Miracle-dz/UniFAR-FTUs huggingface dataset:
Periodic Structure on the Slot Resonators in Microstrip Transmission Line

In this paper, scattering and phase-shift characteristics of 1-D periodic structures based on slot resonators in a ground plane of a microstrip line were studied. The scattering matrix of a slot resonator in a microstrip line ground plane was calculated by the two methods: using from scattering matrix of microstrip-slotline transition, and rigorous calculation of slot resonator in microstrip line. Both matrices were obtained by a transverse resonance technique. Amplitude characteristics and phase shift on period were studied for one-, two-, and three-stages periodic structures. As an example of possible application, the high-order harmonics filter based on a three-stage periodic structure was designed, which has a phase of a reflection coefficient equal to 0 and pi on the second and third harmonic, respectively. Such values of the phase find application in the output network of inverse class F power amplifiers.
A Simple Predator-Prey Population Model with Rich Dynamics

A non-smooth switched harvest on predators is introduced into a simple predator-prey model with logistical growth of the prey and a bilinear functional response. If the density of the predator is below a switched value, the harvesting rate is linear; otherwise, it is constant. The model links the well studied predator-prey model with constant harvesting to that with a proportional harvesting rate. It is shown that when the net reproductive number for the predator is greater than unity, the system is permanent and there may exist multiple positive equilibria due to the effects of the switched harvest, a saddle-node bifurcation, a limit cycle, and the coexistence of a stable equilibrium and a unstable circled inside limit cycle and a stable circled outside limit cycle. When the net reproductive number is less than unity, a backward bifurcation from a positive equilibrium occurs, which implies that the stable predator-extinct equilibrium may coexist with two coexistence equilibria. In this situation, reducing the net reproductive number to less than unity is not enough to enable the predator to go extinct. Numerical simulations are provided to illustrate the theoretical results. It seems that the model possesses new complex dynamics compared to the existing harvesting models.
Model-Driven Software Evolution: A Research Agenda

Software systems need to evolve, and systems built using model-driven approaches are no exception. What complicates model-driven engineering is that it requires multiple dimensions of evolution. In regular evolution, the modeling language is used to make the changes. In meta-model evolution, changes are required to the modeling notation. In platform evolution, the code generators and application framework change to reflect new requirements on the target platform. Finally, in abstraction evolution, new modeling languages are added to the set of (modeling) languages to reflect increased understanding of a technical or business domain. While MDE has been optimized for regular evolution, presently little or no support exists for metamodel, platform and abstraction evolution. In this paper, we analyze the problems raised by the evolution of model-based software systems and identify challenges to be addressed by research in this area. To be presented at the CSMR 2007 Workshop on Model-Driven Software Evolution (MoDSE), Amsterdam, 20 March 2007.
Climate Change Induces Shifts in Abundance and Activity Pattern of Bacteria and Archaea Catalyzing Major Transformation Steps in Nitrogen Turnover in a Soil from a Mid-European Beech Forest

Ongoing climate change will lead to more extreme weather events, including severe drought periods and intense drying rewetting cycles. This will directly influence microbial nitrogen (N) turnover rates in soil by changing the water content and the oxygen partial pressure. Therefore, a space for time climate change experiment was conducted by transferring intact beech seedling-soil mesocosms from a northwest (NW) exposed site, representing today's climatic conditions, to a southwest (SW) exposed site, providing a model climate for future conditions with naturally occurring increased soil temperature (+0.8°C in average). In addition, severe drought and intense rainfall was simulated by a rainout shelter at SW and manual rewetting after 39 days drought, respectively. Soil samples were taken in June, at the end of the drought period (August), 24 and 72 hours after rewetting (August) and after a regeneration period of four weeks (September). To follow dynamics of bacterial and archaeal communities involved in N turnover, abundance and activity of nitrifiers, denitrifiers, N2-fixing microbes and N-mineralizers was analyzed based on marker genes and the related transcripts by qPCR from DNA and RNA directly extracted from soil. Abundance of the transcripts was reduced under climate change with most pronounced effects for denitrification. Our results revealed that already a transfer from NW to SW without further treatment resulted in decreased cnor and nosZ transcripts, encoding for nitric oxide reductase and nitrous oxide reductase, respectively, while nirK transcripts, encoding for nitrite reductase, remained unaffected. Severe drought additionally led to reduced nirK and cnor transcripts at SW. After rewetting, nirK transcripts increased rapidly at both sites, while cnor and nosZ transcripts increased only at NW. Our data indicate that the climate change influences activity pattern of microbial communities involved in denitrification processes to a different extend, which may impact emission rates of the greenhouse gas N2O.
A Novel Video Denoising Method Based on Surfacelet Transform

