Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey and Taxonomy of Cyber Foraging of Mobile Devices

With the ever-increasing advancement of mobile device technology and their pervasive usage, users expect to run their applications on mobile devices and get the same performance as if they used to run their applications on powerful non-mobile computers. There is a challenge though in that mobile devices deliver lower performance than traditional less-constrained and non-mobile computers because they are constrained by weight, size, and mobility in spite of all their advancements in recent years. One of the most common solutions that has ameliorated this performance disparity is cyber foraging, wherein nearby non-mobile computers called surrogates are utilized to run the whole or parts of applications on behalf of mobile devices. In this paper, we present a survey of cyber foraging as a solution to resolve the challenges of computing on resource-constrained mobile devices. We also explain the most notable cyber foraging systems and present a categorization of existing cyber foraging approaches considering their type of dynamicity, granularity, metrics used, surrogate types and scale, location of their decision maker unit, remoteness of execution, migration support, and their overheads.
Characterization of the lipopolysaccharide O antigens of Actinobacillus pleuropneumoniae serotypes 9 and 11: antigenic relationships among serotypes 9, 11, and 1

The antigenic lipopolysaccharide O polysaccharides of capsular serotypes 9 and 11 were examined by chemical, immunological, and nuclear magnetic resonance methods. Immunodiffusion tests carried out on these O antigens indicated that both contained common epitopes which were also shared by Actinobacillus pleuropneumoniae serotype 1. Chemical analysis and high-field nuclear magnetic resonance spectroscopy showed that the O antigens of serotypes 9 and 11 were high-molecular-weight polymers consisting of a backbone of repeating trisaccharide units composed of alpha-L-rhamnopyranosyl and alpha-D-glucopyranosyl residues (2:1). One of the alpha-L-rhamnose units forms a branch point and is stoichiometrically substituted with terminal 2-acetamido-2-deoxy-beta-D-glucose residues in the serotype 11 O polysaccharide, but only to the extent of 25% in the serotype 9 O polysaccharide. Thus, the serotype 9 O polysaccharide contains two different repeating units: a tetrasaccharide unit with the same structure as that of the serotype 11 O polysaccharide and a trisaccharide unit: [formula: see text] where R = beta-D-GlcpNAc for serotype 1 and 11 O polysaccharides, and R = H (75%) and R = beta-D-GlcpNAc (25%) for serotype 9. The structure of the previously determined serotype 1 O polysaccharide (E. Altman, J.-R. Brisson, and M. B. Perry, Biochem. Cell. Biol. 64:17-25, 1986) is identical to that of the serotype 11 O polysaccharide. We propose a more complete serotyping scheme for A. pleuropneumoniae which includes designation of both the capsular (K) and O antigens.
5 Steps to Collaborative Teaching and Enrichment Remediation

8 • THE COUNCIL FOR EXCEPTIONAL CHILDREN This article presents strategies that take advantage of student interests to provide motivation for students like these. The strategies also encourage general and special education teachers to collaborate in ensuring the success of all learners in their classrooms. Derived from research on effective teaching the strategies are teacher-tested and student-approved. A program we call "Enrichment Remediation" is one technique for providing motivation and implementing collaborative teaching. We designed this program for students in grades 4-8 with mild learning or developmental disabilities. We found that Enrichment Remediation can be used with students in one-to-one settings and in small and large groups. St.p. to Iffectlv. I.rich•••• a.I.I••
Shata-Anuvadak: Tackling Multiway Translation of Indian Languages

We present a compendium of 110 Statistical Machine Translation systems built from parallel corpora of 11 Indian languages belonging to both Indo-Aryan and Dravidian families. We analyze the relationship between translation accuracy and the language families involved. We feel that insights obtained from this analysis will provide guidelines for creating machine translation systems of specific Indian language pairs. We build phrase based systems and some extensions. Across multiple languages, we show improvements on the baseline phrase based systems using these extensions: (1) source side reordering for English-Indian language translation, and (2) transliteration of untranslated words for Indian language-Indian language translation. These enhancements harness shared characteristics of Indian languages. To stimulate similar innovation widely in the NLP community, we have made the trained models for these language pairs publicly available.
Traffic-aware message scheduling method for ISA100.11a

This paper proposes a new message scheduling method on shared timeslots of ISA100.11a to enhance real-time performance, called Traffic-Aware Message Scheduling (TAMS) method. Instead of competing to transmit sporadic messages in consecutive cycles, end-nodes are divided into parts, and then access the channel in the specific cycles when the probability of timeslots getting involved in collision exceeds a threshold. The simulation results indicate that the proposed method provides performance improvements in terms of throughput and end-to-end delay.
Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters

