Miracle-dz/UniFAR-FTUs huggingface dataset:
Extensions of umbral calculus II: double delta operators, Leibniz extensions and Hattori-Stong theorems

We continue our programme of extending the Roman-Rota umbral calculus to the setting of delta operators over a graded ring E * with a view to applications in algebraic topology and the theory of formal group laws. We concentrate on the situation where E * is free of additive torsion, in which context the central issues are number-theoretic questions of divisibility. We study polynomial algebras which admit the action of two delta operators linked by an invertible power series, and make related constructions motivated by the Hattori-Stong theorem of algebraic topology. Our treatment is couched purely in terms of the umbral calculus, but inspires novel topological applications. In particular we obtain a generalised form of the Hattori-Stong theorem.
The Effects of Learning by Satellite on Rural Schools.

EDRS PRICE MFOI/PCOI Plus Postage. DESCRIPTORS *Adoption (Ideas); Adult Education; Communications Satellites; Community Education; Curriculum Enrichment; Delivery Systems; *Distance Education; Elementary Secondary Education; Networks; Program Descriptions; *Rural Education; Rural Schools; *Small Schools; Staff Development; State Programs; *Telecourses IDENTIFIERS Eastern Washington University; *Interactive Communication; *Interactive Satellite Instruction; Oklahoma State University; TI IN Network TK; Utah
Evolution of the Angular Correlation Function

For faint photometric surveys, our ability to quantify the clustering of galaxies has depended on interpreting the angular correlation function as a function of the limiting magnitude of the data. Because of the broad redshift distribution of galaxies at faint magnitude limits, the correlation signal has been extremely difficult to detect and interpret. Here we introduce a new technique for measuring the evolution of clustering. We utilize photometric redshifts derived from multicolor surveys to isolate redshift intervals and to calculate the evolution of the amplitude of the angular two-point correlation function. Applying these techniques to the Hubble Deep Field, we find that the shape of the correlation function at z=1 is consistent with a power law with a slope of -0.8. For z > 0.4, the best fit to the data is given by a model of clustering evolution with a comoving r0=2.37 h-1 Mpc and ϵ=-0.4+ 0.37−0.65, which is consistent with published measures of the clustering evolution. To match the canonical value of r0=5.4 h-1 Mpc found for the clustering of local galaxies requires a value of ϵ=2.10+ 0.43−0.64 (significantly more than linear evolution). The log likelihood of this latter fit is 4.15 times smaller than that for the r0=2.37 h-1 Mpc model. We, therefore, conclude that the parameterization of the clustering evolution of (1+z)-(3+ϵ) is not a particularly good fit to the data.
Vibration source localization for motion-blurred high-frame-rate videos

In this paper, we propose a robust method of vibration feature extraction using pixel-level digital filters in a high-frame-rate (HFR) video contaminated with motion blurs from a vibration source. This is completely different from conventional appearance-based object tracking methods that require spatial images with high-quality resolution. Our method allows a certain amount of motion blur to acquire brighter images by using a longer exposure time setting. This enables vibration source localization (VSL) under insufficient illumination. To verify its effectiveness, we present an experimental real-time tracking result of a flying multicopter with propellers rotating at several hundred hertz by implementing pixel-level digital filters for 128×128 images on a 1000 fps vision platform. Additionally, we kept the extracted vibration region at camera view center by controlling a pan-tilt active vision system.
Ontology Creation and Semantic Web for Paddy

The Semantic Web which is a collaborative movement led by the World Wide Web Consortium (W3C) is gaining popularity among the web users. Ontology forms the backbone of semantic web in representing data. A Paddy ontology created for the agro repository is presented in this paper. Based on Resource Description Framework/Web Ontology Language specifications the created ontology supports the extraction of new knowledge in the areas of high value Paddy, different varieties , possible diseases etc in the southern part of india.This paper makes an attempt to tag the relevant information on Paddy ontology formation which enable user to find, share and combine information more easily.
On Higher Order Modulations for OFDM in Frequency-Selective Fading Channels

