs which have a significant position in globalization. 697 SMEs listed in the Istanbul Stock Exchange (ISE) during the years 2000-2005 were covered in the study. Data Mining method, which can be describe as a collection of techniques that aim to find useful but undiscovered patterns in collected and Chi-Square Automatic Interaction Detector (CHAID) decision tree algorithms, one of the data mining method was used for segmentation in the study. As a result of the study, SMEs listed in the ISE were categorized in 19 different profiles by the CHAID and it was founded that strengths and weakness of the SMEs were identified by strategies of the equity and assets productivity, financing fixed assets, management of accounts receivables and liquidity
An examination of perceived value dimensions in the hospitality industry

It is argued that products and services offering value for money not only influence customers choice behavior at the pre purchase phase but also affect their satisfaction, intention to recommend and return behavior at the post purchase phase. Despite strategic importance of the concept of perceived value for marketing, it did not receive enough investigation in the hospitality literature. This study is an attempt to test the validity and reliability of the perceived value dimensions in the evaluation of hospitality services. To do that, two-dimensional instrument was adapted from the one presented by Grewal, Monroe and Krishnan (1998). The scale was applied to two types of hospitality services, hotels and restaurants. Although the scale was found to be reliable, there were some issues involved about its validity across the two studies. In particular although the dimension of acquisition value was valid, the validity of transaction value was found to be very poor. In conclusion, this study suggests that a new conceptualization of transaction value and a better scale should be developed for the evaluation of hospitality services.
A comparison between probabilistic and possibilistic models for data validation

Summary. Data validation for models with errors in the variables is an important aspect for supporting decision making. In this context, several concepts have been employed. In this paper, we compare a possiblistic and a probabilistic approach. The DuPont Business model is chosen as an example for a controlling model with errors. Although the FuzzyCalc algo-rithm, representing the possiblistic approach, and the SamPro algorithm, representing the probabilistic approach, use different calculi, their results are quite similar, proving themselves suitable for data validation.
ANTIBACTERIAL ACTIVITIES AND GC-MS ANALYSIS OF PHYTOCOMPONENTS OF EHRETIA ABYSSINICA R.BR. EX FRESEN

The Ehretiaabyssinica, a small tree, belong to Boraginaceae family is traditionally known for its medicinal properties. The present study was therefore carried out to investigate the antibacterial activities and to unveil the Phytochemicals of the bioactive components in the leaves extract of this plant species. The antimicrobial activities of leaves extract was investigated against 7 medically important bacterial strains, namely Bacillus subtilius, MRSA, Micrococcus ,Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aurues and Klebsella pneumoniae. The antibacterial activity was determined using agar well diffusion method. The most susceptible bacteria to this extract were Pseudomonas aeruginosa, followed by Staphylococcus aurues, while the most resistant bacteria were Micrococcus. GC-MS analysis revealed that the ethanol leave extract of Ehretiaabyssinica contained mainly Octadecenamide (5.77%); Lucenin 2 (5.46%); Docosane and Nonacosane (3.75%); Cyclopropene (3.50%); Hematoporphyrin (2.68%); Tetratetracontane (2.36%); Dotriacontane (1.57); Acetic acid (1.53); Nmethylglycine (1.49%); Propyne antimicrobial (1.41%). All identified compounds are known to have antimicrobial activity.
TAKING BOYS SERIOUSLY - A LONGITUDINAL STUDY OF ADOLESCENT MALE SCHOOL-LIFE EXPERIENCES IN NORTHERN IRELAND

This report presents the findings of a five year longitudinal study (2006-2011) carried out by The Centre for Young Men’s Studies at the University of Ulster and funded by the Department of Education and the Department of Justice. The research was initiated in response to concerns about boys’ educational underachievement and wider concerns about boys’ health and well-being. The study annually tracked the same 378 adolescent boys aged 11-16 across nine post-primary schools in Northern Ireland.
Orientation Template Matching for Face Localization in Complex Visual Scenes

An important topic in face recognition as well as in video coding or multi-modal human machine interfaces is the automatic localization of faces or head-and-shoulder regions in visual scenes. The algorithms therefore should be computationally efficient and robust against distortions like varying lighting conditions. This paper describes a novel method for segmenting frontal head and shoulder views of persons from grey level images. The segmentation is done by oriented template correlation. This matching method only depends on edge information, especially the orientation of the edges. We describe the generation of a statistical model of edge orientation within a human face from a training sample. In the matching stage we calculate the probability for a face at the current image position using this model. The detection capabilities of the presented algorithm are evaluated on a large database of 1114 images each containing one or more faces.
A Novel Technique for the In Vivo Imaging of Autoimmune Diabetes Development in the Pancreas by Two-Photon Microscopy

