Miracle-dz/UniFAR-FTUs huggingface dataset:
Trans-sialidase Stimulates Eat Me Response from Epithelial Cells

Epithelial cell invasion by the protozoan parasite Trypanosoma cruzi is enhanced by the presence of an enzyme expressed on its cell surface during the trypomastigote life cycle stage. The enzyme, trans‐sialidase (TS), is a member of one of the largest gene families expressed by the parasite and the role of its activity in mediating epithelial cell entry has not hitherto been understood. Here we show that the T. cruzi TS generates an eat me signal which is capable of enabling epithelial cell entry. We have utilized purified, recombinant, active (TcTS) and inactive (TcTS2V0) TS coated onto beads to challenge an epithelial cell line. We find that TS activity acts upon G protein coupled receptors present at the epithelial cell synapse with the coated bead, thereby enhancing cell entry. By so doing, we provide evidence that TS proteins bind glycans, mediate the formation of distinct synaptic domains and promote macropinocytotic uptake of microparticles into a perinuclear compartment in a manner which may emulate entosis.
Efficient Contrast Effect Compensation with Personalized Perception Models

Color is one of the most effective visual variables and is frequently used to encode metric quantities. Contrast effects are considered harmful in data visualizations since they significantly bias our perception of colors. For instance, a gray patch appears brighter on a black background than on a white background. Accordingly, the perception of color‐encoded data items depends on the surround in the rendered visualization. A method that compensates for contrast effects has been presented previously, which significantly improves the users’ accuracy in reading and comparing color encoded data. The method utilizes established perception models to compensate for contrast effects, assuming an average human observer. In this paper, we provide experiments that show a significant difference in the perception of users. We introduce methods to personalize contrast effect compensation and show that this outperforms the original method with a user study. We, further, overcome the major limitation of the original method, which is a runtime of several minutes. With the use of efficient optimization and surrogate models, we are able to reduce runtime to milliseconds, making the method applicable in interactive visualizations.
Following experts at work in their own information spaces: Using observational methods to develop tools for the digital library

Digital libraries allow information access to be integrated into work processes rather than separated from them, but also have the potential to overwhelm users with excessive or irrelevant information, impairing their performance rather than improving it. With the opportunity to create new models of what a library is and how it can be used comes the challenge of improving our understanding of its patrons, their work, and the circumstances under which they perform it. In this article we offer an overview of our experiences using observational methods to learn about one class of users, expert clinicians treating patients in hospital settings. We describe the evolution of our understanding of the users and their informational tasks, and how this evolving understanding is guiding our efforts to create digital library technology. The multidisciplinary composition of our team has enriched our observations and improved the validity of our analysis and interpretations. The multiple observation methods we have employed, including "think-aloud" scenarios in the laboratory, participant observation in the field, key informant interviews, and focus group sessions, have enabled us to enrich the data set, gain greater insight, and verify findings with informants. The relatively tight cycle of observation, analysis, development, and repeat observation has enabled us to iteratively and more rapidly refine our "user model" and "task model," improving, we hope, the usefulness of the technologies we are developing.
Highly Sensitive Skin‐Mountable Strain Gauges Based Entirely on Elastomers

Quantifying naturally occurring strains in soft materials, such as those of the human body, requires strain gauges with equal or greater mechanical compliance. This manuscript reports materials and mechanics approaches are reported for an all‐elastomer strain measurement device with gauge factor as high as 29 and with Young's modulus that approaches that of the human epidermis. These systems use thin carbon‐black‐doped poly(dimethylsiloxane) (CB‐PDMS) for the strain gauges due to its high resistivity and strong dependence on strain, and thick carbon‐nanotube‐doped PDMS (CNT‐PDMS) for the interconnects due to its comparatively low resistivity and weak dependence on strain. Devices composed of molded, straight resistors of CB‐PDMS joined by serpentine‐shaped interconnects of CNT‐PDMS, both in a matrix substrate of PDMS, have electrical responses that depend almost entirely on the strain in the CB‐PDMS. Integrated structures of this type have Young's moduli of 244 kPa, which lies within the range of values for the human epidermis. Such sheets can be readily laminated on and form conformal contact to the human skin, with only modest mechanical constraints on natural motions. Strains measured in this mode on the wrist are between 11.2% and 22.6%.
Statistics of Quasars Multiply Imaged by Galaxy Clusters