In this paper, we propose a novel video denoising method applying 3D Context Model in Surfacelet Transform domain (3DCMST). Because of its directional decomposition, perfect reconstruction and low redundancy, ST has being become a powerful tool in image processing and analysis. In order to take fully advantage of the characteristic of the coefficients in ST domain, the Context model is extended from 2D to 3D, which can accomplish true 3D denoising processing. The coefficients of ST are divided into several classes according to their energy distribution by 3D Context model, and each class has independent energy estimate and threshold respectively. Experimental results show that 3DCMST has a good denoising performance in quality and fidelity. It is especially suitable for the video frame proceeding with furious movement and plenty of texture.
Label switching using the IPv6 address hierarchy

Current label switching protocols can use routing, address, and address hierarchy information to group flows for cut-throughs that bypass IP forwarding. This paper examines a label switching solution that uses the IP version 6 (IPv6) address structure to classify and cut-through flows based on address hierarchy. The performance of this approach is examined using actual backbone traffic traces with associated hierarchical address information obtained from Internet address registries, routing arbiter databases and route servers. This hierarchical address information is used to map a hierarchical address structure over the packet level trace. We investigate the relationship between aggregation bit-mask size versus label switching performance. We show that aggregation greater than IPv6 destination site address does not significantly improve performance. Our trace driven simulation studies show that it is possible to reduce the network layer packet forwarding requirements to below 0.15% of total packets at boundary routers within the core network by using IPv6 address hierarchy linked label switching.
Histological Diagnosis of Oral Lesions with Cutting Needle Biopsy: a Pilot Study

ABSTRACT Objectives The aim of this pilot study was to evaluate the effectiveness of cutting needle biopsy in the diagnosis of solid oral lesions. Material and Methods The biopsies were carried out on seven patients who presented with solid oral lesions with sizes ranging from 2 to 6 cm. Specimens were obtained from each lesion before conventional biopsies using a cutting needle with 18-gauge x 9 cm (MD TECH, Gainesville, FL, USA). A total of 64 specimens processed by hematoxylin-eosin staining method, were obtained. Afterwards, the analysis was performed by an oral pathologist, in two different stages, with and without the clinical history of each lesion. Then, these answers were compared with the final histological diagnosis. Results Results presented by the descriptive analysis showed that the correct diagnosis using cutting needle biopsy without the clinical history of lesions was registered in 37.5% of cases, while with the clinical history in 76.6%. Conclusions Despite the promising results as a potential technique for biopsies and histological diagnosis of oral lesions, the cutting needle biopsy should be analyzed carefully in those cases.
Plasma : a graph based distributed computing model

We present the concept and design of Plasma, a graph based abstraction and associated framework for distributed computing that is amenable to the development of social network infrastructures. Each peer in a Plasma system maintains a lo cal graph structure which represents its view of the network , as well as the application resources it contains. Distribut ed algorithms are implemented by issuing graph queries, and the underlying query processor automatically crosses network boundaries, performing the parallel lookup and/or gra ph transformation. Our graph based abstraction allows for the concise expression of many network algorithms as well as many graph oriented queries which are typical in modeling peer-to-peer and social-network systems. Furthermore, by separating the graph data model and operators from their storage and execution, the Plasma system can use efficient algorithms and optimization techniques to utilize the unde rlying resources as efficiently as possible. We study the implementation of some representative distributed services in the context of Plasma, finding that it allows for concise implementations, and is amenable to a wide range of uses.
Net Energy and Greenhouse Gas Emission Evaluation of Biodiesel Derived from Microalgae

Biofuels derived from microalgae have the potential to replace petroleum fuel and first-generation biofuel, but the efficacy with which sustainability goals can be achieved is dependent on the lifecycle impacts of the microalgae-to-biofuel process. This study proposes a detailed, industrial-scale engineering model for the species Nannochloropsis using a photobioreactorarchitecture.Thisprocesslevelmodel is integrated with a lifecycle energy and greenhouse gas emission analysis compatible with the methods and boundaries of the Argonne National Laboratory GREET model, thereby ensuring comparability to preexisting fuel-cycle assessments. Results are used to evaluate the net energy ratio (NER) and net greenhouse gas emissions (GHGs) of microalgae biodiesel in comparison to petroleum diesel and soybean-based biodiesel with a boundary equivalent to “well-to-pump”. The resulting NER of the microalgae biodiesel process is 0.93 MJ of energy consumed per MJ of energy produced. In terms of net GHGs, microalgaebased biofuels avoids 75 g of CO2-equivalent emissions per MJ of energy produced. The scalability of the consumables and products of the proposed microalgae-to-biofuels processes are assessed in the context of 150 billion liters (40 billion gallons) of annual production.
The 3 D-Packing by Meta Data Structure and Packing Heuristics