Echocardiographic images are inherent with speckle noise which makes visual reading and analysis quite difficult. The multiplicative speckle noise masks finer details, necessary for diagnosis of abnormalities. A novel speckle reduction technique based on integration of geometric, wiener, and fuzzy filters is proposed and analyzed in this paper. The denoising applications of fuzzy filters are studied and analyzed along with 26 denoising techniques. It is observed that geometric filter retains noise and, to address this issue, wiener filter is embedded into the geometric filter during iteration process. The performance of geometric-wiener filter is further enhanced using fuzzy filters and the proposed despeckling techniques are called integrated fuzzy filters. Fuzzy filters based on moving average and median value are employed in the integrated fuzzy filters. The performances of integrated fuzzy filters are tested on echocardiographic images and synthetic images in terms of image quality metrics. It is observed that the performance parameters are highest in case of integrated fuzzy filters in comparison to fuzzy and geometric-fuzzy filters. The clinical validation reveals that the output images obtained using geometric-wiener, integrated fuzzy, nonlocal means, and details preserving anisotropic diffusion filters are acceptable. The necessary finer details are retained in the denoised echocardiographic images.
Move to be Moved

Movement-based design is reaching critical mass in HCI, and we can start to identify strategies, similarities and differences in how it is approached. Similarities may include, for example, a strong first person perspective on design, emphasising movement, somatics and aesthetic sensibilities of the designer, as well as starting from the premise that our bodily ways of being in the world are shaped by the ecologies of people, cultural practices and the artefacts we create and use. Different classes of systems are starting to emerge, such as spurring somaesthetic appreciation processes using biofeedback loops or carefully nudging us to interact with our own movements; engaging us in affective loops where the technology takes on a stronger agency, attempting to pull participants into particular experiences; extending on our senses and perception -- even creating new senses through technology; social interactions, engaging us to jointly explore movement or touch; even endowing machines with their own "somatics", exploring our relationship to technology; as well as engaging in larger political issues around the body, such as gender perspectives, or challenging the mind-body divide.
Coping With Terrorism: The Impact of Increased Salience of Terrorism on Mood and Self-Efficacy of Intrinsically Religious and Nonreligious People

It was hypothesized that intrinsic religiousness helps to cope with increased salience of terrorism. Intrinsically religious and nonreligious participants were told that it is highly probable or highly improbable, respectively, that terrorist attacks will occur in Germany. High probability of terrorism only negatively affected the mood of nonreligious participants but not of intrinsically religious participants (Study 1). Using as a realistic context of investigation the terrorist suicide bombings in Istanbul, the authors replicated this finding and shed some light on the underlying psychological processes (Study 2): On the day of the terrorist attacks (high salience of terrorism), nonreligious participants experienced less positive emotions and less self-efficacy than did intrinsically religious participants. Two months later (low salience of terrorism), no differences were found between nonreligious and intrinsically religious participants with regard to mood and self-efficacy. Mediational analyses suggested that the mood effects were associated with differences in the reported sense of self-efficacy.
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Modeling and Crosstalk Evaluation of 3-D TSV-Based Inductor With Ground TSV Shielding

In this paper, we present a novel through-silicon-via (TSV)-based 3-D inductor structure with ground TSV shielding for better noise performance. In addition, a circuit model is proposed for the inductor, which can reduce the simulation time over finite-element-based 3-D full-wave simulation. Rigorous 3-D full-wave simulation is performed up to 10 GHz to validate the circuit model. The ground TSV-based 3-D inductor is found to be resilient to TSV-TSV crosstalk noise compared with conventional 3-D inductors. The simulation results revealed that more than -33 dB of isolation can be achieved at 2 GHz between the 3-D inductor and the noise probe.
Extractive Multi-Document Summaries Should Explicitly Not Contain Document Specific Content

Unsupervised approaches to multi-document summarization consist of two steps: finding a content model of the documents to be summarized, and then generating a summary that best represents the most salient information of the documents. In this paper, we present a sentence selection objective for extractive summarization in which sentences are penalized for containing content that is specific to the documents they were extracted from. We modify an existing system, Hier-Sum (Haghighi & Vanderwende, 2009), to use our objective, which significantly outperforms the original HierSum in pairwise user evaluation. Additionally, our ROUGE scores advance the current state-of-the-art for both supervised and unsupervised systems with statistical significance.
Combining Response Times and Choice Data Using A Neuroeconomic Model of the Decision Process Improves Out-of-Sample Predictions ∗