We compute the expected number of quasars multiply imaged by cluster-size dark halos for current wide-field quasar surveys by carrying out a large ensemble of ray-tracing simulations through clusters from a cosmological N-body simulation of the ΛCDM cosmology, with power spectrum normalization σ8 = 0.95. Our calculation predicts ~4 quasar lenses with splittings θ > 10′′ in the SDSS spectroscopic quasar sample, consistent with the recent discovery of the wide separation lens SDSS J1004+4112, which has θ = 14.6′′. The SDSS faint photometric quasar survey will contain ~12 multiply imaged quasars with splittings θ > 10′′. Of these, ~2 will be lenses with θ > 30′′, and ~2 will be at high redshift (zs ~ 4).
On the Way to Learning Deterministic Objects

The paper deals with learning knowledge about objects, i.e. entities of the real environment. This is an important topic, often neglected by machine learning. The whole experimental approach is implemented via the integration of several areas of AI, namely machine learning, knowledge base management, reasoning, especially Prolog-like and analogical. More specifically, the approach is based on further generalization of already learned (generalized) rules, and on analogy. How to obtain suitable rules and how to organize learned knowledge into ontology is analyzed too. The ontology has special properties, like rules, interconnection of descriptions (concepts) via interfaces, use of views, and modularization.
The Extensible XML Information Set

XML and its data model, the XML Information Set, are used for a large number of applications. These applications have widely varying data models, ranging from very simple regular trees to irregularly structured graphs using many different types of nodes and vertices. While some applications are sufficiently supported by the data model provided by the XML Infoset itself, others could benefit from extensions of the data model and assistance for these extensions in supporting XML technologies (such as the DOM API or the XSLT programming language). In this paper, we describe the Extensible XML Information Set (EXIS), which is a reformulation of the XML Infoset targeted at making the Infoset easier to extend and to make these extensions usable in higher-level XML technologies. EXIS provides a framework for defining extensions to the core XML Infoset, and for identifying these extensions (using namespace names). Higher-level XML technologies (such as DOM or XPath) can then support EXIS extensions through additional interfaces, such as a dedicated DOM module, or XPath extension mechanisms (extension axes and/or functions). In order to make EXIS work, additional efforts are required in these areas of higher-level XML technologies, but EXIS itself could be used rather quickly to provide a foundation for well-defined Infoset extensions, such as XML Schema’s PSVI contributions, or the reformulation of XLink as being based on a data model (rather than a syntax).
Porting applications to an ARINC 653 compliant IMA platform using Vxworks as an example

With the advent of ARINC 653-1 and the availability of ARINC 653 complaint partitioned systems, most avionics manufacturers are now faced with migrating or porting their existing legacy applications from a single address space system widely used in federated avionics systems to an ARINC-653 system. This work discusses the issues of scheduling and latency effects of the partitions as well as issues of different operating modes (flight, ground maintenance, etc.) and considerations needed when moving these applications to the new system using Wind River's VxWorks RTOS as the example environment.
A New Approach for Information Security using Asymmetric Encryption and Watermarking Technique

Rapid growth of internet and networked information systems has contributed a lot in the increase of multimedia contents. As digital contents are increasing day by day on internet it has raised requirement for the effective protection of multimedia assets (images, audios, videos). This paper proposes a new approach to protect the multimedia contents using image watermarking, asymmetric encryption and dictionary based compression. Approach presented in this paper hides target image in the host image using image watermarking and then apply RSA algorithm for protecting watermarked image from tempering and subsequently applies dictionary based compression approach to reduce size of encrypted watermarked image. General Terms and
On the average performance of caching and coded multicasting with random demands

For a network with one sender, n receivers (users) and m possible messages (files), caching side information at the users allows to satisfy arbitrary simultaneous demands by sending a common (multicast) coded message. In the worst-case demand setting, explicit deterministic and random caching strategies and explicit linear coding schemes have been shown to be order optimal. In this work, we consider the same scenario where the user demands are random i.i. d. , according to a Zipf popularity distribution. In this case, we pose the problem in terms of the minimum average number of equivalent message transmissions. We present a novel decentralized random caching placement and a coded delivery scheme which are shown to achieve order-optimal performance. As a matter of fact, this is the first order-optimal result for the caching and coded multicasting problem in the case of random demands.
The effect of electronic word of mouth communication on purchase intention and brand image: An applicant smartphone brands in North Cyprus

Article history: Received: January 02, 2019 Received in revised format: January 17, 2019 Accepted: January 17, 2019 Available online: January 20, 2019 This study aims to examine the effects of electronic word of mouth communication (eWOM) among consumers on purchase intention and brand image, specifically, Generation Y and Z groups in relation to smartphone brands. The study utilizes an empirical research model using data collected from 402 valid respondents among consumers who use smartphone brands in North Cyprus. The study uses structural equation modeling (SEM) to explore and conduct the analysis. The results confirm the significant effects of eWOM on purchase intention through brand image and the moderating role of product type among eWOM, purchase intentions and brand image. The study also recommends that firms and marketers must concentrate on online communication channels to affect consumers’ intention toward purchasing brands and brand image. Moreover, the current study model suggests that future study can be extended in different context, countries (i.e. developed, emerging, developing), industries (i.e. banks, e-commerce, tourism) and different social media platforms sites (i.e. Facebook, Twitter). © 2019 by the authors; licensee Growing Science, Canada
An EÆcient Public Key Traitor Tracing Scheme