It has been shown that adaptive modulation in OFDM significantly improves performance with perfect channel state information (CSI) at the transmitter. However, it is often difficult to obtain perfect CSI at the transmitter due to feedback overhead and estimation errors. In this letter, we study the optimal constellation size and coding rate when CSI is not available at the transmitter in frequency-selective fading channels. Our results indicate that increasing the constellation size uniformly for all subcarriers does not decrease the outage capacity. Moreover, we show that, rather than adapting the size of the constellation based on the receiver SNR and estimated root-mean-square delay spread, one should adapt the rate of the error control code.
Depth in Dedicated Mobile Device User Interfaces for Auto-Stereoscopic Displays

v Preface This thesis describes the research that has been conducted to accomplish my master project. This project was carried out at three places. First of all, I would like to thank from the bottom of my heart the most important person during my master project, my thesis supervisor, prof. dr. Ingrid Heynderickx, for her guidance and support. I would also like to thank her for introducing me to the subject of auto-stereoscopic displays and my master thesis subject. From Motorola, Inc I would like to thank Bernard Coll for making it possible for me to visit the Motorola lab and for his support and guidance. I would also like to thank Michael Johnson for everything he has done for me while I was in Tempe. I would like to thank all the other people at Motorola for making me feel comfortable at the lab. I would like to thank dr. Lina Karam of the Department of Electrical Engineering at Arizona State University for asking her students to participate in my experiments. To be able to do this project a number of experiments had to be done. I would like to thank all the participants of my experiments for taking their time to participate. Finally, I would like to thank my family and friends who supported me during the whole duration of this project. vi vii Summary With the growing usage of mobile devices, manufacturers have to distinguish themselves in their devices to keep their share of the market. Most important is that the consumer is satisfied with a given brand, since then the chances are high that he will stay loyal to that brand when it is time for a new device. A consumer buys a mobile device based on several factors. The user interface is one of these factors, and it is an easy aspect for the consumer to evaluate. It is what he sees and uses, and therefore, has to be made easy to use, intuitive and attractive. One way of making a user interface attractive is by using a new technology, such as an auto-stereoscopic display. This type of display makes use of binocular depth, also called stereopsis, which allows users to see depth without the necessity of using viewing aids. Nowadays, static images on a standard 2D display get an impression of depth by using monocular depth cues, e.g. occlusion, shadows, relative size, and linear …
The challenge of developmental therapeutics for adrenocortical carcinoma

Adrenocortical carcinoma (ACC) is a rare disease with an estimated incidence of only 0.7 new cases per million per year. Approximately 30-70% of the patients present with advanced disease with very poor prognosis and without effective therapeutic options. In the recent years, unprecedented progresses in cancer biology and genomics have fostered the development of numerous targeted therapies for various malignancies. Immunotherapy has also transformed the treatment landscape of malignancies such as melanoma, among others. However, these advances have not brought meaningful benefits for patients with ACC. Extensive genomic analyses of ACC have revealed numerous signal transduction pathway aberrations (e.g., insulin growth factor receptor and Wnt/β-catenin pathways) that play a central role in pathophysiology. These molecular alterations have been explored as potential therapeutic targets for drug development. This manuscript summarizes recent discoveries in ACC biology, reviews the results of early clinical studies with targeted therapies, and provides the rationale for emerging treatment strategies such as immunotherapy.
Directional Decision Lists and Identification of Problem Symptoms

In this paper we introduce a novel family of decision lists consisting of highly interpretable models which can be learned efficiently in a greedy manner. For discrimination tasks our model reduces to a sparse disjunction of features. We show on simulated data that the proposed model family is easy to train and exemplify its usability by identifying problem symptoms in a manufacturing process.
Visual summarization of landmarks via viewpoint modeling