The three dimensional (3D) packing problem is to arrange given rectangular boxes in a rectangular box of the minimum volume without overlapping each other. As an approach, this paper introduces the system of three sequences of the box labels, the sequence-triple, to encode the topology of the 3Dpacking. The topology is the system of relative relations in pairs of boxes such as right-of, above, front-of, etc. It will be proved that the sequence-triple represents the topology of the tractable 3D-packings which is a 3D-packing such that there is an order of the boxes along which all the boxes are extracted one by one in a certain fixed direction without disturbing other remaining boxes. The idea is extended to the system of five ordered sequences, the sequence-quintuple. A decoding rule is given by which any 3D-packing is represented. These coding systems are applied to design heuristic algorithms by simulated annealing which search the codes for better 3D-packings. Experimental results were very convincing its usefulness as automated packing algorithms. key words: 3D-packing, placement, sequence-pair, sequence-
Higher level segmentation: Detecting and grouping of invariant repetitive patterns

The efficient and robust extraction of invariant patterns from an image is a long-standing problem in computer vision. Invariant structures are often related to repetitive or near-repetitive patterns. The perception of repetitive patterns in an image is strongly linked to the visual interpretation and composition of textures. Repetitive patterns are products of both repetitive structures as well as repetitive reflections or color patterns. In other words, patterns that exhibit near-stationary behavior provide a rich information about objects, their shapes, and their texture in an image. In this paper, we propose a new algorithm for repetitive pattern detection and grouping. The algorithm follows the classical region growing image segmentation scheme. It utilizes a mean-shift-like dynamics to group local image patches into clusters. It exploits a continuous joint alignment to (a) match similar patches and (b) refine the subspace grouping. The result of higher-level grouping for image patterns can be used to infer the geometry of object surfaces and estimate the general layout of a crowded scene.
Efficient Clustering Algorithm of Mining Consumers' Most Adaptive Products

Use clustering methods to discover the individual consumer’s most adaptive products, which can support to make better decisions of marketing service. First, oriented from the consumer’s transactional data that we will mine and targeted by finding some consumer’s most adaptive products, we present a simple and efficient cluster algorithm to put the most similar data into the same group. Then we can find the mined consumer’s most adaptive products from the cluster. Moreover, we propose a Boolean algorithm to improve the performance of the previous.
A qualitative study of RTI/Multi-tiered instruction in reading and LD identification from educators’ perspectives through the lens of implementation science

Response to Intervention (RTI) represents a promising approach for producing more positive student achievement outcomes for all students, including students with special needs, while at the same time solving the chronic problem of over-identifying students as having Learning Disabilities (LD) in reading. Nonetheless, the issue of how to implement RTI with fidelity and sustainability remains necessary and important. One key source of knowledge about implementing RTI is educators who have had experience implementing this approach. While a number of studies have examined RTI implementation from the perspective of educators, the studies have for the most part been limited to educators who have implemented RTI for only one year, and have not included a wide range of educators involved in the research. The goal of this study was to better understand and clarify issues related to the implementation of RTI and LD identification by examining the perspectives of a variety of educators who have worked at a school that has been involved in implementing RTI for three years. A major contribution of this study is that it is the only study examining educator perspectives of the RTI process while collecting fidelity of implementation data. Implementation issues were examined through the lens of Implementation Science, an empirically validated model for implementing Evidence-based Practices (EBPs). The data sources included interviews, classroom and RTI team meeting observations, and students’ achievement data. The study found that while RTI was generally implemented with fidelity, the extent to which the Implementation Science model was followed varied. The implications of the findings for RTI implementation and student-related outcomes, such as reading achievement and LD identification, as well as implications for future practice and research are discussed.
Efficient Detection of Malicious Web Pages Using High-Interaction Client Honeypots