We construct a public key encryption scheme in which there is one public encryption key, but many private decryption keys. If some digital content (e.g., a music clip) is encrypted using the public key and distributed through a broadcast channel, then each legitimate user can decrypt using its own private key. Furthermore, if a coalition of users collude to create a new decryption key then there is an eÆcient algorithm to trace the new key to its creators. Hence, our system provides a simple and eÆcient solution to the \traitor tracing problem". Our tracing algorithm is deterministic, and catches all active traitors while never accusing innocent users, although it is only partially \black box". A minor modi(cid:12)cation to the scheme enables it to resist an adaptive chosen ciphertext attack. Our techniques apply error correcting codes to the discrete log representation problem.
Sound source localization method based on binaural model paper title

A method for a mobile robot to localizing a sound source in noisy environments by means of a microphone array is proposed. Firstly, a sound source localization algorithm extended from the binaural model is proposed to provide observed azimuth estimates. Then, the rules processing the signs of time-delays are proposed to make the estimates stable. Experiments show that the method is effective.
An adaptive template eye location based on Gabor transform method using web camera

An adaptive template matching method for human eye location is proposed by using ordinary web camera. Face video is captured by using an ordinary web camera. The face region is firstly detected by applying face detection algorithm based on Haar-like feature. The pupil position in human face frame is determined based on Gabor transform eye location method, which is used as an initial eye template. The following eyes are located by matching the pupil in previous frame as adaptive template. Experimental results show that the proposed eye location method is more accuracy than the traditional eye template matching method.
Introduction to the special issue on Networks-on-Chip ( NoC ) of the Journal of Parallel and Distributed Computing ( JPDC )

It is with great pleasure that we introduce the special issue on Networks-on-Chip (NoC) to the readers of the Journal of Parallel and Distributed Computing (JPDC). This special issue consists of eight peer-reviewed papers that cover a wide spectrum of topics in NoC design. Large multicore-based and multiprocessor-based systems-onchip (MPSoC) architectures will easily consist of billions of transistors according to projected technology roadmaps. The complexity in integrating hundreds of cores running simultaneously on a single chip calls for a serious need to revisit the on-chip communication infrastructure. The new on-chip communication paradigm that can effectively address and overcome the design issues is called theNetworks-on-Chip (NoC) paradigm. This special issue focuses on how to meet some of the design challenges posed by current and future NoCs in scalable multicore architectures. The NoC paradigm provides the scalable infrastructure with which we can integrate a large number of computational logic and storage blocks on a single chip. While traditional bus-based networks and point-to-point networks can provide communication bandwidth, they suffer from increased power dissipation and contention or latency issues. Therefore, the NoC paradigm has evolved from the desire to have an infrastructure that can be easily scaled and modularly expanded. With modular and regular communication paths, NoCs enable path diversity, reusability and predictability, which, when combined, reduce network congestion, alleviate power dissipation, and provide enhanced reliability. Mobile handsets, wireless chipsets, portable multimedia and cell phones are just a few applications which make use of MPSoC. In these energy-constrained environments, performance, power consumption and delivery, reliability, fault tolerance, error recovery and hardware costs of the underlying communication fabric (NoC) are posing serious design challenges. Moreover, implementation, testing, yield, modeling and quality of service (QoS) are also related to the practical realization of these systems. With technology scaling, concerns aboutmetallic interconnects for NoC and their scalability into the subnanometer regime are also being debated. With the goal of exploring how the research community is aggressively meeting these challenges, this special issue brings together outstanding experts from both academia and industry who have made significant contributions to the area of NoC design. The first paper in the special section is ‘‘RAFT: A Router Architecture with Frequency Tuning for On-chip Networks’’, by Asit K. Mishra, Aditya Yanamandra, Reetuparna Das, Soumya Eachempati, Ravi Iyer, N. Vijaykrishnan, and Chita R. Das. In this paper, the authors propose to minimize the power dissipation in
Cystatin B Deficiency Sensitizes Neurons to Oxidative Stress in Progressive Myoclonus Epilepsy, EPM1