In this paper, we describe an approach for visually summarizing a landmark by recommending images with diverse viewpoints (e.g. front-side viewpoint, bottom-top viewpoint, close-distant viewpoint, etc). Our approach models an image's viewpoint using a 4-D viewpoint vector, which describes viewpoint in horizontal, vertical, scale and orientation aspects. To construct the viewpoint vector for an image, we select Identical Semantic Points (ISPs) from hundreds to thousands SIFT points of the image to captures some major and unique parts of a landmark. Then a four dimensional viewpoint vector is utilized to measure on the position coordinate, scale and orientation of the ISPs in an image. After that, we perform viewpoint clustering to finally summarize landmarks. We evaluate our approach on 5K Oxford building image set and provide final summarization results for some famous landmarks in Oxford.
An Embedded Reconfigurable IP Core with Variable Grain Logic Cell Architecture

Reconfigurable logic devices (RLDs) are classified as the fine-grained or coarse-grained type based on their basic logic cell architecture. In general, each architecture has its own advantage. Therefore, it is difficult to achieve a balance between the operation speed and implementation area in various applications. In the present paper, we propose a variable grain logic cell (VGLC) architecture, which consists of a 4-bit ripple carry adder with configuration memory bits and develop a technology mapping tool. The key feature of the VGLC architecture is that the variable granularity is a tradeoff between coarse-grained and fine-grained types required for the implementation arithmetic and random logic, respectively. Finally, we evaluate the proposed logic cell using the newly developed technology mapping tool, which improves logic depth by 31% and reduces the number of configuration data by 55% on average, as compared to the Virtex-4 logic cell architecture.
THE POOR AND THE MOBILE PHONE RELATED SPENDING

In this paper, we present work done to find out the challenges poor people in Kakamega east district in western Kenya face to maintain their mobile phones. It reports on findings from a study conducted to find out how the poor use their mobile phones, their means of acquisition, air time top up, battery recharge dynamics, and repair costs. Mobile phone maintenance costs visa-vi their earnings and spending were also analyzed. Results show that over 80% of the population own mobile phones and 61 % of all those who own and use mobile phones spend at least 10% of their disposable income on mobile phone. Some people at the bottom of the pyramid forego other important basic needs at the expense of maintaining their mobile phone. We conclude that, unless positive policy or interventions are put in place, economic leapfrogging is not likely to happen among the poor in developing countries even with the high uptake of ICTs, especially mobile phones.
Chemical Methods to Induce Beta-Cell Proliferation

Pancreatic beta-cell regeneration, for example, by inducing proliferation, remains an important goal in developing effective treatments for diabetes. However, beta cells have mainly been considered quiescent. This “static” view has recently been challenged by observations of relevant physiological conditions in which metabolic stress is compensated by an increase in beta-cell mass. Understanding the molecular mechanisms underlining these process could open the possibility of developing novel small molecules to increase beta-cell mass. Several cellular cell-cycle and signaling proteins provide attractive targets for high throughput screening, and recent advances in cell culture have enabled phenotypic screening for small molecule-induced beta-cell proliferation. We present here an overview of the current trends involving small-molecule approaches to induce beta-cell regeneration by proliferation.
A compact quad-band bandstop filter using square spiral resonators based on folded stepped impedance resonator

In this letter, we propose the simulation, design and fabrication of the microstip quad-band bandstop filter (QBBSF) with Square Spiral Resonators (SSR). The basic cell of the structure consists of a folded stepped impedance microstrip transmission line. The center frequency of the filter is 1.12 GHz, 3.61 GHz, 6.20 GHz and 9.81GHz with the bandwidth of 1.13 GHz, 1.25 GHz, 1.12 GHz and 3.01GHz, respectively. The experimental results are closely matched with the simulated results.
An efficient fast hand tracking approach based on segmentation