A basic problem in empirical economics involves using data from one domain to make out-of-sample predictions for a different, but related environment. When the choice data are binary, a canonical method for making these types of predictions is the logistic choice model. We investigate if it is possible to improve out-of-sample predictions by changing two aspects of the canonical approach: 1) Using response times in addition to the choice data, and 2) Combining them using a model from the neuroeconomics literature, called the Drift-Diffusion Model (DDM). We compare the out-of-sample prediction accuracies of both methods using both simulations and real experimental data. In both cases we find that the DDM method outperforms the logistic prediction method. Furthermore, although the improvement in prediction accuracy is small for the case in which items have very similar or very different values, the DDM method improves prediction accuracy substantially for intermediate cases. JEL Classification: C9, D03, D87
Effect of soybean ureases on seed germination and plant development

Abstract Urease catalyzes the hydrolysis of urea to ammonia and carbon dioxide. The ammonia (nitrogen (N) product of urease activity) is incorporated into organic compounds. Thus, urease is involved in N remobilization, as well as in primary N assimilation. Two urease isoforms have been described for soybean: the embryo-specific, encoded by the Eu1 gene, and the ubiquitous urease, encoded by Eu4. A third urease-encoding gene was recently identified, designated Eu5, which encodes the putative protein product SBU-III. The present study aimed to evaluate the contribution of soybean ureases to seed germination and plant development. Analyses were performed using Eu1/Eu4/Eu5-co-suppressed transgenic plants and mutants of the Eu1 and Eu4 urease structural genes, as well as a urease-null mutant (eu3-a) that activates neither the ubiquitous nor embryo-specific ureases. The co-suppressed plants presented a developmental delay during the first month after germination; shoots and roots were significantly smaller and lighter. Slower development was observed for the double eu1-a/eu4-a mutant and the eu3-a single mutant. The N content in transgenic plants was significantly lower than in non-transgenic plants. Among the mutants, eu3-a presented the lowest and eu1-a the highest N content. Altogether, these results indicate that increased ureolytic activity plays an important role in plant development.
Vision-based geometry estimation and receding horizon path planning for UAVs operating in urban environments

This paper presents a receding horizon control strategy to enable small unmanned air vehicles to fly autonomously through complex urban environments. An adaptive, multiresolution-based learning algorithm is employed to estimate the 3D geometry of the environment. This learning algorithm generates an adaptive approximation based on measurements of the 3D positions of static points in the environment, obtained via feature point tracking and structure from motion. A receding horizon path planning strategy is used to select a series of locally-optimal path points in front of the vehicle. These path points are selected in such a manner that the vehicle approaches an overall target point while avoiding static obstacles that may lie in its path. These obstacles are estimated via the adaptive learning algorithm, which provides constraints for the path planner. A standard waypoint controller is then used to fly the vehicle through the selected path points. This vision-based control strategy is demonstrated in simulations of a small UAV flying through a virtual urban environment
Phase matching of degenerate four wave mixing in silicon-chalcogenide slot waveguides

We present a novel design route for silicon/chalcogenide hybrid slot waveguides, which allows waveguide geometries with FOM > 1, a maximum field concentration within the infiltrated material and a vanishing group velocity dispersion (GVD) at the same time [1]. The independent adjustment of the GVD and the mode profile is achieved by a small periodic variation of the refractive index along the waveguide. This introduces a photonic band gap for the waveguide mode leading to additional band bending in the vicinity of the band gap. With the presented scheme the phase matching condition can be fulfilled independently from the wave guide cross section. The GVD = 0 condition can be easily tuned to the wavelength of interest allowing a flexible design of the hybrid photonic components.
The Glycosylphosphatidyl Inositol-Anchored Adhesion Molecule F3/Contactin Is Required for Surface Transport of Paranodin/Contactin-Associated Protein (Caspr)

Paranodin/contactin-associated protein (caspr) is a transmembrane glycoprotein of the neurexin superfamily that is highly enriched in the paranodal regions of myelinated axons. We have investigated the role of its association with F3/contactin, a glycosylphosphatidyl inositol (GPI)-anchored neuronal adhesion molecule of the Ig superfamily. Paranodin was not expressed at the cell surface when transfected alone in CHO or neuroblastoma cells. Cotransfection with F3 resulted in plasma membrane delivery of paranodin, as analyzed by confocal microscopy and cell surface biotinylation. The region that mediates association with paranodin was mapped to the Ig domains of F3 by coimmunoprecipitation experiments. The association of paranodin with F3 allowed its recruitment to Triton X-100–insoluble microdomains. The GPI anchor of F3 was necessary, but not sufficient for surface expression of paranodin. F3-Ig, a form of F3 deleted of the fibronectin type III (FNIII) repeats, although GPI-linked and expressed at the cell surface, was not recovered in the microdomain fraction and was unable to promote cell surface targeting of paranodin. Thus, a cooperative effect between the GPI anchor, the FNIII repeats, and the Ig regions of F3 is required for recruitment of paranodin into lipid rafts and its sorting to the plasma membrane.
Routing and Staffing in Customer Service Chat Systems with Impatient Customers