The progressive myoclonus epilepsies, featuring the triad of myoclonus, seizures, and ataxia, comprise a large group of inherited neurodegenerative diseases that remain poorly understood and refractory to treatment. The Cystatin B gene is mutated in one of the most common forms of progressive myoclonus epilepsy, Unverricht–Lundborg disease (EPM1). Cystatin B knockout in a mouse model of EPM1 triggers progressive degeneration of cerebellar granule neurons. Here, we report impaired redox homeostasis as a key mechanism by which Cystatin B deficiency triggers neurodegeneration. Oxidative stress induces the expression of Cystatin B in cerebellar granule neurons, and EPM1 patient-linked mutation of the Cystatin B gene promoter impairs oxidative stress induction of Cystatin B transcription. Importantly, Cystatin B knockout or knockdown sensitizes cerebellar granule neurons to oxidative stress-induced cell death. The Cystatin B deficiency-induced predisposition to oxidative stress in neurons is mediated by the lysosomal protease Cathepsin B. We uncover evidence of oxidative damage, reflected by depletion of antioxidants and increased lipid peroxidation, in the cerebellum of Cystatin B knock-out mice in vivo. Collectively, our findings define a pathophysiological mechanism in EPM1, whereby Cystatin B deficiency couples oxidative stress to neuronal death and degeneration, and may thus provide the basis for novel treatment approaches for the progressive myoclonus epilepsies.
Two-frequency surveillance technique for intrusion-detection sensor with Leaky Coaxial Cables

This paper presents a new design and achievement of Leaky Coaxial Cable (LCX)-based intrusion-sensing techniques. LCX radiates microwaves from slots milled on the outer conductor. This sensor can detect an intrusion object by measuring the variation of received signal. LCX has two types of emitting modes, radiation mode and surface mode. The microwave radiates to far field in radiation mode. On the other hand, the microwave exists only around the LCX in surface mode. Although the conventional LCX-based sensor operates the LCX in only one mode to detect and classify an object, this paper introduces a simultaneous sensing technique using these two modes. Comparing the signals in both modes, the classification of an object can be estimated. The theory of the emitting modes of LCX and the developed sensor prototype are described. Experimental results are presented to show that the proposed sensing techniques are valid.
Towards a cognitive theory of the firm: issues and a logic of change

The paper consists of three parts. The first part gives an inventory of issues that no cognitive theory of the firm can ignore. These are grouped into three themes: aspects of development, issues of coordination and philosophy of knowledge and language. The second part of the paper tries to develop a general logic of change, and to make this logic more determinate and rigorous with the aid of the notion of scripts. The third part gives an 1 In 1996 this paper was awarded the William K. Kapp prize by the European Association for Evolutionary Political Economy. 2 The author thanks Rene Jorna and Laszlo Polos for their encouraging and useful comments and questions. Of course the responsibility for errors rests entirely with the author.
The relationship between logistics sophistication and drivers of the outsourcing of logistics activities

A strong link has been established between operational excellence and the degree of sophistication of logistics organization, a function of factors such as performance monitoring, investment in Information Technology [IT] and the formalization of logistics organization, as proposed in the Bowersox, Daugherty, Droge, Germain and Rogers (1992) Leading Edge model. At the same time, shippers have been increasingly outsourcing their logistics activities to third party providers. This paper, based on a survey with large Brazilian shippers, addresses a gap in the literature by investigating the relationship between dimensions of logistics organization sophistication and drivers of logistics outsourcing. To this end, the dimensions behind the logistics sophistication construct were first investigated. Results from factor analysis led to the identification of six dimensions of logistics sophistication. By means of multivariate logistical regression analyses it was possible to relate some of these dimensions, such as the formalization of the logistics organization, to certain drivers of the outsourcing of logistics activities of Brazilian shippers, such as cost savings. These results indicate the possibility of segmenting shippers according to characteristics of their logistics organization, which may be particularly useful to logistics service providers.
Selective Requirement of Pax6, But Not Emx2, in the Specification and Development of Several Nuclei of the Amygdaloid Complex

The amygdaloid complex is a group of nuclei that are thought to originate from multiple sites of the dorsal and ventral telencephalic neuroepithelium. The mechanisms that regulate their development are essentially unknown. We studied the role of Pax6 and Emx2, two transcription factors that regulate regional specification and growth of the telencephalon, in the morphogenesis of the amygdaloid complex. We used a set of specific marker genes that identify distinct amygdaloid nuclei to analyze Pax6/Small eye and Emx2 knock-out mutant mouse brains. We found that there is a selective requirement for Pax6, but not Emx2, in the formation a subset of nuclei within the amygdaloid complex. Specifically, structures that were not previously considered to be developmentally linked, the nucleus of the lateral olfactory tract and the lateral, basolateral, and basomedial nuclei, all appear to have a common requirement for Pax6. Together, our findings provide new insights into the origins and mechanisms underlying the development of the amygdaloid complex.