Drive-by-download attacks are client-side attacks that originate from web servers clients visit. High-interaction client honeypots identify malicious web pages by directly visiting the web pages and are very useful. However, they still have shortcomings that must be addressed: long inspection time and possibility of not detecting certain attacks such as time bombs. To address these problems, we propose a new detection method to identify web pages with time bombs. The proposed method introduces a pattern-based static analysis for detecting time bombs efficiently. A high-interaction client honeypot performs the static analysis before carrying out execution-based dynamic analysis. The static analysis classifies sample web pages into two groups, the first one assumed to be time-bombs and the second one assumed to be no time-bombs. We then perform dynamic analysis for the first using sequential visitation algorithm with long classification delay and for the second using divide-and-conquer visitation algorithm with short classification delay. Experimental results demonstrate that our method is more accurate and costs less than conventional methods.
On the Cohen-Macaulay Property for Quadratic Tangent Cones

Let $H$ be an $n$-generated numerical semigroup such that its tangent cone $\operatorname{gr}_\mathfrak{m} K[H]$ is defined by quadratic relations. We show that if $n<5$ then $\operatorname{gr}_\mathfrak{m} K[H]$ is Cohen-Macaulay, and for $n=5$ we explicitly describe the semigroups $H$ such that $\operatorname{gr}_\mathfrak{m} K[H]$ is not Cohen-Macaulay. As an application we show that if the field $K$ is algebraically closed and of characteristic different from two, and $n\leq 5$ then $\operatorname{gr}_\mathfrak{m} K[H]$ is Koszul if and only if (possibly after a change of coordinates) its defining ideal has a quadratic Grobner basis.
Social Science Instruction in State Universities and Colleges in Region 1: Basis for a Master of Arts in Social Science Education Curriculum

The study utilized the descriptive-survey and development methods of research aimed to evaluate Social Science instruction in state universities and colleges (SUCs) in Region 1. It sought to inquire on the profile of the Social Science teachers and their teaching effectiveness in the General Education Social Science courses. The study employed fourth year Teacher Education students of selected campuses of the SUCs and their Social Science teachers. The study found out that a majority of the Social Science teachers have academic degrees which are not vertically articulated but were determined to be effective in all of the Social Science courses. Some significant relationships are manifested in the correlated variables of the Social Science teachers’ professional profiles (educational attainment, academic rank, teaching experience). No significant differences in the instructional competencies among the vertically and non-vertically articulated teachers were evident. In most cases, no significant differences were also noted among the vertically and non-vertically articulated teachers in terms of teaching effectiveness. It can be concluded that Social Science teachers are generally proficient in terms of instructional competencies and teaching effectiveness in the Social Science courses and vertical articulation of academic degrees does not have much bearing on them. Based on the results of the study, a Master of Arts in Social Science Education curriculum was developed.
J an 2 00 8 TCDMATH 08 – 01 Marginally Deformed Rolling Tachyon around the Tachyon Vacuum in Open String Field Theory

We investigate the string field theory around the tachyon vacuum. By using the vanishing cohomology we prove that all perturbative solutions are pure gauge forms up to gauge transformations at the tachyon vacuum. For a special choice of gauge function, marginal deformation from the tachyon vacuum is allowed due to nontrivial roles of Schnabl's analytic vacuum solution. We construct an exact rolling tachyon solution which connects the wild oscillations of the tachyon profile to the tachyon vacuum at late times of D-brane decay.
Neuropsychological patterns in magnetic resonance imaging-defined subgroups of patients with degenerative dementia

Abstract We hypothesized that specific neuropsychological deficits were associated with specific patterns of atrophy. A magnetic resonance imaging volumetric study and a neuropsychological protocol were obtained for patients with several frontotemporal lobar dementia phenotypes including a social/dysexecutive (SOC/EXEC, n = 17), progressive nonfluent aphasia (n = 9), semantic dementia (n = 7), corticobasal syndrome (n = 9), and Alzheimer’s disease (n = 21). Blinded to testing results, patients were partitioned according to pattern of predominant cortical atrophy; our partitioning algorithm had been derived using seriation, a hierarchical classification technique. Neuropsychological test scores were regressed versus these atrophy patterns as fixed effects using the covariate total atrophy as marker for disease severity. The results showed the model accounted for substantial variance. Furthermore, the “large-scale networks” associated with each neuropsychological test conformed well to the known literature. For example, bilateral prefrontal cortical atrophy was exclusively associated with SOC/EXEC dysfunction. The neuropsychological principle of “double dissociation” was supported not just by such active associations but also by the “silence” of locations not previously implicated by the literature. We conclude that classifying patients with degenerative dementia by specific pattern of cortical atrophy has the potential to predict individual patterns of cognitive deficits. (JINS, 2009, 15, 459–470.)