Type 1 diabetes (T1D) is characterized by the immune-mediated destruction of beta cells in the pancreas. Little is known about the in vivo dynamic interactions between T cells and beta cells or the kinetic behavior of other immune cell subsets in the pancreatic islets. Utilizing multiphoton microscopy we have designed a technique that allows for the real-time visualization of diabetogenic T cells and dendritic cells in pancreatic islets in a live animal, including their interplay with beta cells and the vasculature. Using a custom designed stage, the pancreas was surgically exposed under live conditions so that imaging of islets under intact blood pressure and oxygen supply became possible. We demonstrate here that this approach allows for the tracking of diabetogenic leukocytes as well as vascularization phenotype of islets and accumulation of dendritic cells in islets during diabetes pathogenesis. This technique should be useful in mapping crucial kinetic events in T1D pathogenesis and in testing the impact of immune based interventions on T cell migration, extravasation and islet destruction.
Web-based Labs for Cyberphysical Systems : A Disruptive Technology

The paper discusses a solution for fully web-based but still hands-on software engineering labs for cyberphysical systems. A cyberphysical system is understood as acomputer system that is embedded in a larger system whose functions are not necessarily computational, and which is accessible via a network. Incorporating online labs into the teaching process involves not only remote operation and experimenting with the device, but primarily remote software development, uploading this software to the device, and then remote testing of its operation, with observing the device via a webcam. A couple of lab stations for conducting web-based laboratories are discussed, and respective lessons learned are outlined. This type of webbased labs have been offered for the first time in the U.S., in a fully online undergraduate course on Embedded Systems, in the Spring 2013.
The Vanilloid Receptor TRPV1 Is Tonically Activated In Vivo and Involved in Body Temperature Regulation

The vanilloid receptor TRPV1 (transient receptor potential vanilloid 1) is a cation channel that serves as a polymodal detector of pain-producing stimuli such as capsaicin, protons (pH <5.7), and heat. TRPV1 antagonists block pain behaviors in rodent models of inflammatory, neuropathic, and cancer pain, suggesting their utility as analgesics. Here, we report that TRPV1 antagonists representing various chemotypes cause an increase in body temperature (hyperthermia), identifying a potential issue for their clinical development. Peripheral restriction of antagonists did not eliminate hyperthermia, suggesting that the site of action is predominantly outside of the blood–brain barrier. Antagonists that are ineffective against proton activation also caused hyperthermia, indicating that blocking capsaicin and heat activation of TRPV1 is sufficient to produce hyperthermia. All TRPV1 antagonists evaluated here caused hyperthermia, suggesting that TRPV1 is tonically activated in vivo and that TRPV1 antagonism and hyperthermia are not separable. TRPV1 antagonists caused hyperthermia in multiple species (rats, dogs, and monkeys), demonstrating that TRPV1 function in thermoregulation is conserved from rodents to primates. Together, these results indicate that tonic TRPV1 activation regulates body temperature.
Gas for aerodynamic shape design. II: Multiobjective optimization and multi-criteria design

The lecture focuses on multi-objective genetic algorithms with hybrid capabilities, and on their application to multi-criteria design problems. A short introduction to multipoint aerodynamic shape design is given, and the advantages of a multi-objective optimization approach to this problem are outlined. The introduction of basic concepts of multi-objective optimization is followed by the description of a multiple objective genetic algorithm. Some techniques for efficiency improvement are introduced; in particular, the gradient based technique for hybrid optimization is extended to multi-objective design problems. Application examples are reported related both to single and multi-element airfoil design in high-lift conditions, and to transonic wing design.
Estrogen Receptor Alpha Distribution and Expression in the Social Neural Network of Monogamous and Polygynous Peromyscus

In microtine and dwarf hamsters low levels of estrogen receptor alpha (ERα) in the bed nucleus of the stria terminalis (BST) and medial amygdala (MeA) play a critical role in the expression of social monogamy in males, which is characterized by high levels of affiliation and low levels of aggression. In contrast, monogamous Peromyscus males display high levels of aggression and affiliative behavior with high levels of testosterone and aromatase activity. Suggesting the hypothesis that in Peromyscus ERα expression will be positively correlated with high levels of male prosocial behavior and aggression. ERα expression was compared within the social neural network, including the posterior medial BST, MeA posterodorsal, medial preoptic area (MPOA), ventromedial hypothalamus (VMH), and arcuate nucleus in two monogamous species, P. californicus and P. polionotus, and two polygynous species, P. leucopus and P. maniculatus. The results supported the prediction, with male P. polionotus and P. californicus expressing higher levels of ERα in the BST than their polygynous counter parts, and ERα expression was sexually dimorphic in the polygynous species, with females expressing significantly more than males in the BST in both polygynous species and in the MeA in P. leucopus. Peromyscus ERα expression also differed from rats, mice and microtines as in neither the MPOA nor the VMH was ERα sexually dimorphic. The results supported the hypothesis that higher levels of ERα are associated with monogamy in Peromyscus and that differential expression of ERα occurs in the same regions of the brains regardless of whether high or low expression is associated with social monogamy. Also discussed are possible mechanisms regulating this differential relationship.
Effect of doping- and field-induced charge carrier density on the electron transport in nanocrystalline ZnO