We tackle the challenging problem of hand gesture tracking with 2D webcams, which is a promising enabler for human computer interaction. Recent studies have proposed many methods for object tracking. However, unlike the other objects, the particularities of hand make it difficult to be represented by common-used feature descriptors. In this paper, we analyze the key points in hand tracking and take a different approach to address it. Our contributions are: (i) a hand tracking method based on segmentation with color and movement cues, (ii) simplify the histogram based segmentation method to meet the speed requirement, and (iii) a preprocessing method based on color ranking, to speed up the detection procedure. Experiments are conducted to evaluate the performance of our approach compared with state of the art methods based on 2D images. Our approach is shown to deliver on par or even better results.
Special Section on Electronic Displays Distribution of Attention in Augmented Reality : Comparison between Binocular and Monocular Presentation

This study investigated the distribution of attention to frontal space in augmented reality (AR). We conducted two experiments to compare binocular and monocular observation when an AR image was presented. According to a previous study, when participants observed an AR image in monocular presentation, they perceived the AR image as more distant than in binocular vision. Therefore, we predicted that attention would need to be shifted between the AR image and the background in not the monocular observation but the binocular one. This would enable an observer to distribute his/her visual attention across a wider space in the monocular observation. In the experiments, participants performed two tasks concurrently to measure the size of the useful field of view (UFOV). One task was letter/number discrimination in which an AR image was presented in the central field of view (the central task). The other task was luminance change detection in which dots were presented in the peripheral field of view (the peripheral task). Depth difference existed between the AR image and the location of the peripheral task in Experiment 1 but not in Experiment 2. The results of Experiment 1 indicated that the UFOV became wider in the monocular observation than in the binocular observation. In Experiment 2, the size of the UFOV in the monocular observation was equivalent to that in the binocular observation. It becomes difficult for a participant to observe the stimuli on the background in the binocular observation when there is depth difference between the AR image and the background. These results indicate that the monocular presentation in AR is superior to binocular presentation, and even in the best condition for the binocular condition the monocular presentation is equivalent to the binocular presentation in terms of the UFOV. key words: augmented reality, monocular observation, useful field of view, visual attention, optical see-through
Machine Learning of Protein Interactions in Fungal Secretory Pathways

In this paper we apply machine learning methods for predicting protein interactions in fungal secretion pathways. We assume an inter-species transfer setting, where training data is obtained from a single species and the objective is to predict protein interactions in other, related species. In our methodology, we combine several state of the art machine learning approaches, namely, multiple kernel learning (MKL), pairwise kernels and kernelized structured output prediction in the supervised graph inference framework. For MKL, we apply recently proposed centered kernel alignment and p-norm path following approaches to integrate several feature sets describing the proteins, demonstrating improved performance. For graph inference, we apply input-output kernel regression (IOKR) in supervised and semi-supervised modes as well as output kernel trees (OK3). In our experiments simulating increasing genetic distance, Input-Output Kernel Regression proved to be the most robust prediction approach. We also show that the MKL approaches improve the predictions compared to uniform combination of the kernels. We evaluate the methods on the task of predicting protein-protein-interactions in the secretion pathways in fungi, S.cerevisiae, baker’s yeast, being the source, T. reesei being the target of the inter-species transfer learning. We identify completely novel candidate secretion proteins conserved in filamentous fungi. These proteins could contribute to their unique secretion capabilities.
Dynamic Regression Test Selection Based on a File Cache An Industrial Evaluation

This paper presents a simple method that computes test case coverage information from information on what files were updated to fix a fault found by the test case. It uses a cache to monitor fault-prone files and recommends test cases to rerun to cover updated files. We present an evaluation of the method during two months of development of a large, industrial, embedded, real-time software system. Our results show that the method is effective, reaching weekly cache hit rates in the range 50-80%.
Self-stabilizing operating systems

This work presents new directions for building a self stabilizing operating system kernel. A system is self-stabilizing [3, 4] if it can be started in any possible state and it converges to a desired behavior. A state of a system is an assignment of arbitrary values to the systems variables. The usefulness of such a system in critical and remote systems cannot be over estimated. Entire years of work maybe lost when the operating system of an expensive complicated device e.g., a spaceship, may reach an arbitrary state due to say, soft errors (e.g., [8]), and be lost forever. Last results of this research can be found in [5] and [6].
New application of wavelet transform in classification the arterial pulse signals