We consider customer service chat CSC systems where customers can receive real time service from agents using an instant messaging IM application over the Internet. A unique feature of these systems is that agents can serve multiple customers simultaneously. The number of customers that an agent is serving determines the rate at which each customer assigned to that agent receives service. We consider the staffing problem in CSC systems with impatient customers where the objective is to minimize the number of agents while providing a certain service level. The service level is measured in terms of the proportion of customers who abandon the system in the long run. First we propose effective routing policies based on a static planning LP, both for the cases when the arrival rate is observable and for when the rate is unobservable. We show that these routing policies minimize the proportion of abandoning customers in the long run asymptotically for large systems. We also prove that the staffing solution obtained from a staffing LP, when used with the proposed routing policies, is asymptotically optimal. We illustrate the effectiveness of our solution procedure in systems with small to large sizes via numerical and simulation experiments.
Multiresolution Aspects of a Mesh based still Image Coder

Today, there is an important increase in the amount of videos and still images on the networks. Therefore it is important use very e±cient compression methods. Among these compression methods, those based on wavelets have been recently developed, providing a very e±cient tool to compress images. In [3], [4] and [5] sophisticated methods were proposed, taking into account the statistical distribution of the coe±cients obtained by a subband decomposition of the image. The last method was chosen for the new ̄x image compression standard JPEG2000, providing scalability, high compression rates with a good quality reconstruction and many functionnalities such as easy region encoding. Despite it provides the best compression rates among all compression methods, the approaches based on a subband decomposition of the images with 2-dimensional wavelets su®er from some visual artefacts like ringing around edges. Moreover, there is a certain lack of °exibility in the block motion estimation for video schemes. At the same time some very e±cient methods from the approximation theory were especially designed to represent tridimensionnal objects or numerical models of terrains [1]. In [2] a method is developed to apply this ̄nite elements model based on triangular meshes to video and image compression. The mesh structure is used for both motion compensation and image representation. In terms of video there is a better °exibility with the meshes than with the blocks. For image compression it allows a better quality than JPEG for the same compression rate, an accurate representation of the edges avoiding the ringing artefacts. The main drawback of the method remains in a worse quality reconstruction for a same rate reconstruction that the best wavelet encoders allow. The main purpose of the presentation is the analysis of these 2 kinds of coders. First of all we give the factors providing better performances for the wavelet encoder when compared to the mesh based, then we derive from this analysis the set up of a better mesh based intra coder which is an essential component of a general video coder. This paper aims to establish the similarities and di®erences between the two approaches. A systematic analysis compares the respective performances of both methods. It is shown that for an equivalent number of coe±cients, the Finite Elements representation is not worse than the subband representation when keeping only the low frequency subbands coe±cients. It is also shown that without a sophisticated rearrangement of the
Conscious and controlling elements in combinatorial group testing problems

In combinatorial group testing problems Questioner needs to find a special element $x \in [n]$ by testing subsets of $[n]$. Tapolcai et al. introduced a new model, where each element knows the answer for those queries that contain it and each element should be able to identify the special one. Using classical results of extremal set theory we prove that if $\mathcal{F}_n \subset 2^{[n]}$ solves the non-adaptive version of this problem and has minimal cardinality, then $$\lim_{n \rightarrow \infty} \frac{|\mathcal{F}_n|}{\log_2 n} = \log_{(3/2)}2. $$ This improves results by Tapolcai et al. We also consider related models inspired by secret sharing models, where the elements should share information among them to find out the special one. Finally the adaptive versions of the different models are investigated.
Evaluation of the Interaction between Long Telomeric DNA and Macrocyclic Hexaoxazole (6OTD) Dimer of a G-quadruplex Ligand

Macrocyclic hexaoxazole dimer of L2H2-6OTD-dimer (3) was newly synthesized as a telomeric G-quadruplex (G4) ligand, and interaction with long telomeric DNAs telo48, 72, and 96 was evaluated by means of electrophoresis mobility shift assay, CD spectra analysis, and CD melting experiments. The L2H2-6OTD-dimer (3) interacted with the long telomeric DNAs by inducing anti-parallel type G4 structure of each unit of 24 bases, i.e., (TTAGGG)4 sequences. Dimer 3 stabilizes long telomeric DNAs more efficiently than the corresponding monomer of L2H2-6OTD (2). It showed potent inhibitory activity against telomerase, with an IC50 value of 7.5 nm.