The charge transport properties of thin films of sol–gel processed undoped and Al-doped zinc oxide nanoparticles with variable doping level between 0.8 and 10 at. % were investigated. The x-ray diffraction studies revealed a decrease of the average crystallite sizes in highly doped samples. We provide estimates of the conductivity and the resulting charge carrier densities with respect to the doping level. The increase of charge carrier density due to extrinsic doping was compared to the accumulation of charge carriers in field effect transistor structures. This allowed us to assess the scattering effects due to extrinsic doping on the electron mobility. The latter decreases from 4.6 × 10−3 to 4.5 × 10−4 cm2 V−1 s−1 with increasing doping density. In contrast, the accumulation leads to an increasing mobility up to 1.5 × 10−2 cm2 V−1 s−1. The potential barrier heights related to grain boundaries between the crystallites were derived from temperature dependent mobility measurements. The extrinsic doping initially leads to a grain boundary barrier height lowering, followed by an increase due to doping-induced structural defects. We conclude that the conductivity of sol–gel processed nanocrystalline ZnO:Al is governed by an interplay of the enhanced charge carrier density and the doping-induced charge carrier scattering effects, achieving a maximum at 0.8 at. % in our case.
Linearization for TD-LTE Power Amplifiers Based on Memory Polynomial Models

In this paper, a memory polynomial nonlinear model-based pre-distorter is utilized to linearize a wideband RF power amplifier for a TD-LTE system. The nonlinear model is briefly introduced and frame structure of the TD-LTE signal has been described in detail. In addition, the compensation results of nonlinear distortions for the TD-LTE signal are presented, which illustrated that the memory polynomial model-based pre-distorter exhibits good performance in suppressing the spectrum re-growth caused by the memory effects of the wideband power amplifier.
Electrical Properties of Graphene for Interconnect Applications

A semi-classical electrodynamical model is derived to describe the electrical transport along graphene, based on the modified Boltzmann transport equation. The model is derived in the typical operating conditions predicted for future integrated circuits nano-interconnects, i.e., a low bias condition and an operating frequency up to 1 THz. A generalized non-local dispersive Ohm’s law is derived, which can be regarded as the constitutive equation for the material. The behavior of the electrical conductivity is studied with reference to a 2D case (the infinite graphene layer) and a 1D case (the graphene nanoribbons). The modulation effects of the nanoribbons’ size and chirality are highlighted, as well as the spatial dispersion introduced in the 2D case by the dyadic nature of the conductivity.
Spurious ‘active longitudes’ in parametric models of heavily spotted eclipsing binaries

In this paper, the size distributions of starspots extrapolated from the case of the Sun are modelled on the eclipsing binary SV Cam to synthesize images of stellar photospheres with high spot filling factors. These spot distributions pepper the primary's surface with spots, many of which are below the resolution capabilities of eclipse-mapping and Doppler-imaging techniques. The light curves resulting from these modelled distributions are used to determine the limitations of image reconstruction from photometric data. Surface brightness distributions reconstructed from these light curves show distinctive spots on the primary star at its quadrature points. It is concluded that two-spot modelling or chi-squared minimization techniques are more susceptible to spurious structures being generated by systematic errors, arising from incorrect assumptions about photospheric surface brightness, than simple Fourier analysis of the light curves.
The Canadian Cardiac Rehabilitation Registry: Inaugural Report on the Status of Cardiac Rehabilitation in Canada

Introduction. There are over 200 Cardiovascular Rehabilitation (CR) programs in Canada, providing services to more than 50,000 new patients annually. The objective of this study was to describe the impact of CR in Canada. Methods. A retrospective analysis of Canadian CR Registry data is presented. There were 12 programs participating, with 4546 CR participants. Results. The average wait time between patient referral and CR admission was 68 ± 64 days. Participants were 66.3 ± 11.5 years old, 71% male, and 82% White. The three leading referral events were coronary artery bypass graft surgery, percutaneous coronary intervention, and acute coronary syndrome. At discharge, data were available for ~90% of participants. Significant improvements in blood pressure (systolic pre-CR 123.5 ± 17.0, post-CR 121.5 ± 15.8 mmHg; p < .001), lipids, adiposity, and exercise capacity (peak METs pre-CR 6.5 ± 2.8, post-CR 7.2 ± 3.1; p < .001) were observed. However, target attainment for some risk factors was suboptimal. Conclusions. This report provides the first snapshot of the beneficial effects of CR in Canada. Not all patients are equally represented in these programs, however, leaving room for more referral of diverse patients. Greater attainment of risk reduction targets should be pursued.