The Discrete Wavelet Transform (DWT) is a transformation that can be used to analyze the temporal and spectral properties of non-stationary signals. In this paper we describe some applications of the DWT to the problem of extracting information from normal and abnormal arterial pulses. We shall review a feature extraction algorithm of pulse signals, wavelet analysis, with aim of generating the most appropriate input vector for a neural classifier and we will know that the wavelet approach is highly suitable for the analysis of such signals. Some examples of the application of the wavelet transform and artificial network to identify the pulse signals are provided here. Application range from the extraction of normative signals from nonnormative, to extraction of quantitative parameters for clinical purposes.
Visual Detection of Enterohemorrhagic Escherichia coli O157:H7 Using Loop-Mediated Isothermal Amplification

Introduction Escherichia coli O157:H7, an important foodborne pathogen, can cause serious renal damage, which can also lead to mortality. Since a rapid and sensitive method is needed to identify this pathogenic agent, we evaluated Loop-Mediated Isothermal Amplification Assay (LAMP) to detect Escherichia coli O157:H7. Methods We used six primers that specifically identified the rfbE gene. To examine the sensitivity of the method, different dilutions were subjected to the LAMP reaction. Other bacterial strains also were investigated to determine the specificity of the test. The turbidity of the amplified products was assayed by visual detection. The amplified products were detected by addition of SYBR Green II to the reaction tubes. Results Amplification products were observed as a ladder-like pattern on the agarose gel. A white turbidity emerged in the positive tubes. Under UV light, the positive samples were green, whereas the negative samples were orange. The detection limit of the LAMP was 78 pg/tube, and this indicated that it was 100 times more sensitive than PCR for the detection of EHEC. No LAMP products were detected when template DNA of non-EHEC strains were used, suggesting high specificity of the LAMP assay. Conclusion The results indicated that the LAMP assay is a valuable diagnostic assay to identify EHEC O157:H7. In addition, the simplicity, sensitivity, specificity, and rapidity of this assay make it a useful method to diagnose pathogens in primary labs without any need for expensive equipment or specialized techniques.
Multiple Molecular Interactions Determine the Clustering of Caspr2 and Kv1 Channels in Myelinated Axons

Clustering of Kv1 channels at the juxtaparanodal region (JXP) in myelinated axons depends on their association with the Caspr2/TAG-1 adhesion complex. The interaction between these channels and Caspr2 was suggested to depend on PDZ (PSD-95/Discs large/zona occludens-1) scaffolding proteins. Here, we show that at a subset of the JXP, PSD-93 colocalizes with Caspr2, K+ channels and its related protein postsynaptic density protein-95 (PSD-95). The localization of PSD-93 and PSD-95 depends on the presence of Caspr2, as both scaffolding proteins failed to accumulate at the JXP in mice lacking either Caspr2 or TAG-1. In contrast, Caspr2 and K+ channels still colocalized and associated in PSD-93, PSD-95 or double PSD-93/PSD-95 null mice. To directly evaluate the role of PDZ domain proteins in the function of Caspr2, we examined the ability of transgenic Caspr2 molecules lacking either their cytoplasmic domain (Caspr2dCT), or their PDZ-binding sequence (Caspr2dPDZ), to restore Kv1 channel clustering in Caspr2 null mice. We found that while Kv1 channels were distributed throughout internodes in nerves expressing Caspr2dCT, they were clustered at the JXP in axons expressing a full-length Caspr2 (Caspr2FL) or the Caspr2dPDZ transgene. Further proteomic analysis revealed that Caspr2 interacts with a distinct set of scaffolding proteins through its PDZ- and protein 4.1-binding sequences. These results demonstrate that while the molecular assembly of the JXP requires the cytoplasmic domain of Caspr2, its carboxy-terminal PDZ-binding motif is dispensable for Kv1 channel clustering. This mechanism is clearly distinct from the one operating at the axon initial segment, which requires PSD-93 for Kv1 channel clustering.